Great optimization for large JVM infrastructures
October 05, 2022

Great optimization for large JVM infrastructures

Keith Sader | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azul Platform Prime

We use Azul Prime to reduce latency and increase EC2 instance efficiency withing a real time bidding platform. Speed is life for any real time system and any ad serving platform and we're looking to extract any efficiencies we can.


  • JVM memory allocation and garbage collection
  • Developer monitoring tools
  • Customer support


  • Cloud level payments. This was a manual process for us and them.
  • Provide either default Docker containers for applications or Amazon AMIs
  • Add some hands-on training courses for their dev tooling.
  • Improved stability during our seasonal busy period
  • Increased efficiency of AWS EC2 resources - we could use all of the memory on the machines
  • Took the JVM optimization burden off of the engineering staff.
Azul has better JVM garbage collection on machines with huge amounts of memory that the OSS version of Java doesn't handle.
Prime support has been responsive in helping us tune our JVM parameters and diagnose any lingering Java resource issues.

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Azul helped use reduce and more efficiently use our AWS EC2 resources. We approached them in Q3 of 2021 with the goal of reducing our overall latency on the JVM 8 platform. They managed to do that for us in such a way that we could expand our options within EC2 for machine architectures and take advantage of additional resources on existing infrastructure that OpenJDK could not at that time.

I'd recommend the platform for teams that are looking to focus on their business problems and not wanting to allocate engineering staff to be full time JVM engineers. I'd also recommend them for companies that have a large extant JVM systems that want a fairly easy way to optimize their current systems without entire rewrites.


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