Projects

Awesome DevOps AI

Which AI tools are worth a platform team's time?

A curated list of 470+ AI tools, agents, and resources for DevOps, SRE, and platform engineering: coding assistants, infrastructure agents, observability copilots, security automation, and FinOps.

Why it exists

One place for engineering leaders to compare AI tooling before they commit to any of it.

470+ AI tools categorized for production use
Updated monthly with new entrants and shutdowns
Featured by AI Engineer Pack and major newsletters
Companion blog walks through every category

DevOpsAISREPlatform EngineeringCurated ListOpen Source

Self-Healing Infrastructure

What if the 3 a.m. page fixed itself?

Terraform modules that let AWS infrastructure recover on its own. CloudWatch alarms trigger Lambda remediation, and EventBridge drives event-based recovery.

Why it exists

Less incident toil and faster recovery for production workloads.

Auto-restart EC2 instances
ECS auto-scaling
Security group remediation
RDS recovery automation

TerraformAWSLambdaCloudWatchEventBridge

Claude Code DevOps Toolkit

Stop writing the same CLAUDE.md from scratch.

CLAUDE.md templates, DevOps prompts, automation scripts, and project configurations for Claude Code.

Why it exists

A platform team gets one consistent way of working with AI, instead of one per engineer.

CLAUDE.md templates for Terraform, K8s, Python, CI/CD
Curated prompt library
Automation shell scripts
Project config examples

Claude CodeAIDevOpsAutomation

AWS AIOps Monitoring Stack

Fewer alerts, and each one worth reading.

An AWS monitoring stack with CloudWatch, Lambda anomaly detection, Grafana dashboards, and anomaly-scored alerting.

Why it exists

Better operational visibility and less alert fatigue for SRE and platform teams.

AI-powered log analysis
Anomaly scoring engine
Cost anomaly detection
Multi-channel alerting

AIOpsTerraformPythonCloudWatchGrafana

RAG Ops Knowledge Base

Ask your runbooks a question in plain English.

A DevOps knowledge base built on FastAPI, AWS Bedrock, and OpenSearch Serverless, with the Terraform to deploy it.

Why it exists

Shorter troubleshooting, because runbooks and cloud context become searchable.

Natural language ops queries
Runbook ingestion pipeline
Vector search with OpenSearch
AWS Bedrock LLM integration

RAGFastAPIBedrockOpenSearchPython

Kubernetes GitOps Blueprint

Every environment deployed the same way, from Git.

A production-ready Kubernetes GitOps setup: ArgoCD, Helm charts, Kustomize overlays, and Prometheus/Grafana monitoring.

Why it exists

Consistent, auditable releases across multi-environment Kubernetes platforms.

App-of-apps pattern
Multi-environment overlays
Prometheus + Grafana stack
GitHub Actions CI/CD

KubernetesArgoCDHelmKustomizeGitOps

DevOps Interview Handbook

DevOps interview prep that goes past trivia.

Categorized Q&A, hands-on scenarios, architecture exercises, and study roadmaps.

Why it exists

Engineers upskill faster and walk into technical interviews prepared.

100+ interview questions
Hands-on debugging scenarios
Architecture design exercises
30/60/90-day study roadmap

Interview PrepAWSTerraformKubernetesDevOps

Awesome DevOps AI

Self-Healing Infrastructure

Claude Code DevOps Toolkit

AWS AIOps Monitoring Stack

RAG Ops Knowledge Base

Kubernetes GitOps Blueprint

DevOps Interview Handbook

It's all on GitHub.

Projects

Awesome DevOps AI

Self-Healing Infrastructure

Claude Code DevOps Toolkit

AWS AIOps Monitoring Stack

RAG Ops Knowledge Base

Kubernetes GitOps Blueprint

DevOps Interview Handbook

It's all on GitHub.