{"id":726,"date":"2026-02-07T04:25:25","date_gmt":"2026-02-07T04:25:25","guid":{"rendered":"https:\/\/aiopsschool.com\/blog\/?p=726"},"modified":"2026-02-07T04:25:26","modified_gmt":"2026-02-07T04:25:26","slug":"what-is-aiops","status":"publish","type":"post","link":"https:\/\/aiopsschool.com\/blog\/what-is-aiops\/","title":{"rendered":"What is AIOps?"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What is AIOps?<\/h2>\n\n\n\n<p><strong>AIOps (Artificial Intelligence for IT Operations)<\/strong> means using <strong>big data + machine learning<\/strong> to <strong>automate IT operations processes<\/strong>\u2014especially <strong>event correlation, anomaly detection, and causality (root-cause) determination<\/strong>. ()<\/p>\n\n\n\n<p>In plain words:<\/p>\n\n\n\n<p><strong>Observability gives you signals. AIOps turns those signals into fewer, smarter incidents + faster decisions + (sometimes) automated fixes.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How AIOps is different from DevOps<\/h2>\n\n\n\n<p><strong>DevOps<\/strong> is a culture + practice that improves <strong>delivery speed and reliability<\/strong> via CI\/CD, automation, collaboration.<\/p>\n\n\n\n<p><strong>AIOps<\/strong> is focused on <strong>operating production systems at scale<\/strong>, using AI to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>reduce alert noise<\/li>\n\n\n\n<li>correlate symptoms into incidents<\/li>\n\n\n\n<li>speed up triage\/RCA<\/li>\n\n\n\n<li>automate safe remediation<\/li>\n<\/ul>\n\n\n\n<p>So:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>DevOps = build &amp; ship better<\/strong><\/li>\n\n\n\n<li><strong>AIOps = detect, understand, and respond better (using AI)<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How AIOps is different from SRE<\/h2>\n\n\n\n<p><strong>SRE<\/strong> is an engineering approach to reliability: <strong>SLOs, error budgets, incident management, capacity planning, toil reduction<\/strong>.<\/p>\n\n\n\n<p><strong>AIOps<\/strong> is a set of techniques\/tools that <strong>helps SREs do those things faster<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>identifies anomalies sooner<\/li>\n\n\n\n<li>groups alerts into meaningful incidents<\/li>\n\n\n\n<li>assists RCA (often using topology\/causal reasoning) ()<\/li>\n<\/ul>\n\n\n\n<p>So:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>SRE = the reliability operating model<\/strong><\/li>\n\n\n\n<li><strong>AIOps = a capability layer that accelerates SRE outcomes<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How AIOps is different from DevSecOps<\/h2>\n\n\n\n<p><strong>DevSecOps<\/strong> integrates security into the software lifecycle (shift-left security, scanning, policies, supply chain).<\/p>\n\n\n\n<p><strong>AIOps<\/strong> targets <strong>operations<\/strong>: incidents, performance, availability, noise reduction, remediation.<\/p>\n\n\n\n<p>They can connect:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AIOps can detect security-relevant anomalies (odd traffic, auth spikes)<\/li>\n\n\n\n<li>DevSecOps provides secure runbooks\/automation to remediate safely<\/li>\n<\/ul>\n\n\n\n<p>But the core goals differ:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>DevSecOps = secure delivery<\/strong><\/li>\n\n\n\n<li><strong>AIOps = intelligent operations<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How AIOps is different from Observability<\/h2>\n\n\n\n<p><strong>Observability<\/strong> = collecting and exploring telemetry (<strong>logs, metrics, traces<\/strong>) so humans can understand systems. OpenTelemetry describes it as a framework\/toolkit to generate\/export\/collect telemetry (traces\/metrics\/logs). ()<\/p>\n\n\n\n<p><strong>AIOps<\/strong> = automated intelligence on top of that telemetry:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>noise reduction<\/strong> (dedupe, grouping) ()<\/li>\n\n\n\n<li><strong>anomaly detection<\/strong> (adaptive baselines, seasonality)<\/li>\n\n\n\n<li><strong>correlation<\/strong> across many sources into fewer \u201cepisodes\/incidents\u201d ()<\/li>\n\n\n\n<li><strong>RCA assist<\/strong> (causal\/topology-based) ()<\/li>\n\n\n\n<li><strong>automated troubleshooting\/investigation<\/strong> ()<\/li>\n<\/ul>\n\n\n\n<p><strong>Key reality:<\/strong> Many modern \u201cobservability platforms\u201d already include AIOps features (they\u2019re converging), but conceptually:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Observability = visibility<\/strong><\/li>\n\n\n\n<li><strong>AIOps = intelligence + automation using that visibility<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How AIOps is different from MLOps<\/h2>\n\n\n\n<p><strong>MLOps<\/strong> = practices\/tools to <strong>build, deploy, monitor, and govern ML models<\/strong> in production.<\/p>\n\n\n\n<p><strong>AIOps<\/strong> = using ML\/AI to <strong>operate IT systems<\/strong> (reduce noise, correlate incidents, assist RCA, automate remediation). ()<\/p>\n\n\n\n<p>Connection:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AIOps often contains ML models \u2192 those models themselves benefit from MLOps discipline (versioning, evaluation, rollout).<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Benefits (simple, org-level outcomes)<\/h2>\n\n\n\n<p>AIOps benefits usually show up as:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Less alert fatigue<\/strong> \u2192 fewer interruptions, better on-call life (noise reduction &amp; grouping). ()<\/li>\n\n\n\n<li><strong>Faster detection<\/strong> \u2192 issues spotted earlier (anomaly detection). ()<\/li>\n\n\n\n<li><strong>Faster triage &amp; RCA<\/strong> \u2192 \u201cwhere to look first\u201d (RCA assistance). ()<\/li>\n\n\n\n<li><strong>Lower MTTR<\/strong> \u2192 quicker restore, less downtime (automated preliminary investigations). ()<\/li>\n\n\n\n<li><strong>More consistent incident response<\/strong> \u2192 automation + runbooks<\/li>\n\n\n\n<li><strong>Operational scalability<\/strong> \u2192 same team can run more services without drowning in noise<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Phases of AIOps<\/h2>\n\n\n\n<p>A practical AIOps lifecycle has these phases:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Observe (Collect)<\/strong><\/li>\n\n\n\n<li><strong>Ingest &amp; Normalize<\/strong><\/li>\n\n\n\n<li><strong>Enrich with Context<\/strong> (service ownership, topology, changes)<\/li>\n\n\n\n<li><strong>Detect<\/strong> (anomalies, outliers, early warnings)<\/li>\n\n\n\n<li><strong>Correlate &amp; Prioritize<\/strong> (turn storms into incidents\/episodes) <\/li>\n\n\n\n<li><strong>Diagnose (RCA Assist)<\/strong> ()<\/li>\n\n\n\n<li><strong>Respond &amp; Automate<\/strong> (routing + runbooks + remediation)<\/li>\n\n\n\n<li><strong>Learn &amp; Improve<\/strong> (feedback loop, tuning, governance)<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Flow of AIOps (end-to-end)<\/h2>\n\n\n\n<p><strong>Telemetry + Events<\/strong><br>\u2192 <strong>Ingestion<\/strong><br>\u2192 <strong>Normalization<\/strong><br>\u2192 <strong>Enrichment (topology + changes)<\/strong><br>\u2192 <strong>Noise reduction<\/strong><br>\u2192 <strong>Anomaly detection<\/strong><br>\u2192 <strong>Correlation into incidents\/episodes<\/strong><br>\u2192 <strong>RCA hints \/ investigation<\/strong><br>\u2192 <strong>Route to correct team<\/strong><br>\u2192 <strong>Runbook automation (safe steps)<\/strong><br>\u2192 <strong>Post-incident learning<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Best tools by AIOps phase (common options)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1) Observe \/ Collect (Telemetry)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>OpenTelemetry<\/strong> (vendor-neutral instrumentation &amp; collection) ()<\/li>\n\n\n\n<li>(Plus your chosen metrics\/logs\/traces stack: Prometheus\/Grafana, Elastic, Datadog, Dynatrace, New Relic, etc.)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2) Ingest &amp; Normalize (bring signals into one place)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ServiceNow ITOM AIOps Event Management<\/strong> (ingest alerts from third-party tools, map to CIs\/services) ()<\/li>\n\n\n\n<li><strong>Splunk ITSI Event Analytics<\/strong> (ingest from multiple data sources and process via correlation searches) ()<\/li>\n\n\n\n<li><strong>PagerDuty AIOps<\/strong> (event ingestion + processing) ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3) Enrich (Topology \/ CMDB \/ Service mapping)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dynatrace causal\/topology model used for RCA<\/strong> ()<\/li>\n\n\n\n<li><strong>ServiceNow Discovery\/CMDB + mapping alerts to configuration items<\/strong> ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4) Noise reduction (dedupe, grouping, suppression)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>PagerDuty AIOps \/ Event Intelligence \/ Noise Reduction<\/strong> ()<\/li>\n\n\n\n<li><strong>Splunk ITSI (event storms \u2192 correlation searches \u2192 notable events\/episodes)<\/strong> ()<\/li>\n\n\n\n<li>(Some observability suites also do this natively)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">5) Detect (Anomaly detection)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Elastic ML anomaly detection + alerting rules<\/strong> ()<\/li>\n\n\n\n<li><strong>New Relic Applied Intelligence<\/strong> (anomaly + correlation features) ()<\/li>\n\n\n\n<li><strong>Datadog Watchdog<\/strong> (RCA + anomaly-related intelligence) ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">6) Correlate &amp; Prioritize (create \u201cone incident\u201d)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Splunk ITSI correlation searches \/ Episode Review workflow<\/strong> ()<\/li>\n\n\n\n<li><strong>PagerDuty Event Intelligence (grouping + context)<\/strong> ()<\/li>\n\n\n\n<li><strong>ServiceNow ITOM AIOps<\/strong> (consolidated view of service-impact events) ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">7) Diagnose (RCA assist \/ automated investigation)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dynatrace causal AI root cause analysis<\/strong> ()<\/li>\n\n\n\n<li><strong>Datadog Watchdog RCA<\/strong> ()<\/li>\n\n\n\n<li><strong>Azure Monitor Issues &amp; Investigations (AIOps troubleshooting automation)<\/strong> ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">8) Respond &amp; Automate<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>PagerDuty AIOps<\/strong> (incident response acceleration + event processing automation) ()<\/li>\n\n\n\n<li><strong>ServiceNow workflows<\/strong> (ITSM\/ITOM processes) ()<\/li>\n\n\n\n<li>Cloud-specific: <strong>AWS DevOps Guru<\/strong> (ML signals + recommendations, noise reduction) ()<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Step-by-step implementation (no code, just steps + tools)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Step 1 \u2014 Set the objective (don\u2019t start with \u201cAI\u201d)<\/h3>\n\n\n\n<p>Pick 1\u20132 measurable goals:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cReduce paging noise by 50%\u201d<\/li>\n\n\n\n<li>\u201cCut MTTR by 20%\u201d<\/li>\n\n\n\n<li>\u201cAuto-group 100 alerts into 1 incident\u201d<br>Tools: your incident platform (PagerDuty\/ServiceNow), SLO reporting.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 2 \u2014 Standardize telemetry<\/h3>\n\n\n\n<p>Make services emit consistent logs\/metrics\/traces and tags (service, env, version, region).<br>Tools: <strong>OpenTelemetry<\/strong> ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3 \u2014 Centralize event ingestion<\/h3>\n\n\n\n<p>Decide where alerts\/events land first (the \u201chub\u201d):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>PagerDuty AIOps, ServiceNow ITOM, Splunk ITSI (choose one as the event hub).<br>Tools: <strong>PagerDuty AIOps<\/strong> () \/ <strong>ServiceNow ITOM AIOps<\/strong> () \/ <strong>Splunk ITSI<\/strong> ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 4 \u2014 Normalize fields and enrich with ownership<\/h3>\n\n\n\n<p>Ensure every event knows:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>service name, team owner, severity, environment<br>Tools: Service catalog\/CMDB mapping (ServiceNow) ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 5 \u2014 Build a topology\/service map (critical for good correlation)<\/h3>\n\n\n\n<p>Without dependency context, correlation becomes guesswork.<br>Tools: Dynatrace-style causal topology, ServiceNow CMDB\/discovery ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 6 \u2014 Turn on noise reduction before \u201csmart RCA\u201d<\/h3>\n\n\n\n<p>Start with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>dedupe<\/li>\n\n\n\n<li>grouping<\/li>\n\n\n\n<li>suppression of flapping<br>Tools: PagerDuty Noise Reduction \/ Event Intelligence ()<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Step 7 \u2014 Add anomaly detection on \u201cgolden signals\u201d<\/h3>\n\n\n\n<p>Start with latency, errors, throughput, saturation.<br>Tools: Elastic ML anomaly detection, New Relic Applied Intelligence ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 8 \u2014 Add correlation into incidents\/episodes<\/h3>\n\n\n\n<p>Goal: one incident record with the related events.<br>Tools: Splunk ITSI correlation searches; ServiceNow Event Mgmt correlation ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 9 \u2014 Add \u201cchange intelligence\u201d<\/h3>\n\n\n\n<p>Ingest deploy\/config\/feature-flag events to align \u201cwhat changed\u201d with \u201cwhat broke\u201d.<br>Tools: your CI\/CD + observability suite change tracking (varies by platform).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 10 \u2014 Enable RCA assist \/ automated investigation<\/h3>\n\n\n\n<p>Start with \u201crecommend where to look first,\u201d not \u201cauto-fix everything.\u201d<br>Tools: Dynatrace causal RCA, Datadog Watchdog RCA, Azure investigations ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 11 \u2014 Automate safe runbooks (human-in-the-loop)<\/h3>\n\n\n\n<p>Automate low-risk, reversible actions first (restart, scale, cache clear <em>only if safe<\/em>).<br>Tools: ServiceNow workflows; PagerDuty automation hooks ()<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 12 \u2014 Close the loop (learning)<\/h3>\n\n\n\n<p>After every incident, feed back:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>which alerts were useless<\/li>\n\n\n\n<li>which correlations were wrong<\/li>\n\n\n\n<li>what should auto-route or auto-suppress next time<br>Tools: the AIOps platform tuning + incident postmortems.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">AIOps terminology (common words you\u2019ll hear)<\/h2>\n\n\n\n<p><strong>Core objects<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Signal<\/strong>: any datapoint\/event from telemetry<\/li>\n\n\n\n<li><strong>Event<\/strong>: a detected condition (CPU high, error spike)<\/li>\n\n\n\n<li><strong>Alert<\/strong>: notification created from a rule or detection<\/li>\n\n\n\n<li><strong>Incident<\/strong>: an operational disruption needing response<\/li>\n\n\n\n<li><strong>Episode<\/strong>: a grouped set of related events\/alerts (Splunk ITSI concept) ()<\/li>\n<\/ul>\n\n\n\n<p><strong>Noise control<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Deduplication<\/strong>: collapse duplicates<\/li>\n\n\n\n<li><strong>Suppression<\/strong>: stop known noisy signals<\/li>\n\n\n\n<li><strong>Grouping\/Clustering<\/strong>: merge many alerts into one incident ()<\/li>\n\n\n\n<li><strong>Flapping<\/strong>: alert rapidly toggles on\/off<\/li>\n<\/ul>\n\n\n\n<p><strong>Intelligence<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Baseline<\/strong>: normal behavior range<\/li>\n\n\n\n<li><strong>Seasonality<\/strong>: daily\/weekly patterns<\/li>\n\n\n\n<li><strong>Anomaly<\/strong>: deviation from baseline<\/li>\n\n\n\n<li><strong>Correlation<\/strong>: linking related events across sources ()<\/li>\n\n\n\n<li><strong>Causality \/ Root cause<\/strong>: \u201cthe thing that triggered the cascade\u201d ()<\/li>\n\n\n\n<li><strong>Topology<\/strong>: dependency\/service graph used for causality ()<\/li>\n<\/ul>\n\n\n\n<p><strong>Ops outcomes<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>MTTD<\/strong>: mean time to detect<\/li>\n\n\n\n<li><strong>MTTR<\/strong>: mean time to recover<\/li>\n\n\n\n<li><strong>Alert fatigue<\/strong>: too many alerts \u2192 ignored alerts<\/li>\n\n\n\n<li><strong>Toil<\/strong>: repetitive operational work<\/li>\n<\/ul>\n\n\n\n<p><strong>Automation<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Runbook<\/strong>: documented operational procedure<\/li>\n\n\n\n<li><strong>Auto-remediation<\/strong>: automated corrective action<\/li>\n\n\n\n<li><strong>Human-in-the-loop<\/strong>: AI suggests; human approves<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Final clarity (so you don\u2019t feel \u201cAIOps is just observability\u201d)<\/h2>\n\n\n\n<p>AIOps is <strong>not a replacement<\/strong> for observability.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>If observability answers <strong>\u201cwhat\u2019s happening?\u201d<\/strong><\/li>\n\n\n\n<li>AIOps focuses on <strong>\u201cso what, why, and what should we do next?\u201d<\/strong>\u2014at scale. ()<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>What is AIOps? 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