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Feb 2022: Update on crypto markets, stock markets and global macroeconomics. When the bulls are away, the bears will play. If you have been watching the markets in the past few weeks, well… hopefully you have not been looking too closely. In the past, many experts have highlighted some main points about crypto markets and this particular time of year. Some characteristics of crypto markets are similar to stocks. However, there are large differences with crypto, as the market is truly worldwide and open 24/7. First, we have the eternal battle between the bears and the bulls. An actual bear attacks with a downward strike of his claws; in stock and crypto markets, bears want the markets to go down. This is because markets tend to go down swiftly, especially in times of fear, and bears can make more money, more quickly, when markets go swiftly down. A literal bull attacks with an upward strike of his horns; in stock and crypto markets, bulls want the markets to go up. Markets often tend to behave irrationally, but it is frequently said that “markets take the elevator down, and the stairs back up." A downturn in prices can drop further and faster when there is panic in the markets. Markets are driven by fear and greed, and fear tends to be more contagious than a simple pandemic, as you can catch it online as well. When the markets are panicking, it can be hard to keep your cool and think rationally, but that is exactly what the bulls and value investors must do to win. Value investors believe that crypto and blockchain are the future of banking, insurance, technology, and financial systems. Despite the distracting media static, doom and gloom headlines, and other bad news, value investors must keep faith in what they believe and where they think the world will be. "If in doubt, zoom on out" is also great advice. Financial adviser since 1992, Jeremy Britton, says, “if in doubt, zoom right out”. Hourly and daily price fluctuations can cause panic and uncertainty, so it is important to look at price growth over 1, 3, or 5 years. The charts show Bitcoin is up 249% over the last four years, whilst the diversified Bostoncoin crypto portfolio is up over 800% in the same period. What else is driving the markets? Aside from the eternal struggle of bulls and bears, over the past several years, it is noted that seasons and holidays play a role, particularly in crypto prices. Western nations may celebrate Easter, Christmas, Thanksgiving, and similar traditions, but westerners must remember that over two-thirds of the world may not celebrate these dates. Many Asian countries celebrate Chinese New Year instead ( ). 2022 is the year of the Water Tiger, which last occurred in 1962, thanks for asking In many Asian nations, Chinese New Year is a time to spend with family. Millions of factories and businesses close, and hundreds of millions of people take time off work and travel to be with family. Production slows to a snail’s pace, and many investors sell off their holdings to spend funds on travel, gifts, food, or just because there is no work. If you have been around crypto markets for a few years, you will know that crypto investors in Asian nations tend to sell off towards Dec-Jan and then the market slowly recovers leading back into March-April ( ). the date of Chinese New Year is linked to the moon, so it is not the same day every year In the West, many investors are watching the US Fed as it struggles with the outcome of its own cash-printing silliness. There were many people who could not work during pandemic shutdowns, and small businesses, in particular, did require some increased funding. The problem was that under-regulated Fed QE policies saw some very large businesses receiving massive bail-outs, even as their profits rose. The system was not perfect and did not seem fair to all. Anyone who has completed Economics 101 knows that giving boatloads of free cash to anyone and everyone would result in hyperinflation and rising asset prices. Perhaps the boffins working in Central Banks may have skipped class that day? A few weeks ago, the US government was claiming that higher prices, inflation, and supply-chain shortages would be “transitory”. They are no longer saying this, as the realisation of hyperinflation sets in. The only way to prevent record inflation is to increase interest rates, which would likely devastate both homeowners and business owners. Higher interest rates can also trigger a drop in stocks, bonds, and yes, even crypto, as investors are forced to sell down assets to repay debt. On the surface, one can understand why market panic may be driving prices down, even though western rate rises are currently just a rumour. Interestingly, Lloyds of London and other . Draw your own conclusions, but it seems that many banks may be assuming very low interest rates for a decade or more. UK banks are now offering fixed-rate mortgages of 1.66% for ten years Is there any good news? The good news includes: 1)      Bears eventually go back to hibernating, particularly when the seasons change and other news comes out. 2)      Interest rate hikes may be lower and slower than first feared. 3)      The COVID pandemic may be having less of an impact on economies in 2022, as vaccine rates increase, less-deadly variants emerge, and herd immunity increases. 4)      Crypto’s brief forays into lower-price territory can mean some bargains for value investors, especially the brave bulls who have the opportunity to invest before the recovery is fully known. 5)      Tried and tested habits such as dollar-cost averaging (DCA), diversifying, and “buying the dip” still work well, provided you choose quality investments. What is the smart money doing? There is nothing much the bulls can do to reverse the impetus when the bears want to drive prices down. What the ‘zoomers’ (smart money investors who zoom out on charts) can do is take advantage of lower prices when there is market panic, or incidences of Fear, Uncertainty, and Doubt (FUD). This month, directors of BostonTrading.co took advantage of lower prices to add additional holdings to some of their existing investments. In a month where market leaders Bitcoin and Ethereum were down by 30-50%, the Bostoncoin fund bought more of each asset, just as a smart person would stock up on toilet paper or tinned food when the prices are suddenly slashed. Whether you believe the near future will include an idyllic Metaverse or a zombie apocalypse, people will probably need BTC and ETH just as much as we need toilet paper and tinned corn. Crypto winners this month include •        CRO, even after a drop, still up 220% for the year •        SAND, the promise of gaming and metaverse, up 420% •        SECRET, a wise buy that is now up 476% for the year •        LPT, defying trends to grow by 725% in 12 months •        XYO, still going gangbusters at 8 580% increase for the year In other news… Directors double-down during the dip When Bitcoin was first created, the founder(s) never held any tokens for themselves just because they knew how. If anyone wanted to get Bitcoin, the person had to either add power and value to the network by mining or buying BTC from the open market. There were no special privileges for a select few. From all accounts, it seemed that Satoshi Nakamoto despised the elites and their "enrichment for the 1%" agenda. Some (dodgy) coin issuers engage in unfair market practices by holding back a large chunk of coins for founders, developers, marketers, and influencers. The scammers release 20-50% of the coins to the market, and when the price increases, they can dump their own “free” coins for a profit and get rich whilst they crash the market. This has happened time and time again with . Let the buyer beware, especially of celebrities who are not experts, and always do your homework. worthless meme coins and tokens pushed by celebrities The founding team of BostonCoin and BostonTrading.co is comprised of all investors, who put in their own funds before the coin was launched to the public. There were never any preferential tokens held back from the open market, and none were awarded to anyone for any reason. This is known as a “fair launch” or “fair issue”, where, just like Bitcoin, everyone is invested on an equal opportunity basis. During the recent price drop, the Bostoncoin team invested more into the portfolio whilst the price was down. This is a show of confidence, and the team is proud to be long-term value investors. “It is important to believe in what crypto stands for. We avoid the scammers, FUD-sters, and nay-sayers. News media changes every day, but long-term, value investing always beats the market fluff and hype. To those who HODL for the long-term, and to those who double-down on the dips, we salute you,” said CFO Jeremy Britton in his latest newsletter. Cathie Wood’s flagship ARK Innovation ETF is now trading at around a 56% discount from its peak last year, and some investors may be wondering whether to take notice of her clarion call to buy innovation which is on “sale.” Speaking last Tuesday at Ark Investment Management’s virtual Big Ideas Summit 2022, following a big drawdown from her flagship ETF, Wood declared, “Innovation is on sale and it will be really important to investors to get to move towards the right side of change, given the amount of disruption that we do expect.” Nine of the fifty ARK Innovation ETF’s holdings have grown revenues at over 100% per annum, including those that have grown revenues at a rate of over 50% brings the total number to 21, just under half of their 50 stocks. Considering the average returns in traditional stocks, such as the ASX200 (3.7% for the past twelve months) and the SP500 (18.8% for the year), crypto markets, with their innovation and double or triple-digit returns, can no longer be ignored.

Crypto is Down But Not Out

The crypto market is notoriously volatile. Just recently we experienced a major drop in prices due to the news about , and after that we had the news regarding . So what should you do as a crypto project when the market is down in order to strengthen your brand? Should you continue to pump out press news or should you wait for the market to recover? Evergrande’s debt crisis China’s ban of bitcoin To retain strong brand positioning during the inevitable market downturns and to be best prepared for the eventual uptick, you need to pursue several strategies. All of them hinge on keeping your team and your community informed, engaged, and focused on the end goal. In moments of crisis, your community members are your safe haven and buoy to keep you safe from the market’s tidal waves. You can help them by defueling the FUD and reminding them to stay focused and not to panic. Here are a few more things you can do to strengthen your project. Time for product development While talk of the next great crypto depression is flying around, it’s probably not the best time to announce your long-awaited news to the press. Instead, during this time, invest your and your team’s efforts into product development. Now is the time to work out the kinks in your wallet, to supercharge your plans for a smart contract solution, or to add new security features to your platform. The period during a down market is a great time to roll up your sleeves and focus on some intensive in-house production work as opposed to external, overt communication. Working intensively through the market dip also means that when the market goes back up and it’s time to ramp up external communications, you have even more great news to share. So document your product development meticulously and have your announcements at the ready for after the crisis is over. Then you can enjoy maximum impact and well-deserved media attention, as crypto media will likely be looking for positive stories to tell after a prolonged period of pessimism and tanking valuations. Direct communication inwards A down market means you should put your media outreaches on ice, yet there is another audience you should be speaking to even more often: your team. As you pursue company progression and product development, you need to kick your internal communications into higher gear. This involves more internal company memos and speeches, maintaining transparency, checking in regularly with the team members, and boosting morale. Your employees are getting the same news and market analyses as everyone else in the space, so it’s natural for them to feel at least a little bit disheartened about the current low. It’s your job to keep the team members’ and the community’s spirits high and remind them why they’re a part of your project in the first place. Remind them of the vision, give them strength and encouragement to hold on, and reassure them not to let any FUD detract them from their mission. Make sure you communicate the project’s goals clearly and demonstrate how each step contributes to achieving them. Draw up a roadmap clearly depicting how your project will not only survive but thrive in the future. Such a programmatic document helps you plan your activities better. It also brings the team closer because it presents a unified vision of the different groups’ and departments’ efforts coming together. This sense of belonging is always crucial, but especially key during a market downturn. Communicate genuine WAGMI messaging with the community Product development and maintaining morale internally are all well and good, but there is one more activity during a market low that you cannot put a price on: Huddling your community together and letting them know that “we are going to make it” (WAGMI). The investors, developers, and believers all need your encouragement right now. They are probably rattled by the market reports, high on FUD, and consider abandoning ship. You need to speak to them directly and keep them strong and focused. First and foremost, make yourself available to speak directly with your community. Genuine conversations on crypto podcasts or scheduled AMA sessions and the immediacy of hearing your voice or seeing you in a livestream can make a world of difference to them. Social media appearances should be part of your regular communications strategy anyway, but they become especially important during times when you have to keep your community strong. Help the community with thought leadership and commentary Sharing your expertise and advice especially during a down market, is a wonderful way to show your tribe and the crypto community as a whole that you are here to help the ecosystem. A down market is a genuine opportunity to speak candidly and openly about current challenges and to chart a path forward. By sharing your expert thoughts, you have a chance not only to bring your community together but also to extend your knowledge and experience to other folks in the industry in need of encouragement and guidance. Even under normal circumstances, readers appreciate a well-researched and insightful thought leadership piece that expands their horizons and provides them with a fresh perspective on the crypto space. A market dip naturally increases their appetite for content that educates them on how to handle the situation properly. It is also a prime opportunity to broaden your audience and increase your brand recognition while also helping out journalists who may need a comment or two from an OG such as yourself. People will remember that your deep analyses and insightful observations got them through the hard times and will continue keeping an eye on your project when the sun is shining again. Beat the down market and set sail for growth Thanks to the above steps, your crypto project can maintain its top-of-mind brand positioning despite the inevitable market fluctuations. By investing internally and giving back to your community, while also sharing your knowledge and expertise with the whole crypto space, you strengthen your own brand and help people suppress FUD. With these actions you benefit the whole crypto community, and folks will remember you for it. A down market causes widespread distress, but it also presents an extraordinary opportunity for crypto projects – and crypto leaders – to set themselves apart. After all, crypto is about community, trust, and boldly chasing the horizon. Fluctuating market conditions cannot change these fundamental truths. If you remain faithful to a blockchain future, no price drop will take you off course, and you will emerge stronger and wiser on the other side.

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The New Hollywood leader and one of the world’s most powerful brands just joined forces in a deal that elevates live sports on connected TV (CTV) and hammers another nail in the coffin of linear TV. Netflix announced that it will stream the NFL’s two Christmas Day games in 2024. This marks the beginning of a three-season agreement, during which the streaming service will also air at least one Christmas Day game in both 2025 and 2026. The games will also air on broadcast TV in the competing team cities, and they be available on U.S. mobile devices with NFL+. The Rise of Live Sports on CTV The live sports industry is the last bastion of linear TV viewing. But the world is changing fast. About half of U.S. audiences no longer pay for cable TV or other traditional pay TV services, according to Insider Intelligence. About four out of 10 viewers mainly consume sports content through ad-supported CTV platforms or social media, according to Trade Desk’s Future of TV Report. Streaming services have been gobbling up live sports content over the past few years, ranging from Amazon’s and Peacock’s deals to stream NFL games to Netflix acquiring rights for the WWE. And competition is heating up. A recently announced venture between ESPN, Fox, and Warner Bros. Discovery may account for about 55% of U.S. sports rights, according to Citi analysts. All Hail the NFL Netflix, a Johnny-come-lately to live sports, has good reason to cozy up to the NFL. The NFL dominates television and drives culture. Nielsen says the NFL accounted for a 93 of the 100 most-watched TV broadcasts in 2023. The NFL has wisely sensed and responded to the rise of CTV, agreeing to air games with a variety of streaming companies, among them Amazon Prime, Paramount+, Peacock, and YouTube TV. Thursday Night Football games on Amazon Prime and a Black Friday game (the first ever) in 2024 have delivered ratings and advertising gold. The league created controversy by streaming a 2024 wild card playoff game on Peacock exclusively, which shut out viewers who lacked a Peacock subscription. But the decision delivered numbers: 23 million total viewers, according to Nielsen. NBC said that the game set a record for the most-streamed live event in U.S. history. And Super Bowl LVIII on February 11 game attracted an average viewership of 123.4 million, setting a new record for the most-watched television broadcast in history. Out of this audience, 112 million viewers watched the game on CBS. The remaining viewership was distributed among Paramount+, Nickelodeon, Univision, CBS Sports, and various NFL digital platforms, including NFL+. All Eyes on Amazon The NFL is clearly just getting warmed up. The 2024-25 season will include a game in Brazil streaming exclusively on Peacock. The September 6 game will be the first NFL game played in South America and the second game to air exclusively on Peacock. A playoff wild card game will air on Amazon Prime Video. Amazon streaming a playoff game is especially intriguing. The experience will most certainly be different than the one Peacock featured and speaks to CTV’s potential for changing how people experience live sports. For one thing, Amazon will use the game to test Amazon Ad targeting features as it did with the Black Friday game when Amazon rolled out a new strategy called audience-based creative, allowing advertisers to target different audience segments with different ads in the same time slot.Amazon will also inject commerce into the game-watching experience. Amazon already offers deals for Amazon Prime customers associated with Thursday Night Football, and Amazon really ramped up shopping deals during the 2023 Black Friday game (including limited time deals along with plenty of shoppable ads).Amazon also provides several interactive features to enhance the TV viewing experience, such as X-Ray, which gives fans real-time access to live statistics and data. A feature called the 4th Down Decision Guide offers fans the opportunity to step into the role of NFL coaches during critical moments. It poses the question: should a team attempt to advance on fourth down or opt for a punt? Using machine learning, this tool assesses the success rates of both choices and evaluates their impact on the team's chances of winning the game. These kinds of features (and a lot more) are not gimmicks -- they make watching the game more of an experience. Essentially, Amazon and the NFL are reinventing Black Friday as a hybrid shopping and entertainment experience -- enticing people to stay online and watch football on a day when they’re usually out shopping was at one time unthinkable. The game garnered an average of 9.61 million viewers who watched the Miami Dolphins crush the New York Jets on Amazon Prime Video.The ratings were lower than expected. But Amazon’s first NFL outing with Thursday Night Football underwhelmed at first, too, and now things have turned around. And as Columbia University sports management professor Joe Favorito told The Street, "If you would have said to someone nine million people on the Friday after Thanksgiving are going to watch a streamed NFL game three years ago, people [would] have been jumping up and down." Amazon’s relationship with the NFL will also challenge Netflix to deliver something more experiential especially because Amazon is already creating the state of the art in CTV live sports. I expect Netflix will share more details of its own in coming weeks. A Christmas Advertising Bonanza? Christmas Day marks the NFL’s continued expansion into holiday sports viewing. The NFL averaged 28.4 million viewers across its three games on Christmas Day last season (compare that to the NBA, which averaged 2.8 million across its five games). According to the NFL, last year’s three Christmas games ranking among the top 25 most viewed TV programs of 2023. Analyst Guggenheim predicts that these games will bring in approximately $185 million in direct advertising revenue. This figure is in addition to potential increases in subscriber growth, engagement, or promotional benefits. Such a boost would signify a 15.7% increase over the firm’s existing 2024 advertising forecast of $1.18 billion. I’ve said it before, and I’ll say it again: the day is coming when the Super Bowl will move to CTV. Which New Hollywood business will win that prize? NFL photo by Photo by Adrian Curiel on Unsplash. Netflix photo by Alexander Shatov on Unsplash. The New Hollywood leader and one of the world’s most powerful brands just joined forces in a deal that elevates live sports on connected TV (CTV) and hammers another nail in the coffin of linear TV. Netflix announced that it will stream the NFL’s two Christmas Day games in 2024 . This marks the beginning of a three-season agreement, during which the streaming service will also air at least one Christmas Day game in both 2025 and 2026. stream the NFL’s two Christmas Day games in 2024 The games will also air on broadcast TV in the competing team cities, and they be available on U.S. mobile devices with NFL+. The Rise of Live Sports on CTV The Rise of Live Sports on CTV The live sports industry is the last bastion of linear TV viewing. But the world is changing fast. About half of U.S. audiences no longer pay for cable TV or other traditional pay TV services , according to Insider Intelligence. About four out of 10 viewers mainly consume sports content through ad-supported CTV platforms or social media , according to Trade Desk’s Future of TV Report. About half of U.S. audiences no longer pay for cable TV or other traditional pay TV services About half of U.S. audiences no longer pay for cable TV or other traditional pay TV services About four out of 10 viewers mainly consume sports content through ad-supported CTV platforms or social media About four out of 10 viewers mainly consume sports content through ad-supported CTV platforms or social media Streaming services have been gobbling up live sports content over the past few years, ranging from Amazon’s and Peacock’s deals to stream NFL games to Netflix acquiring rights for the WWE. And competition is heating up. A recently announced venture between ESPN, Fox, and Warner Bros. Discovery may account for about 55% of U.S. sports rights , according to Citi analysts. may account for about 55% of U.S. sports rights may account for about 55% of U.S. sports rights All Hail the NFL All Hail the NFL Netflix, a Johnny-come-lately to live sports, has good reason to cozy up to the NFL. The NFL dominates television and drives culture. Nielsen says the NFL accounted for a 93 of the 100 most-watched TV broadcasts in 2023 . The NFL has wisely sensed and responded to the rise of CTV, agreeing to air games with a variety of streaming companies, among them Amazon Prime, Paramount+, Peacock, and YouTube TV. Thursday Night Football games on Amazon Prime and a Black Friday game (the first ever) in 2024 have delivered ratings and advertising gold. NFL accounted for a 93 of the 100 most-watched TV broadcasts in 2023 NFL accounted for a 93 of the 100 most-watched TV broadcasts in 2023 The league created controversy by streaming a 2024 wild card playoff game on Peacock exclusively, which shut out viewers who lacked a Peacock subscription. But the decision delivered numbers: 23 million total viewers, according to Nielsen. NBC said that the game set a record for the most-streamed live event in U.S. history . NBC said that the game set a record for the most-streamed live event in U.S. history NBC said that the game set a record for the most-streamed live event in U.S. history And Super Bowl LVIII on February 11 game attracted an average viewership of 123.4 million, setting a new record for the most-watched television broadcast in history . Out of this audience, 112 million viewers watched the game on CBS. The remaining viewership was distributed among Paramount+, Nickelodeon, Univision, CBS Sports, and various NFL digital platforms, including NFL+. setting a new record for the most-watched television broadcast in history setting a new record for the most-watched television broadcast in history All Eyes on Amazon The NFL is clearly just getting warmed up. The 2024-25 season will include a game in Brazil streaming exclusively on Peacock. The September 6 game will be the first NFL game played in South America and the second game to air exclusively on Peacock. A playoff wild card game will air on Amazon Prime Video. Amazon streaming a playoff game is especially intriguing. The experience will most certainly be different than the one Peacock featured and speaks to CTV’s potential for changing how people experience live sports. For one thing, Amazon will use the game to test Amazon Ad targeting features as it did with the Black Friday game when Amazon rolled out a new strategy called audience-based creative, allowing advertisers to target different audience segments with different ads in the same time slot. Amazon will also inject commerce into the game-watching experience. Amazon already offers deals for Amazon Prime customers associated with Thursday Night Football, and Amazon really ramped up shopping deals during the 2023 Black Friday game (including limited time deals along with plenty of shoppable ads). Amazon also provides several interactive features to enhance the TV viewing experience, such as X-Ray, which gives fans real-time access to live statistics and data. A feature called the 4th Down Decision Guide offers fans the opportunity to step into the role of NFL coaches during critical moments. It poses the question: should a team attempt to advance on fourth down or opt for a punt? Using machine learning, this tool assesses the success rates of both choices and evaluates their impact on the team's chances of winning the game. These kinds of features (and a lot more) are not gimmicks -- they make watching the game more of an experience. Essentially, Amazon and the NFL are reinventing Black Friday as a hybrid shopping and entertainment experience -- enticing people to stay online and watch football on a day when they’re usually out shopping was at one time unthinkable. The game garnered an average of 9.61 million viewers who watched the Miami Dolphins crush the New York Jets on Amazon Prime Video. The ratings were lower than expected. But Amazon’s first NFL outing with Thursday Night Football underwhelmed at first, too, and now things have turned around. And as Columbia University sports management professor Joe Favorito told The Street, "If you would have said to someone nine million people on the Friday after Thanksgiving are going to watch a streamed NFL game three years ago, people [would] have been jumping up and down." Amazon’s relationship with the NFL will also challenge Netflix to deliver something more experiential especially because Amazon is already creating the state of the art in CTV live sports. I expect Netflix will share more details of its own in coming weeks. A Christmas Advertising Bonanza? A Christmas Advertising Bonanza? Christmas Day marks the NFL’s continued expansion into holiday sports viewing. The NFL averaged 28.4 million viewers across its three games on Christmas Day last season (compare that to the NBA, which averaged 2.8 million across its five games). According to the NFL, last year’s three Christmas games ranking among the top 25 most viewed TV programs of 2023 . The NFL averaged 28.4 million viewers across its three games on Christmas Day last season The NFL averaged 28.4 million viewers across its three games on Christmas Day last season last year’s three Christmas games ranking among the top 25 most viewed TV programs of 2023 last year’s three Christmas games ranking among the top 25 most viewed TV programs of 2023 Analyst Guggenheim predicts that these games will bring in approximately $185 million in direct advertising revenue . This figure is in addition to potential increases in subscriber growth, engagement, or promotional benefits. Such a boost would signify a 15.7% increase over the firm’s existing 2024 advertising forecast of $1.18 billion. $185 million in direct advertising revenue $185 million in direct advertising revenue I’ve said it before, and I’ll say it again: the day is coming when the Super Bowl will move to CTV. Which New Hollywood business will win that prize? NFL photo by Photo by Adrian Curiel on Unsplash. Netflix photo by Alexander Shatov on Unsplash. NFL photo by Photo by Adrian Curiel on Unsplash. Netflix photo by Alexander Shatov on Unsplash.

Goodbye, Linear TV: Netflix to Stream NFL Christmas Games in 2024

বিদায়, লিনিয়ার টিভি: 2024 সালে এনএফএল ক্রিসমাস গেমস স্ট্রিম করবে Netflix

Auf Wiedersehen, lineares Fernsehen: Netflix überträgt NFL-Weihnachtsspiele im Jahr 2024

Adiós, Linear TV: Netflix transmitirá los juegos navideños de la NFL en 2024

Au revoir, télévision linéaire : Netflix diffusera les matchs de Noël de la NFL en 2024

अलविदा, लीनियर टीवी: नेटफ्लिक्स 2024 में एनएफएल क्रिसमस गेम्स स्ट्रीम करेगा

さようなら、リニアテレビ：Netflix が 2024 年に NFL クリスマス ゲームをストリーミング配信

안녕, Linear TV: Netflix, 2024년에 NFL 크리스마스 게임 스트리밍 예정

Adeus, Linear TV: Netflix transmitirá jogos de Natal da NFL em 2024

Прощай, линейное телевидение: Netflix будет транслировать рождественские игры НФЛ в 2024 году

Elveda Linear TV: Netflix, 2024'te NFL Noel Oyunlarını Yayınlayacak

Tạm biệt, Truyền hình tuyến tính: Netflix sẽ phát trực tuyến các trò chơi Giáng sinh của NFL vào năm 2024

再见，线性电视：Netflix 将于 2024 年播放 NFL 圣诞比赛

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If you had to pick a key determinant for your satisfaction on a web page, speed would undoubtedly be in the top two of all your arguments. You’re not alone either, more than half of web users worldwide require a website’s load time to be under three seconds or they lose interest. Beyond load times, a page’s responsiveness also contributes to the perception of speed for users. However, due to server round trip times, network glitches, and sometimes the processing power of the machine, response times can be wonky. But nobody wants to listen to technical jargon, they just need their technology to work. To fix this issue, front-end developers turned to optimistic updates. You know when you like an image on Instagram, and the heart appears even when your network is down? Those are optimistic updates. Typically, the User interface (UI) waits until the server confirms an action before reflecting an update, however, optimistic updates bypass that sequence. In one line, Optimistic updates is a tool used to enhance user experience by initiating UI changes without backend validation. This article looks to dive deeper into optimistic updates. How do they work? Why use them? What use cases render them ineffective? Why do we use optimistic updates? Why embrace this tool, you might ask? The advantages are persuasive. As mentioned earlier in this article, the tool updates the UI instantly, creating a smoother and more responsive user experience, eliminating delays, and keeping users engaged. It also takes away the wait time for server confirmation making it possible for faster interaction, and improving the user's satisfaction. Optimistic updates can be applied in various functions like common actions; liking a post, updating a profile picture, or adding an item to a cart. Further, offline editing allows users to make changes without access to the internet, and later sync when they're back online. An example of this is Google Docs. How optimistic updates work Once an action is implemented, the tool identifies it and triggers an update. Next, it updates the local state, modifying the local UI structure as if the change were successful. A request is sent to the server to communicate the desired change, which in turn sends back a response of either Success or Failure. User initiates action (clicks like) -> UI updates immediately (instantly reflects 1Like) -> Server communication (request is sent to the server notifying it of the action) -> Server response (server processes the request and sends a response, success or failure). If it's successful then the optimistic update is validated, if it's a failure then the optimistic update is reverted (the like indicator is removed.). Learn more here When not to use optimistic updates While Optimistic Update is a good tool, it's only ideal for frequent, low-risk action where the server validation is simple and quick. Optimistic updates require careful implementation. It's not to be used in transactions where failed updates could have significant backfires (e.g. financial transactions). Avoid using them when maintaining strict data integrity across multiple users. Optimistic updates are valuable tools in a developer toolkit. By understanding their functions and importance, you have an advantage in using them to create responsive user experiences that leave your users satisfied. If you had to pick a key determinant for your satisfaction on a web page, speed would undoubtedly be in the top two of all your arguments. You’re not alone either, more than half of web users worldwide require a website’s load time to be under three seconds or they lose interest. Beyond load times, a page’s responsiveness also contributes to the perception of speed for users. However, due to server round trip times, network glitches, and sometimes the processing power of the machine, response times can be wonky. But nobody wants to listen to technical jargon, they just need their technology to work. To fix this issue, front-end developers turned to optimistic updates. You know when you like an image on Instagram, and the heart appears even when your network is down? Those are optimistic updates. Typically, the User interface (UI) waits until the server confirms an action before reflecting an update, however, optimistic updates bypass that sequence. front-end developers User interface In one line, Optimistic updates is a tool used to enhance user experience by initiating UI changes without backend validation. This article looks to dive deeper into optimistic updates. How do they work? Why use them? What use cases render them ineffective? Why do we use optimistic updates? Why embrace this tool, you might ask? The advantages are persuasive. As mentioned earlier in this article, the tool updates the UI instantly, creating a smoother and more responsive user experience, eliminating delays, and keeping users engaged. It also takes away the wait time for server confirmation making it possible for faster interaction, and improving the user's satisfaction. Optimistic updates can be applied in various functions like common actions; liking a post, updating a profile picture, or adding an item to a cart. Further, offline editing allows users to make changes without access to the internet, and later sync when they're back online. An example of this is Google Docs. How optimistic updates work Once an action is implemented, the tool identifies it and triggers an update. Next, it updates the local state, modifying the local UI structure as if the change were successful. A request is sent to the server to communicate the desired change, which in turn sends back a response of either Success or Failure. User initiates action (clicks like) -> UI updates immediately (instantly reflects 1Like) -> Server communication (request is sent to the server notifying it of the action) -> Server response (server processes the request and sends a response, success or failure). If it's successful then the optimistic update is validated, if it's a failure then the optimistic update is reverted (the like indicator is removed.). Learn more here here When not to use optimistic updates While Optimistic Update is a good tool, it's only ideal for frequent, low-risk action where the server validation is simple and quick. Optimistic updates require careful implementation. It's not to be used in transactions where failed updates could have significant backfires (e.g. financial transactions). Avoid using them when maintaining strict data integrity across multiple users. Optimistic updates are valuable tools in a developer toolkit. By understanding their functions and importance, you have an advantage in using them to create responsive user experiences that leave your users satisfied.

Optimistic Updates in Frontend Applications

Every tech company in the world has a software development team, and right now, 70% of them are considering how to use AI tools in the development process itself. Should they integrate AI co-pilots, outsource parts of the work to code generators, or develop bespoke tools in-house? One of the key determinants in this process is, simply - whether the tool is leading to positive results. For this, you need to run a proof of concept, while measuring team performance over time. The problem is that the old technologies developers use to track performance are 2D in their insights. New technologies are revolutionizing how engineers assess their team’s success. The old guard of performance trackers are known as management systems or engineering management platforms (EMPs) - think Jira or Azure DevOps Boards. But a new iteration is emerging with one crucial additional layer: intelligence. Software Engineering Intelligence Platforms (SEIPs) are like EMPs with an added element of intelligent data gathering and analysis. They track performance not just based on task completion. Instead, they leverage multiple data sources, create unique metrics using aggregated data, carry out complex analyses, and have predictive capabilities. It is these 3D platforms that are most suited to closely measuring the success or failure of AI adoption in teams at the forefront of technological advancements. This is how SEIPs work. 1. Layered Data Points - The What EMPs are limited in their insights because of the narrow data they focus on: essentially, they can tell you about the status of a task, and the time it took to complete it. As well as these basic engineering metrics, SEIPs integrate several other layers of data. They capture all the engineers’ work across platforms: what’s happening on Jira, their activity on GitHub, what’s being recorded on DevOps tools such as Jenkins, and more. SEIPs then translate these signals into metrics to give an otherwise impossible level of insight into what’s happening within your team. If you were to assess the success of an AI product by just looking at the rate of task completion, you might reach a skewed conclusion. For example, more tasks may have been completed within the time frame. But by connecting the SEIP to other tools like Jenkins or GitHub, you may find that your Change Failure Rate (CFR) - code changes that lead to failed deployments - has simultaneously increased, creating a new vulnerability. Furthermore, unlike EMPs, SEIPs will integrate contextual data that helps to understand the value of people’s work, such as project costs and engineer salaries. That allows managers to measure the ROI and business outcomes of a specific tool you’re experimenting with. 2. Measuring the Invisible - The Where Without a SEIP, measuring the *impact *of AI deployment is extremely hard, as all you have is a black box. Today, most engineering teams’ performance is measured in ticket completion: such as how many tickets were completed in a sprint. But the productivity of AI tools can’t just be measured in tickets completed - it’s more nuanced than EMPs allow for. With SEIPs, you can quantify more than whether a team was able to complete a task, and with what speed. They can also measure the impact and quality of work, or the less “visible” elements of an engineer’s work. SEIPs look at metrics such as DORA Metrics, Cycle Time, and how much-unplanned work is being generated. This can show if work is improving, if more code is being deployed than before, and if it includes fewer failures. SEIPs can also shed light on correlations between metrics that EMPs can’t. SEIPs can also measure developer experience (DX) - an often overlooked but critical metric relating to developer well-being. This can be done by looking at specific metrics, such as deployment frequency - if this grows, it could suggest increased enthusiasm and engagement within the team. 3. Analytical Metrics - The Why EMPs can tell you that a task was completed in 5 days, rather than the benchmark of 2 days, but they can’t show you why velocity slowed down. SEIPs allow managers to zoom in on the ‘why’ metrics or causal factors: were there any bottlenecks? Did certain internal events over the past week slow down operations across the board? For example, a slowed-down sprint time after AI integration might not be due to an engineering team working more slowly, but because the code review time is way longer than the benchmark. Perhaps, the slower sprint time was due to the code reviewer being overwhelmed by the amount of new code because the AI tool increased developer output so much that they couldn’t keep up. That tells you both that the AI was successful in part and that changes are needed internally (you need more code reviewers) to make full adoption efficient. SEIPs have another important advantage - they can provide recommendations on how to improve the situation based on that same granular data. So if your AI deployment is being hindered by a specific bottleneck, the SEIP could provide recommendations to remove it and take fuller advantage of the AI tool’s benefits. 4. Internal Benchmarks - The Who It doesn’t always make sense to only compare your engineers’ work to benchmarks that are the industry standard - which is something that often occurs with EMPs. If you’re assessing the effectiveness of a new AI tool you need to make sure it’s making your team better than they were before the deployment. SEIPs gather historical data from your team in order to create internal benchmarks of what constitutes a satisfactory commit count or cycle time. It does this by reviewing previous performance and identifying in what circumstances the team performs best - all of which can provide better conditions for predicting the AI deployment’s real impact. Your AI deployment could have its greatest potential in specific areas where you’re already meeting industry benchmarks. But if you’re already hitting the industry average, you may not focus on tracking impact in that area. A SEIP could show you how the AI is making that process 200 or 300% more efficient. 5. Predictive Capabilities - The When If you want to go one step further, SEIPs also offer predictive features that can greatly speed up the proof of concept process. During a sprint, by collecting a series of metrics and comparing them to past performance and results, a SEIP can predict whether you will be able to complete the sprint by the given deadline. An EMP will tell you you’re late only after you’re already late. The benefit here for testing out new products is that it can give you far quicker insights into your experimentations. It could allow you to test multiple AI tools at once, or to cycle more quickly between AI tools to find the most effective one in a reduced amount of time. Most tech companies are moving towards adopting AI, but the current software they’re using to monitor performance simply isn’t inquisitive enough to give managers a real view of what’s working and what’s not. A new generation of SEIPs will help bridge that knowledge gap. Every tech company in the world has a software development team, and right now, 70% of them are considering how to use AI tools in the development process itself. Should they integrate AI co-pilots, outsource parts of the work to code generators, or develop bespoke tools in-house? 70% of them One of the key determinants in this process is, simply - whether the tool is leading to positive results. For this, you need to run a proof of concept, while measuring team performance over time. The problem is that the old technologies developers use to track performance are 2D in their insights. New technologies are revolutionizing how engineers assess their team’s success. The old guard of performance trackers are known as management systems or engineering management platforms (EMPs) - think Jira or Azure DevOps Boards. But a new iteration is emerging with one crucial additional layer: intelligence . intelligence Software Engineering Intelligence Platforms (SEIPs) are like EMPs with an added element of intelligent data gathering and analysis. They track performance not just based on task completion. Instead, they leverage multiple data sources, create unique metrics using aggregated data, carry out complex analyses, and have predictive capabilities. Software Engineering Intelligence Platforms (SEIPs) It is these 3D platforms that are most suited to closely measuring the success or failure of AI adoption in teams at the forefront of technological advancements. This is how SEIPs work. 1. Layered Data Points - The What 1. Layered Data Points - The What EMPs are limited in their insights because of the narrow data they focus on: essentially, they can tell you about the status of a task, and the time it took to complete it. As well as these basic engineering metrics, SEIPs integrate several other layers of data. They capture all the engineers’ work across platforms: what’s happening on Jira, their activity on GitHub, what’s being recorded on DevOps tools such as Jenkins, and more. SEIPs then translate these signals into metrics to give an otherwise impossible level of insight into what’s happening within your team. If you were to assess the success of an AI product by just looking at the rate of task completion, you might reach a skewed conclusion. For example, more tasks may have been completed within the time frame. But by connecting the SEIP to other tools like Jenkins or GitHub, you may find that your Change Failure Rate (CFR) - code changes that lead to failed deployments - has simultaneously increased, creating a new vulnerability. Furthermore, unlike EMPs, SEIPs will integrate contextual data that helps to understand the value of people’s work, such as project costs and engineer salaries. That allows managers to measure the ROI and business outcomes of a specific tool you’re experimenting with. 2. Measuring the Invisible - The Where 2. Measuring the Invisible - The Where Without a SEIP, measuring the *impact *of AI deployment is extremely hard, as all you have is a black box. Today, most engineering teams’ performance is measured in ticket completion: such as how many tickets were completed in a sprint. But the productivity of AI tools can’t just be measured in tickets completed - it’s more nuanced than EMPs allow for. With SEIPs, you can quantify more than whether a team was able to complete a task, and with what speed. They can also measure the impact and quality of work, or the less “visible” elements of an engineer’s work. SEIPs look at metrics such as DORA Metrics, Cycle Time, and how much-unplanned work is being generated. This can show if work is improving, if more code is being deployed than before, and if it includes fewer failures. SEIPs can also shed light on correlations between metrics that EMPs can’t. SEIPs can also measure developer experience (DX) - an often overlooked but critical metric relating to developer well-being. This can be done by looking at specific metrics, such as deployment frequency - if this grows, it could suggest increased enthusiasm and engagement within the team. 3. Analytical Metrics - The Why 3. Analytical Metrics - The Why EMPs can tell you that a task was completed in 5 days, rather than the benchmark of 2 days, but they can’t show you why velocity slowed down. why SEIPs allow managers to zoom in on the ‘why’ metrics or causal factors: were there any bottlenecks? Did certain internal events over the past week slow down operations across the board? For example, a slowed-down sprint time after AI integration might not be due to an engineering team working more slowly, but because the code review time is way longer than the benchmark. Perhaps, the slower sprint time was due to the code reviewer being overwhelmed by the amount of new code because the AI tool increased developer output so much that they couldn’t keep up. That tells you both that the AI was successful in part and that changes are needed internally (you need more code reviewers) to make full adoption efficient. SEIPs have another important advantage - they can provide recommendations on how to improve the situation based on that same granular data. So if your AI deployment is being hindered by a specific bottleneck, the SEIP could provide recommendations to remove it and take fuller advantage of the AI tool’s benefits. 4. Internal Benchmarks - The Who 4. Internal Benchmarks - The Who It doesn’t always make sense to only compare your engineers’ work to benchmarks that are the industry standard - which is something that often occurs with EMPs. If you’re assessing the effectiveness of a new AI tool you need to make sure it’s making your team better than they were before the deployment. SEIPs gather historical data from your team in order to create internal benchmarks of what constitutes a satisfactory commit count or cycle time. It does this by reviewing previous performance and identifying in what circumstances the team performs best - all of which can provide better conditions for predicting the AI deployment’s real impact. internal Your AI deployment could have its greatest potential in specific areas where you’re already meeting industry benchmarks. But if you’re already hitting the industry average, you may not focus on tracking impact in that area. A SEIP could show you how the AI is making that process 200 or 300% more efficient. 5. Predictive Capabilities - The When 5. Predictive Capabilities - The When If you want to go one step further, SEIPs also offer predictive features that can greatly speed up the proof of concept process. During a sprint, by collecting a series of metrics and comparing them to past performance and results, a SEIP can predict whether you will be able to complete the sprint by the given deadline. An EMP will tell you you’re late only after you’re already late. The benefit here for testing out new products is that it can give you far quicker insights into your experimentations. It could allow you to test multiple AI tools at once, or to cycle more quickly between AI tools to find the most effective one in a reduced amount of time. Most tech companies are moving towards adopting AI, but the current software they’re using to monitor performance simply isn’t inquisitive enough to give managers a real view of what’s working and what’s not. A new generation of SEIPs will help bridge that knowledge gap.

What Are SEIPs? The New Way Engineering Leaders Measure Successful AI Adoption

Data Security and Its Aspect Data is a very important aspect of any system, organization, and business. It plays a crucial role in user behavior, and sentiments and drives the businesses. In day-to-day life, as we come online, we start playing with data. These data are collected from various means like social media, cookies, user profiles, user login, browsing, etc. It is imperative for any system to critically deal with any kind of data. If compromised, it brings harm to users, and organizations and, in turn, leads to loss of money, time, and trust. It is of the utmost importance for any system to deal with data in a very careful way. Usually, when we design a system, security is the last thing considered. In this article, I would like to discuss various different classifications of data and its handling. Before we deal with handling the data, we should understand its classification and accordingly design our system. Data Classification Data can be categorized into various types based on sensitivity; it is classified into high, medium, and low. A high sensitive data is highly confidential and restricted like financial data. Medium sensitive data is sensitive data but does not contain any confidential information like emails without any confidentiality. A low sensitive data is publicly available data like website data and social media posts and is unrestricted. Oftentimes, data when looked at individually, can look like a medium but when combined with different data, becomes restricted or confidential like PII (Personal Identifiable Data), for e.g., an address independently is public data but when combined with user information is sensitive data. Data classification plays a crucial role in understanding the level of criticality a system is dealing with. Requirement Analysis In order to design a system better, we gather the requirements. Based on the requirements, the system is designed and developed. During the requirement phase, one should outline security requirements along with functional and non-functional requirements. Oftentimes, we focus more on functional requirements as these are the core of any system. We can derive the security requirements based on functional and non-functional requirements. Once we narrow down the functional and non-functional requirements, we can outline the type of data the system will deal with at various layers say transport layer, data layer, service layer, downstream, etc. Once all the dependent systems are identified, one will get a good idea of the type of data flow through and into the system. It is highly recommended to outline all the possible security callouts in the design phase. A few of these could be: Authentication
Authorization
Encryption at REST
Encryption at Transport
Application level encryption
Logging preservation time
Logging of non-critical data Best Practices Design Once we have outlined the security requirements, we can implement various security practices into the system. These can be: Security code reviews where the review will look from the security perspective and best practices.
Proper authentication and authorization mechanisms should be in place.
PEN testing before release and at an interval can be incorporated into best practices.
Proper alarms should be configured.
Alarms in case of any malicious or high burst/volume of data are requested.
Gating mechanism to ensure DDoS protection.
Application-level encryption using custom-managed keys.
Encryption at REST using custom-managed keys.
Key rotation at a certain interval.
Gating mechanism to ensure access to critical data is protected.
Policies at storage to ensure critical data egress for qualified consumers.
Data loss prevention mechanism in case of any compromise. System Design Once the requirements are in place, we move to high-level and low-level system design. This acts as a blueprint for the system and acts as a basis for requirement conversion. One should carefully look into various aspects of the system and use proper infrastructure to ensure security. In case the system is currently not dealing with any critical data, but in the future, due to some changes, the system starts to interact with critical data, the documents should be updated as such and re-reviewed to ensure all security practices are followed to uphold the high security and avoid any incidents. Data Security and Its Aspect Data is a very important aspect of any system, organization, and business. It plays a crucial role in user behavior, and sentiments and drives the businesses. In day-to-day life, as we come online, we start playing with data. These data are collected from various means like social media, cookies, user profiles, user login, browsing, etc. It is imperative for any system to critically deal with any kind of data. If compromised, it brings harm to users, and organizations and, in turn, leads to loss of money, time, and trust. It is of the utmost importance for any system to deal with data in a very careful way. Usually, when we design a system, security is the last thing considered. In this article, I would like to discuss various different classifications of data and its handling. Before we deal with handling the data, we should understand its classification and accordingly design our system. Data Classification Data can be categorized into various types based on sensitivity; it is classified into high, medium, and low. A high sensitive data is highly confidential and restricted like financial data. Medium sensitive data is sensitive data but does not contain any confidential information like emails without any confidentiality. A low sensitive data is publicly available data like website data and social media posts and is unrestricted. Oftentimes, data when looked at individually, can look like a medium but when combined with different data, becomes restricted or confidential like PII (Personal Identifiable Data), for e.g., an address independently is public data but when combined with user information is sensitive data. Data classification plays a crucial role in understanding the level of criticality a system is dealing with. Requirement Analysis In order to design a system better, we gather the requirements. Based on the requirements, the system is designed and developed. During the requirement phase, one should outline security requirements along with functional and non-functional requirements. Oftentimes, we focus more on functional requirements as these are the core of any system. We can derive the security requirements based on functional and non-functional requirements. Once we narrow down the functional and non-functional requirements, we can outline the type of data the system will deal with at various layers say transport layer, data layer, service layer, downstream, etc. Once all the dependent systems are identified, one will get a good idea of the type of data flow through and into the system. It is highly recommended to outline all the possible security callouts in the design phase. A few of these could be: Authentication Authorization Encryption at REST Encryption at Transport Application level encryption Logging preservation time Logging of non-critical data Authentication Authorization Encryption at REST Encryption at Transport Application level encryption Logging preservation time Logging of non-critical data Best Practices Design Once we have outlined the security requirements, we can implement various security practices into the system. These can be: Security code reviews where the review will look from the security perspective and best practices. Proper authentication and authorization mechanisms should be in place. PEN testing before release and at an interval can be incorporated into best practices. Proper alarms should be configured. Alarms in case of any malicious or high burst/volume of data are requested. Gating mechanism to ensure DDoS protection. Application-level encryption using custom-managed keys. Encryption at REST using custom-managed keys. Key rotation at a certain interval. Gating mechanism to ensure access to critical data is protected. Policies at storage to ensure critical data egress for qualified consumers. Data loss prevention mechanism in case of any compromise. Security code reviews where the review will look from the security perspective and best practices. Proper authentication and authorization mechanisms should be in place. PEN testing before release and at an interval can be incorporated into best practices. Proper alarms should be configured. Alarms in case of any malicious or high burst/volume of data are requested. Gating mechanism to ensure DDoS protection. Application-level encryption using custom-managed keys. Encryption at REST using custom-managed keys. Key rotation at a certain interval. Gating mechanism to ensure access to critical data is protected. Policies at storage to ensure critical data egress for qualified consumers. Data loss prevention mechanism in case of any compromise. System Design Once the requirements are in place, we move to high-level and low-level system design. This acts as a blueprint for the system and acts as a basis for requirement conversion. One should carefully look into various aspects of the system and use proper infrastructure to ensure security. In case the system is currently not dealing with any critical data, but in the future, due to some changes, the system starts to interact with critical data, the documents should be updated as such and re-reviewed to ensure all security practices are followed to uphold the high security and avoid any incidents.

Designing For Security: What You Need to Know

Mission-critical applications require . The goal of high availability is to provide users with consistent access to services or resources, minimizing the chances of interruption. is a specific mechanism used to achieve high availability. It involves automatically detecting the failure of a system component (like a server, network, or database) and immediately switching operations to a standby component without human intervention. This increases resiliency. high availability Automatic failover MariaDB MaxScale is a database proxy that includes features for high availability. In this article, I'll show you how you can try it out with an application implemented in Java and Svelte. online store simulator Architecture The following diagram shows the architecture of the demo application: A web application developed with JavaScript and the Svelte framework makes HTTP requests to a Java backend. The backend answers with that the frontend uses to update the user interface on the browser. server-sent events The backend is implemented with and connects to a database cluster using (reactive). The backend logic is, in short, a simulation of reads and writes to an online store database. The simulation is parameterized, and the user can adjust: Spring Boot MariaDB R2DBC How many reads to the database per minute. Product visits per minute: How many writes to the database per minute. Orders per minute: Write amplification. Products per order: How many seconds until a request to the database is considered failed. Timeout in milliseconds: The database cluster is front-ended by a called MaxScale. This proxy makes the cluster look like a single logical database to the Java backend. MaxScale also performs read/write splitting (sending writes to the primary MariaDB server and reads to replicas), as well as load-balancing of reads among replica servers using a configurable algorithm. Data is automatically replicated from the primary to the replica database servers. database proxy Building the Docker images from source I have prepared custom Docker images for every component in the simulator. You can either build the images from the source (optional) or use the already built and published images from Docker Hub. If you decide to build the images yourself, you can find the source code on GitHub: Custom images for easy deployment of replicated MariaDB topologies with MaxScale. These images are suitable only for demo applications. Use the for production deployments. : MariaDB deployments DO NOT USE THESE IN PRODUCTION! official MariaDB Docker images The backend application that connects to the database cluster. : Backend application The frontend application that makes simulation configuration requests to the backend and receives events to show the simulation result. : Frontend application Each repository has Dockerfiles that you can use to build your own Docker images. For example, to build the backend application image, run: docker build --tag alejandrodu/online-store-simulator-java-backend . Running the simulation All the services can be started using the following Docker Compose file ( ): docker-compose.yml version: "3.9"
services:
  server-1:
    container_name: server-1
    image: alejandrodu/mariadb
    ports:
      - "3306:3306"
    environment:
      - MARIADB_CREATE_DATABASE=demo
      - MARIADB_CREATE_USER=user:Password123!
      - MARIADB_CREATE_REPLICATION_USER=replication_user:ReplicationPassword123!
      - MARIADB_CREATE_MAXSCALE_USER=maxscale_user:MaxScalePassword123!

  server-2:
    container_name: server-2
    image: alejandrodu/mariadb
    ports:
      - "3307:3306"
    environment:
      - MARIADB_REPLICATE_FROM=replication_user:ReplicationPassword123!@server-1:3306

  server-3:
    container_name: server-3
    image: alejandrodu/mariadb
    ports:
      - "3308:3306"
    environment:
      - MARIADB_REPLICATE_FROM=replication_user:ReplicationPassword123!@server-1:3306

  maxscale:
    container_name: maxscale
    image: alejandrodu/mariadb-maxscale
    command: --admin_host 0.0.0.0 --admin_secure_gui false
    ports:
      - "4000:4000"
      - "8989:8989"
      - "27017:27017"
    environment:
      - MAXSCALE_USER=maxscale_user:MaxScalePassword123!
      - MARIADB_HOST_1=server-1 3306
      - MARIADB_HOST_2=server-2 3306
      - MARIADB_HOST_3=server-3 3306
    healthcheck:
      test: ["CMD", "maxctrl", "list", "servers"]
      interval: 5s
      timeout: 10s
      retries: 5

  java-backend:
    container_name: java-backend
    image: alejandrodu/online-store-simulator-java-backend
    ports:
      - "8080:8080"
    environment:
    - spring.r2dbc.url=r2dbc:mariadb://maxscale:4000/demo
    - spring.r2dbc.username=user
    - spring.r2dbc.password=Password123!
    - spring.liquibase.url=jdbc:mariadb://maxscale:4000/demo
    - spring.liquibase.user=user
    - spring.liquibase.password=Password123!
    depends_on:
      maxscale:
        condition: service_healthy

  svelte-frontend:
    container_name: svelte-fronted
    image: alejandrodu/online-store-simulator-svelte-frontend
    ports:
      - "5173:80"
    environment:
      - BACKEND_URL=http://java-backend:8080 Move to the directory in which the Docker Compose file is, and start the services in detached mode as follows: docker compose up -d Configuring MaxScale Before you start the simulation, configure MaxScale for transaction replay. Also, timeouts should be adjusted to make the simulation more interesting. Navigate to and log into the UI using: http://localhost:8989/ Username: admin Password: mariadb You'll see a dashboard with the MariaDB cluster state. There's a primary server ( ), and two replicas ( and ). Replication is already configured from (primary) to and (replicas). All servers should be up and running. server-1 server-2 server-3 server-1 server-2 server-3 Click on and then on the icon to enable parameter editing. Set the following parameters: mdb_monitor pencil ( ): This enables automatic failover. When a MariaDB server is down, MaxScale selects a replica server and reconfigures it as the new primary so that writes can continue to happen. auto_failover true ( ): This enables the automatic rejoin of recovered servers. When a failed server is up again, MaxScale detects it and configures it as an available replica server. auto_rejoin true ( ): Sets the number of monitor (a component in MaxScale that checks server status) iterations required for a server to be down in order to activate the failover process. We set a value of to make sure the failover starts immediately after failure. failcount 1 1 ( ): Connection timeout for monitor connections. We set a low value (one second) to quickly activate failover for this demo. backend_connect_timeout 1000 ( ): Read timeout for monitor connections. backend_read_timeout 1000 ( ): Write timeout for monitor connections. backend_write_timeout 1000 ( ): Primary failure timeout. master_failure_timeout 1000 ( ): How often the servers are monitored. monitor_interval 1000 ⚠️ These values are appropriate for this demo but very likely not the best for production environments! WARNING: Once the parameters are set, click on and . Done Editing Confirm You also need to enable transaction replay, which automatically re-executes failed in-flight transactions on servers that went down just after a SQL statement was routed. This is a useful feature for software developers since it prevents the need for coding failure cases and transaction retry. On the main menu, click on and then on any of the links in the list of servers. Edit the parameters as follows: Dashboard query_router_service ( ): Activates automatic retry of failed transactions. transaction_replay true ( ): Same as the previous when a deadlock occurs. transaction_replay_retry_on_deadlock true ( ): Same as the previous when a checksum mismatch occurs. transaction_replay_retry_on_mismatch true Once the parameters are set, click on and . Done Editing Confirm Starting the simulation With everything configured, you can start the simulation. Navigate to and configure the following parameters (names are, I hope, self-explanatory): http://localhost:5173/ Product visits per minute: 6000 Orders per minute: 60 Timeout in milliseconds: 8000 But before you start the simulation, you need to create the products for the online store. Click on | . Leave the default values and click on . You should see the UI updating as products are created in the database. Data Create products... Create Now, you can finally click on and see the simulation in action. Start Simulating a server failure At this point, the primary server is handling writes (orders). What happens if you stop that server? In the command line run: docker stop server-1 Depending on multiple factors, you might get some "disappointed visitors" or even a few "missed opportunities" in the simulator. Or maybe you don't get any at all! Product visits (reads) and orders (writes) continue to happen, thanks to MaxScale. Without automatic failover, you have to reconfigure everything manually, which results in more offline time, many disappointed visitors, and missed opportunities! Start the failed server: docker start server-1 Go to the MaxScale ( ) and check that is now a functioning replica. Dashboard http://localhost:8989/ server-1 You can perform a manual to make the primary server again. Click on and then mouse hover over the section. Click on the icon and select . Click and check again in the that the new primary server is . switchover server-1 mdb_monitor MASTER pencil server-1 Swap Dashboard server-1 Conclusion Automatic failover is only one of the components in highly available systems. You can use a database proxy like MaxScale to set up automatic failover, as well as other components such as load-balancing, query routing, transaction retry, topology isolation, and more. Check out the documentation at . https://mariadb.com/kb/en/maxscale/ Also published . here

Achieving High Availability with MariaDB MaxScale

I blogged about in the past, but I skipped an important method that's worthy of a post of its own: peek. This blog post delves into the practicalities of using to debug Java streams, complete with samples and common pitfalls. Java Stream debugging peek() code Understanding Java Streams Java Streams represent a significant shift in how Java developers work with collections and data processing, introducing a functional approach to handling sequences of elements. Streams facilitate declarative processing of collections, enabling operations such as filter, map, reduce, and more in a fluent style. This not only makes the code more readable but also more concise compared to traditional iterative approaches. A Simple Stream Example To illustrate, consider the task of filtering a list of names to only include those that start with the letter "J" and then transform each name into uppercase. Using the traditional approach, this might involve a loop and some if statements. However, with streams, this can be accomplished in a few lines: List<String> names = Arrays.asList("John", "Jacob", "Edward", "Emily");
// Convert list to stream
List<String> filteredNames = names.stream()       
                  // Filter names that start with "J"
                  .filter(name -> name.startsWith("J"))  
                  // Convert each name to uppercase
                  .map(String::toUpperCase)              
                  // Collect results into a new list
                  .collect(Collectors.toList());         
System.out.println(filteredNames); Output: [JOHN, JACOB] This example demonstrates the power of Java streams: by chaining operations together, we can achieve complex data transformations and filtering with minimal, readable code. It showcases the declarative nature of streams, where we describe what we want to achieve rather than detailing the steps to get there. What is the Method? peek() At its core, is a method provided by the interface, allowing developers a glance into the elements of a stream without disrupting the flow of its operations. The signature of is as follows: peek() Stream peek() Stream<T> peek(Consumer<? super T> action) It accepts a functional interface, which means it performs an action on each element of the stream without altering them. The most common use case for is logging the elements of a stream to understand the state of data at various points in the stream pipeline. To understand peek, let’s look at a sample similar to the previous one: Consumer peek() List<String> collected = Stream.of("apple", "banana", "cherry")
                               .filter(s -> s.startsWith("a"))
                               .collect(Collectors.toList());
System.out.println(collected); This code filters a list of strings, keeping only the ones that start with "a.” While it's straightforward, understanding what happens during the filter operation is not visible. Debugging with peek() Now, let's incorporate to gain visibility into the stream: peek() List<String> collected = Stream.of("apple", "banana", "cherry")
                               .peek(System.out::println) // Logs all elements
                               .filter(s -> s.startsWith("a"))
                               .peek(System.out::println) // Logs filtered elements
                               .collect(Collectors.toList());
System.out.println(collected); By adding both before and after the operation, we can see which elements are processed and how the filter impacts the stream. This visibility is invaluable for debugging, especially when the logic within the stream operations becomes complex. peek() filter We can't step over stream operations with the debugger, but provides a glance into the code that is normally obscured from us. peek() Uncovering Common Bugs with peek() Filtering Issues Consider a scenario where a filter condition is not working as expected: List<String> collected = Stream.of("apple", "banana", "cherry", "Avocado")
                               .filter(s -> s.startsWith("a"))
                               .collect(Collectors.toList());
System.out.println(collected); Expected output might be , but let's say we also wanted "Avocado" due to a misunderstanding of the method's behavior. Since "Avocado" is spelled with an upper case "A" this code will return false: . Using , we can observe the elements that pass the filter: ["apple"] startsWith Avocado".startsWith("a") peek() List<String> debugged = Stream.of("apple", "banana", "cherry", "Avocado")
                              .peek(System.out::println)
                              .filter(s -> s.startsWith("a"))
                              .peek(System.out::println)
                              .collect(Collectors.toList());
System.out.println(debugged); Large Data Sets In scenarios involving large datasets, directly printing every element in the stream to the console for debugging can quickly become impractical. It can clutter the console and make it hard to spot the relevant information. Instead, we can use in a more sophisticated way to selectively collect and analyze data without causing side effects that could alter the behavior of the stream. peek() Consider a scenario where we're processing a large dataset of transactions, and we want to debug issues related to transactions exceeding a certain threshold: class Transaction {
    private String id;
    private double amount;

    // Constructor, getters, and setters omitted for brevity
}

List<Transaction> transactions = // Imagine a large list of transactions

// A placeholder for debugging information
List<Transaction> highValueTransactions = new ArrayList<>();

List<Transaction> processedTransactions = transactions.stream()
    // Filter transactions above a threshold
    .filter(t -> t.getAmount() > 5000) 
    .peek(t -> {
        if (t.getAmount() > 10000) {
            // Collect only high-value transactions for debugging
            highValueTransactions.add(t);
        }
     })
     .collect(Collectors.toList());

// Now, we can analyze high-value transactions separately, without overloading the console
System.out.println("High-value transactions count: " + 
       highValueTransactions.size()); In this approach, is used to inspect elements within the stream conditionally. High-value transactions that meet a specific criterion (e.g., amount > 10,000) are collected into a separate list for further analysis. This technique allows for targeted debugging without printing every element to the console, thereby avoiding performance degradation and clutter. peek() Addressing Side Effects While streams shouldn't have side effects. In fact, such side effects would break the stream debugger in IntelliJ, which I discussed in the past. It's crucial to note that while collecting data for debugging within avoids cluttering the console, it does introduce a side effect to the stream operation, which goes against the recommended use of streams. Streams are designed to be side-effect-free to ensure predictability and reliability, especially in parallel operations. peek() Therefore, while the above example demonstrates a practical use of for debugging, it's important to use such techniques judiciously. Ideally, this debugging strategy should be temporary and removed once the debugging session is completed to maintain the integrity of the stream's functional paradigm. peek() Limitations and Pitfalls While is undeniably a useful tool for debugging Java streams, it comes with its own set of limitations and pitfalls that developers should be aware of. Understanding these can help avoid common traps and ensure that is used effectively and appropriately. peek() peek() Potential for Misuse in Production Code One of the primary risks associated with is its potential for misuse in production code. Because is intended for debugging purposes, using it to alter state or perform operations that affect the outcome of the stream can lead to unpredictable behavior. This is especially true in parallel stream operations, where the order of element processing is not guaranteed. Misusing in such contexts can introduce hard-to-find bugs and undermine the declarative nature of stream processing. peek() peek() peek() Performance Overhead Another consideration is the performance impact of using . While it might seem innocuous, can introduce a significant overhead, particularly in large or complex streams. This is because every action within is executed for each element in the stream, potentially slowing down the entire pipeline. When used excessively or with complex operations, can degrade performance, making it crucial to use this method judiciously and remove any calls from production code after debugging is complete. peek() peek() peek() peek() peek() Side Effects and Functional Purity As highlighted in the enhanced debugging example, can be used to collect data for debugging purposes, but this introduces side effects to what should ideally be a side-effect-free operation. The functional programming paradigm, which streams are a part of, emphasizes purity and immutability. Operations should not alter state outside their scope. By using to modify external state (even for debugging), you're temporarily stepping away from these principles. While this can be acceptable for short-term debugging, it's important to ensure that such uses of do not find their way into production code, as they can compromise the predictability and reliability of your application. peek() peek() peek() The Right Tool for the Job Finally, it's essential to recognize that is not always the right tool for every debugging scenario. In some cases, other techniques, such as logging within the operations themselves, using breakpoints and inspecting variables in an IDE, or writing unit tests to assert the behavior of stream operations, might be more appropriate and effective. Developers should consider as one tool in a broader debugging toolkit, employing it when it makes sense and opting for other strategies when they offer a clearer or more efficient path to identifying and resolving issues. peek() peek() Navigating the Pitfalls To navigate these pitfalls effectively: Reserve strictly for temporary debugging purposes. If you have a linter as part of your CI tools it might make sense to add a rule that blocks code from invoking . peek() peek() Always remove calls from your code before committing it to your codebase, especially for production deployments. peek() Be mindful of performance implications and the potential introduction of side effects. Consider alternative debugging techniques that might be more suited to your specific needs or the particular issue you're investigating. By understanding and respecting these limitations and pitfalls, developers can leverage to enhance their debugging practices without falling into common traps or inadvertently introducing problems into their codebases. peek() Final Thoughts The method offers a simple yet effective way to gain insights into Java stream operations, making it a valuable tool for debugging complex stream pipelines. By understanding how to use effectively, developers can avoid common pitfalls and ensure their stream operations perform as intended. As with any powerful tool, the key is to use it wisely and in moderation. peek() peek() The true value of is in debugging massive data sets, these elements are very hard to analyze even with dedicated tools. By using we can dig into said data set and understand the source of the issue programmatically. peek() peek() Also published . here

Debugging Java Streams With The Peek Method

Electric vehicle (EV) adoption globally has rapidly accelerated over the last few years. In this exploration, I dig into the data behind that growth, across various geographies and timeframes. in this research piece we use , a company for whom I am employed. Any time you see references to cells in code it’s because you can reference the entries in those cells in code. The full sheet upon which this analysis was built can be found in case you want to keep up with the code and visualizations alongside the article. Note/affiliated disclosure before we dive in: Quadratic here is roughly 9,500 rows with various regions and parameters, from 2010 to 2022 (updated annually). We'll chiefly explore sales growth of electric vehicles only (ignoring hybrids) through 2022 and the growth of charging infrastructure networks. The dataset (MIT license) Sales growth over time We start by getting the data from our spreadsheet into our Pandas DataFrame. From there, we filter our dataset for the powertrains we care about (fully electric, aka BEV) and directly use our spreadsheet to input the country we want to filter by in . The dataset also includes some projections, but in this analysis, we only care about historically recorded values, so we filter out the projections and keep historical entries. Python # get data from the spreadsheet into our DataFrame 
df = cells((0,0),(7,9542), 'EV Raw Data', first_row_header=True)

# if region cell is empty don't try to filter
if cell(2,2) != '':
    df = df.loc[df['region'] == cell(2,2)]

# filter by selected parameter 
df = df.loc[df['parameter'] == cell(2,1)]
# make this a historical analysis with none of the projections included 
df = df.loc[df['category'] == 'Historical'] We note massive growth starting in 2020. Note a clear trend, with 230,000 EV sales in 2020 in the US, 470,000 in 2021, and a whopping 800,000 in 2022. This growth from 2021 to 2022 is a 70% increase in YoY sales. The projections from our dataset assume continued growth, expecting 2025 sales in the US to come in close to 3M EV sales. Globally, we see a similar trend. 2021 to 2022 growth is a little muted relative to the US on a % growth basis, but still tremendous at 58% growth to go from 7.3M sales up from 4.6M sales the year prior. If you find these charts’ styling attractive, these are basic Plotly line charts with minor layout changes, as shown below. # title gets edited based on the value of the spreadsheet input at cell(2,1)
fig = px.line(df, x="year", y="value", title=c(2,1) + title_description)

# make chart prettier by removing background and making the margins less aggressive
fig.update_layout(
    plot_bgcolor="White",
    margin=dict(l=30, r=30, t=50, b=50),
)

# displaying chart to the sheet 
fig.show() Percentage of vehicle sales to EVs Before digging into market share, a significant bit of context is that China and the US are the overwhelming leaders in overall vehicle sales. The International Organization of Motor Vehicle Manufacturers cites China as the overall vehicle sales leader at over 25M units per year, the US in second at over 15M, and 3rd place Japan is down at over 4M sales per year. The EV growth from our prior analysis is impressive, but to understand its scope, we must compare its market share relative to all other vehicle types (gas and hybrid). Fortunately, the dataset includes a market share data point, so we don’t need to perform this calculation manually. We note the values again for the United States and globally (“World” in our dataset). For the US, we note an 8% EV share. Interestingly, the overall EV share % globally is much higher at 14%. Naturally, it’s time we expanded beyond the US and learned which countries contribute to this 14% share. Countries with the fastest adoption Instead of burying our heads in the sand and only looking at the United States and total global sales, we can also do a simple analysis to see which countries have garnered the highest % of their sales as EVs. As we learned earlier, China and the US dominate global vehicle sales, so if the US is doing 8% of its sales to EVs. Globally, the number is closer to 14%, so it’s fair to guess China’s EV sales as a % of their market share is much higher than the US, keeping this global % much higher as the US plays catch-up. To do our ranked analysis, we use a simple filter to filter down by sales share; we leave all countries and then apply a max() calculation to get the order of the highest EV share by country. # get our data from spreadsheet into Python 
df = cells((0,0),(7,9542), 'EV Raw Data', first_row_header=True)

# filter by selected parameter of market share
df = df.loc[df['parameter'] == cell(2,1)]
# make this a historical analysis with none of the projections included 
df = df.loc[df['category'] == 'Historical']
# filter just by the latest year available 
df = df.loc[df['year'] == '2022']
# exclude buses, vans, etc and just include cars 
df = df.loc[df['mode'] == 'Cars']

# sort by highest share of market 
df = df.sort_values(by=['value'], ascending=False)

# return dataframe to sheet 
df There are lots of fascinating insights from this list. Note that large vehicle sales countries like the US and Japan are dragging down total EV sales, so China pulls the % up with their #1 vehicle sales by country plus a high % of 29% of overall sales as EVs. We also note countries in Northern Europe whose sales are trending towards EV-only. Northern Europe has regulations that give VAT exemptions to EV producers, aggressive emissions targets, and other regulations that have resulted in this rapid transition to electric vehicles in Northern Europe. Charging networks As EV adoption accelerates it’s worth exploring how charging infrastructure is adapting. For context, there are 3 core types of chargers: Standard residential 120V AC outlet (what you use to plug in every day at-home items; this charging type is very slow, commonly doing 120V @ 14amps = ~1.7kW before efficiency losses for an 80 kW EV battery. This means a minimum of 47 hours for a full charge (realistically more due to efficiency losses/the actual power delivered to the battery), which is a fine enough solution for users who have less commuting and can use public infrastructure as needed. Level 1: Installable in residential applications (electric home dryers usually use 240V) and the most common public infrastructure charging stations; level 2 at home typically is up to 48A, sometimes lower. 240V @ 48A = 11.5 kW peak, realistically delivering less power. With level 2 infrastructure, an 80 kW battery can be charged in 5–9 hours. This is the best home solution as you can get a full charge easily overnight, and for public infrastructure, it allows topping up or fully charging if using prolonged parking. This is not the solution for trips requiring faster charging between stops. Level 2: DC fast charging is a purely commercial option that can’t be installed at home. These chargers get a vehicle from empty to full in under an hour. This is the charging solution that resembles topping up at the pump. This kind of charging has a correspondingly higher cost for convenience. Level 3 chargers range from 50kW to 350kW; at 350kW, an 80 kW battery could be fully charged in less than 20 minutes. Level 3 (DCFC): In our dataset, when the data provider refers to slow charging, they’re referring to publicly available Level 2 infrastructure. When referring to fast charging, they refer to Level 3 infrastructure. We start by visualizing charger growth in the US and China. We note that growth in China has an extremely impressive growth curve for fast charging, while the US has seen rapid growth for slow chargers and lagging growth for fast charging. charger growth in 2022 (China vs US) Fast China fast chargers installed/EV sale in 2022: 760k/4.4M (.17) US fast chargers installed/EV sale in 2022: 28k/800k (.035) charger growth in 2022 (China vs US) Slow China slow chargers installed/EV sale in 2022: 1M/4.4M (.22) US slow chargers installed/EV sale in 2022: 100k/800k (.125) Charging experiences vary. In some scenarios, lines or fully occupied chargers may exist. In others, chargers may see very little use. Factors like proximity to significant parking, pricing, etc, have obvious impacts. On average, chargers are going unused a high percentage of the time. For charging installation to be worth the capital expenditure, installers need to be able to project a usage rate that puts them in profitability on a reasonable timeline (like any investment). Summary EV adoption has accelerated in recent years at a rapid pace. As soon as the numbers for 2023 are released we’ll likely see similar growth to prior years. Go ahead and dig into this dataset and glean your own insights; our analysis is naturally incomplete — there’s lots of fields in the dataset we ignored that would provide all sorts of interesting insights (projections, sales of vans/trucks/other interesting vehicle types, etc). To access the dataset and analysis directly: https://app.quadratichq.com/file/4251cd97-e14d-4788-baf2-9d161eb10625 Dataset: https://www.kaggle.com/datasets/padmapiyush/global-electric-vehicle-dataset-2023 Other sources: Vehicle sales: Charging info: https://www.oica.net/category/production-statistics/2022-statistics/ https://www.transportation.gov/rural/ev/toolkit/ev-basics/charging-speeds

Data-Driven Analysis of Global EV Adoption

গ্লোবাল ইভি গ্রহণের ডেটা-চালিত বিশ্লেষণ

Datengesteuerte Analyse der weltweiten Einführung von Elektrofahrzeugen

Análisis basado en datos sobre la adopción mundial de vehículos eléctricos

Analyse basée sur les données de l'adoption mondiale des véhicules électriques

वैश्विक ईवी अपनाने का डेटा-संचालित विश्लेषण

世界のEV導入に関するデータ主導型分析

글로벌 EV 채택에 대한 데이터 기반 분석

Análise baseada em dados da adoção global de VE

Анализ глобального внедрения электромобилей на основе данных

Küresel Elektrikli Araç Benimsenmesinin Veriye Dayalı Analizi

Phân tích dựa trên dữ liệu về việc áp dụng EV toàn cầu

全球电动汽车采用情况的数据驱动分析

Roku has been one of the most impressive stocks of 2023, but has it finally become too bloated for its own good on Wall Street? It’s difficult to overlook Roku’s (NASDAQ: ROKU) performance in recent months. Despite a post-pandemic decline in share value, the stock has still outperformed the market , generating an average annual return of 22.13% in the process. by 8.64% over the past five years At a market capitalization just shy of $13 billion at the time of writing, Roku is a streaming service that has room to grow. Although Roku , the stock still sits more than 80% adrift from its July 2021 peak share price. grew 105.36% in 2023 This places the stock in tricky territory for investors who may be torn between Roku’s former glories and its recent rally. Wall Street The challenge of pricing Roku stock has been made more difficult by the company’s Q3 earnings in 2023, which highlighted substantial net losses that far exceeded the year prior but also year-over-year. featured a 20% increase in revenue Such a seismic increase in revenue is down to Roku’s introduction of branded TVs and positive volumes of content distribution and video advertising. Has Roku Become Overbought? While Roku’s Q3 earnings report drew cautious , analysts are becoming increasingly wary of the streaming firm’s rapid growth throughout 2023, indicating that a 105% rise in value is unsustainable. optimism in the stock In December, a led by Michael Nathanson opted to downgrade Roku’s stock from ‘Neutral’ to ‘Sell’, lowering their earnings estimates for 2024 in the process but upgrading their target price to $66 from $64. team of MoffettNathanson analysts Maxim Manturov, head of investment research at Freedom Finance Europe, echoed the sentiment that Roku’s stock had become too heavy in recent months. “Roku's stock price has sharply risen in recent months, reaching a technically "overbought" zone,” Manturov explained. “The growth of Roku is slowing, and it faces intensified competition from major streaming giants like Amazon and Netflix.” December also saw Seaport Research Partners analyst David Joyce downgrade Roku to a ‘Sell’ rating with a price target of $75 per share, citing intense competition among streaming giants like Netflix and Disney+ as well as a widespread decline in media spending as a significant challenge for the stock. "We're concerned that their ad growth right now seems to be lagging that of the digital video industry,” in a recent interview with Yahoo Finance Live. said Joyce “They also rely on media and advertisements which has been delayed because of the writers and actors strike earlier this year. The rest of the digital video ad market should be growing in the 12% or 13% range, so on the margin it seems like their share is slipping." With streaming services becoming a disruptive force in the world of entertainment, analysts appear concerned about Roku’s credentials as a penetrative market presence. But could this offer a silver lining for a stock that’s enjoyed significant growth in recent months? Room for Market Growth? While it’s certainly difficult to see Roku competing directly against the likes of Netflix and Amazon, it’s worth noting that the firm’s streaming service, the Roku Channel, recorded a surge in streaming hours of in comparison to the same period in 2022. more than 50% in Q3 2023 September saw the Roku Channel command a 3% market share of all TV streaming, which puts it in the same ballpark as the likes of Paramount+, Peacock, and Max. With this in mind, it’s worth looking at how big Roku can become. With a market capitalization of over $200 billion, Netflix is 10 times the size of Roku and serves as a reminder of just how large the video streaming market is becoming. In addition to this, Roku is a leader in its own right when it comes to user experience platforms for streaming and media services. As traditional television gives way to new technological innovations, Roku could still emerge as a leading option in steering the streaming revolution across households throughout the US. Roku is also a strong player in the world of digital advertising. Although this sector is struggling amid economic headwinds and a loss of consumer spending power, it’s likely to come back stronger than ever, with forecasts suggesting growth from a market value of $627 billion in 2023 . to $836 billion by 2026 In upholding its position as a key force in digital advertising, Roku could be in line to capture greater levels of growth during this period. Sell or Hold? One key concern surrounding Roku stock is the fact that the firm is continuing to lose money on an operating basis owing to increasing operational costs. With expenses in the last quarter, Roku could struggle significantly if weaker consumer spending continues to scare off advertisers and customers alike. growing by between 30% and 40% However, Roku was quick to acknowledge a slowdown in expense growth would be required to regain stability in 2024, and this could be an indication of a more sustainable long-term hold for investors. While there’s no getting away from the challenges ahead for Roku in a congested streaming market, there’s no reason why the stock can’t ultimately return to its 2021 peaks when skies clear and the company recaptures some momentum on the path to profitability.

Roku on the Rocks: Has the US Streaming Giant Entered ‘Overbought’ Territory?

রোকু অন দ্য রকস: ইউএস স্ট্রিমিং জায়ান্ট কি 'ওভারবট' টেরিটরিতে প্রবেশ করেছে?

Roku on the Rocks: Hat der US-Streaming-Riese das „überkaufte“ Gebiet betreten?

Roku on the Rocks: ¿Ha entrado el gigante del streaming de EE. UU. en territorio de “sobrecompra”?

Roku on the Rocks : le géant américain du streaming est-il entré en territoire de « surachat » ?

रोकू ऑन द रॉक्स: क्या यूएस स्ट्रीमिंग दिग्गज ने 'ओवरबॉट' क्षेत्र में प्रवेश किया है?

Roku on the Rocks: 米国のストリーミング大手は「買われすぎ」の領域に入ったのか?

Roku on the Rocks: 미국 스트리밍 거대 기업이 '과매수' 영역에 진입했나요?

Roku on the Rocks: O gigante do streaming dos EUA entrou no território de ‘sobrecompra’?

Roku on the Rocks: американский потоковый гигант вошел на территорию «перекупленности»?

Roku on the Rocks: ABD Yayın Devi 'Aşırı Alım' Bölgesine mi Girdi?

Roku on the Rocks: Người khổng lồ phát trực tuyến của Hoa Kỳ đã bước vào lãnh thổ 'mua quá mức'?

Roku 陷入困境：美国流媒体巨头是否已进入“超买”领域？

An introductory manual for newcomers looking to venture into cryptocurrency investment in the year 2024 PLEASE DO YOUR OWN RESEARCH BEFORE INVESTING IN ANYTHING. As we approach 2024, eager crypto enthusiasts are anticipating the upcoming BULL run in 2024-2025. I’ve composed this article to ensure you have a chance to seize the opportunity without the risk of getting trapped in the bubble. This article highlights the investment opportunity in the cryptocurrency domain and will explain: Why Crypto investments are a smart decision Market Bitcoin How to Invest in Crypto Investment Amount Selecting Assets Entry and Exit Understanding differences between Wallets and Custodians Centralized Vs Decentralised Exchanges Products that I use Final Thoughts scams Get Educated about money Summary Why Invest in Cryptocurrencies? Short Answer: In anticipation of a Bitcoin Bull Run shortly after the Halving event scheduled for April 2024. Long Answer: Market The global cryptocurrency market cap today is a whooping $1.85 Trillion, where Bitcoin ( ) and Ethereum ( ) account for nearly 49.7% and 16.1% respectively, reaching nearly $1.2 Trillion in Market Cap. BTC ETH CoinGecko boasts a registry of 12,665 coins, while CoinMarketCap records an extensive 2.2 million plus coins. With this ever-growing ecosystem of coins, investors can easily get confused and miss out on valuable, and potentially life-changing, assets. Cryptocurrencies other than Bitcoin, are generally referred to as “Altcoins”. Some popular altcoins include Ethereum, BNB, Tether, Solana, XRP, USDC, Cardano, Avalanche, Dogecoin, Chainlink, Tron, etc. Investing seems a challenging task at this point, but it’s pretty simple actually. Bitcoin is the father of Cryptocurrencies and the entire Crypto market Follows the Bitcoin Trail. If the price of Bitcoin goes 🔼, prices of Altcoins go 🔼 generally If the price of Bitcoin goes 🔽, prices of Altcoins go 🔽 generally Bitcoin (BTC) Bitcoin is the first cryptocurrency built on blockchain technology, also known as a decentralized digital currency that is based on cryptography. Unlike government-issued or generally termed fiat currency such as US Dollar or Indian Rupee (INR) which are controlled by the country’s central bank, Bitcoin can operate without the need of a central authority like a central bank or a company. This decentralized nature allows peer-to-peer (p2p) networks whereby users can send funds to each other without going through intermediaries. BTC is created as a reward to the miner who adds a block of transactions in the BTC blockchain. Currently, miners receive 6.25BTC for adding 1 block into the chain. This reward gets cut in half after every 4 years. This monetary policy is referred to as Bitcoin Halving or Halvening, an event that plays a pivotal role in maintaining the limited capped supply of the Bitcoin system at 21 million BTC. This is a Major Macro Trend in the Crypto ecosystem primarily because of Bitcoin's dominance, its immutable nature, and rigid architecture. Bitcoin’s Halving creates a supply crunch, while the demand for BTC is ever-growing as people learn more about this new technology,  the price of Bitcoin will have nowhere but to go up. Not to mention the looming Bitcoin ETF approvals in the USA, opening gates for institutional Cryptocurrency investments. After April 2024, the reward for mining Bitcoin will be reduced to 3.125 BTC per block from the current 6.25 BTC per block. Bitcoin Website: https://bitcoin.org/en/ Current circulating supply: . 19.62 million BTC Price at the time of writing: $46,947.17 How to Invest in Cryptocurrencies Trading and Investment aren’t the only ways to earn from crypto, but let’s discuss that some other time. I'll outline some fundamental considerations before starting your investment journey, but there is a wealth of additional factors to explore. Investment Amount This is a personal and financial decision, but let me simply this in 3 ways 2-10%: New To Crypto 10 - 50%: If you understand blockchain and crypto and know where you are investing 50-100%: Crypto Professional, but not advisable % is based on your total Investment Portfolio Selecting Assets Navigating the wide range of Assets to choose from it’s very difficult to study each one of them before investing, but with the new wave of social media marketing, you must do your due diligence before investing even a penny into anything. Here’s a simple formula for navigating the Crypto Market: DYOR about Blockchain and Crypto Invest in Big Market Cap Projects, mainly Bitcoin, Ethereum, and other Top10 cryptocurrencies by Market Cap Diversify your cryptocurrency portfolio with assets in the Top 100 by Market Cap Get involved in the expanding community Investing in projects where you contribute, and projects you identify can produce potential gains (short/ long term) Refer to and for deep insights on Cryptocurrency Market CoinMarketCap CoinGecko Diversify your Crypto Portfolio with Top10/ Top20 cryptocurrencies by Market Cap. Entry and Exit If you’re reading this before April 2024, you are at a golden point in time, where the crypto market is about to pump up in prices over the next 4-6 quarters. Make up your mind, decide on your strategy, and don’t let emotions play out. If you’re a beginner crypto investor, your best bet is to Dollar Cost Average (DCA) your investment. Just like a Systematic Investment Plan (SIP) in mutual funds, you can invest in your selected cryptocurrencies periodically to average out the buying cost. Crypto Index Funds are another structured option to look for, but as the space is still under rapid development, you might not find one so easily. and some other leading centralized exchanges offer such investment products. Binance Regularly monitoring your Investment is also a crucial part of the process. Occasionally we have seen projects like LUNA, FTX, etc which have lost their value in a matter of hours, entrapping investors and their capital. As Crypto lacks the guard rails of traditional financial systems, it’s up to individual investors to be smart and get regularly informed about the market and their investments. The most important aspect of Crypto Investment is “EXIT”. If you try to time the exit, it can be profitable, but chances are you’re gonna be stuck with Crypto Assets that can lose 90% of their value. was priced at around $200 in 2021, and it merely traded around $15 for most of 2023. Solana Again, it’s better to DCA your exit strategy rather than timing the top. It’s better to sell parts of your investment at a regular interval when the prices are appreciated and you’re bagging profit. You need to monitor the macro trends in the ecosystem to safeguard from high volatility. Some Metrics to watch out are: Fear and Greed Index 200 Week Moving Average Stock-to-Flow model Pi Cycle Top Indicator The Golden Ratio Multiplier To monitor the macro trends, tools like lookintoBitcoin, GlassNode, Messari, etc are quite helpful Remember to exit the market before BEAR run starts The Technology Stack Required for Crypto Investments Wallet There are plenty of crypto wallets providing a range of functionality and spectra of ownership. Not all crypto wallets let you own your assets. The majority of wallets are custodians, which owns the crypto assets on your behalf. Boom in mixed crypto wallets are on the rise, but I’ll explain 3 types of Wallets that are generally adopted: These are wallets that are connected to your email, phone, or some traditional web2 login methods. These wallets provide an easy on-ramp for users who want to buy assets from fiat currency but lack in providing ownership of assets to its users. These are centralized products and own the assets for you. Custodial Wallets: These wallets are part of blockchain systems, and lets you own your assets. Metamask and Trust Wallet are both pioneer wallets having a large user base. These wallets are created using a cryptographic Private-Public Key Pair. And a 12/24 word mnemonic phase is given to the user as a key while creating one. Hot Wallets: These are self-custody safe crypto wallets, used for holding a large number of cryptocurrencies for a very long period. These are the most secure form of wallets, providing maximum security from hacks and scams. Trezor and Ledger are pioneering projects in this sector. Cold Storage: There are smart-contract, Account Abstraction, MultiSig, and MPC wallets, but more about them in another article. There are a lot of things to consider before choosing your primary wallet, but generally, you’ll be using multiple wallets to manage your digital assets. I encourage you to use centralized products and gradually shift towards decentralized and secured products as you gain more knowledge and exposure to cryptocurrencies. Exchange Exchanges are platforms where buyers and sellers can meet to trade their assets. These are traditional Order Book Exchanges, maintained on traditional servers with a permissioned listing of crypto assets to be traded on the platform. Although these platforms bring ease in crypto financial features, BEWARE, you don’t hold your assets and most of these exchanges are not regulated by Governments, hence becomes an easy way for owners to get scammed. Centralized Exchanges: These are new and modern Automated Market Maker Exchanges, developed in the crypto ecosystem, to enable the financial markets without the need for central intermediaries. These are complex exchanges and are part of blockchain applications. Decentralized Exchanges: Although these platforms are hard to understand, they allow you to connect your crypto Wallet to trade the assets that you own. If you are new to the crypto space, start with Centralised Exchange. Choosing an exchange is the most important, as this will generally be a centralized exchange if you are coming from no crypto background. You’ll most likely be asked to do a KYC (Know Your Customer) to withdraw funds, but most exchanges are in tax-free countries and do not comply with state regulations, but there is no guarantee. Do your due diligence before selecting an exchange according to your location and preference. Products I use The World’s largest crypto exchange by trading volume, with $76 billion daily trading volume on the Binance exchange as of August 2022, and 90 million customers worldwide. Users can buy, sell, store their digital assets, as well as access to over 400 cryptocurrencies listed and thousands of trading pairs. but offers a wide range of financial applications under one roof including spot, options, futures, Bots, P2P, Copy trading, Earn, and more. Binance: Binance is a centralized exchange Crypto Asset Exchange with an established presence in India, Australia, and Singapore. Complies with the Indian government and offers only well-researched crypto assets to trade on the platform. Does not offer p2p trading, hence users need to connect their bank accounts to swap between platform money (INR) into fiat money. Zebpay: Leading Self-Custodial Wallet with a safe and simple way to access blockchain applications and web3. Pioneering decentralised crypto wallet which is a part of the blockchain network. You can buy, store, send, and swap tokens, explore blockchain apps and own your data. You can configure any EVM-compatible chain in the wallet with the same key and address, while also enabling multiple sub-accounts. Can be accessed through a browser extension, browser window, and mobile application for Android and iOS. Metamask: Some other products include Coinbase, Valora, Phantom Wallet, Trust Wallet, and Safe Wallet Final Thoughts Scams With the inception of Bitcoin in 2009, the crypto ecosystem is now 15 years old, and has grown exponentially, but still is unregulated and expects all users to be well informed by themselves rather than trusting someone, especially when it’s the case of money. Rug pulls and scams are very common in this space, and if you are not careful it can cause to total loss of your funds permanently. Cryptocurrencies are a relatively new asset class and pose a high-risk level. Where high risk comes with a high reward ratio, it also comes with a decreasing probability of success. Hence you can decrease that risk by investing with as much as information you can gather, and not just crypto but even about using fiat currency, stocks that you buy, houses you live in, or commodities you own. Learn About Money Interestingly, not a lot of people know what money is, and even less about what is the difference between money and currency. Our modern currency system is very simple but is made complex by design to keep the general public in the dark. If you wanna learn more about it, I refer you to “Hidden Secrets of Money” by Mike Maloney. A 10-episode documentary that felt no different than a drama web series to me. Our school systems do not have money in our curriculum yet our life depends on it. We spend most of our lives worrying bout it, working for it, saving it, spending it, even fighting, dying, or killing for it. It defines our social status and even compromises our morals. Learn as much as you can, and understand the race before start running. It’s not a 100-metre race, it’s a fucking Triathlon. Summary Understand the Cryptocurrency market, and learn about macro trends Bitcoin (BTC) and Ethereum (ETH) dominate the market Get started with crypto exchange and wallet products. Invest a small amount of your total investment portfolio Choose from Top10/ Top20 cryptocurrencies, including major portion for Bitcoin and Ethereum Start your systematic investment till bitcoin halving, buy the dips, DCA/ SIP Monitor your investment Create an Exit strategy Claim your profit. Enjoy your lambo! If you find this article interesting or have any questions, drop down a comment, and share this article with your family and friends. No point in being rich alone, when there’s no one to enjoy your success with!

Cryptocurrency Is Still the Investment Opportunity of the Decade

Let's learn about via these 87 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Content Creation /Learn Repo 1. Don’t Buy Cryptocurrencies (Earn them) Five easy ways to earn cryptocurrency, without spending a penny. From getting a job, to winning contests, you don't need to code to be involved in blockchain. 2. Making Money Online: Turning Content Creation into Career With the dawn of the digital revolution, came a flood of gateways to work online, and finding niches in the digital sphere. 3. Enabling Editability in Social Media On Decentralized Networks with Cherish: An Overview How crypto projects can finally combat legacy social media platforms with the help of data innovation on the blockchain. 4. Content Marketing: A Quick Guide for Beginners Creating effective content is a big challenge for many businesses. Discover how you can create an effective content marketing strategy. 5. The Step-by-step Process to Creating Effective Corporate Explainer Videos Let’s talk today about "How to Create Effective Explainer Videos". What are the types of explainer videos and how to make them for video marketing 6. The Best Content Collaboration Solutions for Content Production Comaring 9 different content collaboration tools and platforms to determine which is the best for developer blog management. 7. I Want to Stop Working for Money so I can Focus on my Personal Projects - Daniel O'keefe A brief synopsis about me and my writing creations. Thanks for tuning in! 8. Growth Marketing for Dev Tools: Everything You Need to Know Growth tactics that will help you market dev tools. 9. "AI Will Take Your Marketing Job Soon Enough": A Response AI won't take my job as a content writer. Yet, it will improve it. Wanna know how? Check out a content writer's response. 10. Is MangaDex Getting Shut Down After Being Targeted by The DMCA Subpoena? Sites offering manga comics, like MangaDex, allow users to access Manga without paying. This, of course, interferes with the business plans of Manga creators. 11. Hey, Content Creator! Here are 7 Tools You Can't Do Without Ready to boost your content creation skills to the next level? Stand out from the competition with these 7 tools for content creators! 12. Beginners can make Money from Video Content Creation- Here's How Master how to make money with videos online with this practical guide for beginners! Monetize your video creation skills and earn extra income for your business 13. 6 Surprising Blogging Secrets (in 2022) Using these 6 blogging secrets and focusing on providing value to your readers will help you become a thought leader in your industry and grow your blog. 14. 5 Ways Startups Can Grow Content to Rank Quicker One of the biggest barriers for startup founders is their ability to compete with other businesses. Because of this, ranking on the first page of Google is often an important part of the process. 15. How Venture Capital Firms are Becoming Content Marketing Companies VC Marketing: A highly competitive market, vague KPIs, and the road less traveled 16. 5 Ways AI Helps You Write Better Content Discover how artificial intelligence is assisting writers in improving the content they produce and removing much of the busywork associated with writing. 17. Top 5 AI-Enabled Content Generation Tools Be it healthcare, travel, fitness, finance, or any other industry, the advent of artificial intelligence has revolutionized almost all of them by enabling machines to act and behave like human beings. 18. Basic Online Tools You Can Use To Help Kickstart Your Blogging Gig Blogging is like a whirlwind, and it has gotten everyone caught up in it. For people all over the world, the online world has opened up avenues in terms of technology, careers, and more. 19. AI and the Future of Digital Marketing Artificial intelligence will undoubtedly have an influence on the future of digital marketing. 20. ‘Assuming the Reader’s Role Is My Biggest Challenge’: Hacker Noon’s Contributor Gautam Tata Meet Gautam - a Software Engineer at Salesforce and the co-founder of Aquanaut.ai. 21. Content is Only King When it Sells 4 Tips for creating content that sells in 2020. 22. 12-step Process I Use to Make $5,000 Monthly From Writing Here's my simple 12-step process I use to make $5,000 every month (you can have it for free). 23. How to Monetize Your Content As a Creator: Podcast Edition To monetize content such as writing, video, or audio, creators have the same options; a creator can approach businesses or consumers. In this piece, I will focus on podcast hosts. 24. Content Is King: 5 Content Creation Tips for Marketing Professionals Follow these five steps to create content for digital marketing of product and services. Spearhead your digital marketing campaigns with high quality content 25. A Human Writers Thoughts on AI Writing Bots My thoughts on artificial intelligence writing bots. 26. How To Optimize B2B Content Marketing Funnel 2020? What do you think about B2B content marketing strategy? Does your marketing strategies seem to get the desired results? Is content strategy vital? 27. Should We Have the Right to Write What We Want Even When It's Technically Incorrect? Do we have the 'right' to 'write' what we want, even if it is technically incorrect? Read about an experience I had and decide for yourself. 28. Beyond ChatGPT: How Else Are Content Marketers Using AI Today? To truly understand ChatGPT’s potential, look at the ways marketers are using AI throughout the content process already. 29. Podcast Analytics: How to Accurately Measure Content Performance The podcast industry is booming. Each week the number of Americans who listen to podcasts tops the number of those who have  Netflix accounts. 30. How to become a Brave Verified Creator A guide to obtain the Brave Verified Creator badge and start collecting BAT contributions. 31. Exploring the Impact of AI on the Future of Content Writing for Writers and Editors There is fear circulating among newbie writers about AI replacing them. Will AI replace humans or help them become more effective? Find out in this article 32. How Content Creators are Powering a Lucrative Niche in Consumer Finance Content creators are using their platforms and clout to help educate their communities on financial literacy and investment. 33. How I Feel About ChatGPT As A Content Marketer While great as an all-purpose chatbot, ChatGPT has limitations that prevent it from becoming the go-to content marketing tool for serious copywriters like me. 34. The SANDBOX Will Lead The Decentralized Storytelling Revolution Blockchain gaming and platforms like The Sandbox will open up game development to a wider audience of storytellers than ever before.  Viva La Revolution! 35. CEO Danielle Dafni on Peech, AI, Content Creation, and More On today’s episode of Startups On Demand, I am joined by Danielle Dafni, CEO, and Co-Founder of Peech 36. General Citation Rules: How to Avoid Plagiarism The topic of the correct design of the borrowed elements has recently become very much discussed. More serious attention to plagiarism and several scandals related to the dissertations of famous people have led to stricter requirements for citations in scientific works. 37. SEO for Content: How to Get Your Blog Content Found How to use SEO to make your blog content visible 38. 10 Ideas to Create a Daily Writing Habit This writing discusses ways to reduce barriers to creating a daily writing habit. 39. Expanding Your Content Skills to Get Closer to Tech So, you work on the non-technical side of the website, and you’re moving towards programming. 40. Google May Not Be Able to Crack Down on AI  Generated Words Google will fail to crack down on AI Generated content, but not for the reasons you think. In this blog post, I explored why and how I arrived at my conclusion. 41. How to Tell Your Product’s Story in Compelling Visuals: Advice for Startups on a Budget A great video can be worth a thousand words – particularly for showcasing your product. Learn how to make engaging videos for your startup on a budget! 42. The Metaverse Insider Partners with MILC Platform to Revolutionise the Global Media Industry The Metaverse Insider is proud to announce a partnership with MILC as part of its evolving Metaverse ecosystem. 43. Copywriting vs Content Writing If you believed that content writing and copywriting were the same thing, then you'd be wrong. 44. What's Next for Media - A Conversation With Sean McDonnell 45. 5 Tips to Create an Effective Content Strategy Want to connect with the right audience and increase your website traffic? Here are 5 useful tips to create an effective content strategy. 46. How to Create Promotional Assets: An Insider's Guide into the World of Graphic Design I offer you to go through the evolutionary stages of promo materials. 47. Understanding The Importance of Regular Content Updates For SEO In this piece, we’ll discuss content decay and how to spot it in its early stages. Then, I'll review the best practices for keeping older posts fresh. 48. How I Use Mind Mapping to Create Content (This One, Too) Find out how to leverage mind mapping to supercharge your content creation process. 49. How Putting your Book on a Blockchain can Change your Career Overnight Bend your mind around decentralized publishing with these success stories 50. Putting Up One Piece of Content a Day on Social So many people struggle to post consistent content every day on their social media. So, I decided to put these content ideas that anyone can use. 51. Kadeem Clarke On Love of Cars & Keeping Up With the Blockchain World Meet HackerNoon contributor Kadeem Clarke, Head of Labs at Momentum 6 and Founder of Clarke Global. 52. AI Vs. Copywriters: Exploring Artificial Intelligence in Digital Marketing How does artificial intelligence affect future content creation, and why do you need to be a part of the process? 53. 5 Content Strategies That Drive Your Readers to Act Great content—blog posts, case studies, newsletters, etc.—is a valuable tool for engaging your audience while providing value. Before ever asking for a sale you’re able to give them something, which drives a makes a great impression on anyone who comes across your content. 54. How To Make Your Case Study More Effective In marketing, a case study is a detailed document that shows your users how they can use your brand in specific situations to achieve enormous results. 55. On Passion Economy and Knowledge Entrepreneurs, with Jeremy Saenz, CPO of Kajabi The platform has reached impressive scale: Since its founding 10 years ago, Kajabi—which is bootstrapped—has empowered over 50,000 users in 120 countries. 56. How To Pitch Your Story and Get Published Tons of websites offer guest post opportunities, and probably you would love to get published at least in one of them. Working on both sides - publisher at Abstract Stylist and an independent blogger, I have a rare opportunity to share my insights and most common mistakes people make while pitching their guest posts. Let's take a look at 5 mistakes I see people make daily. 57. Top  Platforms to Launch an NFT Collection for Digital Content Creators Creators with zero to little coding experience can leverage any of these platforms to build an NFT collection, unlike many other currently available solutions. 58. Content Plan as an Instrument To Success The goal of all marketing efforts of any business is to create a customer data and interact with it to create brand loyalty and stimulate sales. One of the most effective and inexpensive ways to do this in today's multi-channel environment is content marketing. 59. This Approach Helped me to Drive 100,000 Organic Visits Yes. You read it right! You can generate 100,000 organic traffic by just changing your keyword approach. 60. 11 Ways to Find Inspiration for New Content Ideas A helpful post to find inspiration for your next piece of content 61. These Are The Secret Weapons of Fake News Modern fake news has evolved into a complex organism, carefully designed to hide its deceptive mechanisms from any potential victim. But although the fake news field has grown into every possible digital channel, the truth is that at its core, in order to be effective, it still relies on exploiting our most basic human characteristics. 62. Andreessen Horowitz is Betting on the Passion Economy Andreesen Horowitz has invested broadly across the creator economy, and, by platforming media, stands to gain billions whether or not creators succeed. 63. Why Human Curators Still Matter This article looks at the concept of curator economy, why it is important and its present state in the age of information overload. 64. How Blockchain and NFTs Can Change The Creative Industries What are the benefits of blockchain and NFTs for creative industries? 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Get More Speaking Engagements By Building Your Personal Brand - Here's How This article is for all my friends and acquaintances, co-workers and aspiring product managers, mentees and anyone else who has ever asked me — 69. 6 Effective Tips For Content Creation in eCommerce Businesses Any e-commerce business has lately realized the importance of building a robust social media presence. And that is achieved primarily by creating quality content. However, other avenues such as e-commerce business websites or video platforms can thrive through creative and engaging content. 70. 6 Content Ideas to Boost Your Business Growth Learn how you can boost your business growth through 6 content marketing hacks. Explore types of content ideas you should develop to win people over. 71. The Effect of Blockchain Technology on Content Creation The blockchain gives content creators all over the world to gain full control over their income. Everyone from artists to photographers can earn at all levels 72. Will Content Continue to Rule? In the movie Little Women, Jo March’s (Saoirse Ronan) inky fingers give her away as the writer rather than just the bearer of someone else’s manuscript; as she claims initially in the newspaper editor’s office, she’s nervously visiting. The editor decisively strikes through many pages before accepting a story and making an offer of payment. Thrilled to the core, Jo March runs through the streets for she had sold her first piece of content! 73. Create Instagram Content your Audience Would Actually Like to See Find out how you can use these three types of content to boost your social media profile on Instagram to grow your brand, get more view and much more. 74. 6 Actionable Tactics to Improve Content Performance and Ace Content Metrics For content to be great, it should hit home with your readers, hook them in so they don’t leave your page, make a positive impact on them, and rank higher. 75. Learn How to Build an Airtable Content Calendar For Free Whether you’re a creator planning upcoming blog posts or a small business that’s focusing on publishing content to improve your SEO, your creative process will be enhanced by utilizing an intuitive content calendar. 76. 6 Easy Ways to Scale your Content Creation Strategy Want to scale your content creation strategy? Here are 6 easy ways to do that. 77. A Step-by-Step Content Marketing Guide for IT Companies Wondering how content marketing looks in 2021? Check out this article and learn more about content strategy, best distribution channels, and practical hacks. 78. 5 Tech Tools to Sharpen Your Creativity Creativity is important today because it helps us innovate and think outside the box. Knowing how to use your creativity can open up a world of opportunities, so it's worthwhile taking the time to sharpen these skills with the right tools. 79. Content Performance: 4 Ways to Optimize Content That Converts Writing engaging content only works if it converts. Here 4 tips that will help you optimize your content and help it to convert like crazy. 80. An SVOD Platform That Puts Creators and Consumers in Control - With DeFi Vabble, a blockchain-powered subscription video on demand (SVOD) service that gives both creators and consumers total power over their user experience. 81. The Social Media Marketer's Toolkit Here are the tools you’ll need in 2021 as a Social Media Manager to make your business generate a buzz on social media. 82. 8 Reasons Your Company Needs Content Marketing Strategy Most people still argue whether content marketing is still relevant in 2020. The truth is that content marketing isn’t going anywhere. 83. Create a Killer Content Marketing Strategy for Your Business in 9 Minutes How to create a killer content  strategy in 9 minutes 84. Why Clickbait Is Bad For You Clickbait helps increase click rate, but is it the best strategy for sharing content? Find out why clickbait is bad for you and how you can use it well here. 85. How to Create Better Content with an SEO Content Outline (Tips from 30+ Experts) Advice from 30+ experts on creating SEO content outlines. 86. 24 Content Strategy Tips From Pros For Technologists Who Want to Start Writing New to blogging? Or wish to revisit your content plan for your long-forgotten blog? You've come to the right place. 87. Pirates Won't Pass: How to Get Stolen Content Taken Down We want to tell you about one case where we helped remove plagiarized content from the web. Thank you for checking out the 87 most read stories about Content Creation on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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