CI/CD pipelines provide fast releases, but continuous testing ensures quality. This whitepaper talks about the growing popularity of progressive SDLC methodologies. Testing with CI CD Deploying code in minutes CI/CD pipelines provide fast releases, but continuous testing ensures quality. This whitepaper talks about the growing popularity of progressive SDLC methodologies. Download now Prevent Logical bugs in your database calls, queues and external APIs or services Book a Demo

Switching to microservices offers flexibility, scalability, and agility, but testing can be complex. This guide helps you build a robust test suite for your microservices. Verifying Microservices Integrations Switching to microservices offers flexibility, scalability, and agility, but testing can be complex. This guide helps you build a robust test suite for your microservices. Download now Prevent Logical bugs in your database calls, queues and external APIs or services Book a Demo

The Yellow.ai platform is built with several independent services, which creates many interdependencies and leads to integration issues. They needed a mechanism to quickly identify and correct the root cause of these issues, ensuring the system runs smoothly without interruptions. Customer Success How Yellow.ai Employs HyperTest to Achieve 95% API Coverage and Ensure a Flawless Production Environment The Yellow.ai platform is built with several independent services, which creates many interdependencies and leads to integration issues. They needed a mechanism to quickly identify and correct the root cause of these issues, ensuring the system runs smoothly without interruptions. Pain Points: Time-intensive maintenance of automation test suites with low API coverage. Difficulty in maintaining automation suites amid rapid development and frequent updates. Integration bugs due to complex interdependencies among microservices. Results: Reduced integration bugs by 75%, enhancing system reliability. Accelerated time-to-market for new features, boosting competitiveness. Achieved bug-free production, ensuring a seamless user experience. About: Founded: 2016 Employees: 1000+ Industry: Conversational AI Platform Users: 1100+ enterprises across 85 countries Yellow.ai , headquartered in San Mateo, is at the forefront of the conversational AI platform industry, revolutionizing customer service and sales automation worldwide. Since 2016, they have expanded rapidly to serve over 1,100 enterprises across 85 countries. Yellow.ai is recognized as a Challenger in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms. Yellow.ai ’s Requirements: Enhanced control over automation processes to reduce the operational burden. Increased automation coverage to ensure comprehensive testing across all updates and development cycles. A robust testing framework to handle the complexities of microservices and prevent integration bugs. Challenge: As a no-code platform reducing operational costs by 60%, Yellow.ai recognized the essential need for robust automation to ensure the reliability of their microservices. Despite using advanced tools like Rest Assured and Karate, comprehensive coverage remained elusive, and maintaining the test suite became increasingly cumbersome. The complexity and frequency of updates to their system introduced persistent integration bugs, particularly due to the interdependencies within their extensive use of microservices. The challenges of keeping up with the fast-paced development cycle highlighted the urgent need for a more adaptive and powerful automation strategy to align with Yellow.ai ’s dynamic technical environment. Solution: The introduction of HyperTest marked a turning point for Yellow.ai . This powerful tool minimized the labor-intensive aspects of maintaining a test suite and introduced unprecedented efficiency in the testing process: HyperTest’s capability to automatically generate targeted test cases and precisely identify errors shortened testing cycles by 50%. The reduction in time and effort required for backend testing was substantial, with a 60% decrease in labor hours, thanks to HyperTest’s rapid reporting features enabling preemptive detection of contract failures before production. By ensuring 95% API coverage with each test run without extensive manual input, HyperTest redefined Yellow.ai ’s testing protocols, instilling confidence and enhancing the reliability of software releases. With the help of the Hypertest tool, we can automate new features while doing the first round of testing only. We don't have to spend extra time in the sprint doing automation & helping us in releasing bug-free features to production. -Nirzar Goswami, Senior Software Development Engineer Read it now Processing 1.5 Million Orders, Zero Downtime: How Nykaa Optimizes with HyperTest Read it now Airmeet and HyperTest: A Partnership to Erase 70% Outdated Mocks and Enhance Testing Speed By 80% View all Customers Catch regressions in code, databases calls, queues and external APIs or services Take a Live Tour Book a Demo

Airmeet's test cases, based on outdated mockups, missed crucial bugs (like key_added/removed) due to a disconnect with real user journeys. Their search for the new solution was to mimic real interactions that can help them identify and fix issues faster, improving the customer experience. Customer Success Airmeet and HyperTest: A Partnership to Erase 70% Outdated Mocks and Enhance Testing Speed By 80% Airmeet's test cases, based on outdated mockups, missed crucial bugs (like key_added/removed) due to a disconnect with real user journeys. Their search for the new solution was to mimic real interactions that can help them identify and fix issues faster, improving the customer experience. Pain Points: Outdated mocks caused integration problems between testing and production. Slow manual testing slowed down releases. Maintaining tests took time away from development. Results: Test with mocks that update automatically, making tests reliable. Slashed regression testing time from days to hours, speeding releases. Boosted code coverage to 75-85%, without writing or maintaining test scripts. About: Founded: 2019 Industry: Virtual Event Platforms Airmeet, established in 2019 in Bangalore, India, quickly became a leading name in the virtual event platform industry, achieving unicorn status within two years. The platform is designed to deliver a fully immersive virtual event experience, simulating real-life interactions through features like interactive polls, Q&A sessions, breakout rooms, and customizable virtual backgrounds. To date, Airmeet has facilitated over 150 million minutes of video airtime and served more than 120,000 event organizers worldwide. Airmeet's Requirements: Develop a testing solution to manage frequent updates efficiently, without the overhead of continuous manual testing. Enhance integration testing speed and efficiency to improve system performance and readiness for releases. Overcome the limitations posed by outdated mocks that compromised test accuracy and trustworthiness. Challenge: As Airmeet expanded, the complexity of its virtual event platform required a more effective testing strategy. Heavy reliance on APIs and the fast pace of development made traditional manual testing methods impractical. The use of outdated mocks in testing further complicated the issue, as they often resulted in a significant mismatch between testing scenarios and actual operational conditions, leading to critical bugs in the live environment. Manual testing processes could not keep up with the platform’s scale and the rapid pace of development, leading to increased costs and delayed product releases. The use of outdated mocks in unit and integration tests led to unexpected bugs into production. Existing test suite required a lot of maintenance that moved away precious time from development . Solution: To streamline these challenges, Airmeet adopted HyperTest, an advanced integration testing tool that automated their testing processes effectively. HyperTest's capabilities were integrated swiftly into Airmeet's core services, offering double-digit code coverage across all major services and significantly less manual testing. HyperTest automated the generation and execution of test cases, drastically reducing the team's workload. It ensured that all changes underwent rigorous testing and received approval automatically before being moved to production, enhancing the quality and speed of releases. HyperTest's ability to mock out all the dependent services, third-party APIs and databases help ed in eliminating the need to write and maintain mocks, making testing of integration scenarios reliable with consistent results . HyperTest has been a game-changer for us in API regression testing. It has significantly saved time and effort by green-lighting changes before they go live with our weekly releases. -Vinay Jaasti, Chief Technology Officer Read it now How Yellow.ai Employs HyperTest to Achieve 95% API Coverage and Ensure a Flawless Production Environment Read it now Processing 1.5 Million Orders, Zero Downtime: How Nykaa Optimizes with HyperTest View all Customers Catch regressions in code, databases calls, queues and external APIs or services Take a Live Tour Book a Demo

Join the HyperTest Code Coverage Challenge! Achieve over 90% code coverage without writing tests. Code Coverage Challenge Here's how it rolls: Challenge: Achieve 90% or more Code Coverage Without Writing a Single tests Action: Set-up HyperTest in 5 mins Outcome: Get to that number in 1 week or less Win if HyperTest delivers! You'll get FREE high-quality tests for your code, plus a $100 reward as a token of appreciation. So, what do you think? Your Application Programming Stack I agree to the Terms of Service and Privacy Policy. Submit

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Get Your Test Automation Suite Up and Running in a Day, Ditch the Manual Efforts Required. 07 Min. Read 14 August 2024 5 Steps To Build Your API Test Automation Vaishali Rastogi WhatsApp LinkedIn X (Twitter) Copy link Writing and maintaining test cases with Postman was all fun, until there was no agile development. Taking all the time to create collections, fire API calls, test APIs and then maintain all that was a thing of past. Now that the time demands the engineering teams to build fast and release faster, Postman and such tools can’t be of much help. HyperTest, our autonomous integration testing tool, can take away all the manual efforts required in Postman. Developers of companies like Skaud, Yellow.ai , Porter, Purplle, Zoop etc are already ahead of their deadlines and are able to focus on making the application better instead of being trapped in the never-ending cycle of writing and maintaining test cases. HyperTest has significantly reduced my test maintenance workload. No more juggling countless test cases or manually tracking API responses on Postman. It's a game-changer! Pratik Kumar, FLEEK TECHNOLOGIES Here’s an easy 5 step guide to build a robust API test automation suite: 1️⃣ Pick any service and install HyperTest SDK 2️⃣ Deploy your service normally either locally or any other environment. HyperTest will record all the incoming and outgoing traffic of that service in that environment. 3️⃣ Go to HyperTest dashboard of all incoming and outgoing calls of this service put together as end-to-end inetgration tests 4️⃣ Install HyperTest CLI. Run these tests on a new build of your service. It will catch regressions across your service response and outgoing calls. 5️⃣ You can make HyperTest tests part of your CI pipeline using pre-push commit hooks and sign-off every release using these autonomous test suites. 1. Installing HyperTest SDK To begin, you'll need to install the HyperTest SDK and its CLI tool. These are the core components that enable HyperTest to interact with your application and manage API test automation effectively. The installation process is straightforward and can be done using package managers like npm for Node.js applications. Once installed , you need to initialize the HyperTest SDK in your application, which typically involves adding a simple configuration file or command to integrate HyperTest with your app's codebase. 💡 Get started with HyperTest within 10 minutes of installation and start catching regressions from the very start. 2. Start your Application in Record Mode After setting up the SDK, you'll need to start your application in "record mode." This mode enables HyperTest to monitor and capture all the outbound API calls your application makes. When your application runs in this mode, HyperTest listens to the requests and the corresponding responses, creating a record of interactions with external services. This recording forms the basis for generating mock data that will be used during regression testing. 3. Introduce Live Traffic in Your Application To ensure HyperTest can capture a wide range of scenarios, introduce some live traffic to your application. This can be done by simulating user activity or running existing test scripts that make API calls. The HyperTest SDK will record the requests made to downstream services, along with their responses. These recordings are crucial for creating accurate mocks that simulate real-world conditions during regression testing. 💡 Invest in 100% automation and let your developers focus on speedy releases while ensuring quality code. 4. Use HyperTest CLI to run the Test Mode Once the recording phase is complete, you can use the HyperTest CLI to replay the recorded requests. During this phase, the actual API calls will be replaced with the previously recorded mock responses. This allows you to test your application in a controlled environment, ensuring that any changes in your code do not break existing functionality. After running these tests, HyperTest generates a regression report that highlights any discrepancies or issues detected. 5. Use the Dashboard to View All the Regressions The final step is to access the HyperTest Dashboard, where you can view the detailed regression/coverage report. It provides a comprehensive evaluation of your test results, including pass/fail statuses, differences between expected and actual responses, and more. This visualization helps you quickly identify and address any regressions introduced during development, ensuring your application remains stable and reliable. Want to see it action for your services? Book a demo now Prevent Logical bugs in your databases calls, queues and external APIs or services Take a Live Tour Book a Demo

Discover how HyperTest leverages automation to catch regressions and guarantee immaculate code, all without manual effort. Automated Integration Testing for Developers Problem: The Integration Testing Gap in Fast-paced Development Developers of modern agile world struggle to release bug-free code fast and without risk because of lack of effective automation Agile teams place a lot of importance on unit tests which are useful in checking business logic but fail to test the integration layer i.e. the dependencies between services, that constitute more than 50% of all production issues. This problem becomes more acute in apps with service oriented architecture where it is not uncommon for downstream changes to cause upstream failures. Rapid development and limited visibility on inter-service dependence is the root cause of all integration issues. Inadequately tested code-base also adds technical debt over time that makes new development harder, forcing devs to spend excessive time fixing past issues which leads to dev burnout, low productivity and missing delivery deadlines. Hence developers working on distributed systems in high speed environments need a new approach that can autonomously test new code changes with all its dependencies i.e. external services, 3rd party APIs, databases and message queues, right at source so that they can focus all their time on development. Why Existing Solutions Weren't Enough: Developers needed a better way to bridge this gap. Unit testing frameworks, while valuable, couldn't address the complexities of service interactions. Existing integration testing solutions often lacked the ease of use and automation needed for rapid development cycles. The HyperTest Solution: HyperTest has developed a unique approach to automatically generate and refresh mocks that efficiently test code and its dependencies, ensuring seamless integration and functionality validation. HyperTest sets up as an SDK on any backend service (like an APM). It builds a trace for all the requests that hit the service with its outbound calls (for mocking). The correct behavior of the service is tested for regressions automatically when it undergoes a change. System Architect HyperTest Record and Replay (Test) Mode: Record Mode During the record phase, all requests hitting a service (SUT) are monitored, including all interactions between its components. This involves inputs, responses, and all outgoing calls. The recorded interactions can include function calls, network requests, message exchanges, or database queries. HyperTest’s SDK sits directly on top of the SUT and captures the complete flow of actions that the SUT follows to give back the response. Most of the common scenarios involve the SUT communicating with databases, downstream services, or sometimes any external third-party APIs or cloud services to generate the desired response for a specific request. The service response and the outgoing calls in the record mode are treated as the baseline behavior of the service. Test Mode Devs run HyperTest in test mode when a new change is ready. In this mode, the requests captured in the record phase are executed to generate the actual response of the service at that time by mocking away the dependencies. If the response changes due to modifications in status codes, content type, schema, data, and so on, HyperTest reports a regression. Mocking away dependencies ensures that actual calls to the database and other downstream components are not made in test mode. Instead, the previously captured requests and responses are used, completely eliminating the need to keep the dependencies available for testing. When these tests are run through HyperTest CLI, they generate a code coverage report highlighting covered and uncovered code paths. Testing Stateful flows without managing test data HyperTest's great value lies in giving teams the ability to test stateful applications without needing to create or manage test data. Ability to intelligently generate and refresh mocks gives it the capability to test the application exactly in the state it needs to be. To illustrate this, let's consider testing the sign-up functionality. Two possible scenarios can occur: 1.If a user signs up with an email address that has not been registered before, a new account needs to be created. 2.Alternatively, if a user already exists with the same email address, the application should respond with the message "the user already exists." HyperTest SDK will record both of these flows from the traffic, i.e., a new user trying to register and an existing user trying to register (negative flow). In test mode, when HyperTest runs both scenarios, it will have the recorded response from the database for both, testing them in the right state to report a regression if either of the behaviors regresses.

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Dive into the epicenter of technological innovation with our in-depth stories and podcasts. Build Bug-Free Futures: Join Tech Verse for Development Excellence The premier hub for passionate developers and engineering leaders. Elevate your skills with in-depth guides, expert talks, monthly newsletter and practical workshops. Sign-up Today! Featured Talks Inspirational, Educational, Thought-Provoking Discussions Mock APIs Message Queues and Databases in One Place 60 min. Implementing TDD: Organizational Struggles & Fixes 42 min. Get to 90%+ coverage in less than a day without writing tests 30 min. Build E2E Integration Tests Without Managing Test Environments or Test Data 58 min. No more Writing Mocks: The Future of Unit & Integration Testing 28 Min. Ways to tackle Engineering Problems of High Growth Teams 58 min. Zero to Million Users: How Fyers built and scaled one of the best trading app 50 min. Masterclass on Contract Testing: The Key to Robust Applications 70 min. Why Clever Testers Prioritize API Testing Over UI Automation 60 min. How to do End-to-End testing without preparing test data? 40 min. What no one will tell you about using GenAI for Testing 44 min. State of API Testing Report: Regression Trends 2023 Drawing insights from our own product analytics for the entire year 2023, the report reveals a staggering 8,661,895 regressions & 8K+ test runs reveal 2024's must-know goals, challenges, and trends. Download the Report Creators Industry Leaders, Career Catalysts Raul Junco Software Engineering Manager Oliver Zihler Technical Agile Consultant Bas Dijkstra Test Automation Consultant Pranav K Chief Engineering Officer Vibor G VP of Engineering Sidharth Shukla SDE 2 | 60K followers on Linkedin Sancheeta Kaushal Head of Cloud Shailendra Singh Founder Gunesh Patil Senior Tech Lead Kanika Pandey Co-Founder, VP of Sales Vivek Verma AVP- Engineering Karan Raina Co-Founder, CTO Content Assets Uncover hidden insights, proven tactics, insider tips