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Red Hat published an architectural guide on September 22, 2026, for organizations planning upgrades to Red Hat Ansible Automation Platform 2.7. The company identifies six decisions that can turn the work into anything from a short upgrade to a multi-week migration, particularly for teams still running RPM-based installations of versions 2.4 or 2.5.
Choose a Deployment Model
The first choice is where and how to operate the platform. Red Hat lists self-managed installations on Red Hat Enterprise Linux virtual machines, operator-managed deployments on Red Hat OpenShift or Kubernetes, and managed services on Microsoft Azure or Amazon Web Services. Development and production can use different models because execution environments are intended to keep automation content portable.
Red Hat recommends defining deployments through Infrastructure as Code and deciding how many separate environments deliver enough testing value to justify their maintenance. Options range from a multi-tenant production platform with automation mesh network separation to distributed platforms across multiple networks.
Plan for Failure and Secrets
High availability and disaster recovery requirements should follow the selected deployment model. The guide advises teams to examine single points of failure, failover behavior, upgrade procedures and recovery-time objectives. Depending on the environment, resilience may be implemented at the database layer or through Configuration as Code.
Secrets management must also cover testing and recovery rather than production alone. Ansible Automation Platform 2.7 can use native Ansible encryption or integrate with an external provider such as HashiCorp Vault. Red Hat says the chosen approach should be evaluated alongside high-availability, disaster-recovery and governance requirements.
Define Access and Job Launching
Platform architecture also depends on whether users work directly in Ansible Automation Platform or start workflows through ticketing systems and self-service portals. That decision affects governance, user experience and how broadly automation can be offered inside an organization.
Red Hat describes four job-launch patterns: direct manual execution, ticket-driven or self-service API calls, event-triggered workflows through Event-Driven Ansible, and AI-assisted orchestration. In version 2.7, the MCP server and automation orchestrator allow AI agents to discover, invoke and coordinate automation programmatically. The guide presents these as architectural options, not a requirement to adopt autonomous execution.
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