StormForge

Supported OS Linux

Create an Application as a collection of resources to target for optimization.
Configure Optimize Live
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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 .