---
title: "AIOps"
description: "2 posts about AIOps, summarised, each linking to the original."
---

# AIOps
> 2 posts about AIOps, summarised, each linking to the original.

## Articles

### [What is AIOps?](https://yomu.fyi/post/what-is-aiops.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Databricks Staff
- Published: Sep 17, 2026
- Type: Explainer

AIOps applies AI and machine learning to IT operations to analyze logs, metrics, traces, events, alerts, and related system data. It detects anomalies, correlates events, uses topology and dependencies to identify likely root causes, and supports guided or automated responses. The guide positions AIOps between observability and action, reducing noise and adding context without replacing observability, DevOps, or human judgment. Its workflow includes data ingestion, normalization, anomaly detection, event correlation, root-cause analysis, automation and orchestration, and collaboration workflows, with human-in-the-loop review recommended for higher-risk production changes. It contrasts domain-centric and domain-agnostic approaches and recommends evaluating coverage, depth, integrations, setup effort, and organizational fit before expanding automation.


### [From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform](https://yomu.fyi/post/from-incident-to-remediation-building-an-ai-driven-aiops-workflow-with.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Neha Chugh
- Published: Sep 5, 2026
- Type: Tutorial

This tutorial builds an AIOps workflow for diagnosing and remediating a deliberately induced CPU incident in a product catalog application running on an AWS EC2 instance with RHEL. An Ansible investigation playbook collects CPU utilization, top processes, application status, and HTTP health evidence, which Claude Code analyzes through MCP to identify the Python process as the likely contributor and recommend the approved “AIOps - Remediate High CPU” Job Template. AI does not access the host directly: Ansible Automation Platform retains responsibility for credentials, inventory, execution, and remediation. The remediation changes the application from HTTP 503 and degraded to HTTP 200 and healthy, while a final health check confirms recovery and completes the detect-investigate-analyze-recommend-execute-verify sequence.