How can optimizing the Java runtime reduce cloud costs?

Java runtime inefficiencies — JVM warmup delays, suboptimal garbage collection, over-provisioned heaps — cause organizations to run more cloud instances than necessary. Switching to a high-performance JVM like Azul Prime lets teams run the same workloads on fewer instances, directly reducing compute spend on AWS, Azure, and GCP.

What cloud platforms does Azul support?

Azul's products are cloud-agnostic and run on all major platforms including AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure. Azul also supports containerized deployments on Kubernetes and Docker.

How much can Azul reduce cloud infrastructure costs?

Azul Prime customers typically achieve cloud infrastructure cost reductions of 20% or more. A Forrester Total Economic Impact study documented 129% ROI, with infrastructure savings as the primary driver.

Does Azul Intelligence Cloud help with cloud cost visibility?

Yes. Azul Intelligence Cloud provides actionable insights from production Java runtime data, including identification of unused and underperforming code. This helps engineering and FinOps teams right-size deployments, eliminate wasted compute, and make data-driven decisions about cloud resource allocation.

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Benefits of Azul Prime – a High-Performance Java Platform

Faster Code Execution, Faster Java Apps

Runs Java code 20-50% faster and optimizes code execution to take full advantage of latest x86 and ARM processors. Delivers improved speculative optimizations with a better LLVM-based JIT compiler.

Greater Consistency, Higher Utilization

Maintains consistent service levels at higher loads and reduces CPU utilization. Eliminates pauses, jitters, and stalls by leveraging C4 – the world’s best pauseless garbage collector.

Improved Warmup, Increased Elasticity

Runs code at full speed from the outset. Dramatically improves challenges and reduces disruptions from starting and warming up new application instances (for scale, for code updates, for rollbacks, and for recovery). Adapts, learns, and propagates optimization profiles using ReadyNow technology.