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 deliver
self-healing infrastructure that resolves incidents before they disrupt business.
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
AI-driven automation
Edwin AI diagnoses root causes in context, watsonx generates precise remediation playbooks, and Ansible executes them at scale.
Identify root causes
See issues in context to reduce noise and speed diagnosis.
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Edwin AI automatically identifies the root cause of alerts.
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This reduces alert noise and provides fast, actionable diagnosis.
Discover playbooks
Search for existing automation paths to resolve the issue.
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Ask Edwin AI, through the IBM watsonx-powered chat interface, to look for available Ansible playbooks.
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Use Edwin’s context and insights to select the most relevant option to remediate the issue.
Generate playbooks
Create one when no existing playbook fits the issue.
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Use Edwin’s chat interface, powered by watsonx, to generate a Red Hat Ansible playbook with help from watsonx Code Assistant.
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Review and test the playbook; if it doesn’t meet requirements, ask Edwin to modify and regenerate it.
Execute fixes at scale
Apply the chosen playbook at scale and monitor results.
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Trigger execution of the playbook through the Red Hat Ansible Automation Platform directly from Edwin’s chat interface.
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Observe the resolution and impact in the Edwin dashboard.
FRONTIER AI AGENTS FOR SELF-HEALING IT
Meet Edwin AI: Self-healing IT operations
Edwin AI applies frontier AI agents 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
“LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs.”
“Edwin AI handles routine issues so my team can focus on strategy. That’s a huge win.”
“AI helps us to move faster.”
“Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service.”
“The single pane of glass across all of our regions enables us to act more proactively.”
“Edwin AI delivered value within an hour of implementation.”
“Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise.”
BY THE NUMBERS
What teams unlock with
self-healing IT operations
self-healing IT operations
GET ANSWERS
FAQs
Get the answers to the top Azure monitoring questions.
What is agentic AIOps and how do LogicMonitor, IBM, and Red Hat deliver it?
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.
How does agentic AIOps improve incident response compared to traditional AIOps?
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.
What IT operations challenges does the LogicMonitor, IBM, and Red Hat integration solve?
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.
What business outcomes can enterprises expect from self-healing IT operations with agentic AIOps?
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.
Is the LogicMonitor, IBM, and Red Hat solution for self-healing IT secure and enterprise-ready?
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.
Modernize your IT operations with self-healing automation
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.
