FILE: materi-29.module

AI for DevOps - AIOps

AI ubah cara DevOps kerja. Predictive monitoring, auto-remediation, AI assistants.

RUNTIME: 28m LEVEL: advanced STATUS: ACTIVE
> AIOPS $ AI for DevOps [OK] Module loaded successfully [INFO] Ready for next stage

1. Era AI di DevOps

AI ubah every aspect operations. Predictive analytics. Auto-remediation. Code generation. Smart monitoring. DevOps engineer yang adopsi early dapat productivity 5x.

2. AIOps Platform

Datadog AI. Splunk AIOps. Dynatrace Davis. Pakai ML untuk: anomaly detection, root cause analysis, alert noise reduction. Process big data observability di skala.

3. AI Code Assistant

GitHub Copilot, Cursor, Claude Code. Generate boilerplate, refactor, debug. DevOps gunakan untuk: Terraform code, Kubernetes manifest, CI/CD pipeline, Bash script. 30-50 persen code di-assist.

4. ChatOps dengan AI

Bot di Slack atau Teams yang bisa: cek status, deploy, run query, analyze logs. Dengan LLM jadi natural language. ZeroQ Bot, deploy bot custom dengan LangChain.

5. Future Trends

AI agent yang autonomously handle insiden. Self-healing infrastructure. Predictive scaling. Code review otomatis. Security threat hunting. SRE 10x dengan AI partner.

Practical Mission

  1. Setup GitHub Copilot di IDE
  2. Coba Cursor untuk DevOps task
  3. Eksperimen dengan Datadog AI features
  4. Build chat bot dengan LangChain
  5. Pelajari MLOps connection

Recap Module