AI workflows for infra and platform engineers

1 min read Original article ↗

Monitor every deploy

Every deploy is different. Cased analyzes each deploy and monitors for anomalies, new bugs, and performance issues.

main (a1b2c3d) → production

via GitHub Actions 3/3 checks

Response Time (avg)

142ms ↓ 8%

Error Rate

0.12% → stable

2 new Sentry errors detected post-deploy

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Custom infrastructure agents

Create and trigger custom agents to automate routine tasks and busy work.

Kubernetes Error Analyzer

Analyzes Kubernetes deployment errors from Groundcover alerts for automated diagnosis and remediation

Connect your runbooks and docs

Improve MTTR and reduce downtime with automated incident investigation

Natural language for devops tasks

Get suggestions for new alarms and setup new ones with natural language

Create a CloudWatch alarm when checkout latency >500ms

Drift detection with automated fixes

Stop chasing down infrastructure drift, fix with the click of a button

  • prod-api-cluster EKS

    Synced
  • user-uploads S3

    Out of sync
  • primary-db RDS

    Synced