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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
The principles of software testing are the foundation of building reliable software. I’ve seen teams write thousands of test cases and still miss critical bugs in production. The problem is rarely effort – it’s direction. The software testing principles help teams focus on risk, prioritize effectively, and avoid wasted testing effort. Instead of chasing coverage blindly, they shape how testing should be approached at every stage of development.
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By Keploy
The software release life cycle (SRLC) is where most engineering failures begin. Not because of bad code, but because of a broken release process. In modern environments, applications run across APIs, microservices, and cloud infrastructure, where even small changes can ripple far. A well-defined release cycle – with clear stages, automated validation checkpoints, and rollback strategies is what gets code to users without surprises. Traditional testing validates components in isolation.
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By Keploy
I’ve seen teams burn weeks untangling API messes that could have been avoided with a couple of days of upfront thinking. Endpoints named inconsistently, versioning added as an afterthought, error responses that just say "something failed" all of it traceable back to the same root cause. Nobody sat down and actually designed the API before building it. That distinction between building an API and designing one is what this guide is about.
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By Keploy
APIs (Application Programming Interfaces) are the backbone of modern software; they let applications talk to each other, share data, and trigger actions across systems. Before any API goes live, it needs to be thoroughly tested to ensure it works correctly, handles edge cases, performs well under load, and stays secure. This guide covers all major types of API testing with real-world examples and tool recommendations.
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By Keploy
Test data management is what separates teams that ship confidently from teams that debug mysterious CI failures at 2 AM. If your staging environment has a six-month-old copy of your production database that "nobody touched," you already have a TDM problem — you just haven’t named it yet.
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By Keploy
API testing strategies directly impact your release cycle. With 83% of web traffic flowing through APIs, even a single failure can break payments, dashboards, and user experience. Teams that invest in automated API testing do not slow down, they ship faster with confidence. A strong strategy goes beyond checklists. It defines what success looks like, where tests run, how data stays consistent, and how testing fits into CI/CD.
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By Keploy
Automated regression testing is no longer just about rerunning test cases after every change. In modern systems, it’s about ensuring that rapid releases, distributed architectures, and constant updates don’t silently break existing functionality. As teams move faster, the real challenge is not running more tests, but running the right ones efficiently.
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By Keploy
The benefits of test automation become clear when software teams start releasing faster than they can manually test. Many engineering teams today face the same challenge: delivery speed is increasing, but validating every change manually takes too long. Test automation helps solve this by running tests quickly, catching bugs earlier, and reducing repetitive manual work so teams can release software with greater confidence.
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By Keploy
API testing services help organizations validate API functionality, performance, security, integrations, and reliability across the software lifecycle. These services are typically delivered by QA teams, testing vendors, or automation platforms to ensure APIs work correctly in real-world environments. APIs are no longer just backend infrastructure—they are the backbone of modern digital products.
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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.