Self-Healing IT with LogicMonitor, IBM, and Red Hat
LogicMonitor, IBM, and Red Hat are bridging the gap between observability and automation so issues are found and fixed. You’ll get fewer outages, faster resolution, and more time for innovation.

LogicMonitor, IBM, and Red Hat are bridging the gap between observability and automation so issues are found and fixed. You’ll get fewer outages, faster resolution, and more time for innovation.
LogicMonitor, IBM, and Red Hat deliver
self-healing infrastructure that resolves incidents before they disrupt business.
Close the loop from detection to resolution with AI-driven diagnosis, code generation, and automated execution across your entire estate.
Predict issues with context-aware insights and resolve them automatically, keeping critical systems online and users unaffected.
Eliminate repetitive incident response so your teams can focus on innovation, strategy, and growth.
Deploy consistent remediation across hybrid and multi-cloud environments without deep coding or manual oversight.
Each resolution enriches the system’s knowledge base, strengthening your infrastructure with every incident.
Gain full visibility into autonomous actions with audit trails and governance guardrails built in.
Everything you need to detect, remediate, and prevent with
AI-driven automation
Edwin AI diagnoses root causes in context, watsonx generates precise remediation playbooks, and Ansible executes them at scale.
See issues in context to reduce noise and speed diagnosis.
Search for existing automation paths to resolve the issue.
Create one when no existing playbook fits the issue.
Apply the chosen playbook at scale and monitor results.
AI AGENT FOR SELF-HEALING IT
Edwin AI applies agentic AIOps to manage the full incident lifecycle—correlating alerts, finding root causes, and fixing issues automatically. The result is fewer escalations, faster resolution, and more time for innovation.
67%
ITSM incident reduction
88%
noise reduction
BY THE NUMBERS
What teams unlock with
self-healing IT operations
GET ANSWERS
Get the answers to the top Azure monitoring questions.
The partnership combines LogicMonitor’s Edwin AI, IBM watsonx Code Assistant, and Red Hat Ansible Automation Platform to deliver agentic AIOps. This creates self-healing IT operations that automatically detect, diagnose, and resolve incidents across hybrid and multi-cloud environments.
Unlike traditional AIOps that stops at monitoring and recommendations, agentic AIOps automates the full incident lifecycle. Edwin AI identifies root causes, IBM watsonx generates remediation playbooks, and Red Hat Ansible executes them at scale—enabling automated incident response and faster resolution times.
This integration addresses the IT operations execution gap by reducing alert noise, accelerating root cause analysis, and delivering automated remediation. IT teams benefit from fewer escalations, reduced downtime, and more capacity to focus on innovation.
Early adopters report measurable results, including 85% faster incident resolution, 70% less alert noise, 40% fewer after-hours incidents, and 93% fewer escalations. These outcomes show how self-healing IT infrastructure powered by agentic AIOps improves resilience and operational efficiency.
Yes. The solution leverages Red Hat Ansible’s enterprise-grade automation with audit trails and governance guardrails. This ensures that all automated remediation actions are transparent, controlled, and scalable across complex hybrid IT environments.
Edwin AI, IBM watsonx, and Red Hat Ansible close the loop from detection to resolution, so your systems fix themselves and your teams stay focused on growth.