Cloud native application lifecycle orchestration

Use Cases

We extend the K8s APIs with the following Use Cases:

Deployment Observability

Make ANY Kubernetes Deployment observable

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Gather metrics from anywhere

Standardize access for all Observability Data for K8s

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Orchestrate Deployment Checks

Gain confidence in your work with pre-/post-deployment checks

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Deployment Observability

Making ANY K8s Deployment OBSERVABLE

If you deploy with ArcoCD, Flux, GitLab, kubectl, etc. we provide you:

  • Automated App-Aware DORA metrics (OTel Metrics)
  • Troubleshoot failed deployments (OTel Traces)
  • Trace deployments from Git to cloud (traces across stages)
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Higher Compliance

Gather metrics from anywhere

Standardizing access for all Observability Data for K8s

The Keptn Metrics Server provides:

  • Define Keptn Metrics once for Dynatrace, DataDog, AWS, Azure, GCP, …
  • Access all those metrics via Prometheus or K8s Metric API
  • Eliminate the need of multiple plugins for Argo Rollouts, KEDA, HPA, …
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Orchestrate Deployment Checks

To reduce complexity of custom checks use Keptn to:

  • Pre-Deploy:
    • Validate external dependencies
    • Confirm images are scanned
  • Post-Deploy:
    • Execute tests
    • Notify Stakeholders
    • Promote to next stage
  • Automatically validate against your SLOs (Service Level Objectives)
Get Started!

Keptn Recordings

See Keptn in Action

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Contributions welcome!

We do a Pull Request contributions workflow on GitHub. New users are always welcome!

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