StormForge

Supported OS Linux

Overview

StormForge Optimize Live applies machine learning to your observability metrics to make real-time recommendations to resource requests for any deployment running in Kubernetes.

With StormForge Optimize Live, you can:

  • Improve resource efficiency
  • Leverage existing observability data
  • Reduce risk of performance issues
  • Achieve fast time to value
  • Deploy recommendations automatically or with approval

Setup

To set up this integration, you must have a StormForge account along with Datadog API and application keys.

Configuration

  1. Create a Datadog API key.
  2. Create a Datadog application key.
  3. Add Datadog API and application keys to the StormForge Datadog Integration.
  4. Deploy Optimize Live
  5. Set up your Applications within StormForge.

More detailed instructions can be found in the StormForge getting started guide.

Data Collected

Metrics

stormforge.recommendation_cpu_limits_cores
(gauge)		Recommended CPU limit setting
Shown as core
stormforge.recommendation_cpu_requests_cores
(gauge)		Recommended CPU requests setting
Shown as core
stormforge.recommendation_memory_limits_bytes
(gauge)		Recommended Memory limit setting
Shown as byte
stormforge.recommendation_memory_requests_bytes
(gauge)		Recommended Memory requests setting
Shown as byte
stormforge.recommendation_target
(gauge)		Recommended HPA Target setting
Shown as percent

Events

The StormForge integration creates events for:

  • Application updates
  • Recommendations that have been applied

Service Checks

The StormForge integration does not include any service checks.

Support

For questions or other support, you can contact StormForge via email.