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source. The global supply chain is in a gridlock. You see — the supply chain, at a glance, works like a series of streets. Think of New York City; a dense assortment of various avenues, and stores, with cars and people running to and fro every single day. Occasionally, there might be construction or an accident that prevents the flow of traffic within these streets, however, that only happens once in a while. Due to the infrequency, it can be cleared up relatively quickly and not have an effect on the flow of the city day-to-day. Imagine if one day, those streets became clogged with a substance that couldn’t be cleared for an entire year. Alongside that, the neighbors started fighting and restricting who can buy what, causing consumers to have to choose more carefully where they may buy from. That is the state of the supply chain as we see it. Instead of a blockage every so often, there are multiple blockades occurring at the same time. From the pandemic to economic sanctions, the congestion of the supply chain has gotten increasingly problematic over the years. Data is a huge part of what keeps a supply chain moving. If the data around the supply chain is managed and properly viewable, then proper rerouting and real-time optimizations can occur in the event of these continuous “Black Swan” events. Data mismanagement in the supply chain lacks continuity, verifiability, and interoperability. The supply chain is crucial to the world. Food, necessary supplies, and resources all depend on it to be properly functioning. With Web3 tech, we can begin to manage this entanglement of global information and build a much more robust tracking system for the supply chain. Outdated Supply Chain Tech — The Curse of Web2 Data management and aggregation are still huge problems for the supply chain. Even before events like COVID-19, or recent political events, they all suffered from the proprietary nature of web2. By nature, supply chains are interdependent. According to an , supply chains used to be 80% predicting what was going to happen and 20% as a margin of error for the unexpected. article by WIRED In the past year, this percentage flipped, with unexpected setbacks and events occurring within supply chains globally more frequently than ever before. A few common factors contributed to this, but one stood out amongst all: the lack of verifiable data. Essentially, there was no uniting way for the global supply chain to be properly connected. A few companies have made attempts, however, in order to detangle the mess of data disarray, there has to be a common protocol to verify, manage, secure, and aggregate relevant data to the logistics and supply chain industry. Upgrading the Global Supply Chain With Web3 Web3 is not an end-all-be-all solution. However, in this particular case, it offers much in the way of data management, aggregation, and control. Keep in mind that web3 doesn’t mean only blockchain. It’s the amalgamation of technologies, i.e, AI, blockchain, and distributed storage that makes for the eventual stack of web3. In particular, blockchain makes for great use for this technology, as its natural ability to keep a record of linking documents is great to demonstrate for something where time is a major factor, such as in the supply chain. Identity is also a huge deal — verifying not only when, but who was responsible is crucial for a particular supply chain path or load is imperative. Especially for pharmaceutical use cases, where the source is especially important to know. A large problem in the supply chain is the lack of communication between systems. There is no interoperability. Meaning, each supply chain has its own separate way of communicating and storing data, with no common way to communicate with each other if needed. Using blockchain as a sort of “rule of law” for each separate supply chain context, each supply chain can globally communicate with other supply chains as needed. There can even be an architecture where all supply chains come back to a single relay chain, which is responsible for managing the world’s global supply. The robustness of this technology would ensure that even in the event of an emergency, disruptions would be highly minimal. Tracking unexpected events is crucial for some industries, such as agriculture, to check for bad bacteria or outbreaks. Using these systems, one can trace it back to the source and rectify the problem much more quickly and efficiently. Conclusion Gaining more insight and data about supply chains will be crucial to ensuring the flow of the world remains unaffected by major events. From the use of more IoT to gather information on-site to managing said data, the supply chain is in need of a much-needed upgrade. In the same way, blockchains and web3 tech transact and verify digital money, the same concepts can be used and applied to data to make for more robust, sustainable tracking systems. Also Published Here

Using Web3 to Detangle the World’s Supply Chain 

Hey everyone! I’m Nataraj, and just like you, I’ve been fascinated with the recent progress of artificial intelligence. Realizing that I needed to stay abreast with all the developments happening, I decided to embark on a personal journey of learning, thus 100 days of AI was born! With this series, I will be learning about LLMs and share ideas, experiments, opinions, trends & learnings through my blog posts. You can follow along the journey on HackerNoon here or my personal website here. In today’s article, we’ll be looking to build a Semantic Kernel with the help of GPT-4. There is a lot happening in generative AI space. So much so that Nvidia the arms dealer of generative AI with its H100 chips is now surpassed Amazon’s market valuations. It is also a very dynamic space with lots of activity from startups and the big tech companies. In this post I will highlight three big trends that we might see in the next 12-18 months. 1 – Data Deals For last two decades we kept saying data is the new oil. This phrase will have real implications this year. A lot of companies have accumulated unique sets of data and have found a real product market fit. Recently a news broke out the Reddit made a deal to access to its data to an unnamed company for $60M. The terms of the deal are unknown but that’s $60M new revenue for Reddit. Look out for more deals from companies that have unique sets of data. 2 – Focus on Open Source Models Since Open AI launched chat gpt, the conversation was dominated by gpt series base models which are closed models, meaning no one except the Open AI team knows the details of how the model was trained, what data it was trained on & the parameters of the model. We will see more Open Source models take stage and capture attention. The main player in this arena to look out is Meta (Facebook). Meta is taking the page out of Google’s approach in mobile. While Apple’s mobile operating system was closed, Google strategy was to be an open source mobile operating system that fuels 80%+ of world’s mobile phones. So keep an eye out on Meta. 3 – Small Language Models Open AI proved to the world what is the power of Large Language Models (LLMs). But as every company in AI is racing to build product ready products and features and trying get enterprises adopt AI for their business. LLMs might not always be the best solution. A smaller model which can take less compute to train and uses less but more quality data might actually be better. These models referred to as SLMs could be run on mobile phones which will increase the access of AI to wider audience. Some of the SLMs to check out are: Phi by Microsoft
Orca by Microsoft
T5 by Google One of the main forcing function to adapt and innovate with SMLs is to reduce the compute cost and there by making AI more accessible. 4 – Focus on LLM Security I am not talking about data security to train the LLM. I am referring to instances where users can hack LLMs to do something that they are not supposed to or break just them. There are a lot of security issues that are cropping up on how to hack LLM behaviors. Some include: Jailbreak to make LLM answer something that it shouldn’t like making a banned substance at home.
Prompt Injection to hide prompt instructions that break LLMs
Data poisoning is embedding bad data on the internet which will be used by LLMs and can later be misused. There are more and more ways we are currently discovering that LLMs can be compromised as we fix the ones we know about. This will be one of the active areas where progress will be made in 2024 both on research & product side. 5 – Regulatory Implications It pretty clear that AI is going to have huge implications on the society across all sectors. It will cross paths with every aspect of society and as we have seen every big company announce major AI initiatives and investments into AI during 2022-23. Microsoft invested in Open AI & Inflection
Google & Amazon invested in Anthropic
Jeff Bezos invested in Perplexity
Airbnb acquired a stealth AI company called gameplanner.ai Regulators were already focused on big tech which blocked them doing any acquisitions in last 3 years. With this in the background we will see regulators both in the U.S and E.U closely watch Ai investments and also potentially detangle some of the investments. The investments were made primarily to avoid acquisitions because people who are running big tech companies know that it is going to be an uphill battle to get them approved. But even some of these investments might also come under scrutiny. That’s it for Day 14 of 100 Days of AI. I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, subscribe to it. Follow me on Twitter, LinkedIn or HackerNoon for latest updates on 100 days of AI. If you are in tech you might be interested in joining my community of tech professionals here. Hey everyone! I’m Nataraj, and just like you, I’ve been fascinated with the recent progress of artificial intelligence. Realizing that I needed to stay abreast with all the developments happening, I decided to embark on a personal journey of learning, thus 100 days of AI was born! With this series, I will be learning about LLMs and share ideas, experiments, opinions, trends & learnings through my blog posts. You can follow along the journey on HackerNoon here or my personal website here. In today’s article, we’ll be looking to build a Semantic Kernel with the help of GPT-4. Hey everyone! I’m Nataraj, and just like you, I’ve been fascinated with the recent progress of artificial intelligence. Realizing that I needed to stay abreast with all the developments happening, I decided to embark on a personal journey of learning, thus 100 days of AI was born! With this series, I will be learning about LLMs and share ideas, experiments, opinions, trends & learnings through my blog posts. You can follow along the journey on HackerNoon here or my personal website here. In today’s article, we’ll be looking to build a Semantic Kernel with the help of GPT-4. Hey everyone! I’m Nataraj, and just like you, I’ve been fascinated with the recent progress of artificial intelligence. Realizing that I needed to stay abreast with all the developments happening, I decided to embark on a personal journey of learning, thus 100 days of AI was born! With this series, I will be learning about LLMs and share ideas, experiments, opinions, trends & learnings through my blog posts. You can follow along the journey on HackerNoon here or my personal website here . In today’s article, we’ll be looking to build a Semantic Kernel with the help of GPT-4. I’m Nataraj , I’m Nataraj 100 days of AI 100 days of AI here here here here There is a lot happening in generative AI space. So much so that Nvidia the arms dealer of generative AI with its H100 chips is now surpassed Amazon’s market valuations. It is also a very dynamic space with lots of activity from startups and the big tech companies. In this post I will highlight three big trends that we might see in the next 12-18 months. 1 – Data Deals For last two decades we kept saying data is the new oil . This phrase will have real implications this year. A lot of companies have accumulated unique sets of data and have found a real product market fit. Recently a news broke out the Reddit made a deal to access to its data to an unnamed company for $60M. The terms of the deal are unknown but that’s $60M new revenue for Reddit. Look out for more deals from companies that have unique sets of data. data is the new oil 2 – Focus on Open Source Models 2 – Focus on Open Source Models Since Open AI launched chat gpt, the conversation was dominated by gpt series base models which are closed models, meaning no one except the Open AI team knows the details of how the model was trained, what data it was trained on & the parameters of the model. We will see more Open Source models take stage and capture attention. The main player in this arena to look out is Meta (Facebook). Meta is taking the page out of Google’s approach in mobile. While Apple’s mobile operating system was closed, Google strategy was to be an open source mobile operating system that fuels 80%+ of world’s mobile phones. So keep an eye out on Meta. 3 – Small Language Models Open AI proved to the world what is the power of Large Language Models (LLMs). But as every company in AI is racing to build product ready products and features and trying get enterprises adopt AI for their business. LLMs might not always be the best solution. A smaller model which can take less compute to train and uses less but more quality data might actually be better. These models referred to as SLMs could be run on mobile phones which will increase the access of AI to wider audience. Some of the SLMs to check out are: Phi by Microsoft Orca by Microsoft T5 by Google Phi by Microsoft Phi by Microsoft Orca by Microsoft Orca by Microsoft T5 by Google T5 by Google One of the main forcing function to adapt and innovate with SMLs is to reduce the compute cost and there by making AI more accessible. 4 – Focus on LLM Security I am not talking about data security to train the LLM. I am referring to instances where users can hack LLMs to do something that they are not supposed to or break just them. There are a lot of security issues that are cropping up on how to hack LLM behaviors. Some include: Jailbreak to make LLM answer something that it shouldn’t like making a banned substance at home. Prompt Injection to hide prompt instructions that break LLMs Data poisoning is embedding bad data on the internet which will be used by LLMs and can later be misused. Jailbreak to make LLM answer something that it shouldn’t like making a banned substance at home. Jailbreak Prompt Injection to hide prompt instructions that break LLMs Prompt Injection Data poisoning is embedding bad data on the internet which will be used by LLMs and can later be misused. Data poisoning There are more and more ways we are currently discovering that LLMs can be compromised as we fix the ones we know about. This will be one of the active areas where progress will be made in 2024 both on research & product side. 5 – Regulatory Implications It pretty clear that AI is going to have huge implications on the society across all sectors. It will cross paths with every aspect of society and as we have seen every big company announce major AI initiatives and investments into AI during 2022-23. Microsoft invested in Open AI & Inflection Google & Amazon invested in Anthropic Jeff Bezos invested in Perplexity Airbnb acquired a stealth AI company called gameplanner.ai Microsoft invested in Open AI & Inflection Google & Amazon invested in Anthropic Jeff Bezos invested in Perplexity Airbnb acquired a stealth AI company called gameplanner.ai Regulators were already focused on big tech which blocked them doing any acquisitions in last 3 years. With this in the background we will see regulators both in the U.S and E.U closely watch Ai investments and also potentially detangle some of the investments. The investments were made primarily to avoid acquisitions because people who are running big tech companies know that it is going to be an uphill battle to get them approved. But even some of these investments might also come under scrutiny. That’s it for Day 14 of 100 Days of AI. That’s it for Day 14 of 100 Days of AI. I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, subscribe to it. I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, subscribe to it . subscribe to it Follow me on Twitter , LinkedIn or HackerNoon for latest updates on 100 days of AI. If you are in tech you might be interested in joining my community of tech professionals here . Twitter Twitter LinkedIn LinkedIn HackerNoon HackerNoon here here

100 Days of AI, Day 14: The Five Generative AI Trends to Watch Out for in 2024

AI-এর 100 দিন, দিন 14: 2024 সালে লক্ষ্য রাখার জন্য পাঁচটি জেনারেটিভ AI প্রবণতা

100 Tage KI, Tag 14: Die fünf generativen KI-Trends, auf die Sie im Jahr 2024 achten sollten

100 días de IA, día 14: Las cinco tendencias de IA generativa a tener en cuenta en 2024

100 jours d'IA, jour 14 : les cinq tendances de l'IA générative à surveiller en 2024

एआई के 100 दिन, दिन 14: 2024 में ध्यान देने योग्य पांच जनरेटिव एआई रुझान

AI の 100 日、14 日目: 2024 年に注目すべき 5 つの生成 AI トレンド

AI 100일, 14일차: 2024년에 주목해야 할 5가지 생성 AI 트렌드

100 dias de IA, dia 14: As cinco tendências de IA generativa a serem observadas em 2024

100 дней ИИ, день 14: пять тенденций генеративного ИИ, на которые следует обратить внимание в 2024 году

100 Gün Yapay Zeka, 14. Gün: 2024'te Dikkat Edilmesi Gereken Beş Üretken Yapay Zeka Trendi

100 ngày của AI, Ngày 14: Năm xu hướng AI sáng tạo cần chú ý vào năm 2024

人工智能 100 天，第 14 天：2024 年值得关注的五种生成式人工智能趋势

Let's learn about via these 64 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Interoperability /Learn Repo 1. What Is True Blockchain Interoperability? If you are in the crypto world, then the word "blockchain interoperability" may familiar to you because there are so many projects are gaining publicity and funds from investors by using this term, and many projects like  Chainlink, Cosmos, Polkadot, and Wanchain are claiming to give true blockchain interoperability. So in this article, we will discuss about these   projects and try to understand what kind of blockchain interoperability they are giving and what benefits we can get because of blockchain interoperability? 2. The Spatial Web is Coming... Web 3.0 is About to Take a Giant Leap - Part 4 Anything that wants to be recognized will have to be included in this Web 3.0 network. Every protocol, platform, interaction, messaging, data distribution, 1st 3. Blockchain Interoperability: What Do Cross-Chain Messages Do Anyway Cross-chain messages, the bread and butter of interoperability are an important blockchain technology that be used for transactions, information exchange & more 4. DAOs are a Catalyst for Decentralization - Unhashed #15 Harmony.one’s founder, Stephen Tse, discusses the importance of interoperability for blockchain. 5. Understanding Ethermint Ethermint is a portmanteau word blending Ethereum and Tendermint together. But for most people, their grasp on the project, the what, the why stops there. 6. Startup Interview with Antonio Peláez, Dapp CEO & Cofounder Dapp was nominated as one of the best startups in Queretaro in Startups of the Year hosted by HackerNoon. 7. Interoperability - the Key Blockchain Challenge in the Fragmented Web3 World A major blocker of Web3 is that blockchain are often isolated with no communication between them. The expansion of Web3 requires interoperability. 8. Meet Lisk Lisk is an open-source blockchain application platform that aims to improve Web3 accessibility for both users and developers. 9. Building for Inclusivity: Deconstructing Metaverse Barriers Joining the Metaverse isn't so easy, as this striped red fox recently discovered. So how do we embed inclusivity into its foundation for an equitable future? 10. Bullieverse: Building a Metaverse Beyond Gaming During the Non-fungible Conference, Hackernoon got an exclusive interview with Arunkumar Krishnakumar, who shared insights on his new project, Bullieverse. 11. A New Era of Interoperability With Metropolis World and Flare Network Metropolis World wants to go one step further and bridge the gap between different blockchains and metaverses, partnering with the Flare Network 12. The Difference Between WWW and the Spatial Web The World Wide Web is a library of pages. The Spatial Web is a library of spaces.
using a new protocol linking spaces and all objects over multiple dimensions. 13. Univers Partners With VR Connections to Make Metaverse Interoperability a Reality As the Metaverse narrative grows we will see multiple and different iterations of the Metaverse, each one based on the vision laid out by its creators. 14. True Decentralization is the Key to Cross-chain Bridge Security That said, even though today’s bridging solutions are not without their shortcomings, cross-chain bridging is a mandatory feature for blockchains. 15. Interoperability and Why It's Important for the Blockchain Space Interoperability in the context of blockchains refers to a blockchain's capacity to freely exchange information with other blockchains which will be important. 16. How Is Inter-blockchain Communication and Interoperability Achieved? This story explains inter-blockchain communication (IBC) and interoperability. 17. The Spatial Web Is at Hand...Is Web3 Prepared? - Part 1 Most Web3 companies are building for "enhanced" Web2 experiences. They are not yet considering what is truly required for the implementation of a decentralized 18. The Spatial Web is at Hand... What are Smart Technologies? Part 2 Undeniably, there are specific Smart Technologies that will be crucial to the architecture of this universal network of interconnected people, places & things, 19. Problems With Cross-Chain Bridging and Direct Integrations With Web2 Blockchain bridges are hard to do technically and susceptible to hacks. That's why other solutions like direction integrations are needed. 20. Providing Proof in an Untrusting World Dragonchain's hybrid platform provides blockchain-based measurable proof  for selective transparency, accountability, and regulatory compliance. 21. Exciting Developments in the Blockchain Industry 2022 A look at exciting developments in the blockchain industry for 2022. 22. Lisk Events at Berlin Blockchain Week Do you want to learn more about blockchain? Would you like to network with other Web3 enthusiasts and learn more about the most important industry trends? Then 23. The Role of Multichain Token Systems in Achieving Blockchain Interoperability In this interview we'll speak with Marius Ciortan on the role that multichain token systems play in achieving interoperability. 24. A Beginners Guide On Blockchain Bridges Blockchain Bridges address Blockchain's inherent inability for interoperability. By allowing different chains to communicate, the ecosystem is streamlined. 25. Cosmos Signal: Our Quarterly Keynote, Q3 2021 Our all-new high-impact quarterly keynote in which we reveal the latest exciting developments and showcase stunning new products in the Cosmos ecosystem is here 26. Omnichain dApps: a new crypto primitive Why the world needs a decentralized blockchain with built-in omnichain interoperability 27. Avatars and The Metaverse Here is what you need to know about avatars in the metaverse 28. Cross-chain Communication and the Role of CCU This is the next edition of the blog post series covering the details of the Lisk interoperability solution. 29. A Guide to Cross-Chain Bridges With the rapid development of DeFi market, the need for a covenient solution to transfer the assets between chains became apparent. 30. The Lingering Problem With Cross-Chain Bridges Without interoperability protocols, decentralization would be a myth. Let's explore the problem of cross-chain bridges and its solution. 31. Interoperability and Its Role in the adoption of Blockchain Technology A look at interoperability and its role in the adoption of blockchain technology 32. Why Multichain Collaboration Is Critical To The Future Of Web3 Web3 is going to be built by a network of engineers working towards common goals using multichain collaboration to make it as interconnected as possible. 33. Why the Spatial Web Demands a New Protocol As technology evolves, the way in which we interact with it and utilize it demands more expansion and sophistication over time. 34. Compact Blockchain Protocols can Disrupt IoT Devices If designed in a compact manner, blockchain applications can disrupt the IoT industry. 35. Layer2 Interoperability: StarkEx Vs.  Loopring Vs. Hermez Vs. Connext StarkEx, Loopring, Hermez and Connext use different methods to solve the funding efficiency problem of liquidity providers. Will any of them be a perfect one? 36. "Interoperability Would Mean Real Freedom of Money" - Binance CEO CZ [Original Interview] Despite going through a very rough period between early 2018 and early 2020, the so-called “crypto winter” has seemingly come to an end. Bitcoin and alternative markets are showing signs of life in terms of price discovery. Combined with the rise in attention for DeFi projects, the second half of this year - as well as the years to come - offer a lot of potential. More and more companies are paying attention to Bitcoin. As Binance CEO Changpeng Zhao states, it is a sign of stimulus money flowing from Wall Street into Bitcoin. 37. Peeling Off the Layers of the Metaverse The metaverse has layers, just like ogres and onions. 38. Cryptocurrency 2020: Heading Towards Privacy, Adoption, and Ease of Use? If cryptocurrency payments are to ever compete with credit cards and mobile apps for day-to-day use, sending and receiving cryptocurrency needs to be just as easy. 39. DeFiChain's U-Zyn Chua Thinks Multichain Web3 Compatibility is Where Blockchain Industry is Headed Discussion on the future of multichain technology within the Web3 space. 40. Ethereum High Transaction Fees Discourages New Participants From Entering the Ecosystem This article talks about blockchain, FATF and NFTs. 41. "India May Regulate Crypto But I don’t Anticipate A Ban" - Sandeep Nailwal This interview discusses the internet of blockchain, Polygon/matic and Defi and how developers can build decentralised applications. 42. The State of Blockchain Interoperability in 2020 [An Overview] This is my first major study (source), about Blockchain Interoperability, which started in December 2019 and was last updated today. We analysed 330+ documents and obtained feedback from 30 people, to categorize the most relevant blockchain interoperability projects. We came up with three categories: Cryptocurrency-directed interoperability approaches, Blockchain Engines, and Blockchain Connectors. 43. "Rollups Incentivize Operators to Verify and Execute Transactions Correctly." - Kevin Liu This interview talks about blockchain interoperability and scaling blockchain solutions with layer two solutions. 44. "The Need for Interoperability Is Becoming Increasingly Clear" - Jack Lu This article talks about blockchain interoperability and the early days of ethereum and smart contract development. 45. Catalysing DeFi: Introduction to Fusion and Fantom The DeFi space is growing tremendously since its inception, and platforms like Fusion and Fantom are proving to be the catalyst in this ever-growing niche. 46. The State of Blockchain Interoperability in 2021 After nearly 9 months of work, version 3 of “A Survey on Blockchain Interoperability: Past, Present, and Future Trends” is out. This survey depicts the state of blockchain interoperability as of March 2021, by collecting and analyzing 404 documents. 47. Blockchain Interoperability Interoperability is a characteristic of a product or system, whose interfaces are completely understood, to work with other products or systems, at present or in the future, in either implementation or access, without any restrictions. - Wikipedia 48. From Bianjie Point of View: On Helping Develop Cosmos Ecosystem We discuss how Bianjie and IRISnet have been instrumental in developing Cosmos so far, what the recent grant from the Interchain Foundation (ICF) means and more 49. Meet the New Lisk Mainnet Lisk Mainnet v2 successfully completed the migration to Lisk Mainnet v3. This comprises the biggest protocol changes on the Lisk blockchain ever. See details. 50. Token Transfers Using IBC Passing of Proposal 41 marks a momentous milestone in the evolution of the Cosmos ecosystem & the vision to realize the IBC Protocol as foundation. 51. Crypto Projects Are Racing to Crack the Interoperability Problem Interoperability is a big word with even bigger connotations for the cryptosphere. In Fact, apart from the burgeoning DeFi movement, no other industry vertical is attracting so much investment and interest. 52. Using Web3 to Detangle the World’s Supply Chain The global supply chain is in a gridlock. Let's fix that. 53. Purchase NFTs on Flare Using the Token of a Different Blockchain - Trustlessly! Dubai, Feb 23: The layer-1 for data, Flare, just completed a live demonstration of new interoperability functionality now available in beta on the network. Using two core interoperability protocols, State Connector and Flare Time Series Oracle (FTSO), an NFT was trustlessly purchased with the transaction taking place on a different chain using a different token. The demo was performed on Flare’s canary network, Songbird, with the purchase made using DOGE and XRP tokens. 54. Why does Blockchain Interoperability exist? Around ten months ago we wrote in this blog post that all the research up to blockchain interoperability was completed. 55. Blockchain Interoperability: The Lifecycle of a Sidechain From its inception to its potential termination, a sidechain may go through three stages, corresponding to three states, in the context of the interoperability. 56. Novel Solutions for Inclusive Digital Currencies An efficient, interoperable, scalable, and quantum encrypted CBDC solution for sovereign monetary systems of the future, possible today. 57. Lisk's Interoperability Solution: An Overview One of the central topics at our recent Lisk.js 2021 event, and the one we are most proud of in the Research team, was the publication of the Lisk interoperabil 58. Sparse Merkle Trees: The New State Model for Lisk's Interoperability This blog post is part of the interoperability blog post series taking a closer look at various aspects of the Lisk interoperability solution. 59. Tips to Achieve Data Interoperability in Healthcare Health data is notoriously difficult to share. Due to its sensitive nature, it requires more privacy and security than any other data. However, the inability to access it on time can cause significant harm. In a world with high healthcare interoperability, doctors can aggregate patient data from various care facilities with a few mouse clicks and view it on their computer screen, including the complex medical imaging files. This will supply clinicians with a comprehensive overview of a patient’s medical history, allow them to access any recent test results, instead of having to repeat the same tests, and will eliminate redundant entries. In their pursuit of interoperability, medical facilities turn to healthcare software development vendors. But they are met with various challenges, including technicalities, such as which standard to choose, privacy concerns, and reluctance towards data sharing. So, how to improve interoperability in healthcare? And is it worth the investment? 60. Co-Chains: Bridging Public and Private chains as a way to INTEROPERABILITY? Blockchain industry is developing at a very high pace of innovation, adjusting and tuning its parameters, trying to find its market fit. There are thousands of projects available on the CMC, but just a few really worth a bigger attention. Lets try to briefly review the industry, its trends, where we are heading, and how Hybrid platforms (priv+pub) fit into a bigger picture. 61. Blockchain Bridges And Interoperability: Overview, Roles, and Integrations To resolve the issue of non-interoperability, a cornerstone technology of blockchain has been developed — the bridge. 62. Polkadot Deep Dive 2021 - Connecting The $DOTs A detailed 2021 guide on Polkadot and how it is geared towards solving some of the most fundamental yet complex problems faced by the blockchain ecosystem today 63. Interoperability in NFT Games with Adrian Krion In this slogging AMA, we hosted Adrian Krion, the CEO of Spielworks. Adrian explained the purpose of Spielworks, and we discussed tokens, gaming and NFTs. 64. On Multichain and Interoperability with Maciej Baj and Jacobi Kowalewski In this Slogging AMA, we welcome Maciej Baj and Jacob Kowalewski from t3rn, a smart contracts platform. Thank you for checking out the 64 most read stories about Interoperability on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

64 Stories To Learn About Interoperability

Let's learn about via these 42 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Logistics /Learn Repo 1. Artificial Intelligence and Logistics 4.0 Are Transforming the Way We Manage Inventory The growing competition in logistics has forced companies to look for new alternatives to remain among the best players in the market. AI has come to the rescue 2. The Story of Shuttle Planet, Early Traction, and a Bunch of Misfits "Keep going; don’t let fear stop you too much. Focus on the fact that every effect has a cause, find out what that cause is." 3. How Optimizing Outbound Logistics Saves Your Business Time and Money Outbound logistics play a critical role in a company's overall supply chain management and can significantly impact its bottom line. 4. Sea of Transformation: Chatbots in The Logistics Industry The usage of the new age customer support technology bots, popularly known as Chatbots is on the rise. Researches show that more than 80% of the customer communication that is done on websites or mobile apps are done through chatbots. Chatbots are highly valuable for the companies because they can work round the clock, are easy to use and do not make any kind of errors. 5. How Estimated Time of Arrival is Calculated in Logistics Tech We focused on how to enhance ETA in Logistics and how to calculate it. Computing the estimated time of arrival is one of the ways toward customer satisfaction. 6. Toilet Paper Mania Leaks Supply Chain Opportunity: What Will Venture Do? W.W.V.D? Even before the pandemic hit, global supply chains contained an estimated $176 billion of inefficiencies. 7. Hacking the Way Business is Done With Diversity [Infographic] Understanding how diversity should properly be represented through business and the supply chain. 8. Analyzing The 6 Most-Promising Logistics and Supply Chain Trends in 2022 Here's a review of the key logistics and supply chain trends of 2022 to help T&L leaders decide on their innovation strategy and what technologies to invest in. 9. 4 Effective Ways Augmented Reality Solve Issues in Logistics Industry 10. Logistics Security: 5 ways to protect the Supply Chain Against Cybersecurity Attacks This article explains how to protect the supply chain sector against cybersecurity attacks. 11. How Technology Has changed the Logistics Industry Improved technology has also increased productivity in the supply chain.  It is helping to make the shipping process more efficient. 12. How IoT is Transforming Transportation, Supply Chain, and Logistics In today’s connected world IoT can speed up the rate of delivery actions of vehicles used for logistics and transportation purposes. 13. Implementing Business Technology Improves Startup Operations Considering all the ways technology is currently improving your business can help you think more broadly about how further implementation can affect operations. 14. Reconstructing Our Food Supply Chains with Blockchain Technology Blockchain technology can streamline and restructure the way that we interpret global supply lines, a change that may be vital for addressing climate change. 15. How the International Parcel Service Works The international parcel service has a special operation, which we will try to describe below. If you want to know and understand it, do not stop reading. 16. Startup Interview with Shachar Tal, Loginno Co-Founder Hackernoon's startup interview with Shachar Tal, Loginno's co-founder. 17. Using Web3 to Detangle the World’s Supply Chain The global supply chain is in a gridlock. Let's fix that. 18. 5 Best Transportation Management Systems (TMS) in 2021/2022 Having a robust TMS adopted to your logistics business has become a staple. A sneak peek at the best ready-made TMS solutions in 2021. Check out fresh insights. 19. The History and Perks of Third Party Logistics Software in Warehouse Management 3rd Party Logistics Software can be a powerful tool in managing your online business by consolidating much of the logistics under one easy-to-use site. 20. How 3PL is Changing eCommerce Supply Chain Dynamics Outsourcing supply chain and logistics to the 3PL providers have proved to be helpful for businesses. They offer various services for improving processes, risks mitigation, and saving resources. 21. Technologies That Are Transforming Logistics Industry How Big is the Number Game? 22. Hacking the Way Business is Done With Diversity [Infographic] Understanding how diversity should properly be represented through business and the supply chain. 23. This Startup is Bringing Ecommerce to Brazilian Favelas Nestled in a 10-square-kilometer area in the southwest zone of São Paulo, the favela (slum) Paraisópolis is home to more than 100,000 Brazilians. 24. How RPA is Helping Supply Chain Management Logistics and Supply Chain is one of the fastest-growing and the most competitive sectors in the world. Over the years, businesses have invested billions of dollars in scaling up their process and infrastructure to lower the price and look for opportunities to increase efficiency. 25. Supply Chain 4.0 Powers Greater Efficiency and Visibility in Logistics Learn how the digital supply chain allows organisations in Logistics and other sectors to become more agile and respond to market shifts with smarter solutions. 26. Integrated Logistics Management Software: Uber For Supply Chain Management As per statistics, upto 61% of customers want quicker deliveries, while 66% consider that the delivery method must be central to their shopping experience. Also, 93% of customers say that they wish to stay informed and receive constant and live updates from the retailers about the expected shipments. 27. 8 ways in which AI helps the logistics industry The world of logistics has been completely transformed with the advent of newer technologies, especially AI, and it is not a luxury anymore but a necessity for a business in this industry to thrive. 28. What happens inside an Amazon warehouse: A software engineer's guide Have you ever wonder what happens inside of an Amazon warehouse? As a software engineer, the supply chain field has plenty of technical challenges. 29. Blockchain Technology a Natural Progression for Supply Chain Companies We estimate that the application of Blockchain to global supply-chain alone could result in more than $100 billion in efficiencies. Add improvements in provenance and traceability of pharmaceuticals and food. 30. China's Information Warfare via LOGINK Continues Unabated: Here's How It's Done The PRC has created LOGINK, a logistics-focused software, for the purposes of data collection in accordance with its information warfare efforts. 31. Global Trading on the Blockchain - Opportunity or A Pipedream? Industries and governments are continuously seeking ways to optimize the movement of goods, data, and currencies across global supply chains. Global growth needs a jumpstart. 32. 12 Years of Blockchain: Where Are The Applications? There were a lot of talking about where and how blockchain is suitable. Attempting to stick the blockchain everywhere and to everything is a parody. 33. How Automatic Vehicle Location Improves Safety for School Buses Real-time communication has become an essential aspect of many industries, and transportation is no exception. With the rise of GPS tracking and internet-enabled devices, it has become easier to track vehicles and provide real-time updates to drivers and passengers. Aleksandr Ulanov, a senior software developer with extensive experience in Ruby development and real-time technologies, has been at the forefront of this development. In his recent work with 4mativ, he has developed a ground-breaking AVL platform that provides real-time updates on the location of school buses to parents and schools. In this interview, Aleksandr discusses the challenges he faced and the solutions he found in developing this platform, as well as the importance of real-time updates in the transportation industry. 34. Blockchain Application to Transform Supply Chains Towards Sustainability The self-updating and verifiable nature of the blockchain means that it can be useful in improving supply chains in an efficient and sustainable manner. 35. How the Conflict Between Russia and Ukraine is Affecting Supply Chains The war in Ukraine has disrupted global supply chains by tying up the production of two of Europe's biggest suppliers while disrupting trade through them. 36. Integrate a Route Optimization API to Save Millions in Last Mile Costs An overview and cost/benefit analysis of how route optimization API integrations can drive instant positive returns in last mile logistics. 37. Delivering Hydroponic Salad via Drones and Being Paid in Bitcoin [An Interview] Hydroponics, drones and Bitcoin. Three technological concepts that are used in a new project from the Parallel Garden team in cooperation with Parallel Polis. As we enter an era of social distancing, delivery of food by drone can be a pioneering act. We bring you an interview with the authors of the Hydroponic Flyer 2020 project. 38. How New Tech Will Help Avoid Delivery Delays This Holiday Season If every cloud has a silver lining, eCommerce has found one in COVID-19. Due to the fear over risks of infection, consumers, in general, are avoiding in-person shopping in brick-and-mortar stores and choosing to shop online instead. In the first eight months of 2020, online sales generated $497 billion in revenue. Adobe estimates that COVID-19 has lifted eCommerce sales by $107 billion since March. 39. Growing Your Construction Business? There’s an App for That. Thanks to modern technology, it’s possible to update blueprints, create and sign contracts, and care for your construction workers from your smartphone. To help take your company to the next level, check out these top construction apps. 40. Logistics App Development Overview: An Essential Guide Applications for logistics help collect and process data and control logistics processes. 41. How to Bridge the Physical and Digital World Through Digital Twinning A digital twin is a virtual form of a real-life product or a service. Heres why that matters! 42. Our Uber Eats orders would soon start getting delivered by robots! Our Uber Eats orders would soon start getting delivered by robots! Thank you for checking out the 42 most read stories about Logistics on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

42 Stories To Learn About Logistics

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Let's learn about via these 45 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Supply Chain /Learn Repo 1. Software Ages Like Milk, Not Wine: Why Open Source Vulnerabilities Matter Malware attacks in open source ecosystems have exponentially increased in the last 2 years. How do we build cybersecurity that scales to meet this challenge? 2. Helium Network: A Decentralized but Connected Future Discover what Helium, the "people's network," offers communities worldwide—as a rapidly growing data solution and potential solve for the supply chain crisis. 3. Helium Network Adoption: A Deeper Dive into HNT The Helium Network is backed by several companies and VC firms in the hopes that this disruptive tech will solve for supply chain issues and scaling demands. 4. Toilet Paper Mania Leaks Supply Chain Opportunity: What Will Venture Do? W.W.V.D? Even before the pandemic hit, global supply chains contained an estimated $176 billion of inefficiencies. 5. NFTs Can Bring Immutability and Transparency to the Halal Supply Chain By integrating immutable NFT technology within the halal supply chain, consumers can investigate and ensure increased confidence in the origin of halal foods. 6. Manufacturing Automation: What Processes You Should Automate in 2020 to Get More Efficiency The modern world is bombarded with the flow of advanced technologies. Cloud and quantum computing, Internet of Things, AI, 3D printing, and a plethora of other technologies ushered by the Fourth Industrial Revolution quickly change the usual way we perceive high technology and promise unfathomable horizons of opportunities. 7. Why the Gaming Chip Shortage in the Gaming Industry is not Game Over The global chip shortage has taken the gaming industry by storm, as it is one of the biggest industries most affected, and the resupply of consoles can last unt 8. How Blockchain is Revolutionizing the Supply Chain Industry A supply chain is a network of people and businesses involved in creating and distributing a product or service. It includes everything from the extraction of raw materials to the end consumers who purchase the product or service. A basic supply chain system involves suppliers of materials, manufacturers who turn it into a commodity, the logistics companies that manage the transportation of the raw material and commodities, as well as the final retailers that sell goods to consumers. 9. Blockchain Technology a Natural Progression for Supply Chain Companies We estimate that the application of Blockchain to global supply-chain alone could result in more than $100 billion in efficiencies. Add improvements in provenance and traceability of pharmaceuticals and food. 10. And the Covid Vaccine Winner is...the Blockchain How blockchains will reshape the Covid-19 vaccine supply chains and how a startup backed by Bill Gates´GAVI is at the forefront of the multi-billion $ bonanza 11. Notable Impacts of Blockchain Tech on The Supply Chain Blockchain technology in its full adoption has the potential to impact the supply chain. Technology has crept into blockchain to change it. 12. Using Web3 to Detangle the World’s Supply Chain The global supply chain is in a gridlock. Let's fix that. 13. Travel and Hospitality: Adapting to the "Next Normal" with Blockchain Technology In May 2020, Deloitte mapped out 4 potential scenarios for the global travel and hospitality industry to get to the “next normal.” Each scenario evaluated known unknowns such as disease severity, government collaboration, healthcare response, economic consequences, and social cohesion. 14. How Manufacturers Can Use Real-Time Data to Form Contingency Plans During Pandemics The global outbreak of the latest Coronavirus (COVID-19) at the beginning of this year caught many businesses and governments off guard. The global pandemic which to date has claimed the lives of over 347,106 people globally had brought businesses to a complete halt. 15. Emerging Food Technology Trends & Insights for 2022 The food industry is one industry that benefits from the use of technology, from data gathering, food quality, blockchain tech and supply chain tracking. 16. Hacking Holiday Shopping Shortages With a Tech Alternative [Infographic] A look at how fixing your used tech devices may solve some of your out of stock holiday shopping woes. 17. The Technology Behind Blockchain-based Supply Chain: What Does it Actually Do? Image: Pixabay 18. How IoT is Transforming Transportation, Supply Chain, and Logistics In today’s connected world IoT can speed up the rate of delivery actions of vehicles used for logistics and transportation purposes. 19. Hacking the Way Business is Done With Diversity [Infographic] Understanding how diversity should properly be represented through business and the supply chain. 20. Healthcare Supply Chain Issues and How to Solve Them with Technology While the healthcare industry seemed to contain the virus in 2022, the major fallout COVID-19 had on the healthcare supply chain is still yet to be tackled. 21. 5G is Revolutionizing the Supply Chain 5G network technology is transforming the supply chain with faster performance, improved safety and higher data capacity. 22. The Impact of European War on the Supply Chain: What it Teaches us About Resilience and Disaster Over the last few months we have seen the issues that the ongoing war between Russia and Ukraine has caused for global supply chains. 23. Hacking the Way Business is Done With Diversity [Infographic] Understanding how diversity should properly be represented through business and the supply chain. 24. Integrate a Route Optimization API to Save Millions in Last Mile Costs An overview and cost/benefit analysis of how route optimization API integrations can drive instant positive returns in last mile logistics. 25. Understanding the Solarwinds Sunburst Breach and the Severity of Supply Chain Attacks The Solarwinds Sunburst exploit was a devastating cyber attack that opened up thousands of companies to hackers. There's a lot to learn and understand about it. 26. Industry 4.0’s Ultimate Impact on Manufacturing Business The Fourth Industrial Revolution, more popularly coined as Industry 4.0, is brought upon us by restlessly growing volumes of data and all-consuming automation. These are the major modern IT tendencies that cover absolutely any type of business. The ultimate impact of Industry 4.0 is especially focused on the manufacturing sector. 27. How Next-Generation Supply Chain Tracking Is Improving Quality Assurance in the Cannabis Industry After a long day riding the slopes, a college student walks into a recreational marijuana dispensary in Lake Tahoe. She’s looking to kick back and enjoy the sunset, so she picks herself a bag labeled Purple Kush, a strain known for its mellow, muscle relaxation effects. 28. Logistics Security: 5 ways to protect the Supply Chain Against Cybersecurity Attacks This article explains how to protect the supply chain sector against cybersecurity attacks. 29. How to Conduct a Supply Chain Risk Assessment With the growing reliance on third-party vendors, it's essential to understand the potential risks. Here's how to evaluate risks and take steps to prevent them. 30. Analyzing The 6 Most-Promising Logistics and Supply Chain Trends in 2022 Here's a review of the key logistics and supply chain trends of 2022 to help T&L leaders decide on their innovation strategy and what technologies to invest in. 31. Is Blockchain the Future of Supply Chain? Benefits and Challenges Blockchain represents a complex technology with enough potential to revolutionize a wide range of industries. 32. How RPA is Helping Supply Chain Management Logistics and Supply Chain is one of the fastest-growing and the most competitive sectors in the world. Over the years, businesses have invested billions of dollars in scaling up their process and infrastructure to lower the price and look for opportunities to increase efficiency. 33. How 3PL is Changing eCommerce Supply Chain Dynamics Outsourcing supply chain and logistics to the 3PL providers have proved to be helpful for businesses. They offer various services for improving processes, risks mitigation, and saving resources. 34. Amazon Goes ‘Pharma’, Raising Question as to Future of Fulfillment for 2021 Back in November, Amazon announced its latest game-changing industry penetration, into the $300 billion pharmacy market. Amazon Pharmacy. 35. How Blockchain Can Improve Supply Chain Management Global supply chains underpin the macroeconomy and global markets and are therefore of key importance for a smoothly running economy. 36. NFT's Real World Use Case Example: Supply Chain A review of the benefits and risks of decentralized software solutions in general, and blockchain-based solutions - such as NFTs - in particular. 37. Technology Boosts Supply Chain Management During The Pandemic Here are several technologies that help companies build an agile supply chain during COVID-19 pandemic including blockchain tech, cloud MRP solutions, and more. 38. What's The Weakest Link in Supply Chain Management? Hint: It's Not Blockchain Blockchain-focused startups saw significant capital investment in Q1 2021 at $2.6B — more than the entirety of 2020. The world is waking up to BCTs potential. 39. How to Use IoT in Supply Chains What is IoT and is it really a technology of the future? and more importantly, how can it be used in optimising supply chains? 40. How the Conflict Between Russia and Ukraine is Affecting Supply Chains The war in Ukraine has disrupted global supply chains by tying up the production of two of Europe's biggest suppliers while disrupting trade through them. 41. What it Takes to Build the Factory of the Future (Infographic) A look at what it will take to build the factory of the future. 42. Digital Supply Chain Is Creating Disruption By Changing Business Functions Strengthening the supply chain management will directly boost the entire business and the digitize approach in supply chain management will do that for your ven 43. What Is Dropshipping? How to Start? Hi! Any chances you want to dropship? Sounds great unless you don’t fathom where to begin. 44. The Effectiveness of AI and ML on Supply Chains Amidst a Global Pandemic Covid-19 's impact on the supply chain industry has been very predominant. How to mitigate the situation by making the best of different optimization. 45. How Smart Card NFC Chips Improve Secure Key Management in Blockchain Solutions A major challenge in many blockchain solutions is to securely connect physical actors or objects to their digital representation in the blockchain. Thank you for checking out the 45 most read stories about Supply Chain on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

45 Stories To Learn About Supply Chain

Let's learn about via these 77 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Distributed Systems /Learn Repo 1. How Shift-Right Testing Can Build Product Resiliency Shift-right testing improves product resiliency by uncovering issues that  surface under heavy user traffic and are difficult to simulate in test environments. 2. Best Practices For Apache Kafka Configuration Having worked with Kafka for more than two years now, there are two configs whose interaction I've seen be ubiquitously confused. 3. A Look at the Top Questions for a System Design Interview at Facebook Facebook System Design Interview; Design Facebook NewsFeed; Design Status Search; Design Live Commenting; Design Facebook Messenger / WhatsApp; Design Instagram 4. Working With Transient Errors Each remote service that we call eventually going to fail. No matter how reliable they are, it is inevitable. 5. How to Use Cloud-init to Self-Register k3OS Clusters to Rancher The lightweight Kubernetes OS that is known as k3OS has quickly been gaining popularity in the cloud-native community as a compact and edge-focused Linux distribution that cuts the fat away from the traditional K8s distro. While k3OS is picking up steam, it is still on the bleeding edge and there is still a bit of a shortage of learning material out there for it. 6. Replicate PostgreSQL Databases Using async Python and RabbitMQ for High Availability PostgreSQL replication using python and RabbitMQ for providing your database server with High Availability by easily making replicas of your master server. 7. Federated Learning: A Decentralized Form of Machine Learning Major companies using AI and machine learning now use federated learning – a form of machine learning that trains algorithms on a distributed set of devices. 8. EdTech: How Dutch Secondary Schools Are Transforming With Tech It's been 2 years since I joined a Dutch EdTech company as Lead Dev and in this article I'll explain how we are transforming communication for Dutch schools. 9. An Intro to DisCO by the DisCO CAT: Color me Hopeful DisCO is a cooperative, feminist economic, commons-oriented and P2P way of working and an alternative to DAOs. 10. Hackable Blockchains Simulations Distributed consensus simulation visualization, DYOR 11. Promises, Microservices, and Intent Last year, after a bit of wrangling and lots of editing by the fantastic Jenn Webb, O’Reilly published a discussion Mark Burgess and I had on one of his trips through the Valley as a podcast. 12. How Optimizing Outbound Logistics Saves Your Business Time and Money Outbound logistics play a critical role in a company's overall supply chain management and can significantly impact its bottom line. 13. Common Design Patterns for Building Resilient Systems (Retries & Circuit Breakers) We talk about two design patterns that highlight best practices for building resilient microservices architectures at scale. 14. Distributed Computing: Illusion of Single System What is common between streaming movies on Netflix, searching for information on Google, buying clothes on Amazon? You interacted with data services built on distributed systems. You interact with the largest distributed system daily: the Internet. 15. How To Deal with Global Crisis: A Better “Truth Machine” One of the most terrifying parts of the current crisis is uncertainty. Uncertainty is one of the most terrifying things people can experience in general. Absolutely everyone I have spoken to is absolutely convinced that a lot of the information available is either biased, doctored or flat-out false. 16. Microservices? Why Not! The cost of microservices from a developer's perspective. 17. Using Web3 to Detangle the World’s Supply Chain The global supply chain is in a gridlock. Let's fix that. 18. Super Duper SQL Tips for Software Engineers In this post, we will talk about the features of working with SQL. We will talk about how you can possibly improve your database queries and speed up your app 19. Fixing The ClickHouse Node Failure On Distributed Systems - A How-To Guide Part One: ClickHouse Failures, by Marcel Birkner 20. When to Use the Fluence Protocol how Fluence network enables creative apps on an example of surprise party planning app 21. How to Avoid Inconsistency Across Microservices In a microservice architecture, you can get dependencies that impose restrictions on the services used 22. Failure Modes: Why You Need To Know Them What are bimodal failure modes and how to avoid them 23. Is Kafka the Key? The Evolution of Highlight's Ingest Building a distributed message processing queue using Apache Kafka requires some thought. We walk through how we process thousands of large messages per second. 24. What Are Conflict-free Replicated Data Types (CRDTs)? In a world where most of the apps that we use on the internet are collaborative in nature, conflicts in data are common. Is there a way to avoid it? 25. The Client Server Model: Breaking Free with IPFS This is a condensed version of this post on the Client-Server Model. We use a client, such as a web-browser or chat app, and communicate with a single entity. 26. The Realtime API Family [A Deep Dive] Looking to 2020 and beyond, the proportion of data produced and consumed in realtime is growing exponentially. IDC predict that by 2025 1/3 of all data produced globally will be realtime. 27. How to Use the Whiteboard in System Design Interviews You'll likely be asked some system design questions when interviewing at many tech companies today. Here's how to use the whiteboard to answer them effectively. 28. My System Design Interview Checklist in 8 Simple Steps That dreaded system design interview. I remember the first system design question I was asked. “Design WhatsApp”, he said. I didn’t know where to start!  I was a fresher. Data structures and algorithms were the only things I knew. I am sure you can guess how that interview went. Then after enough research, I made myself a checklist of components, of sorts, to navigate me through my next system design interviews. And I sh*t you not, it works! 29. Interplanetary Versioned File System IPVFS: A light weight version control system for files on the Interplanetary File System. 30. How to Launch Your Own Blockchain: Mainnet Launch [Part VI] I   II   III   IV   V 31. Kafka Storage Design  -  Making File Systems Cool Again! What makes Kafka so Fast? A Deep Dive into Kafka Storage Internals. 32. Choosing Between Enterprise Messaging and Event Streaming For Your Architecture Comparing Enterprise messaging and event streaming across different dimensions to see  how they excel at solving different but related messaging problems 33. How to Launch Your Own Blockchain: Game of Validators [Part V] In some blockchains validators are pre-defined, in others independent teams and individuals  own the nodes. Game-based approach is an excellent way to choose validators wisely. 34. Producers Guarantees for Event-driven Development Instead of consumers' delivery guarantees in message queues, in this article, we're going to talk about producers' guarantees in distributed systems. 35. Build a Self-Hosted Online Second Brain Like Evernote How to use Platypush and other open-source tools to build a notebook synchronized across multiple devices 36. Microservice Observability Patterns [Part 2] In my previous article, I talked about the importance of logs and the differences between structured and unstructured logging. Logs are easy to integrate into your application and provide the ability to represent any type of data in the form of strings. 37. How to Launch Your Own Blockchain: Mainnet Support The main network is running, transactions are being sent, the wallet is working. What's next? In this article, we will consider how to maintain a network and solve its problems. 38. 5 Books You Can Read to Boost Your Computer Science Knowledge Make use of your downtime and read something good! 39. Distributed Governance and Anonymity: A Bad Idea One of the big debates in the Genesis DAO started by DAOstack was the question of anonymity. Should people be able to make proposals and ask for budgets without providing a real identity? 40. Why Use Kubernetes for Distributed Inferences on Large AI/ML Datasets This blog provides you with some strong rationale to use Kubernetes on large AI/ML datasets on which distributed inferences are performed. Loop in for more. 41. Exploring the CAP Theorem: The Ultimate Battle of Trade-Offs in Distributed Systems Consistency, availability, and partition tolerance are the three musketeers of distributed systems. They ensure that your system operates correctly. 42. Dealing With Replication, High-Performance Queries And Other Data Platforms Challenges Many products solve for global issues and load balancing but unless a platform is built from the ground up with the necessary backbones, it becomes a nightmare to manage. 43. An Introduction to Blockchain + NoSQL Databases Both NoSQL databases and modern Blockchain ledgers benefit from a set of common principles. When they are both implemented for an application, a lot can be accomplished as the platforms can complement each other. 44. Efficient Model Training in the Cloud with Kubernetes, TensorFlow, and Alluxio Open Source This article presents the collaboration of Alibaba, Alluxio, and Nanjing University in tackling the problem of Deep Learning model training in the cloud. Various performance bottlenecks are analyzed with detailed optimizations of each component in the architecture. This content was previously published on Alluxio's Engineering Blog, featuring Alibaba Cloud Container Service Team's case study (White Paper here). Our goal was to reduce the cost and complexity of data access for Deep Learning training in a hybrid environment, which resulted in over 40% reduction in training time and cost. 45. Accelerating Analytics by 200% with Impala, Alluxio, and HDFS at Tencent This article describes how engineers in the Data Service Center (DSC) at Tencent PCG (Platform and Content Business Group) leverages Alluxio to optimize the analytics performance and minimize the operating costs in building Tencent Beacon Growing, a real-time data analytics platform. 46. Great Options for Generating Passive Income With Ethereum 2.0 In this article, we explore custodial, semi-custodial, and non-custodial staking services and review the industry's leading non-custodial protocols for ETH 2.0 47. Distributed Governance and Anonymity: A Bad Idea One of the big debates in the Genesis DAO started by DAOstack was the question of anonymity. Should people be able to make proposals and ask for budgets without providing a real identity? 48. Introduction To Distributed Tracing Pattern A distributed architecture brings in several challenges when it comes to operability and monitoring. Here, one may be dealing with tens if not hundreds of microservices, each of which may or may not have been built by the same team. 49. Alluxio Accelerates Deep Learning in Hybrid Cloud using Intel’s Analytics Zoo powered by oneAPI This article describes how Alluxio can accelerate the training of deep learning models in a hybrid cloud environment when using Intel’s Analytics Zoo open source platform, powered by oneAPI. Details on the new architecture and workflow, as well as Alluxio’s performance benefits and benchmarks results will be discussed. The original article can be found on Alluxio's Engineering Blog. 50. Revising The Basics of Blockchain Part 1: Introduction A very Beginner-friendly Guide to Understanding the Blockchain (Part 1: Introduction to Blockchain Technology) 51. Blockchain as a Distributed File System: How Would It Work? In this article, we propose a blockchain network that acts as a centralized append-only distributed file system (DFS) such as Hadoop Distributed File System (HDFS) or Google File System (GFS). The potential advantages of blockchain as a distributed file system (BaaDFS) include: 52. AvionDB Introduction: A MongoDB-like Distributed Database In the past few months we have been getting this question a lot: 53. Serving Structured Data in Alluxio This article introduces Structured Data Management (Developer Preview) available in the latest Alluxio 2.1.0 release, a new effort to provide further benefits to SQL and structured data workloads using Alluxio. The original concept was discussed on Alluxio’s engineering blog. This article is part one of the two articles on the Structured Data Management feature my team worked on. 54. AvionDB: A MongoDB-like Distributed Database In the past few months we have been getting this question a lot: 55. Step-By-Step Tutorial To Deploy A Distributed Node.js App At The Edge In this tutorial, we are going to demonstrate how to deploy a distributed Node.js app at the Edge using Section's Edge Compute Platform. 56. Serving Structured Data in Alluxio: Example In the previous article, I described the concept and design of the Structured Data Service in the Alluxio 2.1.0 release. This article will go through an example to demonstrate how it helps SQL and structured data workloads. 57. 10 Steps To Digital Transformation While Simultaneously Cutting Costs Companies Must Transform Or Else (Photo by eelnosiva on Adobe) 58. A Quick Primer on Everything You Need to Know About Blockchain Blockchain is a term utilized to represent distributed ledger technology. 59. How to Choose the Right Database for your Requirements Imagine — You’re in a system design interview and need to pick a database to store, let’s say, order-related data in an e-commerce system. Your data is structured and needs to be consistent, but your query pattern doesn’t match with a standard relational DB’s. You need your transactions to be isolated, and atomic and all things ACID… But OMG it needs to scale infinitely like Cassandra!! So how would you decide what storage solution to choose? Well, let’s see! 60. Serving Structured Data in Alluxio: Example In the previous article, I described the concept and design of the Structured Data Service in the Alluxio 2.1.0 release. This article will go through an example to demonstrate how it helps SQL and structured data workloads. 61. Did you know you could write scripts with webservices? You do now. There's a big hole in reusability on the web. An entertaining statistic - not the most accurate but still fascinating - was generated by Simon Wardley from a Twitter poll. He calculated that basic user registration had been written over a million times. The average developer had written user registration about 5 times. I'm sure you've built it a few times yourself. 62. How to Route Traffic Between Microservices During Development Route traffic between microservices during development with this one simple trick that will save you setup time and, well, headache. 63. Rethinking Programming: The Network in the Language With the emergence of microservices architecture, applications are developed by using a large number of smaller programs. These programs are built individually and deployed into a platform where they can scale independently. These programs communicate with each other over the network through simple Application Programming Interfaces (APIs). With the disaggregated and network distributed nature of these applications, developers have to deal with the Fallacies of Distributed Computing as part of their application logic. 64. Embrace the Chaos, Randomness and Uncertainty on Your Path to Engineer Better Software Chaos engineering is the practice of deliberately injecting an error into a system, in order to observe, in vivo, the consequences. 65. #NoBrainers: You Need A High Performing Low Latency Distributed Database Certain industries greatly benefit from high-performing, low-latency, geo-distributed technologies. 66. Data Location Awareness: The Benefits of Implementing Tiered Locality Tiered Locality is a feature led by my colleague Andrew Audibert at Alluxio. This article dives into the details of how tiered locality helps provide optimized performance and lower costs. The original article was published on Alluxio’s engineering blog 67. Decentralized Databases Reduce Data Latency With Geographically Distributed Data Centers Latency is caused by offloading processing from an app to an external server. But what if there was a solution to the monolithic common single-cloud geography? 68. Kafka Basics and Core Concepts: Explained In this article we will cover the core concepts of Kafka and also will touch upon a few of the advanced topics. 69. Delta Compression: Diff Algorithms And Delta File Formats [Practical Guide] A diff algorithm outputs the set of differences between two inputs. These algorithms are the basis of a number of commonly used developer tools. Yet understanding the inner workings of diff algorithms is rarely necessary to use said tools. 70. Working Towards a Sustainable Ecosystem Beyond Tokenization Many industries are on the brink of the next technological revolution in record keeping. Ten years after Bitcoin made its splash, we’re seeing many inspired by some of the benefits promised by the technology outside of the money use case: 71. How To Optimize Large S3 API Costs using Alluxio This is a guest blog contributed by datasapiens’ Juraj Pohanka, Koen Michiels and Sam Gilbert. This article described how engineers at datasapiens brought down S3 API costs by 200x by implementing Alluxio as a data orchestration layer between S3 and Presto. 72. HarperDB is More Than Just a Database: Here's Why HarperDB is more than just a database, and for certain users or projects, HarperDB is not serving as a database at all. How can this be possible? 73. Enhancing Bitcoin's Transaction Privacy With Bloom Filters Bloom filters are a data structure developed by Burton Howard Bloom in 1970. You can see them as a hash tables’ cousin. They also allow for efficient insert and lookup operations while occupying very little space 74. Building Microservices With Nameko What is Nameko?
Nameko is a framework for building lightweight, highly scalable and fault-tolerant service in Python. 75. Connecting the Dots: FLP, BFT & Consensus Algorithms When learning about blockchain consensus algorithms and distributed systems in general, you will inevitably come across terms like FLP impossibility and Byzantine fault tolerance. While there is plenty of literature on these subjects, it often suffers from a narrow focus, failing to explain the connections and relationships between them. Furthermore, much of the existing literature gives either too much or not enough technical detail — I found this to be especially true when learning about consensus algorithms like the proof of stake. 76. Challenges and Opportunities of Serverless in 2021 Going serverless has many benefits, but it's not without its issues. Learn about the most common serverless challenges & how to overcome them. 77. Block-Less Blockchains: Understanding Directed Acyclic Graphs or DAGs Blockchain 3.0 will be upon us very soon, With Ethereum and so many other blockchain networks fighting for this, can directed acyclic graphs be the future? Thank you for checking out the 77 most read stories about Distributed Systems on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

77 Stories To Learn About Distributed Systems

Hey Hackers! I’m Konstantin Sokolov and I’m the CTO of Cape of Good Code. First of all, a huge thank you to the HackerNoon community and staff for nominating me for a 2021 Noonies award! I’ve been nominated in the following category, please do check out the award page and vote: CONTRIBUTOR OF THE YEAR - PSYCHOLOGY: https://noonies.tech/award/2021-hackernoon-contributor-of-the-year-psychology As someone in the software quality industry, I believe that the most exciting technology of the present is automated software analysis because “software is eating the world” as Marc Andreessen said in 2011 and in the meantime has eaten the world already. Learn more about my thoughts and opinions on software analysis and my journey in the tech industry via the interview below. 1. What do you do and why do you do it? (tell us your story) I am the co-founder of Cape of Good Code. We have developed a novel tool for software quality analysis and technical debt detection. The tool is called DETANGLE®. We use it in software audits and software due diligence projects to provide all stakeholders with actionable knowledge about areas of the code base that need improvement. I co-founded Cape of Good Code because I believe that software engineering can be much smarter and cheaper if more data-based insights are incorporated into the decision-making processes. So far, the domain has been too much about heated,  subjective discussions and blaming each other. I also spend a lot of time with my kids and try to be more like them. Because that in itself is a hell of a lot of joy. And by the way, far more important than software development. 2. Tell us more about the things you create / write / manage / build! My children have often asked me to tell them stories. But I had difficulties in thinking of something again and again, so I just tried to retell something that I love and know myself well. So in the meantime, I have already written two child-friendly “Terminator” tales for them. Professionally, I write about software engineering from time to time. Most of my time, however, is spent on managing our analysis-engine development team, on code reviews, and also writing code (although less and less). We are in the process of transforming DETANGLE® from a pure expert tool into a SaaS solution and making it available to a wide range of users. The USP of DETANGLE® is that it analyzes relationships between features & code and among features over the whole lifetime of the project and counts technical debt based on the modularity of features rather than just modularity of code. Analyzing relationships between features, rather than just between programming language artifacts, allows for more purposeful insights about the maintainability/extensibility of a system. Another major point about DETANGLE® is that it aims to support software stakeholders in performing a holistic root-cause analysis down from its own DETANGLE®-specific KPIs to architecture metrics AND code, test, and documentation quality metrics being integrated from other state-of-the-art tools. Last but not least, a further large field that we cover through our analyses are people in software development projects. For example, we have approaches to detect early indicators of burnout. Which, unfortunately, is becoming more and more of a problem. We also recently wrote about this on Hackernoon: Why Burnout Syndrome Is More Common Among Software Developers 3. How did you end up on your current career path? Do you like it? When I was 6 or 7 years old, I saw a computer at my cousin’s house for the first time. He also played on it from time to time, but I was always interested in the part where you write something down and then something happens automatically. I also thought the word "Basic" was cool (I mean the programming language). That way my path was predetermined pretty early by my childhood impressions, so I didn't have to make any great conscious decisions about it until today. It was always clear to me that I wanted to become a programmer, so it went and went and went… After graduating in Computer Engineering at the RWTH Aaachen University in 2011 I became self-employed as a software developer. In 2013 I met Egon at Siemens Corporate Technology in Munich, where he was working on novel history-based approaches for automated software quality analysis. After leaving Siemens, we founded Cape of Good Code in 2018.  For me personally, it was not a big decision. It was the most natural thing to continue with what I saw a lot of  potential in. We picked the most promising ideas, combined them with many innovative features, and implemented a totally new and unique analysis tool from scratch. In the beginning, Cape of Good Code was supported by the Bavarian funding program for “Technology oriented startups” (BayTOU). In the meantime, we are proud to have again received a 6-digit grant from the funding program for the implementation of an automated refactoring recommendation system. I think it's quite a big honor for our work. Do I like it? Well, of course, otherwise I wouldn't be doing it. Nobody forces me. I've never been permanently employed and that's why I'm not afraid of losing my job, I guess. Do I always enjoy every single second of it? Of course not. I don't know of any activity where that could be true. When you found a startup, you always have to operate on the edge of the available resources. And one piece of joyful news has to be bought with possibly ten disappointments. But it's actually a good thing because then you really enjoy it. 4. What tech are you most excited or passionate about right now and why? Well, by now it should come as no surprise that I am interested in all sorts of things in the field of automated software analysis. In particular, I'm curious to see what the coding of the future will look like, where algorithms can not only detect weaknesses but also make more complicated suggestions for improvement on their own. Does it amount to self-programming machines? I don't know. Are we on the way back to “Terminator” again :)? In addition, I have been interested in the functioning of our brain for a year now and have read a lot about it. That's how I came across the cognitive biases. I realized that these also put a lot of obstacles in the way of software development and lead to the fact that we often reject objective data-based facts. This is how the article with the ironic title " " came about, for which I was nominated. I Already Know Where the Problems Are in My Code Beyond that, I find anything to do with "smart mobility" exciting. I'm not a big fan of personal cars in the city (once the kids are older, I hope to get rid of our car too). In my case, it has nothing to do with climate. Car-free spaces bring me joy, that's it. I guess that's why I like going to the mountains and the forest. But I still don't want to move away from the city. The idea that you need to own a thing that weighs a ton and takes up 15 m² of space to get a 70 kg heavy body from A to B sounds a bit absurd to me. And cities are clogged with these. We've gotten used to it, but it won't stay that way. Looking forward to seeing what it will be like with more intelligent car-sharing, public transportation, bicycles, scooters, and other smaller vehicles. 5. What tech are you most worried about right now and why? If I'm honest, I generally don't worry much. Don't get me wrong - it's not as if it is a personal merit of mine. We can hardly consciously influence whether we are afraid of something or not. But this is a quality of mine that I like. Worry, anxiety, and panic are rarely useful and the phenomena one worries about usually do not happen anyway. But don't confuse that with indifference. There are trends that are already a reality, which I consider to be quite dangerous. By this, I mean all the technologies that are leading us to replace real interpersonal interactions with digital ones. Whether it's called "digital dementia" or smartphone addiction doesn't matter. But I am sure that this kind of substitution of real-life with digital life makes us unhappy, although it seems to provide opportunities and satisfaction at the first glance. But that's true for many addictions. 6. If we gave you 10 million dollars to invest in something today, what would you invest in and why? Counter question: What would you like to get back for the 10 million dollars? If it's a gift, I'd be skeptical. We know that lottery winners rarely become happy. But I don't want to be a spoilsport and go along with the thought experiment: I would invest in different things. Part of it, of course, in Cape of Good Code. One part in the startups of friends. One part I would give away to family and friends. And a part I would donate. 7. What are you currently learning? Mountaineering (of course learning by doing :)) To keep my weight permanently (works very well for one year) How to make fire with a tin can And, of course, constantly something in the professional environment. It is not possible to work in IT without constantly learning. A couple of examples from the last month: new design patterns for testability insightful facts about code review smells strategies for brain-friendly training (quite sure, it will improve our software quality training) 8. What’s the best advice you’ve ever given someone? Well, I would be quite an asshole if I didn't pass on the best advice I got myself ;). So see below. 9. What’s the best advice you’ve ever received? “Do what you can, with what you have, where you are”. --Theodore Roosevelt About HackerNoon’s 2021 Noonie Awards The annual Noonie Awards celebrate the best and brightest of the tech industry, bringing together all who are making the Internet and the world of tech what it is today. Please be sure to , nominate, and vote for the people and companies who you think are making the biggest impact on the tech industry today. check out our award categories The 2021 Noonies are sponsored by: , , and . Thank you so much to these sponsors who are helping us celebrate the accomplishments of all our nominees. bybit Dottech Domains Avast

Car-Free Spaces Bring Me Joy with Noonies Nominee Konstantin Sokolov

Summary: Why is burnout so common? Burnout symptoms are often a result of suboptimal procedures and working conditions. They are signs of a serious and protracted illness. Especially, burnout of software developers is more widespread than one might suspect. It hits companies via increased employee turnover, reduced team productivity, and above-average sick leave just as hard as the affected employees. Amongst many other reasons, “meaningless” work, frequently changing priorities, unrealistic goals, deadlines, and overwork are disproportionately often named as causes. Early indicators for these most important burnout causes can be identified from the work on the software code with the DETANGLE Analysis Suite. With these analysis results, project leaders/-management have information at hand to identify health-threatening working conditions of their developers at an early stage and can initiate countermeasures timely. By regularly applying these analyses, additional information regarding the trend of the relevant key metrics will become available. Over time it becomes increasingly easy to narrow down the causes of a developer’s burnout and to avoid it before the individual and as a consequence, the organisation is seriously impacted. Why are software developers so often exposed to burnout symptoms? Burnout is a serious and protracted illness.  There is still no clear definition and diagnosis for it. Often, it is confused with depression. A helpful description can be found, for example, at Burnout Prevention for Software Developers [1]: Burnout is one of those things you don’t notice until you already have it. But people with symptoms of burnout are people who are – generally always working, always on they feel like they can never take a break or have downtime. – Abby Kearns, Cloud Foundry The . The following list of some symptoms are consistently cited in How Not to Burnout: Guide for Software Developers [2]: consequences of burnout are severe for the individual developer, the team, and the company “Becoming cynical or overly critical at work” “Lack of energy and concentration with no evident cause” “Constant fatigue” “Procrastinating on tasks that you used to do enthusiastically” “Feelings of dread, apathy, and being out of control” “Lowered productivity” “Minor to major anxiety” “Outbursts of anger” One could argue that burnout happens in every profession. But software engineering is particularly predestined for it. And there is a reason for that. Software engineering has no limits. Work is not defined by a set number of hours per day, but by optimistic and sometimes arbitrary management deadlines. As one senior tech CEO told me, “I knew there was no chance of meeting my deadline, but I just wanted to get the engineering team to work faster.” In addition, understaffing of project teams is  common because recruiting developers is difficult – and expensive. [3] The publication Beware Burnout [3] lists the following software development-specific reasons for an increased probability to get burnout: “Unclear or rapidly changing direction” (A), “Bus factor is low” (B), “Programming is isolating” (D), “Draining work of maintenance” (C), “Impatient or ungrateful users” (in the case of open source development) “Coding for others” Other publications such as 7 Reasons why programmers burn out [4] and Only You Can Prevent Tech Burnout [5] list quite similar and further reasons. The various reasons the different authors find causal for increased susceptibility for burnout can be consolidated into four clusters: Category Example Lack of focus (A) Too many varying tasks. The developer e.g. works on the development of many new features but just a few will be completed. Or the developer constantly switches between maintenance/bug fixing and feature development often without finishing previous tasks. High workload and/or unbalanced distribution of tasks (B) High workload for some top developers, as only they have the skill to handle complex parts of the software. A single developer has to coordinate the work of many (new) developers. Unrealistic deadlines coupled with notorious understaffing. Significant share of “non-value” work (C) A high share of maintenance work and a low share of the development of new features/innovations becomes frustrating in the long run. Bad collaboration within and between development teams (D) Lack of onboarding/training of new colleagues. Experienced developers who do not delegate or share their knowledge. Lack of communication about work progress and best practices within the team or between teams. Table 1: Work condition categories and their influence on burnout of software developers Of course, it also depends on very individual circumstances whether the employee suffers from burnout. But since it is a very serious and long-lasting disease, it is even more important to measure the known causes and their impact on the individual developer as early as possible and to implement prevention concepts. In the following sections, we show that many causes of burnout can be extracted by investigating the work on the software code. Early indicators of burnout are measurable The first step in burnout prevention is to identify indicators that are known or reasonably suspected to be associated with an increased susceptibility for burnout as shown in table 1. For the category clusters A, B, and C, we record the following parameters per developer over time with DETANGLE®: What is the developer’s share of the workload of system maintenance vs. feature development? How many features/user stories does a developer work on simultaneously and what is their effort distribution? How many different source code directories is the developer working on simultaneously? How many different programming languages is the developer working with? Does a developer pose a project risk over a longer period of time due to his relevant and special knowledge, and is she/he aware of it (bus factor)? The analysis of these data gives clear insights about working circumstances that are known to cause an over-proportional amount of employees burdened with burnout syndrome. For example, the higher the individual’s maintenance effort, the lower the proportion of real value-adding work that usually is seen as a satisfying activity (C). The higher the number of features/user stories and the higher the number of source code directories or programming languages, the lower the developer’s focus (A), whereas the Bus Factor also indirectly reflects his workload (B). Figure 1 shows the Bus Factor, i.e. the number of key developers for the Django open-source project. It can be seen that their number has increased from 4 to 7 developers from 2019 to 2020, and about 12% of the developers are considered mission-critical and contribute to the Bus Factor. The loss of one of these developers is always a project risk. Since these key developers also usually have the highest workload and responsibility, they are particularly at risk for burnout. Thus, the Bus Factor is also an early indicator of the number of employees at risk for burnout. If a developer is recorded as a Bus Factor for a longer time, project management should try to rebalance his load and reduce his/her high level of continuous high importance for the project(s). We have already addressed the causes of category D from the previous section (problem of poor cooperation) in several blogs. Under [6] and [7] we have explained that it is not the star soloists, but the team players that matter in order to limit the stress level in the team while still improving productivity and quality. Software Due Diligence – Developers and their Cooperation in Focus The Diffusion of Responsibility Phenomenon Analyzed: Unravel the Truth Conclusion: Developing software is challenging and the risk of burnout is real Developing software is an intellectually challenging process for many brilliant minds. given the challenges and pressure in software development projects. We strongly recommend identifying burnout indicators early on or even better continuously to minimize the risk of employees dropping out for months due to overwork or dissatisfaction. Software companies are, therefore, “people” companies. The risk of burnout is real and present Cape of Good Code has developed an analytical, software-based approach to identify indicators that describe the risk of burnout of an individual caused by working circumstances in software engineering. By using DETANGLE® regularly, . Each indicator gives specific hints of where the stress could come from. This allows project managers to . By speaking with the employee one can definitively clarify how stressful he/she perceives the work circumstances and whether he/she can further handle that stress level. project leaders can gain insight about the work-induced stress level within their team reach out to that employee and discuss individual countermeasures Links [0] Photo by Nataliya Vaitkevich from Pexels [1] Burnout Prevention for Software Developers [2] How Not to Burnout: Guide for Software Developers [3] Beware Burnout [4] 7 Reasons why programmers burn out [5] Only You Can Prevent Tech Burnout [6] Software Due Diligence – Developers and their Cooperation in Focus [7] The Diffusion of Responsibility Phenomenon Analyzed: Unravel the Truth Also published at: https://capeofgoodcode.com/2021/09/10/burnout-syndrome-why-it-hits-software-developers-so-often/

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