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Optimizing Price for Performance for Java Workloads with the Azul Java Optimization Index 

Azul’s Optimization Index is an aggregate index for measuring improvements in three areas: cloud cost optimization, Java workload performance improvements, and DevOps efficiencies experienced by customers over time. Published by Azul’s Performance Engineering Lab, it is calculated based on benchmarks from a comparable cohort of hundreds of customer Java workloads.

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Azul Retail Java Optimization Index

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 A Superior Java Runtime that Can Cut Infrastructure Costs by 20%+ 

Cloud Cost Optimization & Instance Resource Reduction  Improved Performance and Carrying Capacity DevOps & Operational Efficiency 

  • 40% compute reduction after transitioning hundreds of e-commerce Java applications to Azul Prime 

  • Increased CPU efficiency by ~20% on average​
  • Pushed individual instance CPU% thresholds higher via incremental utilization increases   
  • Incremental, phased deployments with no changes in code or DevOps workflows​  
  • Improved confidence in CI/CD processes of small fixes for smoother fleet restarts 

  • Immediate reduction in required footprint for each application, increasing CPU efficiency by ~20%  

  • Increased elasticity adoption and reduced minimum pod counts per application   

  • Eased deployment of new JVMs and optimized autoscaling, reduced over-provisioning statically scaled fleets  

Azul High Performance Java Platform Optimizes Cost and Performance  

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