AIOps: anomaly detection, correlation & RCA
We cut alert noise, shorten time-to-detect (MTTD) and accelerate incident resolution (MTTR). Data-driven ops with OpenTelemetry, SLOs & error budgets, plus runbook automation.
Detect and fix faster
E2E escalation funnels and automated actions reduce response time.
Fewer false positives
Correlation, de-duplication and SLO thresholds tame the noise.
Root-cause focus
Dependency graph + traces streamline investigations.
Open standards
OpenTelemetry, Prometheus, Grafana, Tempo/Jaeger.
What you get
From instrumentation to operations: anomaly detection, event correlation and RCA with clear SLOs. Practical, explainable methods and quick wins.
Anomaly detection
Baselines, adaptive thresholds and seasonality. Start with explainable methods (percentiles, time windows), then add ML where it truly helps.
Correlation & de-duplication
Join events by context (service, region, release, tenant) and time. Less noise, better priorities. Rules are versioned and auditable.
RCA & dependency graph
Unify logs, metrics and traces. Cause tree, timelines and links to changes (deploys, feature flags) speed up retrospectives.
SLOs & error budgets
Define SLIs and targets. Budgets inform release risk, while dashboards show real user impact.
Runbooks & automation
Remediation actions, context enrichers and on-call integrations (Slack/Teams, PagerDuty/Opsgenie). Every action has guardrails and rollback.
OpenTelemetry & integrations
Standardize signals: traces, metrics, logs. Integrations with OpenTelemetry, Prometheus, Grafana, Jaeger.
Implementation plan (7–14 day pilot)
Clear scope, measurable outcome and artifacts ready to scale. Iterative delivery with transparent trade-offs.
Discovery
Signal & goal map: SLIs/SLOs, data sources, risks, service priorities. Decide what matters and why.
Instrumentation
OpenTelemetry, tagging standard, sampling. Trace/metric/log contracts with cost and retention control.
Detection & correlation
Anomaly models, correlation rules, de-dup and context enrichers. Alerts land in the right queue.
RCA & operations
Dependency graph, runbooks, post-incident reviews and threshold tuning. Lessons feed the backlog.
Measuring success & ROI
We track impact from day one: alert volume drop (by source), faster incident resolution, fewer on-call escalations and more stable releases. Reports align outcomes to SLOs, while error budgets guide priorities.
Solid reference: SRE Book — Implementing SLOs.
See also: Monitoring AIOps/SRE · API Integrations
Standards & reading
OpenTelemetry
Specs and examples: opentelemetry.io/docs
Prometheus & Grafana
Metrics, alerting and dashboards: prometheus.io/docs, grafana.com/docs
Tracing & RCA
Hands-on tracing: jaegertracing.io/docs
FAQ — quick answers
Where should we start in an existing environment?
Does this replace SIEM/monitoring?
How do you choose thresholds and anomaly models?
On-prem or cloud?
How long is the pilot and what do we get?
Want less noise and faster RCA?
Free 20-minute consultation — we’ll review your signals, SLIs/SLOs and outline a pilot plan.