We’re excited to announce today the new Hands-on Kubernetes Optimization Workshop: Turn Java Tuning Frustration into Triumph with an ML-Based Approach. This StormForge-hosted training course for Kubernetes performance and resource optimization is the first of its kind. It introduces and explores optimization practices and offers first-hand experience using advanced Machine Learning to tune Kubernetes applications for resource efficiency without compromising performance. 

StormForge will be hosting two hands-on workshops, both online. 

The North America workshop takes place on August 30th, 2022: 

The workshop is also being offered in EMEA on September 8th, 2022:


StormForge Hands-On Essentials digital badge for ML-Based Application Tuning for Java
StormForge Hands-On Essentials digital badge for ML-Based Application Tuning for Java.

As indicated in the above registration pages, some prerequisites are required in order to attend the workshop. Please refer to the “Workshop Prerequisites” section of either the North America or EMEA registration page. In addition, space is limited to 20 attendees, so please reserve your spot now. Attendees who successfully complete the course will earn a StormForge Hands-On Essentials digital badge for ML-Based Application Tuning for Java.

Because Java is one of the most popular programming languages, we see major Java application migrations to Kubernetes every day. This course is timed and designed to meet the challenges and embrace the opportunities that Java on Kubernetes brings along.

Yes, it can be time-consuming and frustrating to tune Java apps running in Kubernetes. Developers and engineers either don’t have actionable data or are buried under mountains of disparate data, both of which make intelligent action and optimization nearly impossible. Most organizations end up over-provisioning resources and hoping for the best. We know there’s a much better way. 

In this workshop, we’ll cover: 

  • The challenges of manually tuning resources for Java apps in Kubernetes
  • The importance of machine learning and an experimentation-based approach for optimizing Java apps in Kubernetes
  •  Ways to increase application performance at scale while reducing resource footprint quickly and efficiently

You can gear up for the workshop by getting an expert’s perspective. Check out StormForge Senior Solutions Architect Patrick Tavares’s take on optimizing Java apps on Kubernetes in this New Stack article.

We look forward to you joining us! Reserve your spot today.

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