LambdaTest is cloud-based cross browser testing platform that helps in both manual and automated browser compatibility testing

LambdaTest

lambdatest

Software deployment pillars the software development life cycle (SDLC). It links users and developers, making it possible to gather and use feedback fast. This feedback loop raises software's quality, usability, and scaling propensities. However, software deployment is challenging and requires careful planning and strategy. As a result, the deployment process's design has to be carefully considered. The effectiveness of the planning phase may determine whether a deployment is successful or unsuccessful. ”Your solution doesn’t work till others can use/tinker with it. Deployment enables that.” In this article, I delve into the specifics of the planning stage of software deployment and provide an accurate walkthrough of everything that must be established. Although there are many different deployment methodologies, the DevOps methodology is the focus of this article. What Is Software Deployment? Software deployment is the method by which applications, modules, updates, and fixes are distributed from developers to target environments. Pushing software into target environments entails actions that increase functionality, such as system management and operations. Deployment is the anti-penultimate stage of the SDLC. Software production is frequently confused with software deployment. Although used synonymously, they have different meanings. Software production is more comprehensive; it involves several activities, including code and build development and deployment. Software Deployment Activities Software deployment is an amalgam of numerous activities that can be summed into five major headings: Planning Deployment: Adequate planning is the primary driver of successful software deployment. This article explains that. Verifying service components Verifying target environments: Depending on your operating system and the size of your project, there are different ways to verify target environments. No matter the operating system, you must configure and create a target connection between your local machine and your target environment before deploying the software package to the target to carry out your planned functions. For instance, on Linux, you can configure and set up a target connection using a real-world NFS target networking environment, an emulated target environment, or a flash development environment. To ensure that the software functions correctly in the target environment, dependencies are also installed during this phase. Executing deployment: For DevOps, this is the phase of implementation of DevOps’ principles like all-around automation, CI/CD, etc. Confirming deployment: More than deployment is required. Confirmation is essential to ensure that the software package has been successfully deployed. Planning for Software Deployment Adequate planning facilitates the convergence of all parties involved in the software deployment process into a single source of truth and improves communication. Good planning has implementation-based advantages as well as corporate or organizational advantages. In this article, I divided the planning process into two main functions: managerial and engineering activities. Engineering Activities The engineering team generated the code, versioned it in the most practical format, and prepared the package for distribution because they are the software's backbone. The technical department must cater to six components: frontend, backend, monitoring, CI/CD, data storage, and security. Prepare your software package for deployment by doing the following: Frontend Minify CSS and JavaScript files, and compress images to reduce the number and size of files your software has to load when deployed. Configure a content delivery network (CDN) to reduce network latency. When a user initially requests access to your software, a CDN server guarantees that the files are transferred from the origin server, a copy of the assets is cached on the edge server, and the data is reused for subsequent requests. Users may get your application more quickly in this fashion, and your deployment host won't become overloaded with requests. of websites use . 79.9% Cloudflare Configure cache busting by versioning your files when they’re updated. Cache busting guarantees that the most recent updates to your software are generated and immediately made publicly available. Three techniques exist for performing cache busting: File name versioning (e.g., style.v2.css) File path versioning (e.g., /v2/style.css) Query strings (e.g., style.css?ver=2) While the first two techniques are hitch-free, cache busting using a query string may present a number of issues, especially when used with a CDN. Backend On the backend, ensure the following: To ensure that your software has sufficient resources, configure your virtual machines, HDD, CPU, and RAM. If your software is running on EC2, ensure to build an Amazon machine image (AMI). An AMI enables you to create virtual servers — e.g., EC2 instances — inside the AWS infra. You can easily create an AMI from an EC2 instance, register the machine image, and search for it when you need to launch new instances. If containerization is employed, prepare and push your images to the container registry. You can simply do this using the `$ docker push` command. The docker documentation portal contains comprehensive details on how to push a new docker image to a docker registry. If your software is packaged as microservices, configure a container orchestrator. is one of the best known, with comprehensive community support. Kubernetes Data Storage Set up relational databases. has of the relative market share in database management tools, and you can learn how to set up a MySQL database schema . MySQL 44.04% here Set up queue systems to reduce the server and data volume. Run schema migration. Schema migration auto-updates your database scheme per every change in your codebase. Set up file storage: Where will files generated during app usage be stored? Configure tools, like , and , to store these files. Amazon S3 Cloudinary Security For the security of your software, To encrypt your server connection, obtain and configure SSL certificates. Configure static code analyzers to uncover security risks in your codebase or dependencies. CI/CD CI/CD is the cornerstone of the DevOps methodology. Ensure the following: Create a deployment pipeline using a version control system (VCS) like on your remote system. Git Write test scripts and run automated tests. The cornerstone of DevOps is automated testing, and technologies like Lambdatest, TestSigma, and others that are available right out of the box let you execute automated tests in parallel across several environments. There are three ways to construct a test script: using data scripting, using a programming language, or using the record/playback approach. Scripts often include a set of instructions that detail the software functionalities that must be tested as well as the direction in which you want the automated testing to go. Set up static code analyzers. Based on pre-established principles, static code analysis tools analyze your code, format, and lint. This makes it possible to guarantee that the code adheres to current standards. Set up deployment environments. Depending on the purpose of your deployment, you could either set up an ephemeral or permanent environment. Aptible’s hosting platform automates the work of provisioning, managing, and scaling infrastructure, so I recommend Aptible here. Use a load balancer to create a zero-downtime deployment strategy. A load balancer serves as the "traffic cop" in front of your servers, distributing client requests across all servers equipped to handle them in a way that maximizes speed and capacity utilization. The load balancer routes traffic to the active servers in case one server goes offline. The load balancer initiates requests to a new server when it is added to the server group. By distributing requests only to servers that are active, a load balancer assures high availability and dependability and offers the flexibility to add or remove servers as needed. Your future scaling problems are made easier by this. Monitoring Set up log management systems to gain first-hand access to information useful in improving the deployment process. Gathering and utilizing the reports generated by the log management systems is a core component of observability, which makes your pipeline more intelligent and fool-proof. Using tools like or InfluxDB, you can monitor your processes and get error reports in real-time. The P portal has robust information on how to set up its alert management and log monitoring solutions. Prometheus rometheus documentation Managerial Functions Along with the engineering operations, a number of other essential activities include: : Team members should be familiar with both successful and unsuccessful deployment processes before deployment. The modern implementation of the DevOps deployment methodology requires that team members track the performance of the deployed software using different KPIs. Setting key performance indicators (KPIs) These KPIs enable the team to assess the progress or failure of the deployment. However, despite their importance, only a few teams monitor their deployment through KPIs. These KPIs include deployment frequency, failed deployment rate, change volume, memory use, CPU utilization, downtime during deployment, page load time, mean time to recovery (MTTR), error frequency, and many others. : Release notes serve as documentation for prospective future use and deployment explanations. Isolating unexpected problems helps to better identify them. Each deployment should be versioned to keep errors transparent and manageable. Preparing a release versioning and release notes process : Even with meticulous planning and precise automation, unforeseen events might still cripple the deployment operation. If there is a problem with the deployment process, the rollback system enables retrieval of an earlier version. Imagine it as an airbag; the ability to revert to a previous release will be crucial if the current deployment fails. Preparing a rollback system : The deployment must be carried out step-by-step and under control, allowing you to decide whether to move forward at each checkpoint. Therefore, activities set to our current checkpoint can be worked on using resources, but tasks that come after the checkpoint cannot. Hence, the next set of functions is released when the checkpoint has been passed OK. Below is an example of a task list: Preparing a task list Conclusion The success of software deployment depends on how well the planning stage, which comes before actual deployment, is executed. Planning, therefore, requires a lot of thought and attention to detail. The intricate details of the software deployment planning phase have been covered in full in this article. You are prepared to deploy if you have it in your arsenal!

The Software Deployment Checklist You've Never Seen

Let's learn about via these 63 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Selenium /Learn Repo 1. How to Run Selenium Tests on Firefox using Firefox Driver Selenium uses Firefox Driver to link the test cases with the Firefox browser. In this guide, we discuss how Selenium Firefox driver aka GeckoDriver works with the help of an example. 2. Playwright Vs Selenium: Comparing the Two A brief comparison between Selenium and Playwright from a web scraping perspective. Which one is the most convenient to use? 3. Recommended Websites to Practice Selenium and Test Automation Here's a list of websites to practice test automation using Selenium. 4. 4 Automated End to End Testing Solutions Compared Time to add some end to end tests for your next application. 5. A Look at End-to-end Testing in Nightwatch v2.0 A first look at end-to-end testing with Nightwatch v2. 6. How to Build a 910-wpm Typing Bot with Just 12 Lines of Python Prerequisites 7. Web Automation with Python and Selenium Web automation is one of the best ways companies can test a product in development, especially the app's functionalities, such as clicking, scrolling... 8. Scraping A Website with Python and Selenium: A How-To Guide web scraping is practiced by businesses that create their marketing and development strategies based on the vast amount of web data 9. 6 Popular Challenges In Automation Testing using Selenium Selenium is a very popular software testing tool. However, Selenium automation testing often comes with several challenges which are solved in this QA blog 10. How to Start Your Friendship with Selenide I've talked about why you should use Selenide previously. Now, it's time to teach you how it works first-hand. 11. WebdriverIO Vs. Selenium: Who Will Win? Selenium is the most popular web UI automation tool, but does that mean that it's the best solution in test automation market? 12. A Successful Selenium Parallel Testing With Zalenium Do you run a lot of automation frameworks using Selenium but finding it difficult to scale with a Dockerized infra? Maybe our case study can be of help. Read on 13. How To Make A Record of Selenium Test Selenium is a open-source free and automation testing tool for web applications across all different browsers. It is quite similar as HP QuickTest Pro (QTP, currently UFT). However, Selenium mainly focused on automating web-based applications. So the testing done using Selenium tool is referred as Selenium Testing. In order to record a test, follow the given steps:
Step 1 : Open Mozilla Firefox web browser, go to tools and click on Selenium IDE. There type the link 14. Open-sourcing Ferrum: a fearless Ruby Chrome driver If you want to run integration tests on your website, you have three options: Poltergeist, Selenium and now, a new secret weapon — Ferrum. 15. What is the Best Operating System and Programming Language for a Hacker? It is the geeky thinker who uses an operating system along with programming and scripting languages to solve problems and automate tedious and monotonous tasks. 16. Use Jupyter to Restart the Script from the Point Where the Scrapper Terminated Have you ever had a situation where your scrapper came across an error [may it be server error or scraper block] and had to start over again? 17. Top Unit Testing Automation Frameworks for Selenium With the introduction of Selenium, automation testing has become an easy task. All you need to do is find an appropriate unit testing framework for Selenium. 18. Generating Dependable Locators for Web Testing, Data Scrapy Generate reliable locators for web testing or data scrapy 19. The Test Automation Frameworks that Define Software Development A test automation framework is a collection of rules or guidelines for generating and designing test cases. It includes a combination of practices and tools that are developed to assist the QA professionals in testing more effectively. Moreover, these set of guidelines may encompass coding standards, object repositories, test-data handling techniques, processes for securing tests results and also data on how to access external resources. 20. The Web Scraping Anti-Detect Anti-Bot Matrix: A Guide Web scraping tools and framework comparison to bypass the most common anti-bot solutions like Cloudflare, Perimeterx, Datadome, Kasada and F5 21. Automation for Girl Scout Events The shutdowns brought an opportunity for my daughter to participate in virtual scouting events all over the United States. When the event registration form changed, I took the chance to try out some new web scraping skills while inspiring my daughter about the power of code for everyday tasks. 22. Is Latency Slowing Down your E2E Tests? LambdaTest offers to make cloud browser testing 70% faster than traditional cloud test execution platforms. In this post, we understand the optimisations made. 23. Why is Selenium the Best Tool for Automation? The adoption of agile processes in the software development process reduces overall software development time, time-to-delivery (TTD), time-to-market (TTM), and also development expenses. The demand for automation testing solutions has risen rapidly in order to ensure efficiency and quality in the testing process. Selenium is one of the most extensively used web application testing technologies among the many automation testing solutions available. There are many online training centers across India like Selenium Training In Chennai which aids the aspirants in upskilling the knowledge to work with selenium. In this article, we are going to cover the topics which incorporate the topics of understanding the Selenium tool, supporting browsers and platforms for selenium, and the significance of employing selenium rather than other automated testing tools. Now let us try to comprehend the tool Selenium. 24. 7 Reasons to Use Automated Tests in Selenium, JUnit5, and Gauge Framework Using automated tests to optimize your web application using Selenium, JUnit5, and Gauge Framework. 25. How to Set up Selenium in Visual Studio for Automated Browser Testing of Web Apps In this Selenium C# tutorial, we are going to help you set up Selenium in Visual Studio and run your first Selenium C# example script. 26. "It's kind of morbid but I kinda love it", CEO Tai Shi Ling of UI-licious on QA UI-licious was nominated as one of the best startups in Singapore in Startups of the Year hosted by HackerNoon. CEO Tai Shi Ling shared her founder story here. 27. How to Use .NET C# for Web Scraping A guide on how to do Web Scraping in DotNet (.NET) CSharp (C#), with examples. Software Development Coding Programming Selenium HtmlAgilityPack Puppeteer 28. Using Google Street View Photos as Wallpapers [A How-To Guide] Have you ever seen a photo on Google Street View and thought"Damn, this would make for a nice wallpaper"? Well, I have. So I started a project to get Street View photos at random and turning them into wallpapers. 29. How to Integrate Selenium with Capybara There are times when you want to know how your capybara tests are interacting with your pages, sometimes it’s not enough the log on your console to determine why they are not working as expected, that’s why you can make it display the steps on your browser in real-time. The steps to do this are really easy thanks to the Selenium Project, which is in charge of providing us the necessary infrastructure to interact with the interface of all major web browsers. 30. How to Write Automated Birthday Posts on Facebook Using Selenium Are you the kind of person that always forgets their friends’  birthdays? Do you find yourself scrolling through Facebook, wincing at the realization that you didn’t post a congratulatory message yesterday on your bestie’s wall? And what use is that tiny ‘birthday’ tab that Facebook so helpfully sequesters in the top right corner of my Newsfeed. No big deal, right? Wrong. You might not have remembered their birthday, but they will definitely remember that you didn’t remember to remember it - and bye, bye, bestie. But don’t panic -  here lies the solution to your woes, and it's also pretty easy. 31. The world needs an alternative to Selenium - so we built one [Disclaimer - the thoughts in this post are mine alone and the "we" in the title refers to an open-source project where I happen to be the lead developer.] 32. How To Make End-to-End Testing Your Friend It's about time to get automated end-to-end testing on your side and improve your development process. 33. How to Use Data Science to Find the Best Seat in the Cinema (Part I) From the most popular seats to the most popular viewing times, we wanted to find out more about the movie trends in Singapore . So we created PopcornData — a website to get a glimpse of Singapore’s Movie trends — by scraping data, finding interesting insights, and visualizing them. 34. Is Selenium Automation Testing with Disabled JavaScript Settings Worth Your Time? Selenium has been a pinnacle for open-source software in the industry of automated website testing. The automation testing framework is widely adopted by the testing community to help them in automating interactions with their web-application for desktops. 35. How Can I Use Selenium to Automate Shadow DOM Elements? In this blog, we highlighted the automation of the shadow DOM elements using the selenium web driver. 36. Using Galen Framework For Automated Cross Browser Layout Testing Galen Framework is a test automation framework which was originally introduced to perform cross browser layout testing of a web application in a browser. Nowadays, it has become a fully functional testing framework with rich reporting and test management system. This framework supports both Java and Javascript. 37. How to Start a Career in Software Testing Testing is indispensable. It's the lifeline of software. Quality is a thing that can uplift you from your competitors. 38. How to Build a PowerShell Script to Keep ChromeDriver Up to Date Chrome frequently updates automatically causing ChromeDriver versions to mismatch. Using PowerShell you can download the correct version of the ChromeDriver 39. An Intro to Build Automation Tools for Selenium Automation Testing Build automation tools are vital for Selenium testing, as they help to orchestrate the project build by automating the process. Read more to find out how! 40. How To Implement a JUnit Parameterized Test for Selenium Test Automation Tired of writing the same test scripts for different input values? Save time by learning how to perform a parametrized test in JUnit. 41. The 4 Pillars Of Automation In the test automation world, there is a competition between Puppeteer vs Playwright vs Selenium vs Cypress. These four pillars form the backbone of the space. 42. How To Use Selenium WebDriver for Cross Browser Testing Selenium is a popular automation testing framework that is primarily used for cross browser testing. It is open source and is ideal for automating testing of web applications across different browsers like Firefox, Chrome, Internet Explorer, Microsoft Edge, etc. Selenium has become a renowned framework and is giving stiff competition to other test frameworks like HP QTP (Quick Test Professional) and AKA HP UFT (Unified Functional Testing). 43. Tests Automation with Examples: 'Click' Button Method in Selenium One of the most fundamental and crucial interactions while Selenium automation testing is done by automating click operations over elements on a web page. We facilitate the click interaction using a method called Selenium.click(). 44. Top 10 Automation Testing Tools: 2020 Edition The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects. The latest World Quality Report 2018–2019 suggests that test automation is the biggest bottleneck to deliver “Quality at Speed,” as it is an enabler of successful Agile and DevOps adoption. 45. How To Use Selenium To Catch Page Load Times There are a number of metrics that are considered during the development & release of any software product. One such metric is the ‘user-experience’ which is centered on the ease with which your customers can use your product. You may have developed a product that solves a problem at scale, but if your customers experience difficulties in using it, they may start looking out for other options. Website or web applications that offer better web design, page load speed, usability (ease of use), memory requirements, and more. Today, I will show you how you can measure page load time with Selenium for automated browser testing. Before doing that, we ought to understand the relevance of page load time for a website or a web app. 46. Automating WhatsApp Web with Alright and Python Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, media, and files programmatically. 47. Automation Testing With Selenium, Cucumber Tool And TestNG Cucumber is a test automation framework which leverages Behavior Driven Development for collaboration in between Business and IT teams. It empowers a user to define an application’s behavior in plain English language which makes it easier for non-programmers to understand the acceptance criteria. 48. Selenium vs. Selenide: Which is the Better UI Test Automation Framework? Choosing a UI automation framework is not an easy task. You have to consider many factors based on your company's needs. 49. What Deserves Your Attention in the Release of Selenium 4 (And 4.1) The first-ever release of Selenium WebDriver 1.0 in 2007 has indented a lasting footprint in web automated testing. And through the years, the contributions of the Selenium project (WebDriver, Grid, and IDE) have truly transformed the way that we do quality assurance. 50. Selenium Exceptions as the Way to Get More Robust Testing Scripts: the Truth Exceptions in Selenium are unavoidable. Here are 49 most common Selenium exceptions which might occur while performing Selenium Test Automation. 51. The Complete Guide Using To Selenium Locators In Protractor To Run Test Automation With Scripts Selenium locators in Protractor are important for running your test automation scripts. Read now to know more about these locators. 52. Scraping Data With Selenium: Upwork Series #2 Hi Devs! 53. How To Use Nightwatch.js Framework For Test Automation Selenium is a widely used tool for automated browser testing. Being an open-source framework allowed Selenium to be compatible with multiple test automation frameworks for different programming languages and if we talk about automation testing with Selenium and JavaScript, there is a particular framework that never fails to take the spotlight and that is the Nightwatch.js. This is why I decided to come up with Nightwatch.js tutorial for beginners. 54. Selenium Testing: Running First Pytest Script Selenium as we know, is an open-source test suite used for cross-platform browser automation. Due to its popularity and ease of use, many compatible test frameworks with respect to different programming languages have been developed to extends support of Selenium for cross browser testing over multiple programming languages. Today we’re going to look into Selenium Python tutorial to run our first automation script using PyUnit framework with Selenium. 55. How to Use JUnit Annotations In Selenium JUnit is a Java-based, open-source framework to help you execute unit testing. JUnit is used primarily to test each and every unit or component of your application like classes and methods. It helps to write and run repeatable automated tests, to ensure your code runs as intended. The framework offers support to Selenium test automation for web-apps or websites. 56. Automated Software Testing Using GitLab CI/CD And Selenium Grid We will configure a CI/CD pipeline with GitLab CI/CD and execute Selenium testing over it through LambdaTest, an online Selenium Grid of 2000+ real browsers. 57. Getting Started with Selenium Grid Browser Testing When performing cross browser testing manually, one roadblock that you might have hit during the verification phase is testing the functionalities of your web application/web product across different operating systems / devices / browsers are the test coverage with respect to time. With thousands of browsers available in the market, automation testing for validating cross browser compatibility has become a necessity. 58. WebdriverIO Tutorial With Examples For Selenium Testing WebdriverIO is Javascript based test automation framework built over nodeJs. It is an open-source project developed for the automation testing community. WebdriverIO is extendible, compatible, feature-rich, and easy to install. This is considered a Next-gen test automation framework which supports both desktop browsers and mobile apps. Which makes WebDriverIO a favourable option for Selenium automation testing. It supports BDD and TDD test framework. The latest version of WebdriverIO is 5.X. In this WebDriverIO tutorial for Selenium automation testing, I am going to show you how to start writing your first Selenium script of WebdriverIO. 59. Tips About TestNG Listeners In Selenium WebDriver With Examples There are different interfaces provided by Java that allows you to modify TestNG behaviour. These interfaces are further known as TestNG Listeners in Selenium WebDriver. TestNG Listeners also allows you to customize the tests logs or report according to your project requirements. TestNG Listeners in Selenium WebDriver are modules that listens to certain events and keep track of test execution while performing some action at every stage of test execution. 60. Selenide Test Automation: Using Selenoid in the Docker Container This article will be useful for young QA specialists, as well as those who are interested in the features and capabilities of such popular testing frameworks as Selenide and Selenoid. 61. Groundbreaking Tips On How To Use XPath In Selenium Identifying element has always been the trickiest part and therefore require an accurate and correct approach. If you are unable to find elements by the easily available approaches like ID, class, name, link or tagname then XPath in Selenium can help rescue you. Locating dynamic elements have always been the pain area while you wish to automate the scripts, the only ray of hope to deal with such fiascos is XPath. In my current article, I will be digging into the steps of locating an element via XPath example in Selenium and its various ways. 62. How to Handle Forms in Selenium With Java Learn how to access forms in Selenium WebDriver for automated browser testing of your web application and ensure a cross browser compatible experience. 63. Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs In this post we are going to scrape websites to gather data via the  API World's top 300 APIs of year. The major reason of doing web scraping is it saves time and avoid manual data gathering and also allows you to have all the data in a structured form. Thank you for checking out the 63 most read stories about Selenium on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

63 Stories To Learn About Selenium

Let's learn about via these 31 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Lambda /Learn Repo 1. The Fastest Way to Invoke a HTTP/REST URL from an AWS Lambda How to invoke HTTP and Rest requests from AWS Lambda without waiting. 2. What Causes Malformed Lambda Proxy Response and How to Fix it Malformed Lambda proxy response is a common configuration error in a serverless architecture. Learn what causes this error and how to fix it. 3. Creating API with Bash Code in AWS Lambda and API Gateway Amazon web services (AWS) is a powerful platform for almost every webservice you can imagine. With AWS API Gateway and Lambda you are able to create REST API’s with ease! API gateway is enables you to create the API. Lambda lets you execute code when the API is invoked. This code can be in many programming languages like Python or Node.JS. 4. A Brief Introduction to Lambda Expressions in Python Lambda expressions in python are one-time anonymous functions which we don’t need more than once. 5. How to Trigger Lambda with SNS Messaging: Going Serverless with AWS Do you love event-driven programming? Let's take a look at triggering AWS Lambda functions from AWS SNS messages. 6. How You Can Reduce Costs on AWS Lambda As a Serverless computing service, Lambda already saves hundreds of thousands of dollars for many companies out there. While traditional server-based infrastructures usually lead to overprovisioning and waste, the Serverless pay-per-use model enables cost-effective cloud spending. 7. Serverless API with Terraform: GO and AWS [Part 2] In part 2, we'll go over deploying serverless API to AWS Cloud with Terraform. 8. What is the ideal memory size to lower costs of running a task on Lambda? Should you increase Lambda memory? It might sound crazy, but increasing your AWS Lambda memory could actually lower your bills. Find out how. 9. How to Debug AWS Lambda Code with PyCharm Debug AWS lambda code locally without SAM or Docker. 10. Learn How to Use Lambda Layers by Building an Image Resize Function Using Sharp Lambda Layer is a true gem in the Lambda function realm. In this article, you will know how to create and use Lambda Layers. As an example, we will create a sha 11. Is Latency Slowing Down your E2E Tests? LambdaTest offers to make cloud browser testing 70% faster than traditional cloud test execution platforms. In this post, we understand the optimisations made. 12. Redefining Serverless: A Change in Approach and Architecture Serverless is a fantastic way of building applications, but there is a lot more to consider than simply Lambda functions. 13. Better Failure Detection in Serverless Apps Having reliable failure detection in place is a must for any application in production. Here's how to best achieve it for AWS Lambda. 14. An Introduction to Serverless Cloud Import Systems Python Cloud Importer was developed as a part of the Cloud AI Operating System (CAIOS) project described at a high level in a separate article. Here, we are going to provide a more detailed account of motivation and internal design of this part of the system. In this paper, a Serverless Python Importer will be covered in detail. However, general principles presented are equally applicable to any programming language. In order to understand why we decided to develop it why Cloud Importer plays such a crucial role in CAIOS, we first need to cover the basics. 15. How to 'Architect' an Easy Way into the Serverless World A easy way to jump to jump into the serverless world in AWS 16. Is There An Affordable Alternative To Step Functions? AWS Step Functions is a great service for orchestrating multi-step workflows with complex logic. It’s fast to implement, relatively easy to use and just works. The problem is its price. 17. A Guide to Python Advanced Features Python is a simple but expressive and powerful language. If you have learned the basics of Python, such as basic data structures and functionalities, then it's time to learn the complex features now. 18. Answering the Biggest AWS Lambda Questions Learn all about AWS Lambda, an Amazon serverless computing system that features a custom back-end service and real-time data processing >> 19. AWS Lambda: How to Set Up Private Storage in an AWS S3 Bucket to Upload Images We will deploy a serverless infrastructure based on AWS Lambda for uploading images (and any other files) with private storage in an AWS S3-based bucket. 20. The Crazy Thing That Happened to Me in Lambda School Our Student Journey 21. Adding Code to AWS Lambda, Lambda Layers, and Lambda Extensions Using Docker With Docker, we have three ways to add code to Lambda that isn’t directly part of our Lambda function. What does this mean? 22. An Introduction to the AWS Scheduled Lambda Function A solution using CloudWatch rules and alternative solutions. 23. Lambda Architecture: A Comprehensive Introduction and Breakdown Big data is on the rise, and data systems are tasked with handling it. But this begs the question: Are these systems up for the task? 24. How to Set up Selenium in Visual Studio for Automated Browser Testing of Web Apps In this Selenium C# tutorial, we are going to help you set up Selenium in Visual Studio and run your first Selenium C# example script. 25. Introductory Guide to Debugging Lambda Configuration Errors The “Lambda configuration error” is as generic as it gets but at the end of the day, it's a pathing issue. Let's go over how to resolve this. 26. Automating AWS Identity Center Permissions Management Event Driven Automation for AWS Permission Set Assignments 27. Receiving and Handling Emails with AWS and Amazon SES If you have B2C applications, you have to deal with support tickets and emails. According to user size, it can be difficult to handle emails with a person or manage same email address with multiple people for support mails. 28. An Intro to Build Automation Tools for Selenium Automation Testing Build automation tools are vital for Selenium testing, as they help to orchestrate the project build by automating the process. Read more to find out how! 29. An In-Depth Guide to AWS Lambda Error Handling In this article, we'll be discussing everything you need to know about the basics of AWS Lambda error handling. 30. How To Automatically Transition Jira Issues Using a Github Webhook What's this all about eh? 31. How to Handle Forms in Selenium With Java Learn how to access forms in Selenium WebDriver for automated browser testing of your web application and ensure a cross browser compatible experience. Thank you for checking out the 31 most read stories about Lambda on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

31 Stories To Learn About Lambda

Let's learn about via these 53 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Gitlab /Learn Repo 1. CI/CD Pipelines on GitLab and AWS: Speed Up Your Deployments Brief guide how to deploy websites with Gitlab CI to AWS S3 2. Technical Debt is Eating The World The concept is simple: due to a lack of resources, people sometimes do not address a problem correctly when shipping a new feature or fixing a bug. This debt must be repaid (e.g. the problem needs to be addressed correctly) or the debt will accumulate and impact the software development in the future. 3. How To Run Parallel RSpec Specs on GitLab CI In Ruby & Jest/Cypress Parallel Tests How to run parallel jobs for RSpec tests on GitLab CI Pipeline and speed up Ruby & JavaScript testing 4. GitHub vs GitLab: Which One Is Better for You in 2022? GitLab and GitHub are both popular cloud-based Git repositories. We compare the two to see if Microsoft has given GitHub the edge. 5. Git Bisect for Understanding the Root Cause of Regressions Your git fairy godmother will test and locate the bugs for you with a swish of her magic wand. All you need to know are the magic words: git bisect... 6. Debugging Rust Cargo Issues in Gitlab Straightforward moral of the story: always first check environment variables in CI settings. They can overwrite your configs and cause unexpected issues. 7. Git and GitHub Explained A brief introduction to Git and Github, two services that the vast majority of developers are intimately familiar with thanks to how incredibly useful they are. 8. Rapid Way to Publish Python Docs With Free Hosting and Domain How to create a documentation website based on markdowns and also publish it on GitLab Pages. And as a bonus, how to get a free domain like my-project.py.wiki. 9. How to Win Git and Influence Repositories: 15 Git Commands Every Engineer Needs The version control system is the foundation of the basics, without which it is impossible to conduct team product development in our time. 10. How To Rename Your Git Repositories From "Master" to "Main" Until recently, almost every Git repository had a default branch named "master". But thankfully, as part of a movement to make the tech industry more inclusive and open, many software teams and open source projects are moving away from this unhealthy naming. 11. Is There a 'GitHub For Data Scientists'? What if I say that there is a place where you can not only store your Data Science projects but also experiment on them right then and there? 12. Building Remote Teams: Lessons From The Gitlab Remote Playbook DevOps giant GitLab are one of the leading fully remote tech companies. They have produced a ‘Remote Playbook’ to guide companies looking to adopt remote workin 13. Understanding the Open Source Culture: Best Practices to Contribute Effectively Here are some of the best practices that you can take up for your next open source contribution. 14. How I Hacked a Gitlab Integration with Fastlane for Android So far, I have enjoyed using Fastlane as a CI tool for deployment of APKs on my Android projects. This post is just to build on what my friend Roger wrote about on his detailed 3 part series “Automating the Android Build and Release Process using Fastlane”. 15. How To Delete Files or Folders From Remote Git Repository GIT is great, it has made collaboration with other developers so easy, I can’t thank GIT enough. But GIT is vast and not every command remains on my mind. I find myself googling over and over again to get that right GIT command that can solve my problem. 16. How GitLab, Stanwood, Latchel and Canny Execute their Daily Standups with Remote Teams If you're planning to join a remote team in a tech role, wouldn't it be fun to imagine how your future life would look like? 17. What are the Best Dev-friendly collaboration Tools for Remote Teams? The right tools for remote developers can help engineers overcome most difficulties. 18. Hacktoberfest 2021: Everything You Need to Know Hacktoberfest is something you're gonna hear a lot about in the coming month. This open source celebration will be hosted by Digital Ocean for the 8th year. 19. Why You Can Sometimes Use git push -f: Rewriting Code Repository History One of the first admonitions that a young Padawan gets together with access to git repositories is: “never use git push -f”. Since this is one of the hundreds of maxims that a novice software engineer needs to learn, no one takes the time to clarify why this should not be done. It’s like with babies and fire: “matches are not toys for children”, and that’s it. But we grow and develop both as people and as professionals, and one day the question “actually, why?” may arise. 20. Doc-as-Code: Managing Content is Easy When it’s Distributed Few months back, I got a call from GitLab for a technical writer position.
One of the question was about treating document as a code and what’s my
view on that. The question was about treating document as part of a
continuous integration and continuous deployment system. That question
came at the time when I wasn’t treating doc as code and ironically, I now have a perspective. 21. Deployment Automation via SSH With Python Fabric: How It Works One of the most basic ways in which a project gets deployed is by SSHing into a remote host followed by executing a few basic commmands. In this article I'll be taking a look on how to deploy a basic project to a remote server through Gitlab CI using Python Fabric. 22. The Right Way to Use Git As a beginner programmer, you can be surprised to see that people care so much about what goes into the git repository. 23. An Easy README Makeover In 3 Simple Steps Oh yeah! We’re giving your README a makeover! 24. Understanding and Extending Kubernetes with Custom Resource Definitions API Intro 25. Here's What I Found on Scanning 2.6 Million Domains for Exposed Git Directories A scan of over 2.6 million domains revealed over 1000 publicly exposed git directories. Next to complete source code I found many credentials and api secrets. 26. How to Use Data to Run More Effective Virtual Meetings One heavily discussed topic in the context of this current global crisis is running effective virtual meetings. We needed to adapt to remote work quickly. Engineering is different these days. The difference between work and home has become blurry. People have a hard time setting boundaries between work hours and home hours. 27. A Handy Guide to Migrating Terraform State to GitLab CI/CD Migrating Terraform state to GitLab CI/CD is a GitOps best practice that allows multiple engineers to work together to develop infrastructure. 28. How To Manage Multiple Git Configurations Using the same computer for both work-related and personal projects may cause you to write Git commit messages with your private email on your work projects or vice-versa. That is assuming that you configured Git with the --global flag, which applies the configs to every repo on your OS user account. 29. How to Participate in Hacktoberfest 2021: Ultimate Beginner's Guide Hacktoberfest is round the corner and registrations are now open! 30. How GIT Works Deep Inside A short article about how Git hash-based decentralized filesystem work 31. How to Publish a Book with GitBook CLI and GitHub Pages in 7 Minutes Publishing a book or documentation online has never been easier than it is today. 32. Basic Git Commands If you’re a Software developer, you cannot live without interacting with Git and it is never too late for anything! 33. Git Basics: Renaming a Local and Remote Branch Git is a must for most of the developers and especially web developers.
But at times we make silly mistakes cause we are human. And when you  incorrectly named a branch and moved it to the remote server/repository. Then follow the below-mentioned steps before any other developer/team
member gets a chance to hop onto you and show you crap for not adapting to naming conventions correctly - 34. How To Improve Your Software Documentation by Connecting Gitlab with Mkdocs Producing documentation may be painful and need a lot of time to write and operate. In this story, i will share with you, my way of generating docs using the devops approach. To make life easier, we will explore the art of automation 😃. 35. GitLab Runners in EKS with AWS IAM When we started with Kubernetes, around June 2018, the most popular choice on AWS was kops. But later down the road we migrated to the managed solution provided by AWS: EKS. I think it happened around the time when AWS announced PCI and ISO compliance and it also helped that meanwhile the managed platform was becoming available in more and more regions (because in the summer of 2018 you could use it only in very few locations). 36. Getting Started with GIT And Github Have you ever thought that how these applications in our phone get updates? The answer is simple it is a Version Control System. 37. Use GitLab's CI/CD Tool to Run Parallel Tests How to run parallel jobs for RSpec tests on GitLab CI Pipeline and speed up Ruby & JavaScript testing 38. How Different Tools Enable a More Inclusive Language In Software Development World Are terminologies meaningful in software development? Yes, a lot! As developers, we’re continually writing code, and we do that by passing messages. Each message carries a lot of context and semantics. Therefore we’re always evolving how to do it in a better way. 39. Disproving 5 Remote Working Myths in 2022 There are a lot of myths around remote developer teams. We are busting them with the help of some of the best companies in the world. 40. Remote Work: GitLab CTO Eric Johnson Shares 10 Tips to Make the Most of the New Normal Eric Johnson, the CTO of GitLab (a FULLY REMOTE company with 1500 employees) shares his tips on how to manage a fully remote team async across timezones. 41. How to Use Gitlab CI/CD to Build, Test and Deploy a Spring Boot Web App Create a Spring Boot application, set up your server and configure Gitlab to build your app, run tests and automatically deploy it to your server 42. Pull Request Checklist: What You Need to Do Before Assigning a PR to Someone If you work in a team opening a Pull Request (or Merge Request) looks appropriate. It’s a common practice nowadays. However, have you ever thought about opening a Pull/Merge Request when working by yourself? 43. How to write Bash one-liners for cloning and managing GitHub and GitLab repositories Few things are more satisfying to me than one elegant line of Bash that automates hours of tedious work. As part of some recent explorations into automatically re-creating my laptop with Bash scripts (post to come!), I wanted to find a way to easily clone my GitHub-hosted repositories to a new machine. After a bit of digging around, I wrote a one-liner that did just that. Then, in the spirit of not putting all our eggs in the same basket, I wrote another one-liner to automatically create and push to GitLab-hosted backups as well. Here they are. 44. State of DevOps Cloud Solutions [Update: 2020] Every company claims to have a cloud/hybrid DevOps platform that enables and powers developers working remotely. Time to make order of the chaos.* 45. Learn How to Build a CI/CD Pipeline Using GitLab for your Website We'll run through how to build and configure a CI/CD pipeline to deploy your business's website using AWS, Terraform & Gitlab. 46. How To Improve Your Docker Build Time in GitLab CI Make your containerized CI environments truly useful by accelerating your Docker builds 47. Automated Software Testing Using GitLab CI/CD And Selenium Grid We will configure a CI/CD pipeline with GitLab CI/CD and execute Selenium testing over it through LambdaTest, an online Selenium Grid of 2000+ real browsers. 48. How To Setup Continuous Integration Pipeline By Using Terraform And GitLab CI Terraform is a fantastic tool for managing your cloud infrastructure, especially if your assets are hosted on multiple cloud providers. 49. To Code Is To Communicate: 8 Ways to Write Better Code Reviews When I started programming, Code Review wasn’t part of my routine. First, like everyone, I learned how to print Hello World in the programming language that was studying. Then, what is an if, while, for, and other essential structures. Sometime later, I was coding. 50. Lessons From GitLab—A $1 Billion Business With 700 Remote Employees A lot has changed since I shared my last article related on COVID-19 (the most recent strain of coronavirus), and how AI and Blockchain professionals and industry experts are tackling the crisis. 51. GitLab vs GitHub: Repositories, CI, Deployment, DevOps, Pricing, and Documentation Interested in understanding the debate of Gitlab vs Github? Which one is better in 2020? Which one should you pick? 52. The Results Of A Comparison Between Five CI/CD Services Introduction: 53. Top 13 GitHub Alternatives in 2020 [Free and Paid] If the black cat doesn’t seem cute enough, and you are looking for a reliable yet powerful GitHub alternative, this article unveils some of the top GitHub alternatives you can find today. Thank you for checking out the 53 most read stories about Gitlab on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

53 Stories To Learn About Gitlab

Note: This article was included in the by LambdaTest and also in of Software Testing Notes. 136th Coding Jag Issue #82 Greetings to all Cypress enthusiasts! A couple of days ago, I was approached by a member of our on Discord with a question about how to validate data from an file using Cypress. This prompted me to write this article. Cypress community Excel Looking ahead, I’ll just note that this is a rather simple matter, and is mainly based on setting up the corresponding event inside the Cypress configuration file to convert the original file to format and further work with the resulting file. But first things first. Node Excel JSON If you are not yet familiar with : Cypress Cypress is an open-source JavaScript-based testing tool designed for modern web test automation. Cypress has emerged as a popular end-to-end testing tool for web applications due to a bunch of its powerful features, user-friendly interface, fast test execution time, easy installation and debugging, etc. Cypress is a real game changer in e2e and component testing, and it grows at a rapid pace. And as you may have noted from my previous articles, I’m a big fan of that wonderful tool! However, it is obvious that Cypress is not intended for testing data, which in some test scenarios, can create some inconvenience if you need to validate data in files. Excel Excel Despite this, Cypress provides a way to do this, as I noted earlier, by converting the file to Cypress-compatible format. Excel JSON This allows you to test your source data using the same test suite that you use to test your web applications. Well, let’s imagine that in the course of executing some test scenario, we get a certain file in the directory of our project. In essence, the scenario can be anything, as well as the initial location of the initial file. And now, we need to test the data in this file. Excel cypress/downloads For example, I have a file in the directory companies.xlsx downloads with the data of some 10 non-existing companies: First, let’s convert the original file to format. Actually, there are several suitable for this, the most popular of which today (judging by the number of weekly downloads) is . companies.xlsx JSON npm packages SheetJS Let’s install it into the project by typing the following command in the terminal: > npm i xlsx Next, using the syntax of this package, let’s add a event to the function in the file. This will allow us to move from the browser environment to the environment and execute some functions in this environment. task setupNodeEvents cypress.config.ts Node JavaScript For example, let’s call our function , and with its help, we will convert the original file into format: convertXlsxToJson Excel JSON So, our function takes as an argument the to the original file — and uses method to read the file, as a result of which we get a certain object with a rather complex structure containing the data of the original workbook. Let’s analyze it in more detail. convertXlsxToJson path Excel filePath XLSX.readFile() workbook Excel The main element of object is object, whose properties are also objects containing the individual worksheets in the original workbook, where the are the names of the worksheets and the are the objects that represent each worksheet. workbook Sheets Excel keys values In turn, each worksheet object has its own set of properties, whose are references to cells in the worksheet (for example, , etc.), and the are objects containing information about the type of data in a particular cell, and also the value of the cell itself. keys A1, B2 values Also, object contains array with the of the worksheets of the initial book, while the order of the names in the array corresponds to the order of the worksheets in the workbook. workbook SheetNames names Excel In addition, object also includes a bunch of other properties that contain data about the original workbook. workbook Excel To retrieve the of the worksheet that includes the companies data table (obviously, it could have been any other worksheet), we access the value of the element of array. name first null SheetNames Next, using the obtained sheet name as the of the corresponding property on object, we get the worksheet object as the value of this property and put it in variable. key Sheets worksheet On the specified variable, we apply method to convert the worksheet data to format. As a result, we have an array of objects , in which each object corresponds to a specific row of the initial table. XLSX.utils.sheet_to_json() JSON jsonData Excel The properties in each object include the column headings and the corresponding data in the cells . Ultimately, our function returns array as the result of the event. (keys) (values) convertXlsxToJson jsonData task In general, at this stage, the task can be considered complete, since the variable contains data in format suitable for use in tests. However, let’s imagine that we want to write the received data as a file and place it, for example, in the directory. jsonData JSON companies.json cypress/fixtures To do this, we supplement our function with the following lines of code: convertXlsxToJson Firstly, we define variable, in which we place the name of the original file (without extension), obtained based on the value of variable using method. fileName Excel filePath path.basename() Using the specified file name, we set variable to the path to the resulting file in the directory. jsonFilePath JSON fixtures Finally, we use method from Node.js built-in module, which synchronously writes data to the resulting file as a -formatted string with 2 spaces for each indentation level using method. writeFileSync() fs JSON JSON.stringify() Thus, we set up our event in such a way that it accepts any file located at the specified , reads it and converts it to format, and also writes the resulting file to directory. task convertXlsxToJson Excel path JSON JSON fixtures Now, to test the original data of ten companies, let’s create a file in the directory. First, let’s add hook to our test suite, in which we will call our event, passing it the to the initial file as an argument: spec testExcel.cy.ts e2e before task path Excel After calling our event, the resulting file will be written in the directory: task companies.json fixtures with the following structure: After adding the tests, finally, our file will have the following content: spec So first, we define two variables: — the path to the original file and — the name of the final file, obtained based on the value of the variable using the and methods. xlsxPath Excel jsonName JSON xlsxPath path.basename() replace() Next, inside the hook, we use the command to load the contents of the resulting file as a , which we to access the specified content in each test. beforeEach cy.fixture() JSON fixture alias companiesData As possible examples of tests, I have given rather primitive demo tests. So, the one checks if our test file contains data for companies. The verifies that each company’s data contains values ​​for the four keys — “Company Name”, “Product”, “City”, and “Email”. three first 10 second non-empty And the test checks if each company’s data contains a email address. last unique Let’s run our tests in the Cypress test runner with the standard command: > npx cypress open We click on the name of the file in the test runner window and voila — our tests were completed successfully in less than seconds: spec 0.1 Final Thoughts Although Cypress can be used to validate data, this is obviously not the case for its core functionality. Cypress does not test files “under the hood”. Excel Excel Therefore, you should be aware of possible errors that may occur at the stage of converting an file to format, such as formatting errors, data loss, etc., which can subsequently lead to undesirable results. Excel JSON Despite the relative rarity of the described case and the comparative simplicity of the approach to solving it, I really hope that this article will be useful for improving your testing skills with Cypress. That’s about it. If you found this useful, share it with a friend or community. Maybe there’s someone who will benefit from it as well. To continue your journey with me and get more information about testing with the awesome tool, you might be interested in subscribing to my blog and getting notified when there’s a new useful article. Cypress “Testing with Cypress” The source code of all examples as well as the files presented in this article can be found in the of the blog on GitHub. repository Thank you for your attention! Happy testing! First published here

How to Test Excel Data With Cypress

Let's learn about via these 65 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Continuous Delivery /Learn Repo 1. DevOps 101: CI/CD [Explained] [This is part of a DevOps 101 Series written by Kat Cosgrove, Developer Advocate at JFrog.] 2. Releases: The Last Frontier of Standardization As software engineers, we strive to better our craft and leave a lasting mark on the organizations we work for. Throughout our careers, we balance two types of knowledge: the combination of business domain and technical stack is our bread and butter. Sometimes we might value the business domain over the technical stack and vice versa as we expand our toolkit. For example, we might work at a financial institution (let’s call it Acme Investment Bank) for a broad domain, but where the tech stack is not bleeding edge. On the other hand, we might roll the dice and work for a firm that has a bleeding-edge tech stack but where the domain is very specific, like a company that sells wine to your pets. 3. Delays in app delivery to Kubernetes Enterprises around the world are waking up to the containers and Kubernetes trend. There are numerous benefits of delivering an application as container packages to Kubernetes but at the same time, the process of app containerization and the subsequent app deployment to Kubernetes can hit many roadblocks. Since the idea of using Kubernetes and containers for app delivery is fairly recent, the transition from traditional delivery systems to these modern delivery systems is a bumpy ride. 4. There is No Continuous Delivery Without Continuous Testing Three Ways Automated Testing Closes the Gap Between Development and Delivery 5. Serverless Tekton Pipelines on AWS EKS Fargate Building an on-demand, server less Continuous Delivery automation solution using Tekton and AWS EKS Fargate 6. How to Integrate GitHub Actions and CI/CD With Your Next Python Project We're going to create a CI/CD pipeline for a typical Python package. The text focuses on practical aspects and should be enough to get you started! 7. How to Automate Kubernetes Deployments with Postman Kubernetes is the most widely used container-based orchestration platform today. Learn how to deploy apps with continuous delivery using Postman. 8. The #1 Reason Jenkins Fails Jenkins down? Pipelines broken? Hackers making off with your data? It often stems from one fatal flaw. While Jenkins has been both loved and hated for being DevOps duct tape, every user knows there are plenty of issues to deal with. Over the past three years, as part of my work at Codefresh I’ve been helping teams migrate from Jenkins and I’ve seen all of these issues over and over again. The biggest issue may surprise you because it creates a cascade effect. 9. Deployment Choice: Code Promotion vs Artifact Promotion When it comes to deployment, a choice must be made. Find out what's the difference in code promotion and artifact promotion 10. If Your Product Roadmap is a Gantt Chart, You’ve Got Another Thought Coming It’s been nearly four decades since Microsoft developed their Project application as an internal management tool to organize their various software development projects. In 1984, they released it to the public (on floppy disk…CDs didn’t really become a software download mechanism until the mid-90s), and within a few years it became the dominant project-management software for the PC universe. 11. Why Your Project's 1st Commit Should Have a Working App & CI/CD Pipeline Automating The Automation Behind DevOps 12. What is Lead Time and Why Does it Have So Many Definitions? In this post, I look at why there are so many definitions of lead time and how you can put them to use. 13. What Is the Difference Between Continuous Delivery and Continuous Deployment? Continuous Delivery and Continuous Deployment are two complementary practices that help teams get their software into the hands of users faster. 14. Efficient Deployment and Release Management “Do not deploy on Friday” is not a joke after all even if you have continuous deployment. With deciding to deploy anyway comes the subtle concern... 15. The State of the Continuous Delivery Developer Ecosystem Continuous delivery (CD) is a software development practice that enables developers to release small but frequent software updates reliably and safely. Closely 16. An Intro to QAOps in Continuous Delivery Systems In the common paradigm, dedicated QA teams solely focus on product quality. QAOps enables an efficient quality assurance process. 17. Netflix Tech Stack Has No Chill: How To Account for 15% of the World's Bandwidth Disclaimer: This is NOT a press release by Netflix. Just my honest review of tech that helps us binge great content without hassle. 18. How Continuous Delivery Helps Startups to Deliver Value The continuous model implies the frequent and predictable release of quality products. Let's understand the business benefits of Continuous Delivery. 19. Solving the Last Mile Problem for Continuous Delivery This post is the fifth and final article in our Tactical Guide to a Shorter Cycle Time five-part series. Read the previous post here. 20. A Comparison of Agile, Lean, and Continuous Delivery With DevOps and Continuous Delivery gaining traction, are the principles behind Lean and Agile still relevant? How do they compare to the 5 Continuous... 21. Deploy on Fridays, or Don't. There seems to be a debate that has gone on for quite some time now on the Twitters about whether or not you should do Friday deploys, and whether there should be Friday moratoriums, etc.  There are a lot of accusations being thrown around about fear, testing, time to recover, and the like.  To be very clear, I am not a big fan of Friday deploys.   That opinion is not based on merely how I feel about deploying on Friday, but also based on the science of it, as well as my learned experience. 22. 8 Fallacies of Continuous Delivery A quintessential piece for anyone working with distributed systems is the Fallacies of Distributed Computing by L Peter Deutsch. Even when working with modern platforms such as Kubernetes, the assertions made in the Fallacies of Distributed Computing prove to be very true around latency, bandwidth and system administration. 23. Building my Github Action to Deliver Doggoes to PRs Because who doesn't want good boys to show up whenever they push? 24. Simplified Spinnaker is Possible: I Never Thought About it Getting Spinnaker running is not an easy feat. Armory's Minnaker open source application gets you started in 10 minutes, so you can focus on Armory's value. 25. DevOps and Telco Sofwarisation - Part 1 In this series of articles, we will explore the convergence happening between the IT and Telecom industries, which is referred to as “Telco Softwarisation”. 26. DevOps vs SDLC: Optimizing the Software Development Cycle If you're using a traditional software development life cycle (SDLC) you may have questions about where DevOps fits in. 27. 7 Common Misconceptions about DevOps Metrics Metrics are crucial to DevOps and Continuous Delivery as part of the process of continuous improvement. However, you must balance collecting and displaying data 28. The Benefits of Automation Testing and How it Works Benefits of Automation Testing, Strategies and Best Practices. Get unique insights on how to implement automation testing fast! 29. The Science Behind High Performing Organisations [Book Review] 30. The Importance of a Continuous Delivery Culture Continuous Delivery is the ability to ship code quickly, safely, and consistently, and it’s a necessity for teams that wish to remain innovative and competitive. It’s focused on delivering value to the user and starting that feedback loop early — the ideal state of Continuous Delivery is one in which your code is always ready to be deployed. Many engineering leaders think of CD as a workflow and focus on the tooling and processes necessary to keep code moving from commit to deploy. But CD is more than just a process — it’s a culture. To effectively practice CD, you need to: 31. How to Get the Most Out of Heroku CI Continuous integration and continuous delivery (CI/CD) are best practices in today’s software engineering development process. 32. Learn How to Build a CI/CD Pipeline Using GitLab for your Website We'll run through how to build and configure a CI/CD pipeline to deploy your business's website using AWS, Terraform & Gitlab. 33. What the future holds: 5 core QA trends to rule 2022 Businesses continue to move forward on the digital acceleration path provoked by the pandemic, which means the demand for software testing will increase. What t 34. A Guide to Design Thinking and Continuous Delivery from an Ex-Principal Engineer How do the big tech companies and unicorn startups succeed in agile product development while maintaining code quality. 35. Improving the Working Environment for Developers - In 3 Stages Only … and incidentally establishing DevOps. 36. Creating and Deploying a Simple Helm Chart Learn how to create a simple Helm chart to package and deploy individual Kubernetes applications. 37. Dealing With Systems Debt Why relying more on juniors and less on seniors is essential in dealing with systems debt before the problem goes completely out of the team's control. 38. A-Z Of DevOps: Managing Multiple Environments With The Help Of These Tools In most DevOps settings you’ll find that there are multiple environments in the pipeline. You might have conditions that change the environment based on which branch was merged or when a branch is tagged for release. There are a number of reasons you want to have more than just a production environment, the biggest reason being testing. 39. How to Apply Lean Production Principles in Software Development Lean production is not a new concept. It comes from the manufacturing industry and was polished by Toyota in the seventies. However, Lean manufacturing principles turned out to be so practical and universal that they can be used to create innovations in other industries as well. In the Information Technology (IT) sphere, they are frequently used with the Six Sigma Principles, and in this article, we will explain what each principle means for Lean software development. 40. The Next 11 Things You Should Do For CI/CD Pipeline Optimization Many engineering teams are making the switch to a DevOps culture. This has a lot to do with the way the software development cycle has changed over the years. It used to take months to implement a new feature, get it through testing, fix any issues, and finally get it to production. 41. Using Spinnaker with Kubernetes for CI/CD Kubernetes is now the de-facto standard for container orchestration. With more and more organizations adopting Kubernetes, it is essential that we get our fundamental ops-infra in place before any migration. This post will focus on pushing out new releases of the application to our Kubernetes cluster i.e. Continuous Delivery. 42. So, You Read Accelerate. Now What? “Our analysis is clear: in today’s fast-moving and competitive world, the best thing you can do for your products, your company, and your people is institute a culture of experimentation and learning, and invest in the technical and management capabilities that enable it.” – Nicole Forsgren, Jez Humble, and Gene Kim, Accelerate. 43. Speed and Quality are Not Mutually Exclusive: Telemetry is the Key All engineering teams strive to build the best product they can as quickly as possible. Some, though, stumble into a false dichotomy of choosing between speed and quality. While that choice may have been necessary in the past, it’s not the case today. 44. Publish NPM packages using GitHub Actions: A How-To Guide NPM automation tokens allow us to publish 2FA-protected packages from automation workflows. 45. What's the difference between Continuous Integration and Continuous Delivery? There is plenty of content out there describing what Continuous Integration, Continuous Delivery and Continuous Deployment are. But what are these processes for in the first place? 46. The CI/CD Model Development Process Continuous Integration (CI) and Continuous Delivery (CD) are staples of a modern software development workflow that enable developers to release their code rapi 47. DevOps Shouldn't be Hard: Configurating CD Server I wanted to write this guide for a while because DevOps is one of the things that is not discussed much yet there are a few straightforward actions that you can integrate into your workflow that will make your developer life much easier. 48. Guide To Pursue DevOps Agile Development Cycle And Develop a Better Software The rise of DevOps and Agile methodologies is apparent to anyone closely following the business world. Just last year, there was an 18 percent increase in DevOps adoption. Most business owners see the benefits of embracing both DevOps and Agile. With these methodologies in place, developers are able to get projects done in a timely and efficient manner. 49. DevOps and Telco Softwarisation - Part 2: A Simple CI/CD Example Image courtesy of Pixabay 50. Staging Environments are Too Important to be Overlooked: Here's Why Many development teams skip having a staging environment for their applications. They often submit a PR, potentially run tests in a CI system, merge to master, and then deploy to production. This is a risky pipeline because there is no true integration environment or integration testing being performed. What’s worse is that if there is an issue they may engage in “cowboy coding” to try to resolve the issue on their live production environment. 51. DevOps Shouldn't be Hard: Deployment Reports Previously, we managed to make our app redeploy on each commit. As you can remember, we get the status of deployment by processing script execution results. So let's use it to send a notification to ourselves each time we deploy our code. 52. Start To Take Actions with Buddy Buddy is the underdog of the CI/CD world. It's a frustrating world, filled with broken Jenkins servers and exhausting CodeBuild UIs. I discovered Buddy about a year ago and I've been raving about it ever since. It offers a different approach to a complex, difficult problem. 53. 15 of the Best Continuous Delivery Tools Continuous Delivery is one of the best practices for software development, but what are the best tools for it today? Here are my picks. 54. Secrets Your Parents Never Told You About Creating High-Performing Teams How can teams perform at their full potential? 55. I have a confession to make… I commit to master. I used to preach about Git Flow to keep my code releasable, rollback-able, and keep a clean history. But not anymore — now, bad code doesn’t make it into my codebase. 56. Implementing Blue/Green Deployments with Azure Web Apps for Containers Using Deployment slots, we can perform Blue/Green deployments in Azure App Service to achieve zero-downtime deployments for our containerized workloads. 57. Buddy Vs Jenkins: Technical and Tactical Differences Buddy and Jenkins find themselves on completely opposite ends of the CI/CD spectrum. So which one should you go for? It certainly is a question of context. There are some clear technical differences but how they relate to actual value is circumstantial and should be taken on a case by case basis. As such, this comparison will be broken down into two sections. 58. Automatic Cross-Platform Deployments with Electron on a Travis CI Server This is a tutorial on how to setup an Electron app on Travis CI, so that new versions are deployed to Github Releases with a simple pull request. 59. With GitHub Actions, you don’t have to do boring tasks manually ever again Check out this guide and spin up a GitHub Action for your favorite stack fast—like Stack Overflow copy & paste fast. 60. DevOps Practices for Software Engineers to Learn In this world of cross-functional teams and microservice architecture, DevOps skills become increasingly important, and that starts with understanding CI/CD 61. Accelerate your Software Delivery With CI/CD Practices Are you looking to transform your software development process? If yes, this blog post provides an introduces to orchestrating  the CI-CD pipeline with AWS. 62. GitHub Actions: How To Deploy To Google Kubernetes Engine GitHub actions and workflows are great. We use them to deploy a web app to different cluster environments and I want to show you how we did it. Hopefully, this helps to simplify your deployment process as well. I’ve also written a companion article that describes our GitHub workflows for continuous integration. 63. How to Use Platypush to Set Up Self-Hosted CI/CD Git Pipelines How to use Platypush to set up self-hosted build and test pipelines for your Gitlab and Github projects. 64. The Evolution of DevOps: Lessons for Organizations of all Sizes Having someone to lead the DevOps space early and instill the culture will reduce overall release cycles friction and shorten the time to market. 65. Automated Software Testing Using GitLab CI/CD And Selenium Grid We will configure a CI/CD pipeline with GitLab CI/CD and execute Selenium testing over it through LambdaTest, an online Selenium Grid of 2000+ real browsers. Thank you for checking out the 65 most read stories about Continuous Delivery on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

65 Stories To Learn About Continuous Delivery

104 Stories To Learn About Continuous Integration

274 Stories To Learn About Code Quality

341 Stories To Learn About Cloud

139 Stories To Learn About Cicd

Using automation testing tools is an excellent way to go about the verification of your product. Most organizations do this often to ensure that their products attain the standard requirement. Specific resources are used to carry out testing on a product. They are known as . automation testing tools Most people who want to be successful in the software business always ensure they develop their products and maintain the standard. Like how technology has changed over the years, testing has also changed. In previous years, the developers did testing products manually, but now, testing is not only done automatically but has more development. Organizations use testing to reduce their workload and ensure that they get the right and accurate results with testing. Subsequently, we will discuss the most popular automation testing tools, but we need to know what automated testing is before doing that. What is Automated Testing? Automated testing is when one tests software products to know if it meets the required standard. Automated testing tools are used to carry out this process, and there is no need for human interference with the process. When you carry out automated testing, it helps you compare the expected and actual results.  This lets you know if the product is a success or failure. Another point about automated testing is that it helps simplify tests, and you can always do it whenever you wish. How Important is Automated Testing? A team with many products to develop will certainly not have much time to test products manually. Automation testing helps them save time. Automated testing also helps ensure that you are efficient with product testing through accuracy, leading to better results from your products. Testing a product can be time-consuming, leading you to test left often. But with automated testing, you can test your products regularly. Automated testing helps your team build their confidence. It ensures that the products they developed are ready for market. It also allows your team to direct their focus on other unfinished projects. What is an Automation Testing Tool? You can use an automation testing tool to run tests on your software products. They are tools that remove human error with testing techniques and can work across various mobile, web, and desktop platforms. There are types of automated testing tools, and they are; Open-source tools Non-production tools Desktop tools Codeless tools Web tools Mobile tools Production tools Hybrid tools What are the Most Popular Tools for Automation Testing? Using automation testing tools helps save time, reduce the cost of spending, improve the quality of your product, and provide accuracy in testing. LambdaTest LambdaTest is a very suitable tool for testing web and desktop applications. It is a cloud-based tool that you can use to carry out automated testing on frameworks such as mobiles and browsers. LambdaTest is a tool that helps you reduce the time you put into testing by fast-tracking the process, and it can also help you perform tests simultaneously. For example, it works for other programming languages such as Python and Java. Many automation testing tools users like to screen record or screenshot the compatibility of the tools with their browsers, so LambdaTest offers you a chance to do so. Selenium Selenium is another testing tool that most users have rated for good testing across web apps and browsing platforms. Jason Hugging developed the Selenium tool in 2004, a tool that can work with other automated testing tools. Selenium is a tool that helps you think of browser–focused test scripts that are powerful and can work in multiple testing environments. If you need to make scripts that can help multiply bugs and carry out regression and detailed tests, then Selenium can help you. Selenium boasts of being a part of JavaScript developer tools because you can use it to work with JavaScript. You can also use it for other languages such as PHP, Ruby, Groovy, Scala, and Perl. Selenium is not a single testing tool because it has components. These components are: Selenium Grid WebDriver for Selenium Selenium Remote Control Integrated Development Environment (IDE) Selenium Client Selenium API (Application Programming Interface) Enzyme A developer who creates a react app will need this tool to test the developed mobile and web app. Enzyme is a JavaScript testing tool that lets you easily control React and explore its components’ results. Airbnb created Enzyme, which can work with testing tools like Jasmine and Mocha. It comes with Chai-Enzyme, which is a useful plug-in. Newbies who are just using React JS for the first time can use Enzyme as a tool you can quickly learn. Appium Appium is an open-source automation testing tool that is primarily for mobile applications. You can easily install and use it without issues. It works for people building an app with Javascript because it only works with the JavaScript programming language. Like TestComplete, you can use it with testing systems like CI/CD, and it works for mobile web apps associated with Android and IOS. Katalan Studio Some open-source tools can carry out thorough automated testing across various web, desktop, mobile, and API frameworks. Katalan Studio can carry out such tasks. Katalan created Katalan Studio in 2015, and its working model is similar to Selenium and Appium testing tools. It has a free version for testing; therefore, you can use it for trials when testing your products. TestComplete For people who are into JavaScript app development, the TestComplete tool is recommended for testing their products. TestComplete works with programming languages like Python, VBScript, C++, and Java. It has attributes such as compatibility with testing structures like CI/CD and SmartBear Ecosystem and cross-device testing. It is a tool that you can use across frameworks like mobile, desktop, and web apps.

A Closer Look at the Most Used Tools for Software Testing

In the common paradigm, dedicated QA teams focus solely on product quality. As the competition between products and teams that deliver them has grown, QA teams have started enhancing the existing process. QAOps is the new approach in testing that enables an efficient quality assurance process. Similar to DevOps, which involves tightly connected development and IT infrastructure operation teams, QAOps becomes essential as it integrates quality assurance, IT operations, and software development processes into one highly effective and cohesive process. It's about ensuring that QA forms a part of your CI/CD pipeline and their ongoing collaboration throughout the entire software development lifecycle. QAOps: What is it? To explain this trend in quality assurance in more detail, let’s look at a few true and false definitions of QAOps. This infrastructure allows teams to run autotests on CI/CD platforms and get reports. One cannot build a QAOps infrastructure and process separately from CI/CD pipeline. The crucial difference between DevOps and QAOps could be defined in the following way: the latter focuses exclusively on the infrastructure for remote test case execution. *.* QAOps is a practice, a methodology that cultivates healthy quality product creation culture. “Healthy” in this context means that the complexity of the product doesn’t have a negative impact on process efficiency. With the growth of complexity, QAOps becomes more and more necessary, which may require the involvement of automation testing specialists or a dedicated QAOps professional to address the issue. QAOps is not a specialization, nor a team role The responsibilities of an engineer who does QAOps work include not only the development of the QA automation framework but also configuring remote automated testing run, gathering data about its flow, reporting, and distributing of results via communication channels. QAOps process specifics The effect described above stems from the inability of the traditional QA framework to stay efficient within Agile product teams. The QAOps-driven process aims to integrate testing practices at every stage of the product delivery pipeline. A QAOps framework is based on a shift-left paradigm. Unlike in the Waterfall-like process, testing comes into play one stage earlier than in conventional paradigms. Elements that contribute to the success of the shift-left paradigm include environment standardization, build and deployment automation, and testing automation. When to introduce QAOps? There are two common situations when teams decide to introduce QAOps. When one needs to introduce and configure the QAOps process, either an automation QA engineer skilled in QAOps or a tandem structure including a DevOps team and an Automation QA team may fit well. The combination of CI/CD proficiency with QA automation lays the groundwork for great QAOps processes. The CI/CD product infrastructure isn’t optimized for automating quality assurance. which requires QA automation engineers to have deep knowledge about configuring, maintaining, or enhancing it. This complexity becomes a bottleneck for product growth. In this case, a QAOps engineer or any automation engineer with the knowledge of DevOps spearheads the process transformation. The testing infrastructure is very complex, Techstack case We don’t have dedicated QAOps engineers on our product teams as a common practice. However, we’re always ready to jump in when it’s necessary as we have QA Automation, DevOps expertise, smooth communication within teams, and a thirst for new challenges. For most cases, a distinct QAOps role has limited involvement time in a project, whereas we look for long-term relationships with both partners and team members. That’s why we tend to ensure QAOps results from the hard work of different collaborative functions instead of from hiring a professional for a short time. In addition, the constant need in process configuration is more favorable for products with very large product teams and numbers of processes to run. QA Automation engineers at Techstack can configure CI/CD infrastructure on their own when only consulting with a DevOps team: deploy, update, adjust, etc. QAOps architecture and stack Technology stack for each QAOps framework layer, usually employing the following tools: : Jenkins, Team City. CI/CD pipeline : Docker containers, AWS, Digital Ocean, Azure. Cloud infrastructure : LambdaTest, Selenium, Katalon, BrowserStack. Remote browser access JMeter, K6, Octoperf. Performance: : Allure, Report Portal, Data Dog. Reporting The four pillars QAOps stands on Besides the architecture and tech stack, the framework is founded on several core principles. Hidden bottlenecks in an application's performance should be revealed to ensure it can scale. To adjust testing for custom needs of the application, QA engineers and developers define testing types together, as well as their frequency and amount. Scalability. . If you can’t automate, you can’t scale. Save time on different stages of product development using an automated testing approach, allowing you to reduce the need to run frequently used tests such as regression, non-functional tests by hand. Automation You may do several test processes simultaneously and provide better quality assurance speed. Together with manual and automated testing, you parallelize testing across system features and modules. Parallelization. . Now as you applied three previous pillars, the last step towards implementing QAOps is to imply quality assurance activities into the continuous delivery pipeline. Among the most common ways to incorporate development and infrastructure operations with QA is to have test cases written by developers. Integration Summary QAOps is now essential for teams that automate their delivery pipelines. With the growth of the product and the number of people and processes, it becomes increasingly valuable to choose the right infrastructure and the right system architecture to scale. Once introduced, the QAOps process in CI/CD pipeline saves effort and shrinks costs of products used on testing.

An Intro to QAOps in Continuous Delivery Systems

For most developers and engineers, the working week is pretty hectic. You have a long list of tasks to complete, and only so many hours to get them done. Perhaps this is why developer productivity tools are so popular. If you choose the right apps, you can save yourself a big chunk of time and a whole heap of hassle. To help you build the , we went looking for the that are currently trending in coding communities. ultimate workflow developer tools Keep reading for a run-through of the standout solutions — from communication platforms to top code repositories. The Best Project Management and Issue Tracking Tools🚀 No matter what you’re working on, staying organised as a team and keeping track of issues are both absolutely essential. Here are some trending tools that can help you to maintain complete control over your process. 1. — Lightning Fast Issue Tracking and Management Linear Another up-and-coming issue tracking tool is Linear. This platform has won plaudits for its sleek interface and lightning-fast performance. While Stepsize provides inline issue tracking, Linear is closer to a project management tool. It can handle tasks, sprints, lists, and boards — and it even works offline. Perhaps the best feature in terms of developer productivity is Linear’s keyboard navigation. Using shortcuts, you can access almost anything within the app. : Free, paid plans from $8/mo Pricing 2. — Flexible Project Management Asana While Asana has been around for many years, the popular project management app is now gaining new followers, thanks to some great productivity features. In particular, Asana can adapt to pretty much any management framework: Kanban boards, Gantt charts, , and so on. You can also work in roadmaps, and track bugs, all within an app that has collaboration options. Agile sprints Just as importantly, Asana has embraced automation, with conditional workflows and streamlined approvals. Free, paid plans from $10.99/mo Pricing: 3. — The First Issue Tracker for Engineers Stepsize With features that allow Engineers in the editor, Stepsize has been a hit with developers lately. track issues Our platform works with VSCode and JetBrains editors to make it easy to link code to issues. It helps engineers to prioritise codebase issues, such as technical debt, and any problems they might come up during the development process. You can also connect your favourite for easy sprint planning, and hook up your existing issue tracking workflow to monitor your . project management tools technical debt In fact, Stepsize is specifically designed to be placed on top of your existing toolkit. This means that adopting this platform causes zero disruption to your process. It works with Visual Studio Code, Asana, Github, Jira, Linear, and many more apps. Free, with Pricing: paid plans from $15/mo The Best Communication Tools for Software Developers🎙 Keeping strong lines of communication is vital for any development team, particularly in remote companies. These top tools should help you and your coworkers to stay connected. 4. — Distraction-Free, Asynchronous Chat Twist While live messaging still has a place, many teams are now switching to asynchronous messaging, which allows people to collaborate across different work schedules and timezones. Twist is one of the apps leading this change. Designed specifically for asynchronous communication, it can best be described as a slower, more considered version of Slack. There are no notification dots and no presence indicators, and the UI is very clean. It strikes a really nice balance between encouraging teamwork and avoiding distractions. : Free, paid plans from $5/mo Pricing 5. — Powerful Chat With Loads of Integrations Slack We can’t really talk about collaboration without mentioning Slack. Like Asana, this chat platform has been a major player for some time now. However, Slack keeps improving. Just within the past year, the app has added instant audio meetings (“Huddles”), scheduled messages, and easy screen recording. You can also now message clients and external partners from within your Slack workspace, while the list of integrations continues to grow. : Free, paid plans from $6.67 Pricing 6. — Improve Sound Quality on Video Calls Krisp For remote teams, video calls are an essential form of communication. Unfortunately, people don’t always join from a serene office — so everyone else has to concentrate hard to hear what is being said above the sound of barking dogs or the hubbub of a busy coffee shop. Krisp is designed to solve this issue. The app uses artificial intelligence to enhance the voice you’re trying to hear and reduce the background distractions. It also cuts out the annoying echo you sometimes get. It works on Windows and Mac, with support for over 800 communication apps. : Free to download, paid plans from $5/mo Pricing The Best Code Repository Hosts 🏪 While and communication are important, you’re probably going to spend more time in your chosen code repo. Here are some hosts that will help you get things done. task management 7. — Still a Great Repository Host Github The reason Github is on this list? Well, it’s always trending — and for good reason. This wildly popular host is packed with useful features, such as bug tracking, personal and private repositories, release binaries, access management, and a long list of automation commands. Just as importantly, both Git and SVN are supported. The other attractive elements of Github are the community aspect, and very generous pricing — you can host unlimited free repositories. : Free, paid plans from $40/mo Pricing 8. — A Slick Hosting and Deployment Workflow Beanstalk While Github is a little more biased towards public repositories, Beanstalk is designed specifically for teams that want to host private repos. In other respects, these two hosts are quite similar — although developers appreciate the easy FTP deployment provided by Beanstalk. As used by Intel and Citrix, this solution also offers a slick interface and nice . It’s definitely a rising star to watch. code review tools : Free, paid plans from $15/mo Pricing 9. — An Atlassian-Powered Rival to Github BitBucket If Github is the market leader in repository hosting, BitBucket is probably the standout alternative. Powered by the behemoth that is , this platform gives developers greater control over branch permissions and workflows. Atlassian While Github is well catered for in terms of integrations, BitBucket also offers deep support for third-party APIs. Teams that use Trello will be particularly pleased with the level of integration. One other area in which BitBucket excels is for projects that rely on big files, as the platform provides full support for Git Large File Storage (LFS). : Free, paid plans from $15/mo Pricing The Best Deployment Solutions 🔬 Some of the hosts mentioned above provide simple deployment features. But if your project is complex or beyond a certain scale, you may find that these dedicated apps provide a more robust option. 10. — Fully Integrated DevOps Management Gitlab In many respects, Gitlab is a next-generation deployment solution. It combines the essentials of planning, packaging, and release with DevOps features like configuration and monitoring. Gitlab is optimised for the cloud, with full Kubernetes integration and a container registry. The platform can also adapt to your CI/CD preferences, while managers can take full control thanks to a single permission model. These features could work for any team, but Gitlab is particularly optimised for remote teams. : Free, paid plans from $19/mo Pricing 11. — Easy Deployment and DevOps for Salesforce Apps Flosum Okay, so this one is a bit niche: a DevOps solution designed specifically for apps. Salesforce But the truth is, Flosum can’t be ignored. This platform has received almost universal praise from developers, including teams from Visa and Amazon. The features that make Flosum stand out include native version control, strong security, and unmatched integration with Salesforce, such as full support for Lightning Components. Plus, it works with Git, Selenium, , Azure DevOps, and other third-party tools. Jira : Free trial, paid plans on request Pricing 12. — Continuous Deployment for the Cloud AWS CodeDeploy Given the popularity of using AWS for cloud apps, CodeDeploy is an obvious inclusion for this list. The service helps to automate deployment to EC2 or local instances, and even Lambda functions. In fact, CodeDeploy can handle almost anything you throw at it. The list includes code, multimedia files, executables, scripts, and much more. And like most other Amazon services, it’s highly scalable. While CodeDeploy is somewhat lacking when it comes to third-party integrations, it’s a worthy choice for any AWS-based setup. : Free for cloud deployments to AWS, or $0.02 per on-premises instance Pricing The Best Testing and Monitoring Tools for Development Teams 🕵️‍♀️ is an important part of the development process, and it’s an area that is seeing a lot of innovation. Here are a few of the tools that are leading the way right now. Testing 13. — User-Friendly Concurrent Testing Ghost Inspector In many cases, testing for web applications can be completed using local browser tests. But there are limitations to this approach. In particular, you need someone with good technical knowledge just to run such tests. Ghost Inspector makes the process much easier and quicker. Through one clean interface, you can create and manage tests for a wide range of web technologies. With an eye on productivity, the platform can run over 50 tests concurrently, and it integrates with HipChat, Slack, PagerDuty, and other apps. : Free trial, then paid plans from $89/mo Pricing 14. — Simplified No-Code Testing Stacks TestSigma Another service that is aiming to simplify testing is TestSigma. This fresh-faced tool allows developers and QA teams to build comprehensive testing stacks without a single line of code. The tests can be created using written commands, or by recording actions, and you can run them online or in the cloud. TestSigma covers over 800 browsers and 2,000 devices, with detailed real-time reports and nice debugging features. This app even has an “auto-pilot” feature, which lets you hand over maintenance tasks to AI. : Open source for local testing; free in the cloud, with paid plans from $349/mo Pricing 15. — Comprehensive Selenium-Style Testing LambdaTest Offering support for over 3,000 browser and operating systems, LambdaTest is a truly comprehensive testing platform. You can use it on web and mobile apps, and the platform claims to be even faster than local testing. Another benefit of using LambdaTest is that you can use the platform to automate Selenium tests. If you have a different preference, the platform can handle Appium, Cypress, and JavaScript just as well. Other notable features include powerful debugging tools, and the option to test geo-location. : Free, paid plans from $15/mo Pricing More Useful Software Developer Tools 💡 Even outside the categories mentioned above, you can find great software development tools that enhance productivity. Here’s our pick of the bunch. 16. — Goodbye Spreadsheets, Hello Live Data AirTable Remember all the data you have been storing in oversized spreadsheets? AirTable provides a much more flexible platform for storing and sharing information. Just as importantly, the platform offers deep integration with all your favourite apps. : Free, paid plans from $10/mo Pricing 17. — Clean Up Your Code With a Click Prettier In simple terms, Prettier is a code formatter that makes your code...well... prettier. In addition, the one-click formatting finally puts an end to debates over styling. It works with most popular editors, languages, and frameworks. : Free Pricing Choosing the Right Developer Productivity Tools 👀 As we have seen, productivity tools for come in many forms. In this post, we only had space for just a few highlights. software developers If you are thinking of upgrading your workflow, ask yourself — which tasks are currently slowing you down? Which tasks could be automated? And could investing in a new solution actually save you time and money in the long run? The answers you come to should reveal where tools can improve your productivity. Once you have identified some areas for improvement, be sure to create free or trial accounts at a few different providers, and keep an eye on sites like and to spot fresh new solutions. Product Hunt Refactoring Library

17 Apps to Boost Developer Productivity

Build a Single Page Web3 App with Vue 3, Vite and Pinia

Cree una aplicación Web3 de una sola página con Vue 3, Vite y Pinia

You might have heard the 'glass half full or half empty' conundrum. Let me solve it for you from a tester's perspective- . Jokes apart, being a in web testing and working closely with industry, I've seen the nuisance businesses face due to website failures. To a good tester, the glass is twice as big as it needs to be researcher Yes, we all know that everything is online. Thanks to the pandemic, businesses thrive on websites. Just one bug, and you can lose your customers. I've written this story for everyone interested in learning web testing, whether you are a newbie or a small business who wants to learn how to keep your website running smoothly without any error. Here is my message for the universe: " "! The Force Is Strong With Test Automation Source So what's test automation in general, and how does it play a role in web testing in particular? Let's explore. What is Test Automation? Software testing is mainly achieved in two ways: automated testing manual testing. is typically done by a tester who himself manually performs the testing processes (i.e., write test cases corresponding to the various test scenarios). In contrast, uses framework and automation tools to generate and execute automated test scripts. Automated testing increases the overall efficiency of software development by reducing manual effort and saving the time spent on various repetitive tasks. Manual testing test automation Automated Web Testing The software industry as a whole is being transformed by web automation testing. Web automation testing is achieved through a proper testing tool that can generate customizable and reusable test scripts. These tools automatically record the user actions performed on the web application in the form of test scripts and then re-execute test scenarios with the same or different test data on the web application under test. It has simplified the testing process for testers, allowing them to detect and handle errors in the development process quickly and easily. This whole process is referred to as “end-to-end (E2E) automated web testing”. ensures that web applications are functionally correct and working as expected. Furthermore, it also guarantees that the changes are pushed regularly, resulting in an updated web application being supplied to customers via a well-organized workflow. E2E testing Working of Web Test Automation Tools Top 5 web test automation tools for 2022 The cutting-edge software development methodologies like Agile and treat software testing as a standard process and demand test automation tools to produce a high-quality product at a fast pace. Successful test automation is achieved by identifying the right tool for the right project. An effective testing process requires appropriate and readily available tools in the market. DevOps Testers frequently use Capture-Replay (C&R) tools to enable the automated testing of their applications. These tools have been developed for testing the applications against graphical user interfaces. Using a CR tool, the interaction between a user and the application is recorded. Various C&R tools exist, varying in capabilities and features. The availability of several open-source as well as commercial automation tools has made the selection difficult. Here, we also need to know that there is no one-size-fits-all automation tool. Generally, the selection of appropriate tools depends on the following factors: Open-source Support various operating systems and browsers Nature of software Client requirement Project Budget Feature-rich Easy to use Team expertise Test Automation Tools The five most popular open-source test automation frameworks are: : Selenium IDE is a widely used tool for web application testing. When it comes to web test automation, Selenium is always considered as best among the lot. It is an open-source test automation tool and compatible with multiple browsers, operating systems, and supports many scripting languages, including Java, Ruby, and Python Selenium : Appium is an open-source automated testing tool specifically designed for mobile apps. It also supports the test automation of iOS and native, hybrid, and mobile web applications. It has gained immense popularity and emerged as one of the best mobile automation testing tools. Appium : TestComplete is a popular testing framework available for mobile, web, and desktop applications. The test scripts generated through this tool can be exported in scripting languages such as VBScript, JavaScript, and Python. It can also facilitate other multiple testing activities, including data-driven testing, keyword-driven testing, and regression testing. This tool has a salient feature of record and replay which makes it easy to use for the testing community. TestComplete : LambdaTest is a well-known tool for testing the cross-browser compatibility issues of web applications. It provides a cloud-based infrastructure where testers can execute test scripts to test their website on multiple browsers and operating systems to find presentational inconsistencies, flaws, and other bugs. It also has a feature of capturing screenshots of web applications on various operating OS, devices, resolutions, and browsers. LambdaTest Testim uses artificial intelligence to develop robust and customized test cases for web application testing.  These test scripts can execute simultaneously on several browsers, and as a result, generate detailed bug or fault reports. Testim is easy to use for both novice and experienced users because it develops code-free tests. Testim: Benefits of  Test Automation in Web Testing: Since due to the thorough testing performed by the tester from the perspective of the user, it increases the confidence in the functioning and performance of the application before its release to the public. 1)     Functional testing from the user’s perspective: : The end-to-end testing of the application is performed after each sprint and especially when the new version is launched in the market. 2)     Minimize chances of future risks End-to-end testing minimizes the likelihood of frequent failures and also the amount of time spent on testing. 3)     Reduce effort for repeatable tasks: As the application is completely tested from beginning to end, it does not require additional testing. This cuts testing costs and time in half, while also maintaining the same efficiency in other operations. 4)     Reduced Cost and Time: Web Testing Automation Challenges: “It’s automation, not automagic” - Jim Hazen Despite having enormous advantages, web test automation is also facing some challenges. The developers and researchers are very actively developing and designing innovative solutions to cope up with these challenges. It includes the following challenges: Overall, end-to-end testing is one of the most successful methods for ensuring the performance of web applications. has become more dependable and widely embraced as a result of the benefits it provides for web testing. Now is an excellent time for organizations to start learning and adopting this testing technique. End-to-end testing

Web Testing in 2022: The Force Is Strong With Test Automation

In many modern software development workflows, before a developer can deploy their work, they need to run a set of automated tests as part of the build process. These tests usually involve many quick, small , some and fewer bulky . unit tests integration tests end-to-end (E2E) tests A little while ago, I was tasked with helping a dev team improve their build times. When we drilled into these build times, we found that testing was the main lag. To measure improvement I found that are two essential metrics that are vital to track when reducing software build times; test duration and test failure rate. If the test takes too long to run, it will obviously delay the build. Additionally, if the test fails too often and the build needs to be rerun in order to pass (a ), that will also delay the build process. flaky test Selenium offers a suite of open-source tools useful for E2E testing. In a previous HackerNoon article, Rahul Jain for E2E testing and also described how you can use LambdaTest’s Selenium Grid to speed up the process. introduced the Selenium WebDriver LambdaTest does offer some nice tools to help speed up software tests, like running tests in parallel, showing dashboards to monitor which tests are flaky and automatically rerunning failed tests, but there is still more that can be done to improve test speeds. Recently LambdaTest announced their new offering, which promised to HyperTest run tests "up to 70% faster than other traditional cloud test execution platforms". I was curious to understand what the underlying improvements were, and found that much of this comes down to latency. Traditional cloud testing platforms will run different parts of the testing lifecycle on different machines. This introduces latency when running the tests. Indeed, sometimes latency is unavoidable given there is ultimately a limit on the speed of light. By removing this complexity and instead of performing test execution on one machine in the cloud, LambdaTest achieved these speed improvements whilst still offering their customers the benefit of the cloud. Now, this also has an impact on build failure rates. Whilst you might be thinking that latency can only cause a tiny percentage of tests to fail, it turns out that cascading failure means these small failure rates can lead to bigger consequences. Suppose you have a test suite of 150 tests which each individually have a 99% pass rate. Instinctively, you’d think that the entire test suite would have a 99% pass rate too. However, cascading failure means that a 99% success rate would compound 150 times to just a ~22% overall success rate for the test suite (0.99^150). Cutting latency isn’t just something for LambdaTest to do though. In my own experience helping developers cut build times, I found that latency can often play a big role in E2E tests. Slow third-party API requests or unnecessary third-party assets can also be the latency that causes slow and flaky tests. Whilst cutting latency can improve your software builds, I think this story also has a lesson for all software engineers about the harm that unnecessary complexity now can cause later.

Is Latency Slowing Down your E2E Tests?

If you're like me, a sucker for event-driven programming, you'll want to continue reading. Today we'll take a look at triggering functions from messages. I've covered a few interesting topics regarding serverless architectures and AWS already, but nothing like this yet. Dig down, and get ready. Let's go. AWS Lambda AWS SNS TL;DR What are we building? What is AWS SNS? Build the API with the Serverless Framework Deploy the API to AWS Lambda Test the API with Dashbird *: All the if you want to check out the end result right away.* Note code from this tutorial is already on GitHub What are we building? Our focus will solely be on the steps to create the infrastructure components our app will need. The code itself will just mimic the behavior of a random complex computation. I've chosen a recursive function that calculates the factorial of the number passed to it. Here's a nice diagram, because diagrams are awesome of course! The function is the only exposed function, which is hooked up to . It takes a single parameter which it validates, upon success, it publishes an SNS topic and sends along the value. init API Gateway number number The SNS topic will trigger a second function called . This function will perform the calculation and log out the result to the console. This mimics a heavy computational background task such as data processing, image manipulation or machine learning calculations. calculate If the function fails, the Dead Letter Queue SNS topic will receive a message and trigger the function. calculate error Every function invoked will twice retry its execution upon failure. Using the Dead Letter Queue as a pool for your error logs is a smart use-case. asynchronously Now you're wondering, why all the complication with SNS instead of just invoking the second lambda function from the first one with ? Lambda's invoke API First of all, it's a huge anti-pattern for asynchronous workflows, which is our case. Otherwise, it's fine if you need the response from the second lambda function right away. Another issue is hitting Lambda's concurrency limits pretty fast. It can result in losing invocations and dropping data. Sending your data through a pub/sub service like SNS or a queue like will make sure you have data integrity. SQS Makes sense now? Sweet, let's talk a bit more about SNS. What is AWS SNS? Before we start coding we need to cover the basics. We know what AWS Lambda is, but what about SNS? The AWS docs are pretty straightforward. Amazon Simple Notification Service (SNS) is a flexible, fully managed and mobile notifications service for coordinating the delivery of messages to subscribing endpoints and clients. pub/sub messaging -- AWS Docs In English, this means it's a way of sending notifications between services on a publisher/subscriber basis. One service publishes some data about a and sends it along its way. SNS will then funnel it to all the subscribers of that particular . The key focus is on here, you'll see why a bit further down. topic topic topic Build the API with the Serverless Framework The first thing to do, as always, is to set up the project and install dependencies. 1. Install the Serverless Framework My go-to development and deployment tool for serverless apps is the . Let's go ahead and install it. Serverless Framework $ npm i -g serverless Note: If you're using Linux, you may need to run the command as sudo. Once installed globally on your machine, the commands will be available to you from wherever in the terminal. But for it to communicate with your AWS account you need to configure an IAM User. Jump over , then come back and run the command below, with the provided keys. here for the explanation $ serverless config credentials\
    --provider aws\
    --key xxxxxxxxxxxxxx\
    --secret xxxxxxxxxxxxxx Now your Serverless installation knows what account to connect to when you run any terminal command. Let's jump in and see it in action. 2. Create a service Create a new directory to house your Serverless application services. Fire up a terminal in there. Now you're ready to create a new service. What's a service? It's like a project. It's where you define AWS Lambda functions, the events that trigger them and any AWS infrastructure resources they require, including SNS which we'll add today, all in a file called . serverless.yml Back in your terminal type: $ serverless create --template aws-nodejs\
    --path lambda-sns-dlq-error-handling The create command will create a new . What a surprise! We also pick a runtime for the function. This is called the . Passing in will set the runtime to Node.js. Just what we want. The will create a folder for the service. service template aws-nodejs path 3. Explore the service directory with a code editor Open up the folder with your favorite code editor. There should be three files in there, but for now, we'll only focus on the . It contains all the configuration settings for this service. Here you specify both general configuration settings and per function settings. Your will be full of boilerplate code and comments. Feel free to delete it all and paste this in. lambda-sns-dlq-error-handling serverless.yml serverless.yml service: lambda-sns-dlq-error-handling

plugins:
  - serverless-pseudo-parameters

provider:
  name: aws
  runtime: nodejs8.10
  stage: dev
  region: eu-central-1
  memorySize: 128
  environment:
    accountId: '#{AWS::AccountId}'
    region: '#{AWS::Region}'
  iamRoleStatements:
    - Effect: "Allow"
      Resource: "*"
      Action:
        - "sns:*"

functions:
  init:
    handler: init.handler
    events:
      - http:
          path: init
          method: post
          cors: true
  calculate:
    handler: calculate.handler
    events:
      - sns: calculate-topic # created immediately
    onError: arn:aws:sns:#{AWS::Region}:#{AWS::AccountId}:dlq-topic
  error:
    handler: error.handler
    events:
      - sns: dlq-topic # created immediately Let's break down what's going one here. Check out the section. There are three functions here. From top to bottom they're , , and . The function will get triggered by a simple HTTP request, which we invoke through API Gateway. Familiar territory for us. functions init calculate error init However, the and functions are triggered by SNS topics. Meaning we will have logic in the function that will messages to a topic named while the function is to the same topic. calculate error init publish calculate-topic calculate subscribed Moving on, the function is subscribed to the while the function will publish messages to this topic if it fails, as you can see with the property. Now stuff makes sense, right? error dlq-topic calculate onError Make a mental note to yourself, once you add the SNS topics as events for your functions, the resources will automatically be created once you deploy the service. What else, take a look at the , they specify that our functions have permission to trigger, and get invoked by SNS topics. While the plugin lets us reference our and with the CloudFormation syntax, making it much easier to keep our SNS ARNs consistent across all resources. iamRoleStatements serverless-pseudo-parameters AccountId Region 4. Install dependencies Luckily, this part will be short. Just one package to install. First, initialize npm and then you can install . serverless-pseudo-parameters $ npm init -y && npm i serverless-pseudo-parameters That'll do. 5. Write business logic With all things considered, the configuration process was rather simple. The code we'll write now is just as straightforward. Nothing extraordinary to see, I'm sorry to disappoint. Let's keep all three functions in separate files, to keep it simple. First of all create an file and paste this snippet in. init.js // init.js
const aws = require('aws-sdk')
const sns = new aws.SNS({ region: 'eu-central-1' })

function generateResponse (code, payload) {
  console.log(payload)
  return {
    statusCode: code,
    body: JSON.stringify(payload)
  }
}
function generateError (code, err) {
  console.error(err)
  return generateResponse(code, {
    message: err.message
  })
}
async function publishSnsTopic (data) {
  const params = {
    Message: JSON.stringify(data),
    TopicArn: `arn:aws:sns:${process.env.region}:${process.env.accountId}:calculate-topic`
  }
  return sns.publish(params).promise()
}

module.exports.handler = async (event) => {
  const data = JSON.parse(event.body)
  if (typeof data.number !== 'number') {
    return generateError(400, new Error('Invalid number.'))
  }

  try {
    const metadata = await publishSnsTopic(data)
    return generateResponse(200, {
      message: 'Successfully added the calculation.',
      data: metadata
    })
  } catch (err) {
    return generateError(500, new Error('Couldn\'t add the calculation due to an internal error.'))
  }
} We have a few helper functions and the exported lambda function at the bottom. What's going on here? The lambda validates input and publishes some data to the SNS topic. That's everything this function is doing. The SNS topic will trigger the lambda function. Let's add that now. calculate-topic calculate-topic calculate Create a file and name it . Paste this snippet in. calculate.js // calculate.js
module.exports.handler = async (event) => {
  const { number } = JSON.parse(event.Records[0].Sns.Message)
  const factorial = (x) => x === 0 ? 1 : x * factorial(x - 1)
  const result = factorial(number)

  console.log(`The factorial of ${number} is ${result}.`)
  return result
} As you see this is just a simple factorial calculation implemented with a recursive function. It'll calculate the factorial of the number we published to the SNS topic from the function. init An important note here is that if the function fails a total of three times, it'll publish messages to the Dead Letter Queue SNS topic we specified with the property in the file. The Dead Letter Queue will then trigger the function. Let's create it now so it can log out errors to CloudWatch. Create an file, and paste these lines in. calculate onError serverless.yml error error.js // error.js
module.exports.handler = async (event) => {
  console.error(event)
} For now, this will do. However, ideally, you would have structured logging with detailed info about everything going on. That's a topic for another article. Deploy the API to AWS Lambda Here comes the easy part. Deploying the API is as simple as running one command. $ serverless deploy\ ![lambda deploy](https://cdn.hackernoon.com/images/cky-9-uq-08500-u-80-bs-6-b-31-s-7-jsp.jpg) You can see the endpoint get logged to the console. That's where you will be sending your requests. Test the API with Dashbird The simplest way of testing an API is with CURL. Let's create a simple CURL command and send a JSON payload to our endpoint. $ curl -H "Content-Type: application/json"\
  -d '{"number":1000}'\
  https://<id>.execute-api.eu-central-1.amazonaws.com/dev/init If everything works as it should, the result of the calculation will be logged to CloudWatch. If not, well then you're out of luck. After hitting the endpoint a few times with a couple of different values here's the result. The function works as expected. init But, what really interests us is the function. Here's what that looks like when it's successful. calculate When it fails it'll specify a crash and show the error logs. After two retries it'll send a message to the Dead Letter Queue and trigger the function. error Sweet! We've tested all the different scenarios. Hope this clears things up a bit. Wrapping up That's all folks. We've covered creating SNS triggers for Lambda while also implementing a Dead Letter Queue to catch errors from failed invocations. Using serverless for various intermittent calculations is a valid use case that will only grow in popularity in the future. There are no servers you need to worry about, and you only pay for the time it runs. Just deploy the code and rest assured it'll work. Again, here's the , if you want to take a look at the code. It can act as a starter for your own use-cases where you need SNS messages triggering Lambda functions. Give it a star if you like it and want more people to see it on GitHub. GitHub repo Also published on: https://dashbird.io/blog/triggering-lambda-with-sns-messaging/

How to Trigger Lambda with SNS Messaging: Going Serverless with AWS

Cómo activar Lambda con SNS Messaging: Sin servidor con AWS

90% of developers don’t know about these websites There are so many websites to make the work of developers easier. Everyone doesn't know all. In this article, we will see . 25 Must-Visit Killer Websites For Developers 1. DevDocs DevDocs brings together numerous API documentation in a single, searchable interface. You will find docs related to various programming languages, technologies in one place. 2. ray.so This website allows you to take beautiful screenshots of codes. It also has a dark mode and some preloaded themes for different programming languages. You can also use its VS Code extension. 3. Poet.so This site is useful for developers who wish to post photos of their tweets on social media. Website transforms your tweet into a beautiful and editable design. 4. roadmap.sh This website provides roadmaps, guidelines, and other educational content to assist developers in choosing a path and directing their learning. It is very helpful for a beginner as well as a learner who needs guidance. 5. LambdaTest LambdaTest is a cloud-based cross-browser testing platform that lets you test web applications on over 2000 different browsers, operating systems, and devices. LambdaTest allows you to test cross-browser compatibility both manually and automatically. 6. daily.dev It is a platform where you can find so many good articles to read daily. It shows the best articles from various platforms directly in your feed. Stay updated with quality content from various platforms directly into your browser by using its extension. 7. Showwcase Showwcase is a new social media website specially for people who code connect, build community, and find new opportunities. It is a LinkedIn like platform but only focused on developers. You can join and there. follow me 8. CSS-TRICKS You can master your web development skills by learning every basics about CSS from this website. If you didn't already know, CSS is what makes pages on the web look beautiful. 9. Medusa An open-source Shopify alternative. Medusa is an open-source headless commerce engine that is fast and customizable. It's Free. 10. Smartmockups Why give your time learning how to use Photoshop. Smartmockups allow you to generate gorgeous high-resolution mockups straight in your browser and across numerous devices using a single interface. The quickest web-based mockup tool available, No prior experience or abilities are required, and the library of professional mockups is always growing. 11. Code Beautify Make your source code more beautiful and easy to read using code to beautify its AI technology will make your source code more attractive and easy to read. 12. OverAPI For all developers, OverAPI is one of the most beautiful and useful websites. This website has cheatsheets for the majority of programming languages. Take a look at it right now. 13. Responsively This is an open-source website that speeds up the development of web apps by 5 times. All target screens are displayed side by side in a single window. Reduces the time it takes to develop! 14. Color Hunt Color Hunt is a website that allows you to select gorgeous colour palettes. Web designers will find it very beneficial to choose beautiful and appealing colours, as well as to accept colour recommendations from other artists and art projects. 15. Carbon This website will help you to create and share beautiful images of your source codes. It also allows you to make changes to the photographs. You should give it a go right now. 16. Meta Tags It is a website tag generator that also allows you to update and experiment with your content before seeing how it will appear on Google, Facebook, LinkedIn, and other social media sites. 17. Profile Pic Maker This website creates a professional and beautiful profile for each photo in your Web developer portfolio. As a developer, you will be exposed to social media. You only need to upload any of your images, and it will edit and enhance them. Give it a go right now. 18. Small Dev Tools This website offers a variety of free developer tools, including encoders/decoders, HTML/CSS/Javascript formaters, minifies, fake or test data generators, and more. It also allows you to share codes. 19. resume.io This website allows you to create a quality resume. It will help you to create a professional resume by providing you with well-tested templates. Give it a Try. 20. CODEPEN CodePen is a web-based development platform that allows users to modify front-end languages such as HTML, CSS, and JavaScript without having to install any software. The nicest aspect is that the findings are visible in real-time, making troubleshooting easier. Developers and designers can also exchange code samples (known as pens) with the rest of the world. 21. Storytale Storytale is a website that had collections of illustrations that Make your project eye-catching with awesome characters. It can be used personally and commercially. This is a helpful website for web designers. Get High-class assets for web and mobile projects. 22. readme.so This website allows you to create project README very easily. Its simple editor helps you to quickly add and customize all the sections you need for your project's README. You can use this to create documentation of your open-source projects quickly. 23. Peppertype Peppertype is a new tool that helps in automating the content production and ideation process. It analyses your business operations, understands your brand and target audience, and then creates fresh content for you using superior machine learning and artificial intelligence. If you are a developer creating content regularly, then this is for you. 24. synthesia Synthesia helps you to create AI-based videos in over 50+ languages. You don't need a camera, microphone, or real face to create video content. You just need to upload your script and you will get an AI video. 25. Programmer Humor Even developers also need entertainment. You can visit this website for various memes and jokes related to programming and developers. Have Fun. : I used screenshots taken by in this Article. Bonus Website Screely If You ❤️ My Content! Connect Me on Twitter This article was also published here

Stories, News & Mentions about LAMBDATEST

Lambdatest’s Stories on HackerNoon