Keploy Blog

Author: Alok Kumar

  • Maintenance Testing: Types, Challenges & Tools (2026)

    Maintenance Testing: Types, Challenges & Tools (2026)

    Last month, a two-line bug fix took down three unrelated features in a colleague’s app. The fix itself was correct — it patched a null check on a checkout API. Nobody re-ran the tests for the inventory service that depended on it, and by Monday, support tickets were stacking up. That gap is exactly what…

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    Animesh Pathak
    in
  • How to Reduce Test Maintenance Without Losing Coverage

    How to Reduce Test Maintenance Without Losing Coverage

    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. Industry estimates put the scale of the problem in perspective:…

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    Animesh Pathak
    in
  • CI/CD Testing: Complete Guide to Continuous Testing (2026)

    CI/CD Testing: Complete Guide to Continuous Testing (2026)

    CI/CD testing runs automated tests inside your continuous integration and delivery pipelines so every change is validated before it ships. Unit, integration, and end-to-end tests fire on each commit or merge. Keploy fits naturally here, generating API tests and mocks from real traffic and running them CI/CD-native so pipelines gain coverage without extra scripting. In…

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    Animesh Pathak
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  • 12 Best Contract Testing Tools in 2026

    12 Best Contract Testing Tools in 2026

    Contract testing tools verify that a consumer and provider agree on the API between them, catching breaking changes before they ship without running full integration suites. Pact and Spring Cloud Contract lead here, while Keploy complements them by generating mocks and tests from real interactions. I’ve watched enough production incidents get traced back to a…

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    Animesh Pathak
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  • Deployment Strategies Every Developer Should Know

    Deployment Strategies Every Developer Should Know

    Deployment strategies define how new software versions are released to production while minimizing risk and downtime. Common approaches include blue-green, canary, rolling, and recreate deployments, each balancing speed, safety, and rollback ease differently. The right choice depends on your uptime needs, infrastructure, and tolerance for risk. The first time I watched a deployment take down…

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    Animesh Pathak
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  • 12 Best UAT Testing Software Tools in 2026

    12 Best UAT Testing Software Tools in 2026

    UAT testing tools help teams plan, run, and track user acceptance testing, managing test cases, capturing feedback, and documenting sign-off. Leading options include TestRail, Zephyr, Testsigma, UserTesting, and Marker.io, which streamline collaboration between testers, business users, and stakeholders before a release is approved. Finding the right UAT testing tool can help teams validate software against…

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    Animesh Pathak
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  • In-Depth Testing: Stop Shipping Bugs Your Tests Missed

    In-Depth Testing: Stop Shipping Bugs Your Tests Missed

    I’ve pushed code that cleared every CI check, watched the green badge appear, shipped to production — and then spent the next two hours on a rollback. That experience was my real introduction to in-depth testing. In-depth testing is the practice of validating software behavior across multiple layers: unit logic, component interactions, end-to-end user flows,…

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    Animesh Pathak
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  • Self-Healing Test Automation: How It Works and How to Implement It

    Self-Healing Test Automation: How It Works and How to Implement It

    Self-healing test automation detects and recovers from application changes – broken locators, timing issues, schema drift – without manual intervention. Most tools focus only on UI selector healing, but selector failures are just ~28% of real test failures. The rest come from timing, data, runtime, and API schema issues. For schema drift specifically, Keploy detects…

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    Animesh Pathak
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  • Test Data Management: Complete Guide, Best Practices & Tools[2026]

    Test Data Management: Complete Guide, Best Practices & Tools[2026]

    Test data management (TDM) is the practice of creating, maintaining, and provisioning the data tests need in a controlled, reusable way, including generating realistic datasets, masking sensitive fields, and refreshing environments. One shortcut for API teams is Keploy, which derives test data and mocks directly from real traffic, so datasets mirror actual usage without manual…

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    Animesh Pathak
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  • API Testing Strategies: A Complete Guide (2026)

    API Testing Strategies: A Complete Guide (2026)

    An API testing strategy defines how you plan, prioritize, and structure tests across an API’s endpoints and workflows, from functional and contract testing to load, security, and CI/CD automation. Teams increasingly automate to cut manual effort; Keploy, for instance, turns real API traffic into test cases and mocks so coverage scales without hand-written scripts. API…

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    Animesh Pathak
    in