Keploy

As teams adopt cloud-native architectures with complex service dependencies, the environment tests run on has become a common source of failure. Results often fail because of the ground tests run on, not the code.

The latest resource from Keploy helps developers and QA teams build reliable distributed applications with proven microservices testing strategies.

As software development teams continue to increase deployment frequency, maintaining software quality has become one of the biggest challenges in modern engineering.

New resource breaks down how the two testing phases differ and where each fits in the software development lifecycle.

As software teams accelerate release cycles, API reliability has become more critical than ever.

Most engineering teams don't struggle with writing test plans. They struggle with following through on them. Test cases get documented, reviewed, and signed off, and then release pressure kicks in and half of them never run.

As software teams accelerate release cycles through CI/CD and cloud-native architectures, deployment strategies have become a critical factor in ensuring application reliability, minimizing downtime, and reducing release risk.

Development teams are replacing manual API testing workflows with automated solutions - and Keploy is leading that shift as a modern Postman alternative.

Engineering teams are adopting automated testing as the primary lever for improving DORA metrics, driving measurable gains in change failure rate, MTTR, and deployment frequency.

Modern engineering teams are placing greater emphasis on performance validation as applications become increasingly distributed, API-driven, and cloud-native.