Most DevOps tools show you data. Fewer tell you what to do next.
I recorded a full demo of DevOps Open Agent, an open-source platform for AI-powered DevOps troubleshooting.
Watch the demo:
Here’s how it works in practice:
1️⃣ One platform, four agents
✅ Kubernetes Debugging Agent — clusters, pods, networking, topology
✅ AWS DevOps Agent — EC2, Lambda, S3, VPC, CloudWatch, and more
✅ Cloud Cost Detector — unused and underutilized AWS resources
✅ PR Reviewer — DevOps-focused AI review for GitHub pull requests
2️⃣ Shared AI analysis
Pick your LLM — Anthropic, OpenAI, or Ollama — and get structured output: root cause, evidence, suggested fixes, and confidence scores.
3️⃣ Slack delivery
AI recommendations can go straight to your team’s Slack channel — no copy-paste from a dashboard.
4️⃣ Self-hostable & open source
Run it on your infra. Your data stays yours.
If you’re an SRE, platform engineer, or DevOps lead tired of jumping between 6 tools during an incident, this demo is for you.
🔗 Repo: https://github.com/ideaweaver-ai/devops-open-agent
📝 Also, if you’re interested in learning GenAI for DevOps, I have upcoming batches starting in July
Would love your feedback in the comments.
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