Azul Announces Strategic Investment from Thoma Bravo. Read More Here
Support
Speak to a Java Expert Download Now
resourecs-hub-home-bg

Java Resource Hub

Java Performance

Learn More About the Memory Use of Java Applications

Determining the ideal memory size for Java applications can be challenging, but critical to achieve maximum performance.
High Performance JVM

Simplifying Application Modernization to the Cloud
DevOps Analytics

Get Your Developers Back to Work
Java Performance

The Art of Performance Tuning in Java
text-image-resources-bg

Join over 8,000 working professionals who’ve already subscribed to the Azul Newsletter

Sign Up Now

Stay Connected with Azul

Explore Resource Hubs

DevOps Analytics
High Performance JVM
Java Performance
Java Support
Does Oracle Own Java: JDK Migrations & Oracle
OpenJDK: Java Development Kit

All Resources

search
Products
Type
Topic
Role
Found all results
Searching on a tablet computer

No Results to Show

Uh-oh, we couldn’t find any results that match. Adjust your filters or search and try again.

Java Performance

Learn More About the Memory Use of Java Applications
High Performance JVM

Simplifying Application Modernization to the Cloud
Java Performance

The Art of Performance Tuning in Java

 Kafka Nov 11
Java Performance

How to Boost Kafka Performance in One Day
High Performance JVM

Three Ways to Improve Java-Based Microservices
Java Performance

A Shortcut to Reducing Cloud Compute Spending 
Java Support

Gartner’s 3 Steps to Manage Exposure to Oracle Java Licensing
Does Oracle Own Java: JDK Migrations & Oracle

Is Unsupported OpenJDK for Universities Good Enough?
Java Performance

When Java Performance Matters, What Do You Do?
Java Support

How to Upgrade Java on a Hamster Wheel

 Master Your Journey in the School of OpenJDK Migration
Does Oracle Own Java: JDK Migrations & Oracle

Migration Tech Talk

 itam-sam-teaser
Does Oracle Own Java: JDK Migrations & Oracle

The ITAM/SAM Survey & Report

Research & White Papers
Kafka Nov 11
Java Performance

How to Boost Kafka Performance in One Day

Tuning Kafka can feel like guesswork. Tweaking partitions, replica fetch sizes, and I/O threads only delivers small gains, while finding the “right” configuration at scale can seem impossible. The real key to performance lies in the Java Virtual Machine (JVM), which directly controls how Kafka executes workloads at scale. We’ll show how the JVM directly impacts Kafka’s efficiency and how the right JVM can deliver measurable improvements.
High Performance JVM

Three Ways to Improve Java-Based Microservices
Java Performance

A Shortcut to Reducing Cloud Compute Spending 
Java Support

Gartner’s 3 Steps to Manage Exposure to Oracle Java Licensing