ML-Based Application Tuning for Java
  • Type Learning
  • Level Foundational
  • Time Hours
  • Cost Free
Additional Details

ML-Based Application Tuning for Java

Issued by StormForge

The badge recipient understands the challenges associated with manually tuning resources for Java applications in Kubernetes. The individual also understands the role of machine learning and experimentation for optimizing Java applications. A person who earns this badge has hands-on experience using machine learning to increase application performance at scale while reducing resource footprint quickly and efficiently.

  • Type Learning
  • Level Foundational
  • Time Hours
  • Cost Free
Additional Details

Skills

Earning Criteria

  • Complete StormForge online workshop - a 6-hour, hands-on lab focused on optimizing Java applications running in Kubernetes using advanced machine learning technologies.
  • Deploy an automated experimentation-based approach to achieving Java application performance optimization in complex Kubernetes environments.
  • Utilize experimentation results and analysis to make decisions that optimize Java application performance and cost-efficiency trade-offs.