DevOps & SRE Script Tools
A collection of custom, highly interactive code template generators designed to instantly provision, manage, and scale secure cloud infrastructure with SRE safety guardrails.
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💰 FinOps Cloud Cost Optimizer Studio
Simulate and analyze production infrastructure hosting budgets. Drag sliders and toggle SRE architectural tactics to optimize your cloud footprint in real-time.
📚 SRE & DevOps Knowledge Vault
Master SRE interview prep, study real-world cloud diagnostics workflows, and explore the complete repository matrix for all integrated automation studios.
A pod stuck in CrashLoopBackOff is repeatedly failing at runtime. Follow these diagnostic steps to resolve it:
- Describe Pod: Run
kubectl describe pod <pod-name>. Inspect the termination status and exit code. Exit Code 137 indicates it was OOMKilled (Out-of-Memory), while exit code 1 or 255 indicates an application crash. - Check Container Logs: Use
kubectl logs <pod-name> --previousto read the logs from the previous crashed container cycle to locate runtime stacktraces. - Inspect Health Probes: Misconfigured Liveness or Readiness probes can terminate containers if endpoints do not respond in time.
- Validate Configuration: Ensure ConfigMaps, secrets, and environment parameters (like database credentials) are correctly mapped.
# Review past crashed container logs kubectl logs my-app-deployment-abcde-1234 --previous # Check events list in chronological order kubectl get events --sort-by='.metadata.creationTimestamp'
Kubernetes health probes manage the lifecycle of container pods:
- Liveness Probe: Monitors if the container is running. If it fails, Kubernetes kills the container and triggers a restart based on the policy. Used to resolve deadlocks.
- Readiness Probe: Monitors if the container is ready to receive network traffic. If it fails, the pod is removed from Service endpoint routing (no traffic is sent). Used during app bootups.
# Example probe block in Deployment manifest:
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 20
GitOps is a methodology that uses Git repositories as the single source of truth for infrastructure and application configurations. ArgoCD handles deployments through a continuous reconciliation loop:
- Pull Model: ArgoCD runs inside the cluster and polls the target Git repository for changes.
- State Comparison: It compares the desired state in Git with the live state in the cluster.
- Synchronization: If there is state drift, ArgoCD applies the changes from Git to the cluster. If enabled, self-healing will automatically overwrite manual cluster changes with the repo configurations.
🔒 Security & Legal Disclaimer
These configuration models are compiled strictly client-side. No credential parameters, access keys, or network specs are transmitted externally. All generators and scripts are provided 'AS IS' under the terms of the project's Proprietary License, without warranty of any kind. Users must validate generated assets before deploying to staging or production systems.