AIOps for Modern IT: Anomaly Detection, Root-Cause, and GenAI Runbooks—What Works in 2025 By CyberDudeBivash • September 21, 2025 (IST)
TL;DR Outcomes, not magic: Good AIOps reduces noisy alerts by 60–90% , cuts MTTR, and automates the boring but critical fixes (cache flush, pod recycle, feature flag rollback). Three pillars that actually work in 2025: Anomaly detection that understands seasonality & SLOs (multi-signal, not single-metric). Root-cause analysis (RCA) driven by topology + change events (deploys, configs, feature flags). GenAI runbooks that generate step-by-step remediation and execute safely via guardrails + human-in-the-loop (HITL). Reference stack: OpenTelemetry → Data Lake/TSDB → Correlation/RCA → GenAI Runbooks → ChatOps & SOAR. Start small: Ship “auto-remediate with rollback” for top 5 failure modes; measure noise compression and toil hours saved weekly. What AIOps means (in practice) in 2025 AIOps isn’t a product—it's a workflow : Ingest everything: metrics, logs, traces, events, tickets, feature flags, deploys, configs, cloud bills. ...