Jakarta Concurrency: Present and Future
Jakarta Concurrency is a small, but fundamental, specification in the Jakarta EE umbrella. As project lead, I provide more information on …
Performance
Monitoring Spring Boot Applications (Part 1)
In part 1 of this new Foojay series, learn about JDK Flight Recorder and how we can use it to monitor a Spring Boot application.
Debugging RAM: Java Garbage Collection - Java Heap Deep Dive (Part 1)
Memory usage is one of the most important aspects for devs in general and Java SE devs in particular. GC tips, tricks, internals, and more!
Hashcode and Equals: Debugging and Performance
Standard Java methods hashcode & equals are crucial to performance but this is very hard to detect as they're often too small for profilers.
Fail-Fast Reliable Software Strategy. Debug Failures Effectively
A broken kitchen appliance leads me down the path of intelligent failure, downside risk, exponential growth and Cloud computing!
Native-image with Quarkus
Quarkus brings an exciting take to the table. Unlike Micronaut, it doesn't generate additional bytecode during each compilation.
Native-image with Micronaut
Last week, I wrote a native web app that queried the Marvel API using Spring Boot. This week, let's do the same with the Micronaut …
A List of Cache Providers
Recently, we described several criteria to look at to choose a cache. Now it’s time to list Java cache providers based on these criteria.
Kotlin and FaaS: An Impossible Union?
I'd like to first explain why the JVM platform is a bad idea for FaaS. Then, I'll proceed to propose alternatives to use Kotlin nonetheless.
How to Choose a Cache: Capabilities
Like in many design decisions, a cache is a trade-off. Caching is a trade-off where you accept stale data to have them available/fast.