Service Ops is about keeping services healthy end to end, from the user's request to the database query behind it. This guide explains what service operations covers.
Service Ops (Service Operations) is the practice of keeping application services healthy and performant end to end: observing logs, traces, metrics and APM across services, mapping dependencies, and resolving service-level incidents before they reach users.
A single user request often crosses many services, queues and databases. Service Ops stitches that journey together with distributed tracing, correlates logs across services, and maps dependencies, so when something is slow or failing, you can see where in the chain the problem actually is, not just that a symptom appeared.
Beyond visibility, Service Ops tracks service health, latency and error rates, and query performance, catching degradation before it becomes an outage. It is the discipline that keeps the services users actually touch fast and reliable.
Seeing a service problem is only half the job. Autonomous Service Ops takes the correlated, root-caused incident and resolves it, restarting, rerouting or applying a fix, under governance, rather than paging an engineer for a known failure pattern.
Ops Singularity's Service Ops pillar provides end-to-end service observability, distributed tracing and dependency topology, and resolves service incidents through Sentinel AI and governed Action Tickets. Explore the Service Ops pillar.
Observability provides the data, logs, metrics and traces, to understand service behaviour. Service Ops is the operational practice that uses that data to keep services healthy and, in its autonomous form, to resolve service incidents.
APM (Application Performance Monitoring) is a key part of Service Ops, focused on application performance. Service Ops is broader, covering service health, dependencies, logs and resolution across the whole service estate.
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