Ansible Solution Guides: AIOps Partner Walkthroughs for Splunk, ServiceNow, Instana, and EDB

Red Hat has launched Ansible Solution Guides — detailed, partner-focused walkthroughs for implementing AIOps and automation use cases. Available at ansible-tmm.github.io/solution-guides and via .

Available Solution Guides

AIOps Automation with Ansible (Foundational)

Self-healing infrastructure using Event-Driven Ansible, Red Hat AI inference, and Ansible Lightspeed to detect, diagnose, and remediate incidents automatically.

Key capabilities: • Automatic incident detection • AI-driven diagnosis • Automated remediation playbooks • Lightspeed-generated fixes

High-Availability AAP with EDB PostgreSQL DR

Multi-datacenter Active-Passive disaster recovery for AAP using EDB Postgres Advanced Server and EDB Failover Manager.

Highlights: • Sub-5-minute RTO • Multi-datacenter failover • EDB Failover Manager integration • Production-ready configuration

Automated Incident Remediation with IBM Instana

Closed-loop incident remediation integrating IBM Instana observability with Event-Driven Ansible.

Flow: Instana detects anomaly EDA receives event AI-driven job template routing Self-healing execution Verification and close

AI Infrastructure Automation with Ansible

Provision and configure Red Hat AI infrastructure — from GPU instances to serving models — using the infra.ai and redhat.ai collections.

Covers: • GPU instance provisioning • Model serving setup • Red Hat AI collection usage

Intelligent Assistant with Red Hat AI Inference Server

Deploy a self-hosted LLM using Red Hat AI Inference Server on RHEL with GPU acceleration to power the Ansible Lightspeed intelligent assistant.

Components: • Red Hat AI Inference Server on RHEL • GPU acceleration configuration • Lightspeed intelligent assistant integration

AIOps with ServiceNow LEAP and Ansible MCP Server

Cut incident MTTR from hours to minutes: LEAP identifies remediation opportunities Ansible MCP server surfaces approved playbooks Governed execution closes incidents with full audit trail

AIOps with Splunk and Event-Driven Ansible

Three closed-loop AIOps use cases: ITSI predictive anomaly detection with MLTK RHEL server remediation with AI-enriched diagnostics Network OSPF remediation with Lightspeed-generated playbooks

See also: Ansible AI-Driven Automation Architecture: 4 Entry Points for GenAI, API, EDA, and MCP

Key Features

• ✅ Detailed walkthroughs — step-by-step implementation guides • ✅ Partner-focused with AIOps — built with technology partners • ✅ RAG-enabled (coming soon) — retrieval-augmented generation for contextual help

FAQ

Where can I find the solution guides?

Visit or use the shortlink .

Are these production-ready guides?

Yes. The solution guides provide production-ready configurations and architectures tested with partner technology.

Do I need partner products to use them?

The foundational AIOps guide works standalone. Other guides require the partner product (Splunk, ServiceNow, IBM Instana, EDB) for full implementation.

Will more guides be added?

Yes. Legacy guides from access.redhat.com are being migrated to the new format, and new guides are in development.

See also: What's New in Event-Driven Ansible: AAP 2.6 and 2.7 Features

Related Articles

• What's New in Event-Driven Ansible • Red Hat Ansible Automation Platform 2.7: What's New • Ansible AI-Driven Automation Architecture • New Ansible Content Collections 2026