Autonomous Performance Optimization for Java

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Autonomous Performance Optimization for Java

Many of the world’s mission-critical applications run on Java and, for many years, companies have relied on Java as the platform for enterprise systems. Java is a long-established standard, which offers developers efficiency and stability. Yet, developers and operators are struggling to meet Java application performance and efficiency goals.

With 20+ years of Java platform maturity and widespread adoption, why are teams falling short when it comes to managing Java application performance and infrastructure costs?

Our AI-driven performance optimization approach optimizes cloud configurations considering the real impact they have on application performance.

With Autonomous Performance Optimization, you can:

  • Increase application throughput by 24%;
  • Decrease memory footprint by 50%;
  • Save 80% in optimization effort and time.
Akamas named a Leader in the GigaOm Radar for Cloud Resource Optimization v5, 2026
Akamas named an Outperformer in the GigaOm Radar for Cloud Resource Optimization v5, 2026

See for Yourself

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