Keploy

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.

Engineering teams under pressure to ship faster are turning to automated software testing tools to reduce the time and effort spent on manual quality assurance.

New engineering resource helps developers and QA engineers understand how structured testing phases reduce post-launch bugs by up to 80 percent before shipping to production.