StormForge Hands-On-Workshops are a great way to get direct experience with our application optimization tools.
The StormForge Optimize platform uses machine learning to discover optimal application configurations via two methods:
- Experimentation: StormForge Optimize Pro employs an autonomous experimentation loop coupled with machine learning to optimize application configurations against load testing tools in a non-production environment. Optimal configurations along with parameter values can be explored and exported.
- Observation: StormForge Optimize Live analyzes metrics data from popular observability tools like Prometheus or Datadog to make recommendations on
cpu&memoryrequests&limitsvalues to each Kubernetes deployment in order to reduce overprovisioning and increase cluster efficiency. Recommendations can be implemented manually, automatically, or exported.
- SRE's
- Platform Engineers
- Performance Engineers
- Application Developers
Each workshop consists of a sequence of modules designed to walk the audience through the deployment and optimization of various applications using either Optimize Pro or Optimize Live with an entire workshop intended to be completed in ~4-hours (half-day).
- ML-Based App Tuning for Java with Optimize Pro