Can AI Replace Your On-Call Engineer? (The Honest Answer)
AI can reduce on-call toil, summarize incidents, and automate routine runbooks, but production ownership still needs human judgment and accountability.
Read article arrow_forward
Blog
Operational notes for teams keeping services online.
Articles from MarionetteOps about uptime monitoring, server operations, incident response, and status page communication.
AI-Powered Anomaly Detection vs. Threshold Alerts
Threshold alerts catch known limits. AI anomaly detection finds unusual behavior. Strong monitoring strategies use both for reliable production coverage.
Read article arrow_forwardAutomating Incident Triage with AI: A Practical Guide
AI incident triage can group alerts, summarize impact, identify likely causes, recommend runbooks, and speed up escalation without removing human judgment.
Read article arrow_forwardWhat Is an AI Operations Agent and How Does It Work?
An AI operations agent helps monitor production systems, collect context, triage incidents, suggest actions, and automate routine reliability workflows.
Read article arrow_forwardPredictive Monitoring: Catching Failures Before They Happen
Predictive monitoring uses trends, anomaly detection, and service context to warn teams before outages, saturation, and customer-impacting failures.
Read article arrow_forwardHow AI Is Changing Site Reliability Engineering
AI is changing SRE by improving incident triage, anomaly detection, runbook automation, alert context, and proactive reliability workflows.
Read article arrow_forward