Observability19 articles

I reached out to one of my fellow Java developers who is very experienced and has been working in the industry forever and asked for his thoughts about the observability improvements in JDK 21 and Spring Boot 3.2.

In this article, we want to share our experience using real-life examples on how to identify and optimize slow SQL queries, especially when working with relational database management systems like PostgreSQL, MySQL, MSSQL, Oracle, etc.

In this article, we’ll examine cache misses and, in general, learn about the caching concept and how to implement it in Spring Boot.

How to make sure you’re unlocking the full potential of Spring Boot. 9 ways to improve your Spring Boot Skills.

How to use another kind of eBPF maps, the perf event buffer, and run tests with docker and JUnit 5.

Cloud servers, Docker, Kubernetes, distributed systems, scaling up and down… these things are now part of our daily job, but Java wasn’t originally designed for it.

Collecting important data about your code in dev and test has become trivial, it’s now also getting easier to put that data to use.

Design patterns plays a pivotal role in designing and solving the commonly occurring problems in software application.

Tests can run limited sets of assertions on your code, or reveal important insights about how your application really works!

There’s a newer approach to developer observability that helps with deeper understanding. Learn how code works in production, not in theory.