Infrastructure Monitoring & Self-Healing Automation
Build production-grade monitoring agents with self-healing capabilities, Prometheus metrics collection, alerting, and automated incident response.
Lab Overview
🛠 Lab from the Platform Engineering Bootcamp. Used in Weeks 14, 15, 17. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):
- Week 14: Python for Platform Engineering: Part 1 (slug: python-platform-engineering-part-1)
- Week 15: Python for Platform Engineering: Part 2 (slug: python-platform-engineering-part-2)
- Week 17: Monitoring & Observability: Prometheus & Grafana (slug: monitoring-observability-prometheus-grafana)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running TaskFlow project that grows across all 21 weeks of the bootcamp.
Build production-grade monitoring agents with intelligent self-healing capabilities. Learn to implement Prometheus-compatible metrics collection, threshold-based alerting, automated remediation workflows, and comprehensive incident response automation.
What You'll Learn
Build custom infrastructure monitoring agents with Prometheus integration
Implement flexible alert rule engines with threshold and log-based detection
Create comprehensive health check systems for infrastructure and services
Build automated remediation workflows with intelligent fallback strategies
Implement complete incident response automation with tracking and postmortems
Design self-healing systems with circuit breakers and graceful degradation
Monitor and automatically remediate common infrastructure failures
Prerequisites
Week 13 Lab 1: Python Programming for Automation completed
Week 13 Lab 3: Kubernetes Automation with Python completed
Week 14 Lab 1: Building Custom CLI Tools completed
Understanding of Kubernetes pods, deployments, and services
Familiarity with monitoring concepts and Prometheus
Technologies Covered
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