HyperTest generates end-to-end API tests that achieve over 90% coverage, ensuring fast and bug-free deployment of distributed services. WEBINAR | On-Demand | "No More Writing Mocks: The Future of Unit & Integration Testing" >> Generates Tests for Busy Devs Without AI Hallucinations Skip the hassle of fixing unreliable AI test code. Get automated tests that screen every code and catch bugs that AI might miss. Request a Demo Product Live Tour Developers at the most innovative companies trust HyperTest for confident releases How it Works For Developers For Engineering Leaders Why Should Developers Use it? Get Powerful Integration Tests Test code, APIs, data layer and message queues end to end at the same time Automate Testing with Self-healing Mocks Use mocks that mimic external interfaces to test user behavior not just code Shift left like it needs to be Run tests locally with pre-commit hooks or at CI to catch issues early and fast Why Should Engineering Managers Consider it? Missing Delivery Deadlines Ineffective automated testing # 1 reason for slow releases High Technical Debt Complex codebase that is becoming hard to maintain with high risk for failures and downtimes Low Developer Productivity Developers spending all their time fixing issues risking burnout and no time for innovation Learn how it works Watch a 90 Sec Video 100% Autonomous Record and Replay. Generates integration tests automatically from real user traffic. Fully autonomous with Zero maintenance. 2 min. Setup Add 2-line SDK in your application code. Records tests from any environment to cover >90% lines of code in a few hours. Catch Bugs Early Run tests as automated checks pre-commit or with a PR. Release new changes bug-free in minutes, not days or weeks. Hear from our Customers HyperTest has been a game-changer for us in API 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 We have recently upgraded our code framework. And by running one instance of Hypertest, we got the first-cut errors in less than an hour , which could have taken us a few days. Vibhor G VP of Engineering Hypertest unique selling point is its ability to generate tests by capturing network traffic, they have reduced the overhead of writing test cases, and its reports and integrations have helped us smoke out bugs very quickly with very little manual intervention. Ajay Srinivasan Senior Technical Lead Trace failing requests across microservices Test Service Mesh with Distributed Tracing HyperTest context propagation provides traces across multiple microservices, helping developers debug root causes in a single view. It cuts debugging time and tracks data flow between services, showing the entire chain of events leading to failure. Read More Test code, APIs, data, queues without writing tests Power of foundational models with Record and Replay Test workflows, data and schema across APIs, database calls and message queues. Generate tests from real userflows to uncover problems that only appear in production like environments Read More Shift-left with your CI pipeline Release with High Coverage without writing tests Forget writing unit tests and measure all tested and untested parts of your code. Cover legacy to new code in days. Read More Top Use Cases From APIs to Queues, Databases to Microservices: Master Your Integrations High Unit Test Coverage HyperTest can help you achieve high >90% of code coverage autonomously and at scale. We can write 365 days of effort in less than a few hours. Database Integrations It can test the integration between your application and its databases, ensuring data consistency, accuracy, and proper handling of database transactions. API Testing HyperTest can validate the interactions between different components of your application through API testing. It ensures that APIs are functioning correctly and communicate seamlessly. Message Queue Testing If your application relies on message queues for communication, HyperTest can verify the correct sending, receiving, and processing of messages. Microservices Testing HyperTest is designed to handle the complexities of testing microservices, ensuring that these independently deployable services work harmoniously together. 3rd-Party Service Testing It can test the integration with external services and APIs, ensuring that your application can effectively communicate with third-party providers. HyperTest in Numbers 2023 Year 8,547 Test Runs 8 million+ Regressions 100+ Product Teams Prevent Logical bugs in your database calls, queues and external APIs or services Calculate your ROI

Discover 8 integration testing best practices to enhance your software development process for optimal system functionality and reliability. 28 November 2023 07 Min. Read Integration Testing Best Practices in 2024 Download the Checklist WhatsApp LinkedIn X (Twitter) Copy link Fast Facts Get a quick overview of this blog Conduct integration tests in an environment that closely mirrors the production environment. Try to mock or use stubs when testing integrations with external services. Automation of integration tests can significantly improve efficiency and reliability. Ensure that the integration tests cover all the critical interactions between different components of your application. Checklist to Implement Integration Testing In the dynamic world of software development, integration testing stands as a critical phase, bridging the gap between unit testing and system testing. This process involves combining individual software modules and testing them as a group, ensuring they function seamlessly together. The significance of integration testing lies in its ability to identify issues in the interaction between integrated units, which might not be evident in unit testing. By catching these defects early, integration testing saves time and resources, and boosts the overall quality of the final product. This blog aims to delve into the best practices of integration testing, providing insights into its efficient implementation. What is Integration Testing? Integration testing is a level of software testing where individual units are combined and tested as a group. The primary goal is to expose faults in the interaction between integrated units. Unlike unit testing , which focuses on individual components, or system testing, which evaluates the entire system, integration testing specifically targets the interfaces and communication between modules. This process is crucial in verifying the functional, performance, and reliability requirements of the software. Importance of Integration Testing Integration testing plays a pivotal role in software development. It ensures that software components, developed independently or in parallel, work together harmonically. This testing phase is crucial for detecting interface defects, which might not be visible in unit testing. It verifies not only the functionality but also the communication and data transfer processes among modules. By doing so, it helps maintain system integrity and consistency. Integration testing also validates performance and reliability requirements, offering insights into system behavior under various conditions. Ultimately, it enhances software quality, reduces maintenance costs, and ensures a smoother, more reliable user experience. Quick Question Are you Planning to Automate your Integration Testing? Yes Integration Testing Best Practices Start Early and Test Often : Incorporating integration testing early in the development cycle is vital. It enables the early detection of defects and reduces the cost of fixing them. Regular testing as new modules are integrated ensures continuous oversight. Example : Consider a software project developing a web application. Starting integration tests when the first two modules (like user authentication and data retrieval) are developed can help identify any discrepancies or integration issues early on. Choose the Right Tools : Selecting appropriate tools is critical for effective integration testing. Tools should be compatible with the project's technology stack and support automation to streamline the testing process. Example : For a project based on the Java ecosystem, tools like JUnit for unit testing and Selenium for web interface testing might be appropriate. Feature / Tool HyperTest Katalon JUnit Postman Primary Use Automated Integration Testing Automated UI and API Testing Unit Testing API Testing Language Support Language Agnostic Groovy, Java Java JavaScript Platform Cloud-based Desktop, Cloud Desktop Desktop, Cloud Testing Type Integration, System Integration, E2E, Unit Unit, Integration Integration, API Target Audience DevOps, Developers QA Teams, Developers Developers Developers, QA Teams Automation High level of automation High Moderate High Ease of Setup Easy Moderate Easy Complex Integration CI/CD pipelines, Various tools supported CI/CD pipelines, JIRA, qTest Various IDEs, Build tools CI/CD pipelines, Various tools Cost Varies (Free trial available) Paid versions Free Paid versions Community & Support Growing community, Professional support Large community, Good support Very large community, Extensive documentation Large community, Extensive documentation Create a Test Plan : A comprehensive test plan outlines the scope, approach, resources, and schedule of the testing activities. It should include specific test cases that cover all pathways and interactions between modules. Example : A test plan for an e-commerce application might include test cases for user registration, product search, shopping cart functionality, and payment processing. Test Environment Configuration : Setting up a test environment that closely mirrors the production environment is crucial for accurate results. This includes configuring hardware, software, network settings, and other system components. # Sample code to set up a test environment configuration from test_environment_setup import configure_environment # Configure settings for test environment settings = { "database": "test_db", "server": "test_server", "network_config": "VPN", # More settings... } # Apply configuration configure_environment(settings) Continuous Integration : Implementing continuous integration practices allows for regular merging of code changes into a central repository, followed by automated builds and tests. This approach helps in identifying and addressing integration issues promptly. Example : Using a tool like Jenkins or HyperTest to automatically run integration tests whenever new code is pushed to the repository. Error Handling : Effective integration testing should also focus on how the system handles errors. Testing should include scenarios where modules fail to communicate or return unexpected results. # Example of a test case for error handling def test_module_communication_failure(): response = module_a.communicate_with_module_b() assert response.status_code == 500 # Expecting a failure status code Performance Testing : Explanation : Besides checking functionality, it’s important to test the performance of integrated units under various load conditions. Example : Conducting stress tests to evaluate how the system performs under high traffic or data load. Documentation and Reporting : Explanation : Maintaining detailed documentation of the testing process, including test cases, results, and issues, is essential for future reference and accountability. Regular reporting keeps all stakeholders informed about the testing progress and outcomes. Example : Creating a shared online dashboard that updates in real-time with the status of ongoing integration tests and results. Scenario: Adding a Product to the Shopping Cart Overview This test scenario will verify if the application correctly adds a product to the shopping cart, updating the cart's contents and the total price accordingly. It involves the integration of the product catalog, shopping cart, and pricing modules. Components Involved Product Catalog Module : Displays products. Shopping Cart Module : Manages items in the cart. Pricing Module : Calculates prices and totals. Test Steps Select a Product : The user navigates the product catalog and selects a product to purchase. Add Product to Cart : The selected product is added to the shopping cart. Verify Cart Contents : The cart should now include the new item. Check Updated Price : The total price in the cart should update to reflect the addition of the new item. Expected Results The selected product should appear in the shopping cart. The total price in the shopping cart should accurately reflect the addition of the new product. Code for Integration Test Here's a simplified example in Python using a hypothetical testing framework. This is for illustration purposes and assumes the presence of certain methods and classes to interact with the application. import unittest from app import ShoppingCart, ProductCatalog, PricingService class TestAddToCart(unittest.TestCase): def setUp(self): self.cart = ShoppingCart() self.catalog = ProductCatalog() self.pricing = PricingService() def test_add_product_to_cart(self): # Step 1: Select a Product product = self.catalog.select_product("ProductID_123") # Step 2: Add Product to Cart self.cart.add(product) # Step 3: Verify Cart Contents self.assertIn(product, self.cart.get_items(), "Product not in cart") # Step 4: Check Updated Price total_price = self.pricing.calculate_total(self.cart.get_items()) self.assertEqual(total_price, self.cart.get_total(), "Incorrect total price") if __name__ == "__main__": unittest.main() Integration tests can be more complex depending on the application's size and the interactions between different modules. It's crucial to cover various scenarios, including edge cases, to ensure the robustness of the application. Conclusion Integration testing is an indispensable part of software development that ensures different modules of a software system work together flawlessly. By adhering to the best practices outlined, such as early testing, choosing the right tools , and maintaining thorough documentation, teams can effectively mitigate risks and enhance the quality of their software products. Remember, successful integration testing not only improves functionality but also contributes to a more reliable and robust software system. Community Favourite Reads Unit tests passing, but deployments crashing? There's more to the story. Learn More Masterclass on Contract Testing: The Key to Robust Applications Watch Now Related to Integration Testing Frequently Asked Questions 1. What are the approaches of integration testing? Integration testing approaches include: 1. Top-Down Testing: Progresses from higher to lower-level modules. 2. Bottom-Up Testing: Starts from lower-level modules, advancing upwards. 3. Big Bang Testing: Integrates all components simultaneously. 4. Incremental Testing: Incorporates and tests individual components in small, incremental steps. 2. What is the best tool for integration testing? The best tool for integration testing often depends on project requirements. HyperTest stands out by automating integration tests for services without the need for active databases or dependent services. This unique feature saves valuable time and effort in test setup, offering a streamlined and efficient testing process. 3. What is the main purpose of integration testing? Integration testing aims to ensure the seamless collaboration of different modules or subsystems within a software application. It focuses on detecting and resolving issues that may arise when these components are integrated, providing a comprehensive assessment of the software's overall functionality and reliability in a real-world context. For your next read Dive deeper with these related posts! 13 Min. Read What is Integration Testing Learn More 08 Min. Read Top 10 Integration Testing Tools in 2024 Learn More 05 Min. Read Boost Dev Velocity with Automated Integration Testing Learn More

Install -> Record-> Replay. HyperTest captures real execution flows from your app to auto-generate and run integration tests, keeping your test suite in sync with real-world behavior, without brittle mocks or slow end-to-end tests. Install Record Replay Integrate HyperTest SDK, Start Capturing Tests Instantly Set up HyperTest in minutes to automatically capture real execution flows from your application. Watch the video for clear steps. Read More Install HyperTest SDK Package Get started by signing-up & installing the HyperTest SDK package in your service. Read More Replay & Catch Every Regression - 100% Autonomous Get instant feedback on every change and ensure stability without writing or maintaining test cases. Read More Take a Complete Product Tour Achieve >90% Code Coverage in hours, without writing single line of test code Get Started for Free

What is unique about this JSON Comparison Tool? This JSON Comparison Tool stands out from standard diff utilities through its specialized focus on JSON structure analysis: Categorized Difference Detection- Uniquely identifies and organizes changes across four critical dimensions: structural, collection, value, and representation differences Visual Clarity - Provides color-coded, hierarchical visualization that makes complex JSON differences immediately apparent to both technical and non-technical stakeholders Granular Control - Offers selective comparison options, allowing engineers to focus only on differences that matter to their specific use case No Installation Required - Works entirely in-browser with no dependencies, making it accessible for quick debugging sessions or integration testing Developer-First Design - Built by engineers who understand JSON comparison challenges in real-world API development, schema validation, and configuration management workflows The tool addresses a critical gap in the development toolchain, enabling faster troubleshooting of JSON-related issues. ✅ Why JSON Comparison is Crucial in Software Development? JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language and is commonly used to transmit data between a server and web application as text. ➡️ Understanding JSON with an Example: Consider a fintech application that provides real-time stock market prices. The backend uses JSON to format and transmit this financial data from the server to client applications, crucial for user decision-making in trading activities. What JSON Response looks like? { "stock": { "symbol": "AAPL", "companyName": "Apple Inc.", "marketPrice": 150.50, "change": -1.25, "percentageChange": "-0.83%", "volume": 68240930 } } Now understanding the need of JSON Comparison in Software Development: 1. Development and Testing: During development, suppose a new feature is added that updates how user roles are handled, changing the JSON structure to include a "permissions" field. The updated JSON might look like: Developers need to compare the original and the updated JSON to ensure the new feature is integrated correctly without affecting the existing data structure adversely. This is where a JSON Comparison Tool is invaluable. It helps verify that all intended changes are correctly implemented while ensuring no unintended changes have sneaked through. { "user": { "id": 1, "name": "John Doe", "email": "john.doe@example.com", "roles": ["admin"], "permissions": ["read", "write", "delete"] } } 2. API Versioning and Management: When APIs evolve, responses may change format. Consider an API that initially sends data as follows: { "product": { "id": "101", "name": "Desk Lamp", "price": 39.99 } } In a later version, the structure might be modified to provide more details: { "product": { "id": "101", "name": "Desk Lamp", "price": 39.99, "supplier": { "id": "789", "name": "Office Supplies Inc." } } } Developers must compare these JSON outputs to ensure the API maintains backward compatibility while successfully adding new information. 3. Debugging: When troubleshooting production incidents, the ability to quickly identify unexpected JSON differences between service responses can reduce mean time to resolution by orders of magnitude. ✅ How to Use HyperTest’s JSON Comparison Tool? Access the Tool : Visit hypertest.co/json-comparison-tool Upload/Input JSON : Either upload two JSON files using the "Choose File" buttons or paste JSON content directly into the editor panels Compare : Click the "Compare" button to analyze the differences between your JSON files Review Results : The tool highlights differences with color coding and provides a detailed breakdown of changes, including: Added or removed properties Modified values Array changes Nested object modifications ✅ Benefits of Using a JSON Comparison Tool Using HyperTest’s JSON Comparison Tool offers several significant benefits, particularly in environments where data integrity, speed, and accuracy are crucial. Here are some of the key advantages: 1️⃣ 80% Faster Debugging Cycles Structured categorization of differences eliminates the cognitive overhead typically associated with manual JSON parsing, allowing your team to identify issues in minutes rather than hours. 2️⃣ Enhanced Cross-team Collaboration The intuitive visual interface bridges the communication gap between frontend, backend, and QA specialists, creating a shared language for discussing JSON data inconsistencies. 3️⃣ Reduced Production Incidents Teams leveraging specialized JSON comparison consistently report fewer schema-related production incidents, with early adopters documenting a 45% reduction in JSON-related rollbacks. 4️⃣ Time Efficiency Manually comparing JSON files, especially large or complex ones, can be time-consuming and prone to error. JSON comparison tools streamline this process, quickly highlighting differences and allowing developers to focus more on development rather than on finding data discrepancies. ✅ Practical Uses of JSON Comparison Tools JSON comparison tools are versatile and can be employed in various practical scenarios across different industries and project stages. Here are some key uses: 1. Configuration Management In many software applications, configuration settings are stored in JSON format. When deploying updates or new features, developers can use JSON comparison tools to ensure that configurations are correctly applied without unintended changes. Before and after deploying a new feature, you might compare the configuration files to verify that only the intended changes have been made. // Before { "featureFlags": { "newUI": false, "betaTesting": true } } // After { "featureFlags": { "newUI": true, // Intended change "betaTesting": true } } 2. API Testing and Validation When developing APIs that output JSON, it's crucial to ensure the response structure matches the specification. JSON comparison tools can automatically validate API responses against expected outputs during testing phases. Example: Testing an API response to ensure it matches the expected JSON format. Make sure your APIs actual response always matches with the expected one, see how HyperTest helps here 3. Data Migration and System Integration During data migration between systems, it's essential to verify that all data is transferred accurately and formatted correctly. JSON comparison tools can be used to compare data exports from old and new systems to ensure consistency. Example: Comparing customer data before and after migration to a new database system. // Data in old system { "customer": { "id": "001", "name": "John Doe", "email": "john@example.com" } } // Data in new system { "customer": { "id": "001", "name": "John Doe", "email": "john@example.com" } } 4. Version Control In version-controlled projects, JSON files often contain key project settings or dependencies. Developers can use JSON comparison tools to track changes over time, helping in review processes and when merging branches. Example: Comparing changes in a project's package.json file after updating dependencies. // Before update { "dependencies": { "react": "^16.8.0", "axios": "^0.19.0" } } // After update { "dependencies": { "react": "^16.13.1", "axios": "^0.19.0" } } 5. Debugging and Error Resolution When unexpected behavior occurs in an application, comparing the current state's JSON output with the correct or previous states can help identify the issue. Example: Debugging an issue where user settings are not being applied correctly. // Expected settings { "settings": { "theme": "dark", "notifications": true } } // Current buggy settings { "settings": { "theme": "light", // Error in theme setting "notifications": true } } ✅ Key Features of HyperTest’s Online JSON Diff Tool Side-by-side visual comparison of original and modified JSON files Syntax highlighting for improved readability Line numbering for precise reference Highlighted differences with clear old/new value presentation Path-based navigation to quickly isolate changes Support for primitive value changes tracking Structured display that maintains JSON hierarchy ✅ Frequently Asked Questions Are the files I upload kept private? All files uploaded to the JSON Compare tool are processed entirely client-side in your browser. No data is stored on our servers, ensuring complete privacy and security for your sensitive JSON configurations. What types of JSON files can I compare using this tool? Can the tool handle large JSON files? Can I compare JSON files hosted on different servers? How does the tool handle changes to nested properties? How accurate is the JSON Compare tool? Does the tool maintain the original JSON structure when displaying differences? What should I do if I encounter an issue with the tool?

Leverage HyperTest, our integration testing tool to maintain a bug-free production environment and ensure sanity in your services. Continuous Quality Assurance Platform for Modern Backends Developers use HyperTest to test and deploy distributed systems at speed and without failures Get Started View Documentation How it works Book a Demo We helped agile teams achieve 2X release velocity & 90% code coverage without ever writing test code. Book a Free Consultation Detailed Write-up Discover how HyperTest leverages automation to catch regressions and guarantee clean bug-free code All things HyperTest Get all your HyperTest-related questions answered and understand how you can accelerate your releases Customers Pricing Resource Tech Verse Deep dive into the technical intricacies with HyperTest TV, The premier hub for passionate developers and engineering leaders. Must Check Set-up Guide Follow hassle-free steps for installation. Resource Library Gain easy access to a wide range of resources Events Stay updated on webinars/workshops. Blogs Explore SOA integration testing strategies & tools Whitepapers Download in-depth guides on SOA challenges Product FAQs Find answers to all your HyperTest questions State of API Testing Report: Regression Trends 2023 8 million+ regressions & 8K+ test runs reveal 2024's must-know goals, challenges, and trends. Set-up Guide Get a Demo Sign-up Why we built HyperTest? Unit tests are useful for checking the logic within a service but fail to test the dependencies between services. Integration testing comes to the rescue, but as opposed to the well-standardized unit testing frameworks, there was no off-the-shelf integration testing framework that we could use for our back-end services. Paul Marinescu Research Scientist View Source Why Developers Should Use it? HyperTest helps development teams prevent logical bugs across Kafka consumers, 3rd party APIs, Databases, gRPC , REST and GraphQL services. Faster Feedback Loop Automatically generate and run integration tests, freeing you to focus on building features. Automate Testing with Mocks Leverage autogenerated mocks to simulate dependencies and streamline test creation. Shift Left & Identify Issues Early Catch integration problems before they reach production, ensuring high-quality code. Hear from our Customers HyperTest has been a game-changer for us in Integration 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 We have recently upgraded our code framework. And by running one instance of Hypertest, we got the first-cut errors in less than an hour , which could have taken us a few days. Vibhor G | VP of Engineering Hypertest unique selling point is its ability to generate tests by capturing network traffic, they have reduced the overhead of writing test cases, and its reports and integrations have helped us smoke out bugs very quickly with very little manual intervention. Ajay Srinivasan | Senior Technical Lead How it works? Autogenerated Tests with Mocks More Powerful than Co-pilot, Easier than everything else Add HyperTest SDK to service. Set it to look at application traffic like an APM. Build integration tests with downstream mocks that are created and updated automatically. Read More Never miss any Critical Errors Catch regressions early in SDLC, not production Automated tests prevent regressions in the response of your service and all outgoing calls. Test queue consumers, databases or 3rd party systems to never miss logical errors. Read More Confident Release Release with High Coverage without writing tests Forget writing unit tests and measure all tested and untested parts of your code. Cover legacy to new code in days. Read More Top Use Cases From APIs to Queues, Databases to Microservices: Master Your Integrations High Unit Test Coverage HyperTest can help you achieve high >90% of code coverage autonomously and at scale. We can write 365 days of effort in less than a few hours. Database Integrations It can test the integration between your application and its databases, ensuring data consistency, accuracy, and proper handling of database transactions. API Testing HyperTest can validate the interactions between different components of your application through API testing. It ensures that APIs are functioning correctly and communicate seamlessly. Message Queue Testing If your application relies on message queues for communication, HyperTest can verify the correct sending, receiving, and processing of messages. Microservices Testing HyperTest is designed to handle the complexities of testing microservices, ensuring that these independently deployable services work harmoniously together. 3rd-Party Service Testing It can test the integration with external services and APIs, ensuring that your application can effectively communicate with third-party providers. HyperTest in Numbers 2023 Year 8,547 Test Runs 8 million+ Regressions 100+ Product Teams 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 Prevent Logical bugs in your databases calls, queues and external APIs or services Take a Live Tour Book a Demo

Automatically discover and test real-world scenarios before they cause production incidents. Find testing gaps in minutes, not months Automatically discover and test real-world scenarios before they cause production incidents. Try it now Take a Live Product Tour Developers at the most innovative companies trust HyperTest for confident releases HyperTest’s key advantage Automatically generate test cases from real user behavior to ensure tests reflect actual usage patterns and catch real-world issues. Identify untested edge cases and coverage gaps to detect blind spots in testing, including critical scenarios often missed in manual test creation. Analyze data variation patterns for better test data to create more realistic and comprehensive test datasets. Testing That Writes Itself Generate comprehensive tests from real user flows <> AutoGeneration Edge Cases Integrations <> Automatic Test Case Generation Stop writing test cases manually. We analyze real user flows and automatically generate comprehensive test suites that cover actual usage patterns. // Captured from Production: POST /api/orders Input: { items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" } → validateInventory() ✓ → applyPromoCode() ✓ → calculateTax("EUR") ✓ // Generated Test Case: test('order with promo code and EU tax', () => { const result = await processOrder({ items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" }); expect(result).toHaveSuccessStatus(); expect(result.tax.type).toBe('VAT'); }); <> Edge Case Discovery Automatically discover and test edge cases you never knew existed. We analyze production traffic to find rare combinations and generate tests for these scenarios. // Generated Edge Case Test: POST /api/orders Input: { items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" } → validateInventory() ✓ → applyPromoCode() ✓ → calculateTax("EUR") ✓ // Generated Test Case: test('order with promo code and EU tax', () => { const result = await processOrder({ items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" }); expect(result).toHaveSuccessStatus(); expect(result.tax.type).toBe('VAT'); }); <> Automatic Test Case Generation Stop writing test cases manually. We analyze real user flows and automatically generate comprehensive test suites that cover actual usage patterns. // Captured from Production: POST /api/orders Input: { items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" } → validateInventory() ✓ → applyPromoCode() ✓ → calculateTax("EUR") ✓ // Generated Test Case: test('order with promo code and EU tax', () => { const result = await processOrder({ items: [{id: "item_1", qty: 2}], currency: "EUR", promoCode: "SUMMER23" }); expect(result).toHaveSuccessStatus(); expect(result.tax.type).toBe('VAT'); }); For Developers You're building an order processing service: The tool automatically records how your code handles different order types, payment methods, and edge cases It captures real scenarios like: What happens when a user has store credit + gift card + partial refund? You can replay these scenarios in your tests without manually writing test cases For Engineering Leaders Instead of spending sprints writing test cases, your team gets high coverage automatically. You can prove to stakeholders that critical paths are tested with real-world scenarios Take a Complete Product Tour Debug Like You Have a Time Machine Get Started for Free Achieve >90% Code Coverage in hours, without writing single line of test code Get Started for Free

Start Testing your Services for Free, No Credit Card needed PLEASE USE YOUR WORK EMAIL ID Continue with Google Continue with Microsoft Continue with GitHub By clicking “Continue with Google/Microsoft/GitHub” above, you acknowledge that you have read and understood, and agree to HyperTest's Terms & Conditions and Privacy Policy. Click here to Expand 👇 >90% Code Coverage Records real requests, responses, and outbound calls from any environment. Tracks code lines tied to these requests and displays coverage on the dashboard. Auto-Mocking Allows developers to mock database states, APIs, and service contracts for testing, with automatic updates. Change Intelligence Identifies the exact lines changed between the new build and the master branch, running only the tests relevant to those changes in your CI pipeline.

HyperTest generates integration tests that achieve over 90% coverage, ensuring fast and bug-free deployment of distributed services. WEBINAR | On-Demand | "No More Writing Mocks: The Future of Unit & Integration Testing" >> HyperTest enables developers to fix integration issues quickly Use AI agents that tests every possible scenario pre-release so that developers release on-time, without worrying about failures Request a Demo Product Live Tour Developers at the most innovative companies trust HyperTest for confident releases Why we built HyperTest? Unit tests are useful for checking the logic within a service but fail to test the dependencies between services. Integration testing comes to the rescue, but as opposed to the well-standardized unit testing frameworks, there was no off-the-shelf integration testing framework that we could use for our back-end services. Paul Marinescu Research Scientist View Source How it Works For Developers For Engineering Leaders Why Should Developers Use it? Get Powerful Integration Tests Test code, APIs, data layer and message queues end to end at the same time Automate Testing with Self-healing Mocks Use mocks that mimic external interfaces to test user behavior not just code Shift left like it needs to be Run tests locally with pre-commit hooks or at CI to catch issues early and fast Why Should Engineering Managers Consider it? Missing Delivery Deadlines Ineffective automated testing # 1 reason for slow releases High Technical Debt Complex codebase that is becoming hard to maintain with high risk for failures and downtimes Low Developer Productivity Developers spending all their time fixing issues risking burnout and no time for innovation Learn how it works 100% Autonomous Record and Replay. Generates integration tests automatically from real user traffic. Fully autonomous with Zero maintenance. 2 min. Setup Add 2-line SDK in your application code. Records tests from any environment to cover >90% lines of code in a few hours. Catch Bugs Early Run tests as automated checks pre-commit or with a PR. Release new changes bug-free in minutes, not days or weeks. Hear from our Customers HyperTest has been a game-changer for us in Integration 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 We have recently upgraded our code framework. And by running one instance of Hypertest, we got the first-cut errors in less than an hour , which could have taken us a few days. Vibhor G VP of Engineering Hypertest unique selling point is its ability to generate tests by capturing network traffic, they have reduced the overhead of writing test cases, and its reports and integrations have helped us smoke out bugs very quickly with very little manual intervention. Ajay Srinivasan Senior Technical Lead Trace failing requests across microservices Test Service Mesh with Distributed Tracing HyperTest context propagation provides traces across multiple microservices, helping developers debug root causes in a single view. It cuts debugging time and tracks data flow between services, showing the entire chain of events leading to failure. Read More Test code, APIs, data, queues without writing tests Power of foundational models with Record and Replay Test workflows, data and schema across APIs, database calls and message queues. Generate tests from real userflows to uncover problems that only appear in production like environments Read More Shift-left with your CI pipeline Release with High Coverage without writing tests Forget writing unit tests and measure all tested and untested parts of your code. Cover legacy to new code in days. Read More Top Use Cases From APIs to Queues, Databases to Microservices: Master Your Integrations High Unit Test Coverage HyperTest can help you achieve high >90% of code coverage autonomously and at scale. We can write 365 days of effort in less than a few hours. Database Integrations It can test the integration between your application and its databases, ensuring data consistency, accuracy, and proper handling of database transactions. API Testing HyperTest can validate the interactions between different components of your application through API testing. It ensures that APIs are functioning correctly and communicate seamlessly. Message Queue Testing If your application relies on message queues for communication, HyperTest can verify the correct sending, receiving, and processing of messages. Microservices Testing HyperTest is designed to handle the complexities of testing microservices, ensuring that these independently deployable services work harmoniously together. 3rd-Party Service Testing It can test the integration with external services and APIs, ensuring that your application can effectively communicate with third-party providers. HyperTest in Numbers 2023 Year 8,547 Test Runs 8 million+ Regressions 100+ Product Teams Prevent Logical bugs in your database calls, queues and external APIs or services Book a Demo

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Elevate your testing game with HyperTest! Secure a demo now and fortify your production against bugs. Guarantee a seamless release cycle with zero compromises. Get Your Custom Demo within 24 Hours We helped agile teams achieve 2X release velocity & 90% code coverage without ever writing test code. "HyperTest has been a game-changer for us in Integration 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 Your Application Programming Stack I agree to the Terms of Service and Privacy Policy. Let's talk