Learn By Doing: Automated Remediation With Python for AIOps

This project-based course is designed to equip DevOps engineers and IT professionals with the practical skills needed to build self-healing infrastructure and implement modern ChatOps workflows. Moving beyond theory, you will use Python, the Docker SDK, Prometheus, and Alertmanager to construct a full, event-driven automation pipeline. You'll master receiving monitoring alerts via webhooks, implementing robust automated remediation (AIOps) to restart failed containers, and integrating real-time status checks and notifications into Slack for collaborative incident response. The course is ideal for those looking to transform their operations from manual toil to scalable, event-driven automation.

Course Highlights:

1. Python for Automation & API Interaction

• Focus: Establish a strong foundation in using Python for core DevOps automation tasks.
• Key Topics: Mastering the use of the requests library to interact with REST APIs (like GitHub's) and the subprocess module to execute and manage system commands like docker ps.
• Outcome: Ability to programmatically interact with external services and parse complex data structures (JSON) for use in automation scripts.

2. Event-Driven Alert Webhook Receivers

• Focus: Learn to build resilient Python web services that act as automation triggers for monitoring alerts.
• Key Topics: Setting up a Flask application to define a webhook endpoint /webhook), configuring it to receive HTTP POST requests from Alertmanager, and efficiently parsing the incoming JSON alert payloads.
• Outcome: Ability to establish the critical connection between your monitoring system and your automation code, starting the event-driven workflow.

3. Automated Remediation (AIOps) & Self-Healing

• Focus: Implement production-grade logic for self-healing infrastructure.
• Key Topics: Using the Docker SDK for Python to programmatically manage containers (e.g., restarting a failed container), applying the IF-THEN pattern for remediation, and ensuring operational safety through idempotency and robust error handling try/except).
• Outcome: Ability to build a core AIOps mechanism that automatically detects and resolves common infrastructure failures without human intervention.

4. ChatOps for Incident Response and Visibility

• Focus: Integrate automation and monitoring visibility directly into a team's collaboration platform (Slack).
• Key Topics: Building a dual-architecture bot using Slack Bolt to handle manual queries (slash commands like /check-status which query Prometheus) and receive automatic Alertmanager notifications via the webhook endpoint.
• Outcome: Ability to deploy a full ChatOps solution that improves team collaboration, auditability, and speed of incident response.