Here's a new local event featuring local artists. Come to Cloverdale Bottom Park, 3100-3124 Cloverdale Road, Montgomery on Saturday, Nov. 4, 10 a.m.-4 p.m. for jamming in the park to tunes from Village Green Records and enjoying all the talent.

Go Play Calendar for Nov. 2-8

Operator: Good day, and welcome to the Third Quarter 2023 Zebra Technologies Earnings Conference Call. All participants will be in listen-only mode. [Operator Instructions].

Zebra Technologies Corporation (NASDAQ:ZBRA) Q3 2023 Earnings Call Transcript

GoTo Group posted a narrower loss in the third quarter, bringing Indonesia’s largest tech company closer to breakeven after months of extensive cost cuts.

Indonesia’s GoTo Closes In on Profit Goal After Slashing Jobs

The Top 20 Global Concert Tours ranks artists by average box office gross per city and includes the average ticket price for shows Worldwide. The list is based on data provided to the trade publication Pollstar by concert promoters and venue managers.

Top 20 Global Concert Tours from Pollstar

Amazon Go and its "Just Walk Out" technology is revolutionizing shopping but has also faltered since its launch. Learn more about how it works.

Understanding Amazon Go's tech and expansion into fast shopping

The Pokemon GO Welcome Party research tasks are here, a chance to earn plenty of bonus XP and other rewards to celebrate the mobile game‘s new Party Play update. You can only complete Welcome ...

Pokemon GO Welcome Party research tasks and rewards

At the time of writing, Niantic is investigating a number of known issues with Party Play - the list of which can be found on the Pokémon Go Help Center website. Party Play allows up to four ...

Pokémon Go Party Play, including Party Challenges and Party Power explained

This could include an update to the existing independent school standards guidance to give consideration to sustainability during the transition to a net-zero economy. Commenting on the research, Simon Nathan, Deputy CEO and Head of Policy at the ISC ...

Independent schools need guidance to go net zero

Go Net-Zero Energy Summit is a business event that focuses on practical actions the oil & gas industry can take to accelerate the energy transition. It brings together major energy players ...

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British Columbia Solicitor General Mike Farnworth has introduced legislation that will require the City of Surrey to provide policing with a municipal force in the latest jurisdictional salvo over ...

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Get the most recent info and news about GO-NET on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

GO-NET

Tapping into the Power of AI: Go Mobile's Blueprint for Winning the Battle for Customer Attention Welcome to our latest installment of "Behind the Startup," where we dive into the world of mobile marketing with Andrey Bluemental, Worldwide Managing Director. Discover the innovative strategies and technologies that set this agency apart from the rest, and learn how AI and predictive marketing are revolutionizing the industry. Join us as we explore the future of mobile marketing and uncover the trends that will shape 2023 and beyond. Behind the Startup: Meet Andrey Bluemental, the Mobile Marketing Maestro Taking Businesses to New Heights Hi Andrey Bluemental, great to have you here for our "Behind the Startup" series. What inspired you to create Go Mobile, and how did you get started in the field of global marketing? Ishan Pandey: We can see that there is a constantly growing trend for mobile marketing. That’s why we founded an agency specializing in mobile tools, specifically performance and media. Client requirements are getting stricter in matters of business KPIs, so we started investing in the development of our own technology that would meet this growing trend, and the purpose is to achieve higher effectiveness and automation of marketing. Andrey Bluemental: : Vested Interest Disclosure The author is an independent contributor publishing via our . Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR brand-as-author program How does Go Mobile differentiate itself from other mobile marketing companies in the industry? Ishan Pandey: First off, we use a combination of creativity and technology to achieve maximum performance for our advertising campaigns. Though we place our bets on attracting experts for select tasks, we invest in technologies a lot as well. This way, we guarantee not only a high degree of expertise on the team and excellent client service, but also the efficiency that only technologies can provide. Andrey Bluemental: Secondly, we are more like business partners for our clients than just another marketing agency. Our goal is to make their businesses grow. Can you provide an overview of the services that Go Mobile offers to businesses looking to improve their mobile marketing strategies? Ishan Pandey: Modern digital marketing is a set of activities aimed at promoting a product or service. It may sound easy, but in practice, many entrepreneurs focus too much only on social networks, mobile advertising, or offline activities. This is understandable, since not every business has access to a wide range of on-staff specialists. Our agency employs more than 300 professionals responsible for various domains, including user acquisition (Web + App), advertising strategy & data analytics, retargeting, our own innovative tech solutions like Go NET & Go Predicts, KOL projects, and design. We work in each of these areas with full dedication and the same level of passion. More than so, our AI tools help us perform tasks 24/7. Andrey Bluemental: Can you discuss the technology and tools that Go Mobile uses to help businesses optimize their mobile marketing campaigns? Ishan Pandey: One of our products is the Go NET programmatic platform, developed by our specialists both for internal use and for other marketing agencies. The platform consists of a large toolkit, including instruments for quick setup and launch of new advertising campaigns, support for all types of creatives, predictive tools, contextual targeting, and brand lift methodology. Andrey Bluemental: Another B2B product is our Go Predicts solution that uses predictive analysis to improve the key metrics of ads. With the help of Go Predicts it becomes possible to rank consumers based on their potential business value in the future. This way, companies can focus on the audience that is most attractive to them. How does predictive marketing work? Is it possible to build an accurate marketing strategy and predict the campaign's result in a changing market? Ishan Pandey: Predictive marketing uses advanced data analytics and machine learning algorithms to analyze large amounts of customer data and predict future outcomes. This approach can help businesses identify new opportunities, improve targeting, and optimize marketing campaigns to achieve better results. Andrey Bluemental: The predictive marketing process typically involves several steps, including data collection and preparation, feature selection, model training, and deployment. Data sources can include customer demographics, behavior, and transactional data, as well as external factors like economic indicators and market trends. That being said, predictive marketing can be a powerful tool for businesses to optimize their marketing strategies and improve their chances of success on the broader market. By leveraging the latest technologies and techniques, businesses can gain valuable insights into their customers' behavior and preferences, and make data-driven decisions that help them attain better results. How does Go Mobile help businesses measure the success of their mobile marketing efforts, and what kind of metrics do you track? Ishan Pandey: We put a lot of emphasis on measuring the success of marketing efforts, since that is an integral part of delivering great quality of service. Our team delivers regular reports about ad campaign performance for each client, holds regular meetings to stay tuned with the clients’ team and discuss every aspect of the strategy, campaign optimization, and hypothesis testing. We share our expertise and help clients understand which marketing tools and approaches can grow their business and what could reduce marketing effectiveness. Andrey Bluemental: As for metrics, we work with any of them — CPI, CPA, CAC, LTV and classic CPC and CPM, as well as business metrics like the number of new clients, retention rates, and others. What kind of customer support and resources does Go Mobile provide to its clients? Ishan Pandey: We assemble an individual team for every client based on the company’s goals and objectives. The team usually includes a media buyer, personal account manager, strategist, creative, finance and legal teams. Andrey Bluemental: We also use our native technologies — a creative approval system and real-time dashboards customized for every client. The technology helps us collaborate with clients effectively and transparently, doing it like business partners, not on a client and a performer basis. How does Go Mobile stay up-to-date with the latest trends and best practices in mobile marketing? Ishan Pandey: In marketing, you are always in need of testing a new hypothesis. It relates to sources of traffic, marketing tools, new strategies and approaches, design, metrics, and so in. In some way, staying up-to-date with trends and best practices is our job. That is why we attend industrial conferences, organize webinars and meet-ups, and run collaborations with other agencies. All in the name of staying on par with global practices and accumulating experience. Andrey Bluemental: I also believe that the community plays an important role in improving the quality of products and creating new ones. GoMobile has its own digital community. We resort to our LinkedIn group to share experiences with marketing experts and thus propel ourselves to the next level with every acquired feedback. What tools are most effective for companies that seek to increase product sales? Has anything changed in the last 2-3 years? Ishan Pandey: The trend is apps nowadays, so it’s important to create connections between the web and mobile in terms of the target audience, communication channels, budget allocation and traffic sources for achieving more efficient business growth. Andrey Bluemental: The personalization of advertising has reached a new level and it is becoming more challenging to achieve that level due to the phasing out of cookies. Advanced analytics and an understanding of user behavior thus come to the forefront as the countermeasure. Businesses collect user information through their products and create more cases of real-time marketing — when marketing strategies adjust to the current agenda and news backgrounds, applying them in the favor of the brands. Two or three years ago, companies couldn't use AI and chatbots to improve customer service and increase their sales. Today, these tools are must-haves. Tools such as co-op websites and social networks remain unchanged, since they are still the first point of contact with potential clients, so the site must be optimized, and social networks must be filled with useful content and focus on consumer interests. What are your thoughts on the current status of artificial intelligence, and how do you see it evolving in the coming years? Ishan Pandey: I would say that artificial intelligence (AI) is a game-changing technology that has already made a significant impact on the marketing industry. AI has enabled us to automate many repetitive tasks, analyze large amounts of data, and provide personalized recommendations to customers, all of which have helped improve marketing efficiency. Andrey Bluemental: In the coming years, I believe that AI will continue to evolve and become even more sophisticated. We will see more businesses adopting AI-powered solutions, such as personalized chatbots that can provide a more human-like experience, and AI-powered recommendation engines for analyzing customer data to deliver hyper-personalized content and product offers. What will be the marketing trends in 2023? Do you advise your clients to use tools like ChatGPT? What should companies pay attention to if they want to win the battle for customer attention? Ishan Pandey: The key to surviving through 2023 is using the available marketing channels effectively. I expect that advertising will become more personalized, and video content will continue to be a reliable format for offering goods and services. Also, with the proliferation of smart speakers, voice search will be gaining prominence. The growing commitment of consumers to environmentally friendly products and production methods will also play a major role in shaping demand. Andrey Bluemental: Tech development is advancing at a rapid pace, but we see that truly impressive results can be achieved only through the collaboration of humans and AI. For example, ChatGPT is really changing the world, but it can solve real tasks only once very strict specifications have been provided. It’s just a system that belches out random results without the involvement of human expertise on the input end. The AI needs to be set up and applied correctly to be of maximum use and turn into a significant competitive advantage,  one that would allow a business to earn more. Don’t forget to like and share the story! Image credits: MidJourney.

Predictive Marketing: Crystal Ball of Digital Advertising Unveiled by Go Mobile's Andrey Bluemental

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review. Cities with tie votes will be updated to have two winners!) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement series Here are the winners in the : Asia region Top Startup Cities in East Asia Seoul The Startup of the Year in is with 377 votes! Seoul dable Central is the Startup of the Year! It came out ahead with 121 votes. UpNow Central Sheung Wan came out as the Startup of the Year in with 154 votes. Votee Sheung Wan Tokyo The Startup of the Year in is with 41 votes! Tokyo ACES Wan Chai The Startup of the Year in is with 54 votes! Wan Chai Zetl Osaka, Japan In , is the winner! Osaka Nanophoton Taiwan came out as the Startup of the Year in ! Tico Taiwan Dongcheng, China In , is declared the Startup of the Year! Dongcheng Waiju Taipei came out as the Startup of the Year in ! Tico Taipei Akasaka In , is the winner! Akasaka WAKUWAKU Chuo In , is declared the Startup of the Year! Chuo GO-NET Ginza came out as the Startup of the Year in ! Netyear Ginza Kanazawa In , is the winner! Kanazawa Granzella Minami-aoyama In , is declared the Startup of the Year! Minami-aoyama Tokyo6 Entertainment Shibuya came out as the Startup of the Year in ! Hupro Japan Shibuya Toranomon In , is the winner! Toranomon Small Worlds Toshima In , is declared the Startup of the Year! Toshima Altplus Guangzhou, China came out as the Startup of the Year in ! Leyaoyao Guangzhou Hong Kong, Hong Kong In , is declared the Startup of the Year! Hong Kong Episode Six Kunming In , is the winner! Kunming Green A Sapporo In , is declared the Startup of the Year! Sapporo Polar Star Space Shirokanedai came out as the Startup of the Year in ! Nupp1 Shirokanedai Wuhan In , is the winner! Wuhan CSICEE Baoan, China In , is declared the Startup of the Year! Baoan Jumper Baoshan, China In , is declared the Startup of the Year! Baoshan Renren Games Chengdu, China came out as the Startup of the Year in ! Ju You Xi Chengdu Fujisawa, Japan In , is the winner! Fujisawa Scohia Pharma Fukuoka, Japan In , is declared the Startup of the Year! Fukuoka Kyulux Haidian, China came out as the Startup of the Year in ! 51vv Haidian Hongkou, China In , is the winner! Hongkou Kidstone Jiading, China In , is declared the Startup of the Year! Jiading IMRobotic Kawasaki, Japan came out as the Startup of the Year in ! QD Laser, Inc. Kawasaki Kyoto, Japan In , is declared the Startup of the Year! Kyoto Hacarus Minato, Japan In , is the winner! Minato Visionary Fun Nagoya, Japan came out as the Startup of the Year in ! Prodrone Nagoya Ningbo, China The winner in is . Ningbo OlymTech Corporation Aomori In , is declared the Startup of the Year! Aomori Forte Japan Bandai-cho In , is the winner. Bandai-cho Delta-Fly Pharm Changchun In , the Startup of the Year is . Changchun Kaidi Animation Fuchu In , is declared the Startup of the Year! Fuchu TMS Fukuoka-shi The winner in is . Fukuoka-shi SkyDisc Fukushima In , the Startup of the Year is . Fukushima Matsuri Technologies Gotanda In , is the winner. Gotanda Basset Hachioji In , is declared the Startup of the Year! Hachioji Adriakaim Harbin The winner in is J . Harbin oining Technology Iwaki In , is the winner. Iwaki Tao Engineering Izumo In , the Startup of the Year is . Izumo PuREC Kagoshima In , is declared the Startup of the Year! Kagoshima Farmers Support Kamakura In , the Startup of the Year is . Kamakura KAYAC Kami-meguro The winner in is . Kami-meguro Buzzreach Kanagawa In , is the winner. Kanagawa LoiLo Kashiwa In , the Startup of the Year is . Kashiwa Intelligent Surfaces Kita In , is declared the Startup of the Year! Kita Ax Robotix Kobe The winner in is . Kobe Coconomi Koriyama In , the Startup of the Year is . Koriyama Tocoton Kumamoto In , is the winner. Kumamoto Bloom Technology Kunitachi In , is declared the Startup of the Year! Kunitachi Trys Liaocheng The winner in is . Liaocheng Jinzheng Animation Minami In , is declared the Startup of the Year! Minami ATLAB Miyazaki In , is the winner. Miyazaki Caster Nagano In , is declared the Startup of the Year! Nagano Precision Forestry Nagaoka The winner in is . Nagaoka Plant Form Nihombashi-hamacho In , the Startup of the Year is . Nihombashi-hamacho Shizen Energy Niigata In , is declared the Startup of the Year! Niigata UniBio Japan Nishi-shinagawa In , is the winner. Nishi-shinagawa Play Heart Okayama In , is the winner! Okayama Arch Farm Okinawa In , is declared the Startup of the Year! Okinawa BlogNinja Otemachi In , the Startup of the Year is . Otemachi beBit, Inc Qingdao Shi In , is the winner! Qingdao Shi Manyoubang Quanzhou In , is declared the Startup of the Year! Quanzhou KungFu Animation Group Roppongi The winner in is . Roppongi Holo-X Saitama In , the Startup of the Year is . Saitama GameTector Sendai In , is the winner! Sendai Sendai Smart Machines Setagaya In , is declared the Startup of the Year! Setagaya Skyestate Shenzhen In , the Startup of the Year is . Shenzhen Aiator Shinjuku In , is declared the Startup of the Year! Shinjuku Scalar Shizuoka In , is the winner! Shizuoka PiPhotonics Sumida The winner in is . Sumida Holotch Tachikawa In , the Startup of the Year is . Tachikawa PlusOne Takamatsu In , is declared the Startup of the Year! Takamatsu Ken Robotec Tokushima In , is the winner! Tokushima DennoKotsu Toyonaka In , the Startup of the Year is . Toyonaka FISH BIOTECH Tsukuba In , is declared the Startup of the Year! Tsukuba WARPSPACE Wakayama In , the Startup of the Year is . Wakayama 4D Sensor Xiangzhou In , is the winner! Xiangzhou ALLiN Edutech Group Xianyang The winner in is . Xianyang TONLY Xiaoshan In , is declared the Startup of the Year! Xiaoshan GONGHUI Yamaguchi In , the Startup of the Year is . Yamaguchi Archis Yangpu The winner in is . Yangpu Tmxmall Yau Tsim Mong In , is the winner! Yau Tsim Mong Airnugget Yeoksamdong In , the Startup of the Year is . Yeoksamdong WizSchool Yichang In , is declared the Startup of the Year! Yichang Hubei Kento Electronic Yokohama In , is the winner! Yokohama Next Innovation Yubei In , the Startup of the Year is . Yubei Ophiux Network Yueqing The winner in is . Yueqing Yueqing Easythink Media Zhuhai In , is the winner! Zhuhai Aijuba Hongo In , the Startup of the Year is . Hongo Smile Robotics, Inc Admiralty In , is declared the Startup of the Year! Admiralty BUNCH Southern In , the Startup of the Year is . Southern Retykle Yongdungpo In , is the winner! Yongdungpo Push News Taichung In , is declared the Startup of the Year! Taichung Wondercise Cyberport, Hong Kong In , the Startup of the Year is . Cyberport Animoca Brands Hefei, China In , is the winner! Hefei Tsinglink New Territories, Hong Kong The winner in is . New Territories, Hong Kong Zeek Dezhou In , the Startup of the Year is . Dezhou Dezhou Baji Kitakyushu In , is declared the Startup of the Year! Kitakyushu Reif Seongnam In , is the winner! Seongnam EOFlow Yanshi In , the Startup of the Year is . Yanshi CASI Vision Top Startup Cities in South Asia Hyderabad, India The Startup of the Year in is with 962 votes Hyderabad Quixy Lahore, Pakistan is the Startup of the Year! It came out ahead with 186 votes. SmartWindows Lahore Bangalore, India When it comes to , is the Startup of the Year with 210 votes! Bangalore vBridge Hub Pune, India couldn’t be beaten for Startup of the Year in , it won with 129 votes! InfraCloud Pune Jaipur, India The Startup of the Year in is with 166 votes Jaipur Emizen Tech Lucknow, India is the Startup of the Year! It came out ahead with 279 votes. Keeros Superfoods Lucknow Noida, India came out as the Startup of the Year in with 156 votes! Bagisto Noida Mumbai, India When it comes to , is the Startup of the Year with 96 votes! Mumbai Sequretek Sylhet couldn’t be beaten for Startup of the Year in , it won with 122 votes! DataXpie Sylhet Mylapore, India In , is the winner! Mylapore Yalimart Goa, India In , the Startup of the Year is Goa Filter Coffee Delhi, India In , is declared the Startup of the Year! Delhi EkAnek Networks Karachi, Pakistan The winner in is Karachi Bykea Ahmedabad, India In , is the winner Ahmedabad MageComp Dhaka, Bangladesh The winner in is Dhaka SOLshare Islamabad, Pakistan In Islamabad, is declared the Startup of the Year! TAG Gurgaon, India In , the Startup of the Year is Gurgaon ixigo Bengaluru, India In , is the winner! Bengaluru Prakshep Private Limited Haryana, India couldn’t be beaten for Startup of the Year in ! Footprints Childcare Haryana Kolkata, India In , is the winner! Kolkata Wow! Momo New Delhi, India In , is declared the Startup of the Year! New Delhi Rusk Media Indore, India The winner in is Indore Chattar Patar Kormangala In , is the winner Kormangala Sanctum Technologies Ghaziabad came out as the Startup of the Year in Craftfurnish.com Ghaziabad! Mohali In , the Startup of the Year is Mohali DataKund Mysore The Startup of the Year in is Mysore Excelsoft Karnal came out as the Startup of the Year in ! Dunar Karnal Kolhapur In , is the winner! Kolhapur Zanvar Group Patiya In , the Startup of the Year is Patiya Kloud Project Kathmandu In , is declared the Startup of the Year! Kathmandu Vairav Technology Bangalore City, India In is the winner! Bangalore City, PagarBook Ernakulam The winner in is Ernakulam Epixel Solutions Colombo, Sri Lanka couldn’t be beaten for Startup in the Year in MAs Foods Colombo Andheri, India When it comes to , is the Startup of the Year! Andheri DoorMint Kanpur, India came out as the Startup of the Year in ! ServiceWalaa Kanpur Faisalabad In , is the winner! Faisalabad DigiKhata Nasik The Startup of the Year in is Nasik Sahyadri Farms Patna came out as the Startup of the Year in ! Asvin Tech Patna Chennai, India In , is the winner! Chennai Agnikul Cosmos Faridabad, India In , is declared the Startup of the Year! Faridabad UClean Panjim, India The winner in is Panjim TempoGO Ranchi, India In , is the winner Ranchi Osam Dairy Surat, India In , is declared the Startup of the Year! Surat Wishbook Thane, India In , is the winner! Thane Delight Foods Trivandrum, India came out as the Startup of the Year in ! GenRobotic Trivandrum Vijayawada, India In , the Startup of the Year is Vijayawada Eruvaka Technologies Visakhapatnam, India In , Ltd is declared the Startup of the Year! Visakhapatnam Greenline Labs Pvt Ahmadabad In , is the winner! Ahmadabad KiwiQA Services Bandra came out as the Startup of the Year in ! Car Club Bandra Bombay In , is the winner! Bombay Locobuddy Mobile Technology (Sportobuddy) Cochin In , the Startup of the Year is Cochin Tuttifrutti Interactive Gandhinagar In , is declared the Startup of the Year! Gandhinagar Kroop AI Guwahati In , the Startup of the Year is Guwahati GNRC Hospitals Jamshedpur In , is declared the Startup of the Year! Jamshedpur Intelliber Kabul The winner in is Kabul Miracle Shop (Vocinno Technology) Karur In , is the winner Karur Karur Vysya Bank Kochi The winner in is Kochi BestDoc Kozhikode In , is declared the Startup of the Year! Kozhikode OfficeKit HR Ludhiana In , the Startup of the Year is Ludhiana Trendy Beat Network Madhapur In , is the winner! Madhapur Head Digital Works Mangalore When it comes to , is the Startup of the Year Mangalore Hangyo Nagpur came out as the Startup of the Year in ! UPrudence Agro Nagpur Rawalpindi The Startup of the Year in is Rawalpindi Pro Options Marketing Rishikesh came out as the Startup of the Year in ! Descatuk Rishikesh Secunderabad couldn’t be beaten for Startup of the Year in Prakriti Biosystems Engineering Secunderabad Tirupur In , is the winner! Tirupur Tubeknit Fashions Udupi The winner in is Udupi Krishitantra Top Startup Cities in Southeast Asia Singapore, Singapore The Startup of the Year in is with 6556 votes! Singapore Cake DeFi Hanoi, Vietnam is the Startup of the Year! It came out ahead with 683 votes. DeFi For You Hanoi Kuala Lumpur, Malaysia came out as the Startup of the Year in with 109 votes! Trambellir Kuala Lumpur Pasig, Philippines When it comes to , . is the Startup of the Year with 110 votes! Pasig Quickreach Inc Bangkok, Thailand couldn’t be beaten for Startup in the Year in , it won with 60 votes! Perception Codes Bangkok Johor Bahru In , the Startup of the Year is . Johor Bahru AGR1 Bandung, Indonesia In , is declared the Startup of the Year! Bandung Prosa Portugal The winner in is . Portugal SCEMAI Tangerang, Indonesia In , is the winner Tangerang Yummy Corp Jakarta, Indonesia In , is the winner! Jakarta Tokocrypto Dki Jakarta, Indonesia In , is declared the Startup of the Year! Dki Jakarta Limakilo Bangkok Metropolis In , is the winner! Bangkok Meticuly Medan The winner in is ! Medan DIKA Manila, Philippines In , is declared the Startup of the Year! Manila PawnHero Phnom Penh, Cambodia In , the Startup of the Year is Phnom Penh vKirirom Bali In , is the winner! Bali Radius App Penang When it comes to , is the Startup of the Year Penang EasyParcel Surabaya came out as the Startup of the Year in ! Super Surabaya Setiabudi, Indonesia The Startup of the Year in is Setiabudi Chilibeli Cebu City came out as the Startup of the Year in MiCab Cebu City! Jawa couldn’t be beaten for Startup in the Year in DAUR Jawa Ho Chi Minh City, Vietnam In , is the winner! Ho Chi Minh City Pharmacity Selangor, Malaysia is the Startup of the Year! BabyDash Selangor Jakarta Pusat, Indonesia In , is the winner! Jakarta Pusat StickEarn Semarang When it comes to , is the Startup of the Year! Semarang Food Bear Petaling Jaya, Malaysia The winner in is . Petaling Jaya Deemples Kebayoran Baru, Indonesia couldn’t be beaten for Startup in the Year in ! Yogrt Kebayoran Baru Kuningan The winner in is . Kuningan Prinzio Bukit Merah came out as the Startup of the Year in ! DC Alliance Bukit Merah Huai Khwang In , the Startup of the Year is . Huai Khwang AppMan Co.,Ltd Kuta In , is declared the Startup of the Year! Kuta Gringgo Mandaluyong came out ahead as the Startup of the Year! Work Inspire Mandaluyong Midview City In , is the winner! Midview City BioMers Phuket The Startup of the Year in is ! Phuket Sapahn Yangon, Myanmar The winner in is . Yangon Wave Money Denpasar When it comes to , is the Startup of the Year! Denpasar Revasi Nakhon Ratchasima, Thailand The winner in is . Nakhon Ratchasima Siam Lottery co., Ltd Taguig, Philippines In , is the winner! Taguig PayMongo Bogor came out as the Startup of the Year in ! TIRANYX Bogor Senai, Malaysia won as the Startup of the Year. Nutrition Technologies Senai Bekasi Kota couldn’t be beaten for Startup in the Year in ! 8villages Bekasi Kota Top Startup Cities in Middle East Tel Aviv, Israel The Startup of the Year in is with 1,065 votes! Tel Aviv hyro Beirut, Lebanon is the Startup of the Year! It came out ahead with 1,276 votes. Hovi Digital Lab Beirut Riyadh, Saudi Arabia With 350 votes, came out as the Startup of the Year in ! Flicron Riyadh Tel Aviv-yafo, Israel When it comes to , is the Startup of the Year with 167 votes! Tel Aviv-yafo Cymbio Haifa, Israel couldn’t be beaten for Startup in the Year in , it won with 183 votes! Pico Haifa Amman, Jordan In , with 141 votes, is the winner! Amman Edexy Dubai, United Arab Emirates In , the Startup of the Year is with 74 votes. Dubai Ziina Doha, Qatar In , is declared the Startup of the Year! Doha SkipCash Tehran, Iran The winner in is . BeyondBoard AR Tehran Jerusalem, Israel In , is the winner! Jerusalem SolidBlock Rishon Le Zion The Startup of the Year in is ! Rishon Le Zion Passparto Ness Ziona, Israel is the Startup of the Year! Soapy Ness Ziona Kuwait, Kuwait came out as the Startup of the Year in ! Brapper Shop Kuwait Manama, Bahrain couldn’t be beaten for Startup in the Year in ! Doctori Manama Lod, Israel is the winner in ! Phinergy Lod Agudat Israel, Israel When it comes to is the Startup of the Year with [vote ] votes! Agudat Israel, Aqaurius Engines Beersheba, Israel In , the Startup of the Year is . Beersheba Visual Estate Ltd Giv'atayim, Israel In , is declared the Startup of the Year! Giv'atayim WSC Sports Modi'in, Israel The winner in is . Modi'in Loginno Nazareth, Israel In , is the winner! Nazareth AR Guide In Medical Ramat Gan, Israel The Startup of the Year in is . Ramat Gan Datos Health Baghdad When it comes to , is the Startup of the Year! Baghdad Mishwar Khobar In , the Startup of the Year is . Khobar Garage Misgav couldn’t be beaten for Startup in the Year in ! Eden Shield Misgav Sharjah came out as the Startup of the Year in ! Bookends Sharjah Affula In , the Startup of the Year is . Affula eMotion Technologies Bene Beraq, Israel In , is the winner Bene Beraq Reflectiz Caesarea, Israel In , the Startup of the Year is . Caesarea CardiacSense Dubayy In , is declared the Startup of the Year! Dubayy North Ladder Muscat couldn’t be beaten for Startup in the Year in ! iLab Marine Muscat Tirat Carmel In , the Startup of the Year is . Tirat Carmel PassCall Advanced Technologies Hod Hasharon, Israel The winner in is . Hod Hasharon Idomoo Holon, Israel came out ahead as the Startup of the Year! OptimalPlus Holon Jeddah, Saudi Arabia When it comes to , is the Startup of the Year! Jeddah Arabian Combustion Technologies Ramat Hasharon, Israel is the Startup of the Year! Lumen Ramat Hasharon Al Khobar came out as the Startup of the Year in ! Swyft Al Khobar Bet Shemesh In , is the winner! Bet Shemesh Degania Medical Binyamina When it comes to , is the Startup of the Year! Binyamina OncoHost Makkah In , the Startup of the Year is Makkah Scimagine Or Akiva Last but not least, couldn’t be beaten for Startup in the Year in the city of ! WMT Or Akiva More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network The post was written by Kushal Tamrakar and Valerie Ejegi, edited by Hang Ngo. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Asia

Go is a programming language often used for applications in which performance matters. Optimizing your code based on assumptions is not a best practice of course. You need to have insights about your code performance and bottlenecks to be able to optimize it efficiently. What is a profiler? Profiler is a dynamic performance analysis tool that provides critical execution insights in various dimensions which enable resolving performance issues, locating memory leaks, thread contention and more. Go comes with built-in support for profiling! What kinds of profiles can I get? Go has several built in profiles: stack traces of all current Goroutines Goroutine: stack traces of CPU returned by runtime CPU: a sampling of memory allocations of live objects Heap: a sampling of all past memory allocations Allocation: stack traces that led to the creation of new OS threads Thread: stack traces that led to blocking on synchronization primitives Block: stack traces of holders of contended mutexes Mutex: How to get a profile? There are a few ways to create a profile. 1. Using “go test” to generate profile Support for profiling the standard testing package. As an example, the following command runs all benchmarks and writes CPU and memory profile to and : built into cpu.prof mem.prof go -cpuprofile cpu.prof -memprofile mem.prof -bench . test 2. Download live profile using HTTP If you need to have a live profile in a long-running service, package is your ultimate solution. Solely import the package in your code and you are good to go: net/http/pprof _ import "net/http/pprof" The initialization of this package is the reason you need to import it solely. {
	http.HandleFunc( , Index)
	http.HandleFunc( , Cmdline)
	http.HandleFunc( , Profile)
	http.HandleFunc( , Symbol)
	http.HandleFunc( , Trace)
} func init () "/debug/pprof/" "/debug/pprof/cmdline" "/debug/pprof/profile" "/debug/pprof/symbol" "/debug/pprof/trace" As you can see the package initialization registers handlers for the given URL in . These handlers write the profile into a which you can download. Now the only thing you need to do is running a HTTP server with a handler: DefaultServeMux http.ResponseWriter nil { {
		http.ListenAndServe( , )
	}()
} func init () go func () ":1234" nil Note that if you already run your http server with , you don’t need to run another server and profiles are available on your server. DefaultServeMux Now, you can download live profile data from the URL. /debug/pprof/ 3. Profiling in code Using , You can also profile directly within the code. For example you can start a CPU profile using and then stop it by . Now you have the CPU profile written to the given . runtime/pprof pprof.StartCPUProfile(io.Writer) pprof.StopCPUProfile() io.Writer But wait, there is an easier option. has developed a package named which can make profiling easy as pie. First you have to get the package using following command (or using Go modules): Dave Cheney profile go get github.com/pkg/profile Then you can use it like this: { profile.Start(profile.ProfilePath( )).Stop() } func main () defer "." // do something Above code will write CPU profile into in working directory. The default has been set to CPU profiling but you can pass options to to be able to get other profiles as well. cpu.pprof profile.Start() profile.Start(profile.CPUProfile).Stop() profile.Start(profile.GoroutineProfile).Stop() profile.Start(profile.BlockProfile).Stop() profile.Start(profile.ThreadcreationProfile).Stop() profile.Start(profile.MemProfileHeap).Stop() profile.Start(profile.MemProfileAllocs).Stop() profile.Start(profile.MutexProfile).Stop() // CPUProfile enables cpu profiling. Note: Default is CPU defer // GoroutineProfile enables goroutine profiling. // It returns all Goroutines alive when defer occurs. defer // BlockProfile enables block (contention) profiling. defer // ThreadcreationProfile enables thread creation profiling. defer // MemProfileHeap changes which type of memory profiling to // profile the heap. defer // MemProfileAllocs changes which type of memory to profile // allocations. defer // MutexProfile enables mutex profiling. defer How to use a profile? So we have collected the profile data, what now? is a tool for visualization and analysis of profiling data. It reads a collection of profiling samples in format and generates reports to visualize and help analyze the data. It can generate both text and graphical reports. pprof profile.proto All of the ways that mentioned above are using under the hood and this package writes runtime profiling data in the format expected by the pprof visualization tool. runtime/pprof Write A Simple Code To Profile For a better understanding, I’ve written the below code to profile. It is a simple HTTP server which handles requests on URL. Every request comes in, the function will declare a and create a child Goroutine at line 16. The child will decode the given JSON log within the and if it was successful it does a time consuming (~400 millisecond) write and then sends to . Meanwhile the function blocks on select statement (line 27) until either when the child sends the result to (line 24) or when a timeout happens (line 30). /log logHandler chan int Request.Body http.StatusOK ch logHandler ch ( _ ) {
	http.HandleFunc( , logHandler)
	http.ListenAndServe( , )
} {
	ch := ( ) {
		obj := ( [ ] ) err := json.NewDecoder(r.Body).Decode(&obj); err != {
			ch <- http.StatusBadRequest } time.Sleep(time.Duration(rand.Intn( )) * time.Millisecond)
		ch <- http.StatusOK
	}() { status := <-ch:
		w.WriteHeader(status) <-time.After( * time.Millisecond):
		w.WriteHeader(http.StatusRequestTimeout)
	}
} import "encoding/json" "math/rand" "net/http" "net/http/pprof" "time" func main () "/log" ":8080" nil func logHandler (w http.ResponseWriter, r *http.Request) make chan int go func () make map string float64 if nil return // simulation of a time consuming process like writing logs into db 400 select case case 200 I’ve compiled and run the code and have sent some loads to it using . Here is the output: hey Summary:
  Total:        0.8292 secs
  Slowest:      0.2248 secs
  Fastest:      0.0039 secs
  Average:      0.1574 secs
  Requests/sec: 241.1882Latency 

distribution:
  10% 0.0409 secs
  25% 0.1143 secs
  50% 0.2007 secs
  75% 0.2013 secs
  90% 0.2093 secs
  95% 0.2187 secs
  99% 0.2245 secsStatus code 

distribution:
  [200] 87 responses
  [408] 113 responses in in in in in in in pprof Basics After writing, running, and sending load to our service, it is time to run the pprof tool on the profile of the service to see which functions were the most consuming ones during the load. Install pprof Tool You can use command or install to use it directly. go tool pprof pprof go get -u github.com/google/pprof Run pprof On Interactive Mode Now let’s run pprof on allocated objects using the following command: pprof -alloc_objects http://:8080/debug/pprof/allocs This will open a simple interactive shell that takes pprof commands to generate reports. Now enter the command , the output will be the top memory consumers. top Dropped Nodes As you can see in the output, 11 nodes has been dropped (line 3). A node is an object entry and dropping a node can help to reduce the noise, but sometimes it may hide the root cause of the issue. Adding the flag or assigning it directly inside the attractive shell will include all data of the profile in the result. -nodefraction=0 Difference Between Flat And Cumulative In the above output, you can see two columns, and . Flat means , while cum (cumulative) means For better understanding, let’s assume the following function, the flat time of function is 4s and the cum is 11s. flat cum only by this function by this function and functions called down the stack. A {
   B() DO STH DIRECTLY C() } func A () // takes 1s // takes 4s // takes 6s Difference Between Allocations And Heap Profile An important note to consider is that the difference between the allocations and heap profile is the way the pprof tool reads them at start time. Allocations profile will start pprof in a mode which displays the total number of allocated objects since the program began which as well, but heap profile will start in a mode that displays number of live allocated objects which . includes garbage collected ones does not include garbage collected bytes That means in the pprof tool you can change the mode regardless of the profile type (heap or allocations). It can be done using the following values. You can either set them as a pprof flag or assign them to inside the pprof interactive shell: sample_index amount of memory allocated and not released yet (heap) inuse_space : amount of objects allocated and not released yet (heap) inuse_objects : total amount of memory allocated (regardless of released) alloc_space : total amount of objects allocated (regardless of released) alloc_objects : Get An SVG Graph From The Profile You can generate a graph of your profile in an SVG format, and open it with a web browser. The following command will request for a 5s CPU profile and will launch a browser with an SVG file. pprof -web http://:8080/debug/pprof/profile?seconds=5 Run pprof Via A Web Interface One of the useful pprof features is the web interface. If the flag is specified, pprof starts a web server at the specified host:por that provides an interactive web-based interface to pprof. -http pprof -http :8080 http://:8080/debug/pprof/goroutine The preceding command should automatically open your web browser at the right page; if not, you can manually visit the specified port in your web browser. Monitoring Goroutines From Command Line As you can see in the Goroutine profile, 115 Goroutines are alive which is not normal for idle service. It should be a Goroutine leak. So let’s check Goroutines status using the tool. grmon is a command line monitoring for Goroutines. Let’s install it and run it on host that is serving the profile data: grmon go get -u github.com/bcicen/grmon
grmon -host :8080 The output is: It seems the function blocks on a action. After reviewing the code I found the bug. It has occurred due to sending into an unguaranteed channel. I’ve fixed that by turn the to a buffered one channel (line 15). It was the very same mistake that I have mentioned . logHandler chan send ch this post How does a profiler work? Although stack traces generated by profilers are often intelligible, it is sometimes necessary to understand how profilers work under the hood to get even more details from the generated profiles. CPU Profiler The Go CPU profiler uses a signal to record code execution statistics. Once the signal got registered, it will deliver every specified time interval. This timer unlike typical timers will increment when the CPU is executing the process. The signal will interrupt code execution and make it possible to see which code was interrupted. SIGPROF When the function is called, the signal handler will be registered to call every 10 milliseconds interval by default (100 Hz). On Unix, it uses a syscall to set the signal timer. pprof.StartCPUProfile SIGPROF setitimer(2) On every invocation signal, the handler will trace back the execution by unwinding it from the current value. This will generate a stack trace and increment its hit count. The whole process will result in a list of stack traces grouped by the number of times each stack trace is seen. PC After the profiler is stopped, the stack traces will be converted to pprof-supported stack frames with source file names, line numbers and function names. Memory Profiler The memory profiler samples allocations. It will show function calls allocations. Recording all allocation and unwinding thestack trace would be expensive, therefore a sampling technique is used. heap The sampling process relies on a pseudo random number generator based on to sample only a fraction of allocations. The generated numbers define the distance between samples in terms of allocated memory size. This means that only allocations that cross the next random sampling point will be sampled. exponential distribution The sampling rate defines the mean of exponential distribution . The default value is 512 KB which is specified by the . That means to tune the size of the fraction to be sampled, you have to change value. Setting the value to 1, will include every allocated block in the profile. Obviously this will slow down your application. runtime.MemProfileRate runtime.MemProfileRate Stack traces with corresponding sampled allocations information is available any time, since the memory allocation profiler is always active. Setting the to 0, will turn off the memory sampling entirely. runtime.MemProfileRate Once the stack traces got ready, those will be converted to pprof-supported stack frames. Also published here .

Go: The Complete Guide to Profiling Your Code

Go: la guía completa para perfilar su código

As restaurants, shops, airlines and factories shut down around the world, a global coronavirus-fueled recession is no longer a looming threat. It’s here. During the last downturn, I lost a lot of money and I don’t plan on doing that again. So, it is a great opportunity to reexamine it all and turn it into lessons or personal reminders. One of Warren Buffet’s most famous sayings is "Rule No. 1: Never lose money. Rule No. 2: Never forget rule No. 1." So, realistically, my target scenario during a recession is to stay flat. But, my blue sky scenario is to actually try and make some money as the world collapses all around. So, this is the list of 15 lessons learned the hard way from my own experience and observations: 1. Be OK with no longer making money The first step to making money during the downturn is to be OK with no longer making money during an upturn.  It hurts to miss out on gains, but missing out on gains is the only way to not lose money. Your goal is to time your asset allocation so that you have the least amount of risk exposure when the cycle turns. The problem, obviously, is that nobody knows when the cycle will turn. 2. Don’t panic! This is truly invaluable advice from The Hitchhiker's Guide to the Galaxy by Douglas Adams. So, make a plan and don’t make any hasty investment decisions. Try not to worry so much, especially if you are not near retirement age. If you have at least a 5-year investment horizon, recessions should be factored into your portfolio. 3. Buy gold Gold is immune to recessions and so far it has been resistant to corona crises as well. Returns are usually inversely proportional to the returns of both stocks and bonds. So often, when other major asset classes fall, gold rises. A good hedge is to buy the largest, most popular gold ETF, SPDR Gold Shares (GLD). But in the digital age you can even buy gold in the form of a cryptocurrency with PAX Gold (PAXG). 4. Buy dollars Sharing similarities with gold, the US Dollar also boasts safe haven attributes. Due to its role as the world’s reserve currency and the backing of the world’s largest economy, the US Dollar is both liquid and sought after during downturns 5. Cash is king One of my best pieces of advice is to have some cash on hand during recession. Buying stocks during economic slowdowns is a time-proven strategy to build wealth. Good companies generally don't become bad stocks because of a recession or coronavirus. They do, however, often go on sale because of the crises. As Baron Rothschild, said: "the time to buy is when there's blood in the streets." 6. Buy long-term Many investors focus too much on short-term stock price fluctuations. They tend to feel good when stock prices increase and become anxious when they fall. Some companies will thrive during a downturn. Consumers still need to eat during a recession, Costco (COST) and Walmart (WMT), for example, are good bets. How long should you hold a stock? Warren Buffett says if you don't feel comfortable owning a stock for 10 years, you shouldn't own it for 10 minutes. 7. Keep an eye on divorces According to Forbes, divorce rates go up when the economy goes down. And when couples split, the assets have to be sometimes liquidated fast, especially to satisfy court rulings. For you savvy investors out there, one man’s heartbreak is another man’s treasure. 8. Consider Commodity-based ETFs The benchmark Bloomberg Commodity Index is currently about 55% down from the peak in 2011. Commodities have intrinsic value and you can assume their prices will not fall to zero. Thus, when they reach technical lows, I see a tremendous buying opportunity. Go long with iPath Bloomberg Commodity Index (DJP). 9. Take some risk and go net short The only way to make a lot of money in a downturn is to take a risk. This means losing money if the downturn never comes. The easiest way to short risk is to buy an ETF that goes up when the underlying index it tracks goes down. One of the most liquid short ETF is Proshares Ultrashort (QID), shorting Nasdaq 100 Index. Russell 2000 small cap index (TWM) is quite popular in a bear market, as well. 10. Go long volatility Volatility is a certain bet during crises. You can easily buy a volatility ETF such as iPath S&P 500 VIX ST Futures ETN (VXX). During the recent “corona crisis” sell-off, the VXX almost tripled from $15 to $40. 11. Go long US Treasuries When the world is collapsing, investors tend to seek the safety of US Treasury bonds. Two of the most common ETFs to buy are iShares 7+ Year Treasuries (IEF) and iShares 20+ Year Treasuries (TLT). Buying TLT will give you more upside. 12. Take advantage of defaults This is when cash comes handy too. As we saw during the last downturn, when the economy tanks, people lose their homes. When the market plummets, properties can be yours for pennies on the dollar. Once the market recovers, which is always the case you have a good cash-flowing property. The last recession was a nightmare for homeowners, but it turned out to be a boon for some real estate investors. 13. Buy stablecoins Stablecoins are a storage place for crypto investors to escape the volatility. Dollar deposits no longer offer any returns. By investing in the new digital dollars you can profit from a large interest on your holdings. Blockfi, for example, offers 8.6% on Gemini Dollar (GUSD), and soon on Paxos Standard (PAX). 14. Invest in yourself Think about what is the most impactful thing that you can do and where to grow. Don't make decisions when you are angry or ecstatic. The best decisions are made with a clear conscious mind, not in the throes of any emotion. Everything has its right moment. And remember, what other people think doesn't matter. Stick outside of the box and be confident. 15. Buy Bitcoin People sometimes describe bitcoin as digital gold. But the difference is that while gold is physical and clunky, bitcoin is borderless and digital. The real genius of the Satoshi whitepaper lies in the fact that it predicts the upcoming collapse. It’s an alternative financial system that you can own a piece of. Bitcoin is essentially a call option on an outcome. I believe that Bitcoin has the potential to save us from the corona recession and the everything bubble. This too shall pass Ray of sunshine for investors is that nothing lasts. Recessions never create a new normal and, eventually, the economy will recover. For those of you who have enough money to be happy, taking an excess risk is unnecessary. Once you’ve made your money, the key is to keep it. Ras Vasilisin is the founder and CEO at Virtuse Exchange , Singapore-based multi-asset platform with a significant presence in the EU, that allows investors in more than 100 countries to trade crypto and traditional assets. (Originally published ) here

Surviving COVID-19: 15 Investment Strategies For Recessions

credits: jaegertracing.io Let’s say your services get thousands of requests per second, you log enormously and you don’t miss any exception in your logging system. Suddenly, the operation team sent you a message pointing to an error for a customer with id on production and you couldn’t understand why all the people around you are over-stressed… and then the penny dropped. The customer is actually a friend of the boss! ( X X true story) Ok… Let’s see what you can do: You searched on your logging system and waited forever as there are TBs of logs. Then you tried it again with a more detailed query such as , and got the resu… oh, another problem! Your teammate said that you need to replace with After you also fixed that and waited about 10 secs, 24 results appeared on the screen! Now you are ready to analyze them. X userId=X not in this and that but in this at time t Error: wrong query syntax. not in this in not this. … 10 minutes later… You figured out that called service and as method in took 3 seconds, service returned 500. ServiceA ServiceB LongRunningProcess ServiceB A After all, you are glad to find the bug in about 20 minutes. Let’s replay the process assuming that you use and . Open Tracing Jaeger You visited Jaeger UI on your browser You wrote to tags and set the date userId=X You clicked search and the result is below: Example request that Jaeger traced In couple of seconds, you can understand that took actually 3 seconds, and as a result, returned LongRunningProcess ServiceA 500. Open tracing is an open standard for distributed tracing, and Jaeger is the tool that implements the standard. Please check the Jaeger architecture from beforehand. it’s official documentation Today, we are gonna create 2 APIs and 1 console client for our demo environment using .net core. I will also use a simple wrapper that I wrote as it brings simplicity in my opinion. Let’s start! Clone the Repo & Prepare your environment If you have and installed on your workspace, you are ready to go. .net core docker Get the docker image for and run it: Jaeger docker run -d --name jaeger \  -e COLLECTOR_ZIPKIN_HTTP_PORT=9411 \  -p 5775:5775/udp \  -p 6831:6831/udp \  -p 6832:6832/udp \  -p 5778:5778 \  -p 16686:16686 \  -p 14268:14268 \  -p 9411:9411 \  jaegertracing/all-in-one:1.6 Clone the repo I prepared for this article: https://github.com/skynyrd/opentracing-with-jaeger We have one .net core solution containing 4 projects: , , and We are going to walk thru all of them. Let’s start with to understand the dynamics of the Jaeger client. ConsoleClient ServiceA ServiceB JaegerWrapper. JaegerWrapper JaegerWrapper: For syntactic sugar — Because why not? In order to use Jaeger client, we first need to understand how traces work in our code. A is a data/execution path through the system, and can be thought of as a directed acyclic graph of . trace spans A represents a logical unit of work in Jaeger that has an operation name, the start time of the operation, and the duration. Spans may be nested and ordered to model causal relationships. span — Official Jaeger docs. In an application, we need to have a Tracer that manages our spans. I strongly recommend having one tracer in a microservice for simplicity. After creating the and registering it, the jaeger client library starts to analyze the controllers in the system by default, even we don’t need to create a single and for that, all created by the library. However, if we want to analyze a specific method, or add some additional tag/log to our spans, we need to create a and bind a to it. Tracer Trace Span OpenTracing.Contrib.NetCore Trace Span Important Note: If you create and activate a span when there is another active span in the system, it becomes a child. You can see it in the diagram above; parent spans are expandable. I wrote a simple builder for this purpose and is a class library that contains it, you can use/copy if you like. JaegerWrapper _traceBuilder.WithSpanName("LongRunningProcess").WithTag(new StringTag("exampleTag"), "exampleValue").TraceIt(() =>{Thread.Sleep(3000);}); To give an example, this code block is for span represented by a yellow horizontal bar in the diagram above. We added to it and we can even add more complex structures using method. Time consumed by is published as a span duration in the GUI. In the example, I used a simple , but you can also return something ( instead of ) e.g.: LongRunningProcess exampleTag: exampleValue WithLog TraceIt Thread.Sleep(3000) Func Action var result = _traceBuilder....TraceIt(() =>{return "something"} Passing across the APIs If you are going to HTTP call a service and you want to preserve your span lifetimes, you need to notify the other service somehow. For the most cases you would like to use the package to automate the configurations, but if you are curious, here is the logic behind that: OpenTracing.Contrib.NetCore Jaeger solves it with HTTP headers that are going to append to the request. You can also use for more abstraction: JaegerWrapper Configuration for WebAPIs For and we need to register the services for Jaeger: ServiceA ServiceB // In ConfigureServices method of Startup class: GlobalTracer.Register(Tracer);services.AddOpenTracing(); If you also want to use the wrapper, you can simply add these: serviceProvider = services.BuildServiceProvider(); var services.AddScoped<ITraceBuilder>(t => TraceBuilder(serviceProvider.GetService<ITracer>())); new Example Calls Have a look at of , we call there but didn’t use any JaegerClient or JaegerWrapper method. This is because we added library and it traces our requests in the black box, magically. AWorldController ServiceA ServiceB OpenTracing.Contrib.NetCore Task< > GetBObject( id) httpClient = HttpClient{BaseAddress = Uri("http://localhost:7334")}; private static async dynamic string {var new new **var** result = **await** httpClient.GetAsync($"/bworld/id/{id}");  

**if** (result.IsSuccessStatusCode)  
{  
    **return await** result.Content.ReadAsAsync<**dynamic**\>();  
}  
  
**throw new** Exception("uncovered area."); } And check the Main method of the ConsoleClient. This time, as this is not a WebAPI, we manually traced our call using JaegerWrapper. traceBuilder.WithSpanName("MainWork").WithHttpCall(client, url, HttpMethod.Get).TraceIt(() =>{ response = client.GetAsync(url).Result; var **if** (!response.IsSuccessStatusCode)  
        **throw new** Exception("uncovered area for the demo.");  

    **var** responseBody = response.Content.ReadAsStringAsync().Result;  
    Console.WriteLine(responseBody);  
}); I used instead of on production couple of years ago, thus I don’t want to write anything about the performance. But I can say that Zipkin was quite performant. If you have production experience with Jaeger, please comment below, I’m curious about it! Zipkin Jaeger Thanks for reading.

Trace Your Requests Like A Boss with OpenTracing & Jaeger

I’m going to step you through the process converting an existing Go to and deploying it to to AWS Lambda & API Gateway with . The whole process should take under 10 minutes. Let’s get started! API serverless AWS Severless Application Model (SAM) 1. Setup Our example API uses the so let’s install that first. [HttpRouter](https://github.com/julienschmidt/httprouter) package $ go get github.com/julienschmidt/httprouter We have a single HTTP handler defined that will return a 200 HTTP response with the body . ok # handlers.gopackage main import "net/http" func HealthHandler(w http.ResponseWriter, r *http.Request) {w.WriteHeader(http.StatusOK)w.Write([]byte("ok"))} Our entrypoint to the application, the function, attaches the to the route and listens for HTTP requests on port . main HealthHandler /healthz 8080 # main.gopackage main import ("fmt""log""net/http""github.com/julienschmidt/httprouter") const (serverPort = 8000) func main() {router := httprouter.New()router.Handler("GET", "/healthz", http.HandlerFunc(goserverlessapi.HealthHandler)) fmt.Printf("Server listening on port: %d\\n", serverPort)  
log.Fatal(http.ListenAndServe(fmt.Sprintf(":%d", serverPort), router), nil) } Let’s build and run this locally to check everything’s working okay. $ go build -o go-serverless-api && ./go-serverless-apiServer listening on port: 8080 2. Convert Application Code to Serverless In order to deploy to a serverless backend we need to be able to handle requests from AWS Lambda. Lambda functions have a different signature to . Imagine if we had not one but hundreds in our application. We would have to manually update all the functions and re-write tests and in doing so we would forfeit our ability to deploy to non-serverless backends. regular HTTP handlers There is a solution which avoids all the problems just listed. We will create a modified entrypoint just for AWS Lambda. Using the we will swap out ’s for which will convert the payload that AWS Lambda provides into the type that HTTP handlers accept. [gateway](https://github.com/apex/gateway) package net/http ListenAndServe gateway.ListenAndServe [*http.Request](https://godoc.org/net/http#Request) In order to implement this second entrypoint we need to reorganise our project. We will create a directory for the AWS Lambda one and move our original entrypoint to a new folder too. # original entrypoint moved to new location$ mkdir -p cmd/go-serverless-api # new entrypoint for lambda$ mkdir -p cmd/go-serverless-api-lambda We will copy the file into each of these new directories and then remove it from the root of our project. main.go $ cp main.go cmd/go-serverless-api$ cp main.go cmd/go-serverless-api-lambda$ rm main.go The package in the root of our project is no longer going to be the package (the one Go uses to run your application). We will rename it to so that we can import it as a library into our new entrypoints which will both become packages. main goserverlessapi main $ grep -l 'package main' *.go | xargs sed -i 's/package main/package goserverlessapi/g' After a simple find and replace on the Go files in the root of your project your should look like this. handlers.go # handlers.gopackage goserverlessapi import "net/http" func HealthHandler(w http.ResponseWriter, r *http.Request) {w.WriteHeader(http.StatusOK)w.Write([]byte("ok"))} Now we need to update our original entrypoint to import the package and access the function as an export from that. Note that you will need to modify the import path of the package to match that of your project root’s location in your . The correct path for the used in this tutorial is . goserverlessapi HealthHandler goserverlessapi $GOPATH example application on github github.com/techjacker/go-serverless-api # cmd/go-serverless-api/main.gopackage main import ("fmt""log""net/http" "github.com/julienschmidt/httprouter""github.com/techjacker/go-serverless-api") const (serverPort = 8080) func main() {router := httprouter.New()router.Handler("GET", "/healthz", http.HandlerFunc(goserverlessapi.HealthHandler)) fmt.Printf("Server listening on port: %d\\n", serverPort)  
log.Fatal(http.ListenAndServe(fmt.Sprintf(":%d", serverPort), router), nil) } Next update the AWS Lambda entrypoint. We are going to use the package which is a drop-in replacement for Go net/http when running on AWS Lambda & API Gateway so let’s install it first. [gateway](https://github.com/apex/gateway) $ go get github.com/apex/gateway Then update the AWS Lambda entrypoint file to the following. # cmd/go-serverless-api-lambda/main.gopackage main import ("log""net/http" "github.com/apex/gateway"  
"github.com/julienschmidt/httprouter"  
"github.com/techjacker/go-serverless-api" ) func main() {router := httprouter.New()router.Handler("GET", "/healthz", http.HandlerFunc(goserverlessapi.HealthHandler))log.Fatal(gateway.ListenAndServe("", router), nil)} We have added to our imports and swapped it out for . The port value is redundant in the Lambda context and the package discards it so we can safely remove the port constant and replace it with an empty string. In addition we have included our from the package (the package in the root our of project which used to be our main package) as our handler for the path. gateway http.ListenAndServe gateway HealthHandler go-serverless-api /healthz 3. Build and Run Locally Let’s build and run our original HTTP API again. $ go build \-o go-serverless-api \./cmd/go-serverless-api $ ./go-serverless-apiServer listening on port: 8080 Open another terminal window and query it. $ curl -s http://localhost:8080/healthz ok Everything still works! Let’s do the same with the AWS Lambda version. $ go build \-o go-serverless-api-lambda \./cmd/go-serverless-api-lambda $ ./go-serverless-api-lambda Again, open a new terminal and query it. $ curl -s http://localhost:8080/healthzhttp: error: ConnectionError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /healthz (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused',)) while doing GET request to URL: http://localhost:8080/healthz Don’t worry this error is expected as the AWS Lambda version is not listening for HTTP connections but instead expects to be fed an type. [APIGatewayProxyRequest](https://godoc.org/github.com/aws/aws-lambda-go/events#APIGatewayProxyRequest) 4. Package Application For AWS Lambda Build the binary for linux, the operating system that AWS Lambda uses. $ GOOS=linux go build \-o go-serverless-api-lambda \./cmd/go-serverless-api-lambda AWS Lambda requires that function code be bundled into a zip so let’s go ahead and compress the binary. $ zip go-serverless-api-lambda.zip go-serverless-api-lambda We will be using the created in the final step - deployment. go-serverless-api-lambda.zip 5. Deploy I’ve seen some tutorials that use the to deploy to AWS Lambda using ad hoc commands. This is absolutely the wrong approach to take! You should be automating your infrastructure just like every other aspect of your application. The industry standard for deployment is either or . Both give you a declarative way to build your infrastructure. You save this configuration in YAML/JSON (Cloudformation) or HCL (Terraform) files which you commit to your repository. The problem with doing things this way is that you have to deal with all of the low level details of the stack. It would be nice if we had a way of describing our infrastructure at a high level in under 20 lines of code instead of hundreds. Enter . AWS CLI tools Terraform AWS Cloudformation AWS Severless Application Model (SAM) AWS Severless Application Model (SAM) SAM is a new standard spearheaded by Amazon aimed at making deploying serverless infrastructure simpler and more concise. SAM is an open source specification — . Hopefully other cloud vendors will adopt this in the future and it will become possible to deploy seamlessly to multiple clouds with a single configuration. see the full reference guide Deploy with AWS SAM Add the following YAML file to the root of your project. This is a SAM template that configures an AWS Lambda Function that runs your Go app and deploys it behind an HTTP interface provided by AWS API Gateway. # template.yamlAWSTemplateFormatVersion: '2010-09-09'Transform: 'AWS::Serverless-2016-10-31'Description: 'Boilerplate Go API.'Resources:GoAPI:Type: AWS::Serverless::FunctionProperties:Handler: go-serverless-api-lambdaRuntime: go1.xCodeUri: ./go-serverless-api-lambda.zipEvents:Request:Type: ApiProperties:Method: ANYPath: /{proxy+} The line creates a Lambda function that is handled ( ) by the binary file we built earlier. This Lambda function can respond to any number of events triggered by other AWS services such as those triggered by AWS S3 and Kinesis. The documentation contains the . In our case we want it to respond to HTTP requests via API Gateway therefore we set the event to . SAM implicitly creates an API Gateway for us as part of this which we then configure to respond to any type of HTTP request by setting the method to ). We tell our API to handle all paths below and including the root by adding . Type: AWS::Serverless::Function Handler: go-serverless-api-lambda full list of event of sources Type: Api ANY Path: /{proxy+} We still need to upload the zip containing our Go binary to AWS S3. Ensure you have an S3 bucket created ready to receive our zip. This is a one-time operation you’ll want to do manually. $ aws s3 mb s3://my-bucket The following command will upload the zip and create a packaged SAM template. $ aws cloudformation package \--template-file template.yaml \--s3-bucket my-bucket \--output-template-file packaged-template.yaml You should now have a file pointing to the uploaded zip. packaged-template.yaml # packaged-template.yamlAWSTemplateFormatVersion: '2010-09-09'Transform: 'AWS::Serverless-2016-10-31'Description: 'Boilerplate Go API.'Resources:GoAPI:Type: AWS::Serverless::FunctionProperties:Handler: go-serverless-api-lambdaRuntime: go1.xCodeUri: s3://my-bucket/8982639e71e0d433cd99f9fa4207ecbeEvents:Request:Type: ApiProperties:Method: ANYPath: /{proxy+} Now let’s deploy using this new packaged template. $ aws cloudformation deploy \--template-file packaged-template.yaml \--stack-name go-serverless-api-stack \--capabilities CAPABILITY_IAM The flag is required for cloudformation to create the stack for you as it will involve modifying IAM permissions - AWS mandate you set this explicitly as a safety measure. Under the hood the SAM template is compiled into a regular cloudformation template which is hundreds of lines longer. All of is completely hidden from the user (although you are free to inspect the compiled cloudformation template if you wish). --capabilities CAPABILITY_IAM Setup 6. Test Deployed Serverless API In order to discover the endpoint of our deployed API we need find out the API Gateway REST . id $ aws apigateway get-rest-apis{"items": [{"id": "0qu18x8pyd","name": "go-serverless-api-stack","createdDate": 1523987269,"version": "1.0","apiKeySource": "HEADER","endpointConfiguration": {"types": ["EDGE"]}}]} AWS API Gateway addresses take the following format. https://<api-rest-id>.execute-api.<your-aws-region>.amazonaws.com/<api-stage> A is Amazon’s term for a deployment. SAM creates two different stages for you: and . Note the title case which is also used in the URLs! I think AWS forgot that everyone calls their test environment not but nevermind! stage Stage Prod Staging Stage So SAM has set up endpoints for us at the following locations. https://0qu18x8pyd.execute-api.eu-west-1.amazonaws.com/Stage https://0qu18x8pyd.execute-api.eu-west-1.amazonaws.com/Prod Let’s invoke our API. $ curl -s https://0qu18x8pyd.execute-api.eu-west-1.amazonaws.com/Prod {"message":"Missing Authentication Token"} No need to panic! This is the when you make a request to the root resource without defining a handler for it. The only handler we have defined is , so let’s try that. standard API Gateway error /healthz $ curl -s https://0qu18x8pyd.execute-api.eu-west-1.amazonaws.com/Prod/healthz ok Voila! Our API is now being powered by a serverless backend. Full code for this tutorial available on . github I’ll be posting more articles on Go and Serverless soon. Follow me on to get notified when I do. twitter Originally published at andrewgriffithsonline.com .

How to Migrate a Go API to Serverless (in under 10 mins)

I developed a very basic benchmark suite to compare different HTTP server’s performance. It is inspired by , but uses instead of . arcadius/java-rest-api-web-container-benchmark h2load ab I implemented four very basic REST APIs with exactly one route each, which exposes a small, static todo list as JSON. Server Implementations with embedded Java: Jersey Grizzly Using plain package Go: net/http Using plain package NodeJS: http Using de-facto standard framework NodeJS: Express 4 Setup My machine, where the benchmark suite was executed on, has the following specifications. === CPU:model name : Intel(R) Core(TM) i5-3317U CPU @ 1.70GHzcpu cores : 2model name : Intel(R) Core(TM) i5-3317U CPU @ 1.70GHzcpu cores : 2model name : Intel(R) Core(TM) i5-3317U CPU @ 1.70GHzcpu cores : 2model name : Intel(R) Core(TM) i5-3317U CPU @ 1.70GHzcpu cores : 2

=== RAM:                   total used free shared buffers cachedMem:               7.7G  6.3G 1.4G 412M   527M    2.4G-/+ buffers/cache:       3.3G 4.3GSwap:              5.6G  0B   5.6G

=== Java version:java version "1.8.0_101"Java(TM) SE Runtime Environment (build 1.8.0_101-b13)Java HotSpot(TM) 64-Bit Server VM (build 25.101-b13, mixed mode) 

=== OS:Linux ferdinand-notebook 3.16.0-4-amd64 #1 SMP Debian 3.16.36-1+deb8u2 (2016-10-19) x86_64 GNU/Linux

=== Node: v6.5.0

=== Go: go version go1.7.3 linux/amd64 Test parameters Basically there are three parameters to be varied for the . benchmark The to be performed against the API. I chose to set this to number of total requests 100,000 The client to make those requests. I chose to have concurrent clients, each of them 3,125 requests. number of concurrent 32 making The to be used by . I set this parameter to four, corresponding to the number of logical CPU cores of my machine. number of threads h2load Results Running my delivered the following results. benchmark script Discussion First of all, please notice that this is definitely not a 100 % correct, scientific evaluation. Rather it should give basic insights on the order of magnitude of the performance differences between different language’s HTTP servers. As we can clearly see, Go is the fastest candidate among my test subjects. However, my implementation only utilized the plain, built-in http package without any custom ServeMux or any router or middleware on top of it. In a real-world application, one would most likely not operate on such a low level, but use frameworks like on top, which add additional overhead. Iris Second place is Java using Grizzly as an embedded server inside a Jersey application. The reason for me picking Grizzly was that it turned out to be the fastest among the common servers in . this benchmark Both of my Node implementations perform worst in this benchmark, whereas Express is even only as half as good as the plain http package. Evidently, it introduces quite an amount of overhead. However, one would most likely not implement an actual REST API without a higher-level framework like Express. Consequently, the Express benchmark is probably more representative. Concluding I can say that I was pretty surprised about how large the differences between various servers are. Go is almost six times as fast as Node with Express, even though . Express still has a very great performance The full benchmark results as well as the suite’s source code can be found at my . GitHub project EDIT At January 1st 2017 I did some minor adjustments to my benchmark suite. A thoughtful reader has drawn my attention to the fact that my comparison was a little unfair in the way that Go’s net/http as well as Grizzly use as many threads as the host system provides CPU core by default, while Node doesn’t. Using Node’s module I made both Node-based webservers use four listener threads, too and actually the results have improved by around 45 %. Furthermore I did an adjustment to the Jersey + Grizzly server by changing the from the default to , which brought around 10 % in this specific case, where we don't have any blocking computations but only spit out static JSON. If you're interested in leaarning more about different io strategies, refer to . Here is my updated benchmark chart. cluster IOStrategy WorkerThreadIOStrategy SameThreadIOStrategy this official documentation page Originally published at ferdinand-muetsch.de .

Http performance Java (Jersey) vs. Go vs. NodeJS

Hello there, my name is Verlaine, and I've spent over a decade in the field of IT. Throughout my journey, I've witnessed numerous changes within the industry - from manually managing devices to embracing APIs, , and ultimately NetdevOps. DevOps Initially, configuring routers and connecting computers and printers may have seemed dull and time-consuming. However, as I delved deeper into network protocols and tackled more complex projects, my interest in the field grew. In this article, I'll be exploring NetdevOps from a networking perspective. While DevOps is a popular term in software and web development, it seems to be less talked about  when it comes to networking. Let's dive in and discover more! Overview NetdevOps With the emergence of DevOps in various industries, its principles have paved the way for new trends such as . In NetdevOps, the DevOps culture is integrated into the deployment and operations of networks and infrastructure teams. It's clear that the old way of working is no longer desirable. DevSecOps, ChatOps, MLOps, and NetdevOps DevOps and NetdevOps: What’s The difference In the realm of networking, the terms DevOps and NetDevOps may appear interchangeable. However, in NetDevOps, the code for the application serves as the configuration that requires management and deployment. We can distinguish between general code, which pertains to configuration; building code, which is for building configuration; and testing code, which tests the configuration. This cycle continues throughout the release process, culminating in the automation of the build, testing, and release phases. If you're diving into NetdevOps or DevOps, it's important to know the key concepts that overlap between the two. Let's explore some of these similarities together! or code Configuration or Build code Build configuration or test code Test configuration or release code Release configuration A plethora of tools Automation plays a significant role in the DevOps methodology, and it continues to inspire IT professionals worldwide. By automating various test phases, we can significantly increase the number of tests for the proposed changes. Once changes undergo testing, they can pass and be ready for the next phase of development. In case of a failure, feedback is provided to improve the testing process. The changes are updated, and the tests are rerun to ensure that all the proposed changes pass. This iterative process continues until all the changes pass the tests. With a culture of collaboration and automation, network engineers and administrators now have a plethora of efficient tools at their disposal. Some well-known tools include: Continuous integration Jenkins Circle CI Travis CI Configuration management Ansible Puppet Chef Collaboration Jira Slack Hipchat Working environment Docker Vagrant Packer Source and image control Docker GitHub BitBucket Platforms Google Cloud Aptible Azure NetDevOps is the way to go NetdevOps is precious  We live in a changing digital society now; networks scale all the time and become difficult to manage with traditional networking management approaches; the CLI can’t keep pace with complex tasks anymore as we move to cloud and automation. Network engineers should collaborate with the DevOps team to embrace automation. It helps them to avoid tedious tasks and manage network infrastructure with fewer errors. Most outages in networking come from manual errors, and automation is the answer to such problems. Where NetDevOps shines Modern networks can be programmed, and automation is crucial for increased agility in today's dynamic industries, requiring companies to adapt : : NetdevOps engineers can identify and resolve issues efficiently with the help of automated tools, leading to improved network stability and reduced downtime. Network monitoring : NetdevOps has brought a significant changes to network devices and configuration management. Tools like Jinja can be used to create templates and deploy them across multiple devices, improving network efficiency. Network management : NetdevOps can enhance network security by automating common tasks such as vulnerability scanning, patch management, and access control. With the help of various tools, network engineers can efficiently identify and address security issues to prevent data breaches. This approach helps in reducing the risk of exploitation by malicious actors. Network security Some of the benefits are : A great collaboration between the network operations ( ) and software development ( ) NetOps DevOps An improved security A better use of resources management A better network stability Road to infrastructure as code or IaC The networking industry has a variety of data formats available, including XML, JSON, YAML, and IaC, which represent infrastructure in a code format. IaC offers a high level of abstraction, and its data format can be interpreted by different configuration management systems. IaC is not limited to network infrastructure but also includes servers and cloud resources. Network engineers also use similar concepts, such as NAC or network as code. Network configurations are treated like code, which is a great way for network engineers to adopt automation in their daily tasks. These configurations are versioned like application code and often use version control systems, such as Git, the most widely used VCS. By adopting Infrastructure as Code (IaC), network teams can easily track any changes made to the configurations and rollback to a previous version anytime they want. In a nutshell, IaC is the process of managing and provisioning network infrastructures through machine-readable definition files, rather than the traditional way of working with the Command Line Interface (CLI) by entering commands and managing devices one by one. How does a netdevOps pipeline look like let’s take a scenario where a NetDevOps team wants to make a change in some device configurations The network engineers pull the latest configuration from GitHub The network engineer makes changes on his local machine through a text editor or IDE of his choice the changes have been completed, the network engineer pushes the committed from his local repository to a feature branch in the remote repository, and the main branch refers to production. GitHub is currently the most widely used cloud-based service that utilizes Git. It includes GitHub Actions, a built-in continuous integration tool. While some teams use Jenkins as a separate program, the diagram shows that GitHub's continuous integration server can easily detect modifications and start a job. In netdevOps, to validate the configuration and run defined tests, a test environment is utilized. Thanks to GitHub Continuous Integration, tools like EVE-NG or Cisco Modeling Labs, along with virtualized or physical lab networks, can be employed to accomplish this task. In the diagram, the GitHub continuous integration runs a set of defined tests against the configuration code in the remote repository to validate the new change. Some scripts or tools are able to detect different changes and some of the well-known frameworks pyATS GitHub offers rich features, and a webhook can be configured to send a notification on Slack to notify the netdevOps team of different events in the pipeline. Thanks to different notifications, the netdevOps team is able to know if a test has passed or failed. How to start The networking industry has an abundance of tools available, which can often lead to confusion. It's common for network engineers who want to adopt the culture to feel overwhelmed with endless information. The choice of tool depends on the project you aim to achieve, and no one knows all the tools available. If you're a network engineer starting a netdevOps journey, here's how to proceed: : is the defacto language to automate networks, easy to learn thanks to its syntax as plain English text, rich with a plethora of libraries. Python : it’s one of the most used Python libraries in modern networking that simplifies connecting and interacting with network devices. The library provides a simple way to interact with network devices using Python. Netmiko : it’s a great Python automation framework. It also offers a simple way to interact with devices using Python. Nornir : A Python web framework widely used for developing web-based network management applications, is considered to be excellent. Flask : A Python library for data visualization, a great way to visualize network data Matplotlib : It is a network simulation tool that can simulate Cisco and non-Cisco networks using real Cisco images on workstations and servers. Cisco Modeling Labs : it’s a network emulation platform that allows network and security professionals to design, test, and troubleshoot in a virtual environment. EVE-NG The aim is to start with the most used tools. Handling many tools simultaneously is impossible, and the list is not exhaustive. Conclusion Network engineers can no longer operate with the traditional methods of managing networks, thanks to the application of DevOps principles to networking. With Infrastructure as Code (IaC) network configurations treated like code, NetdevOps transforms how they operate and gives network engineers a chance to embrace automation. The to keep up with the current technological developments, as customers' behavior is always changing, and networks need to scale on demand. CLI is no longer able In a rapidly evolving digital world, network engineers should embrace netDevops and adaptability.

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