Cut MTTA & MTTR with AIOps + GenAI: A Practical Playbook
5 min read

Cut MTTA & MTTR with AIOps + GenAI: A Practical Playbook

Pair event correlation with GenAI summarization and runbook-as-tools to slash acknowledgment and resolution times while keeping humans in control.

Diligra - Founders

The shift in operations
AIOps adoption is accelerating to handle alert floods and speed remediation, 2025 roadmaps emphasize correlation, summarization, and auto-remediation.


“Self-healing” is moving from aspiration to packaged capability across networks and cloud stacks.

A playbook that works

  1. Unify telemetry → tickets. Normalize alerts from monitoring/observability into one pipeline; autocreate incidents with context bundles (recent deploys, related CIs).
  2. Summarize for humans. GenAI composes crisp incident briefs: timeline, blast radius, suggested resolvers, related incidents/KB—delivered to Slack/Teams and the agent workspace.
  3. Encode runbooks as typed tools. restartService, scaleDeployment, clearCache, rollBackChange—all with guardrails and backout.
  4. Verify before close. SLO/error-budget checks gate resolution codes and prevent premature closures.

What not to do

  • Don’t let an LLM free-text your infra. Use tool schemas and policies.
  • Don’t over-optimize prompts if telemetry/runbooks are noisy fix the data first.

KPI starter pack

  • MTTA (minutes), MTTR (p50/p90), % incidents with AI summaries, auto-remediation proposal acceptance, rollback rate, deflection from KB.

Where Diligra helps
Diligra pairs AIOps workflows with a governed Agent Fabric: ingestion → summarization → policy-gated runbooks → verification, all fully traced so SREs stay in control while toil disappears.