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By Keploy
The first time I watched a deployment take down a production app, I was a junior engineer with no idea what a deployment strategy actually was. I assumed "deploying" just meant pushing code and refreshing the page. Deployment strategies are the structured approaches development teams use to release software updates into production, defining how, when, and how safely code moves from a repository into the hands of real users.
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By Keploy
Passing automated tests doesn’t always mean your software is ready for users. Many issues only surface when business stakeholders interact with the product in real-world scenarios and validate it against actual requirements. That’s where UAT testing software comes in. It helps teams manage test cases, collaborate with stakeholders, track defects, and streamline the final approval process before release.
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By Keploy
MTTR is the metric that tells you how long your users wait after something breaks. According to Splunk and Cisco’s Hidden Costs of Downtime 2026 report, unplanned downtime now costs organisations an average of $15,000 per minute. Across the Global 2000 companies, the aggregate annual cost has surged to $600 billion, a 50% increase in just two years. Engineering teams shipping to production multiple times a day face a simple reality: incidents aren’t a matter of if.
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By Keploy
White box testing is what separates teams that know their code works from teams that hope it does. High code coverage numbers can be misleading. A suite with 90% statement coverage can still miss the branch that throws a NullPointerException in production, or the loop condition that behaves differently on an empty list. White box testing is not just about running code – it’s about systematically verifying that every path, condition, and branch in your logic behaves the way you intended.
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By Keploy
Your Mac is cluttered. You can’t find files. Too many apps everywhere. This guide shows you exactly how to clean it up. I’ll walk you through simple steps to organize your Mac workspace so you can actually focus on your work instead of hunting for files.
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By Keploy
Sandbox testing catches the failures that staging misses, and production makes expensive. Every team reaches a point where testing against real systems stops being practical. The payment gateway costs money per call. The third-party notification service has rate limits. One wrong database query corrupts shared test data and breaks everyone’s runs. A sandbox environment for testing gives you an isolated, controlled space where none of that matters.
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By Keploy
How much of your CI runtime is spent waiting on APIs that return the same response every time? For most teams, it’s more than they realise. Mock testing cuts that wait to zero. Instead of calling real services, teams simulate the responses they need. Faster feedback, better isolation, and test runs that don’t fail because a payment sandbox was slow. But like most testing techniques, mocking works well only when used correctly.
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By Keploy
Your team ships a UI update on Monday. By Tuesday morning, 47 automated tests are failing and half of them are not real bugs. They broke because a button ID changed from confirmButton to confirm-purchase-btn. Your engineers spend hours figuring out what is an actual regression and what is just a broken locator. Self healing test automation solves this by allowing tests to automatically recover from UI changes, locator failures, timing issues, and API schema updates without constant manual fixes.
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By Keploy
Key Takeaway The best API testing tool in 2026 depends entirely on what your team is trying to do. If you want to stop writing tests by hand and automatically generate them from real traffic, Keploy is the only open-source tool built specifically for that. For manual exploration, Bruno and Postman are your best options. For Java teams, REST Assured and Karate are still the gold standard. This guide organizes all 12 tools by what you actually need, not just a ranked list.
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By Keploy
Production testing is what happens when you stop trusting staging. Your CI pipeline was green. Your staging environment passed. And then a user filed a bug that broke checkout for 12% of your traffic – a bug that only appeared under real database load with real session data. That scenario is not rare. Testing in production means validating your software directly in the live environment, using real users, real traffic, and real data – under conditions no staging setup can fully replicate.
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By Keploy
Learn how to migrate effortlessly from Cypress to Keploy for API testing in this step-by-step guide. Keploy is an open-source testing platform that simplifies API testing by enabling zero-code test generation and mocking, saving time and effort.
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By Keploy
Learn how to migrate effortlessly from RestAssured to Keploy for API testing in this step-by-step guide. Keploy is an open-source testing platform that simplifies API testing by enabling zero-code test generation and mocking, saving time and effort.
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By Keploy
Istio Ambient Mesh is a massive overhaul of Istio's data plane architecture. The goal is to simplify operations and make it more cost effective to run a service mesh like Istio in production. In this video we will look at: 1] What are the challenges of a traditional service mesh sidecar approach? 2] Take a look at how Istio Ambient Mesh Solves that problem.
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By Keploy
Outline/Structure of the TalkStructure: Introduction to Theoretical Models: A quick rundown of the Testing Pyramid, Testing Trophy, and Testing Honeycomb, and what they're all about.
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By Keploy
Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".
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By Keploy
Talking about Open Source, and Git was still new Open Source VCS. Today 93% of devs use it to build & deploy software.
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By Keploy
Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".
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By Keploy
The resurgence of Artificial Intelligence (AI) in recent years owes much to a pivotal moment: the publication of a groundbreaking paper by Google. This event underscores the significant role of Open Source in advancing AI technologies. In this presentation, we delve into how Open Source is not just influencing but also shaping the landscape of Generative AI (GenAI). However, our focus extends beyond the traditional dichotomy of Open Source versus proprietary technologies. Instead, we explore the complementary nature of both realms in fostering the development of the AI ecosystem.
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By Keploy
GitOps enhances the DevOps experience/process. My talk is based on GitOps. I will be explaining GitOps workflow, its use cases and how companies can incorporate GitOps in their organization. I will share my experience on how I started using GitOps and what problems it is solving. I will be giving a small demo on GitOps concept to show how deployment can be done with the use of GitOps in Kubernetes. This will help developers, organization and each individual.
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By Keploy
Combinatorial testing is a crucial technique for ensuring software reliability by efficiently testing various combinations of input parameters. However, manual creation and execution of test cases for all possible combinations can be time-consuming and impractical. To address this challenge, this talk introduces an open-source tool designed to streamline combinatorial testing processes, maximizing test coverage while minimizing effort.
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Keploy is a developer-centric backend testing tool. It makes backend tests with built-in-mocks, faster than unit tests, from user traffic, making it easy to use, powerful, and extensible.
- Combined Test Coverage: Merge your Keploy Tests with your fave testing libraries(JUnit, go-test, py-test, jest) to see a combined test coverage.
- EBPF Instrumentation: Keploy uses EBPF like a secret sauce to make integration code-less, language-agnostic, and oh-so-lightweight.
- CI/CD Integration: Run tests with mocks anywhere you like—locally on the CLI, in your CI pipeline, or even across a Kubernetes cluster. It's testing wherever you want it!
- Multi-Purpose Mocks: Use 'em in existing tests, as server tests, or just to impress your friends!
- Record-Replay Complex Flows: Keploy can record and replay complex, distributed API flows as mocks and stubs. It's like having a time machine for your tests—saving you tons of time!
Give your teams the tool they need to move faster.