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AI Chat Use Cases

Overview​

AI Chat gives you an interactive way to query your Kubernetes clusters. Here are the most common use cases.

Investigating Active Issues​

When something is wrong and you need to understand what's happening:

  • "Why is pod payment-api-xyz failing?"
  • "Show me the logs for the crashing container in namespace production"
  • "What events happened in the last hour for deployment api-gateway?"
  • "Are there any pods with high restart counts?"

Why it helps: Get answers in seconds instead of chaining together kubectl commands across multiple terminals.

Checking Cluster Health​

Proactive health checks without writing scripts:

  • "Are there any pods in CrashLoopBackOff across all namespaces?"
  • "What's the status of namespace production?"
  • "Show me any pods that are not in Running state"
  • "Are all services in production-payments healthy?"

Why it helps: One question replaces a series of kubectl get/describe commands.

Inspecting Resources​

Quickly review resource configurations:

  • "Show me the resource limits for deployment worker"
  • "What are the environment variables for the api-gateway deployment?"
  • "What's the ingress configuration for the frontend service?"
  • "Show me the HPA settings for the checkout service"

Why it helps: No need to remember exact kubectl syntax or YAML paths.

Understanding Dependencies​

Map service relationships:

  • "What services depend on database-service?"
  • "Show me the topology for the payment processing flow"
  • "What ingress routes to the api-gateway service?"
  • "Which pods are backing the user-service endpoints?"

Why it helps: Visualize dependencies that aren't obvious from individual resource specs.

Correlating Changes​

When integrated with GitHub or GitLab:

  • "What PRs were merged in the last 24 hours?"
  • "Who changed the deployment config for api-gateway recently?"
  • "Show me recent commits that modified Kubernetes manifests"

Why it helps: Quickly identify if a recent change caused an issue.

Querying Metrics​

When integrated with Datadog or Grafana:

  • "What's the error rate for service api-gateway?"
  • "Show me the CPU usage trend for namespace production"
  • "Are there any Datadog monitors in alert state?"

Why it helps: Access metrics without leaving the OpsWorker portal.

Next Steps​