San Franciso, CA, USA
2021
  |  By Keploy
If your team spends more hours fixing tests than writing features, you already know the problem. You don’t need another lecture on "why testing matters." You need to reduce test maintenance without gutting your coverage, and you need it to actually stick past next sprint.
  |  By Keploy
I’ve watched enough production incidents get traced back to a "small" API change to know this: contract testing tools exist because integration bugs are expensive, and most teams find that out the hard way. One service changes a response field, nobody notices until a downstream consumer breaks in production, and now three teams are on a call at 11 PM figuring out whose change caused it. Most "best contract testing tools" lists just dump fifteen names on you with no structure.
  |  By Keploy
CI/CD testing is the practice of running automated tests throughout a Continuous Integration and Continuous Delivery (CI/CD) pipeline to validate every code change before deployment. By automating unit, integration, API, and end-to-end tests, teams can catch bugs early, improve code quality, and release software faster with confidence.
  |  By Keploy
Every bug that gets fixed in your product goes through the same journey. Someone finds it, someone confirms it, someone fixes it, and someone proves the fix actually works. That journey is the bug life cycle, and teams that manage it well ship faster than teams that treat bug tracking as an afterthought.
  |  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.
  |  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.
  |  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.
  |  By Keploy
A developer writes a function. That function gets wired into a module. The module joins the rest of the application. And at some point, someone outside engineering has to decide whether the whole thing is actually good enough to ship. Four different moments, four different kinds of testing, that’s the whole idea behind levels of software testing.
  |  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.
  |  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.
  |  By Keploy
Your developers — and your AI agents — need a safe way to test against production-like behavior. Keploy records real API traffic and replays it as a digital twin sandbox, so you can catch regressions before they ship. No manual mocks. No production access. No complex test environment setup. Record → generate tests and mocks → replay in CI.
  |  By Keploy
Give your developers — and your AI agents — a digital twin of your live environment. Keploy records real traffic from your live services (no production access, nothing to spin up) and replays it as a faithful twin, so you can continuously verify behavior and catch regressions before they ship. In this demo: record a live service, turn that traffic into integration tests and mocks automatically, replay everything against digital-twin sandboxes, and wire it into CI for continuous verification.
  |  By Keploy
In this video, I walk through how Keploy works with Claude to make testing faster and more reliable for developers. You’ll see how to use Claude with Keploy to generate test cases for a new feature, based on your application context and API behavior. I also cover what happens when a Keploy test fails because of a breaking change, regression, or an expected product update.
  |  By Keploy
see Keploy’s agentic-AI in action! In this quick demo we paste a handful of cURL calls, the GitHub base URL, and the OpenAPI spec—then ask Keploy for 40 test flows. In under a minute it.
  |  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.
  |  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.
  |  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.
  |  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.
  |  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 ".
  |  By Keploy
Talking about Open Source, and Git was still new Open Source VCS. Today 93% of devs use it to build & deploy software.

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.