Have your Oracle Java costs gone through the roof? #SwitchToAzul
Learn how Platform Prime helps your Java start fast, run fast and stay fast
In this webinar, find out more about the pros and cons of JIT and AOT compilation and explore trade-offs between initial and overall performance.
In this webinar, find out how Workday relies on Azul Zing to power Java-based SaaS for millions of employees.
Taboola powers its Discovery & Advertising Platform that serves content to 1.4B people each month with Azul Platform Prime.
Azul Platform Prime delivers a robust, highly scalable Java Virtual Machine that reduces infrastructure costs and improves performance. Learn More!
In this webinar, Azul’s Deputy CTO Simon Ritter walks through how to develop and deploy an example set of Spring Boot microservices and show how we can deploy them with Zing. He explains how Zing redu
In this webinar, Brett Vasconcellos, Azul customer and CTO of BIDS Trading, discusses with Gil Tene, CTO of Azul, how he optimized their Java infrastructure to achieve phenomenal results.
In this webinar, find out how Azul Zing, a simple drop-in replacement for your current JVM, turbocharges your Java application while reducing costs.
Cost savings and business benefits enabled by Azul Platform Prime.
Ariel Pisetzky, Taboola's VP of IT, explains why switching to Azul Java to power their Big Data infrastructure was essential to fuel the rapid growth of their company.
This paper highlights ways in which Zing, a better JVM, can reduce operating costs and bring incremental value to your business.
Learn more about how Azul C4 differentiates itself from other garbage collectors in the market.
Garbage Collection (GC) is an integral part of application behavior on Java platforms, and Azul Platform Prime delivers the best solution.
ReadyNow! with Azul Platform Prime.
How Azul Platform Prime addresses the performance of bytecode interpretation and adaptive compilation.
Microservices are becoming the de facto architectural approach to developing new applications. Breaking up monolithic application functionality into smaller services that can be linked together has ma
How rapidly changing levels of demand affect Java application system capacity and performance, specifically memory utilization, code performance, and speed of application warmup.
Java is increasingly relevant to machine, deep, and reinforcement learning. Java developers need no longer be restricted to technical computing and statistical programming languages like Python and R.
An introduction to building enterprise applications using microservices, Java, Docker and Kubernetes.
Find out how Bazaarvoice managed to save costs by deploying Azul Zing...
With Azul Platform Prime, Apache Kafka runs 20% faster out-of-the-box, delivering at least 15% infrastructure savings