Most Spring Boot applications run perfectly in development.

The APIs respond quickly, tests pass, and everything seems stable.

But once the application reaches production, things can change dramatically — slow responses, memory issues, and unexpected failures start appearing.

In many cases, the problem isn't Spring Boot itself.
It's a set of common mistakes developers unknowingly introduce into their applications.

In this article, we'll explore 7 critical mistakes that cause many Spring Boot apps to fail in production — and how to avoid them.

Learn why test automation frameworks are essential for scalable testing, enabling teams to manage large test suites, improve test efficiency, and maintain reliable software quality.

System Integration Testing (SIT) is an essential phase in the software testing lifecycle that focuses on verifying how different components of a system interact with each other. In modern software applications, multiple modules such as APIs, databases, services, and external systems work together to deliver functionality. While individual modules may function correctly when tested separately, issues often arise when these modules are integrated. SIT helps identify and resolve such issues before the software moves to later testing stages.

Software Regression Testing Services: Ensuring Stability After Every Change

Incident dashboards measure system health, but rarely show the workload and strain engineers face when responding to alerts. Incident load isn’t only about the number of incidents, but the patterns surrounding them. In this article we explore these patterns and introduce On-Call Health, an open-source tool that analyzes engineering signals to surface early burnout trends, highlighting why incident volume alone isn’t enough and why after-hours interruptions, workload stacking, and long-term trends matter.