Overview
We close the detect–decide–act loop: Dynatrace detects problems with causal context and triggers Red Hat Ansible Automation Platform (AAP) to remediate automatically. Each workflow records evidence, enforces approvals/guardrails, and ends when the environment is stabilized. (Based on Dynatrace best practices and platform capabilities.).
Highlights
- Dynatrace ↔ AAP integration (webhooks/API/Workflows) with service context (Smartscape/topology) and Davis AI prioritization
- Runbooks by failure type with KPIs such as MTTA/MTTR and % auto-resolution
- End-to-end observability for AI workloads (applications, pipelines, and inference services)
Details
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