You know that sinking feeling when a service alert fires and no one can tell who owns it, what changed, or where the logs went. That’s the chaos Elastic Observability and OpsLevel try to fix when you make them talk to each other. Together, they turn scattered monitoring data into an organized, permission-aware system catalog your team can trust.
Elastic Observability gathers telemetry from everywhere. It watches over your logs, traces, and metrics, turning them into timelines and dashboards that make sense to humans. OpsLevel, on the other hand, knows your services and who runs them. It links owners, deploys, and standards to each piece of software in your stack. When you integrate them, observability data gains identity context. You stop chasing phantom errors and start debugging with the right team at the right time.
Connecting Elastic Observability with OpsLevel starts with service metadata. Each OpsLevel service defines an owner, runtime, and component tags. Elastic agents use that metadata to enrich logs and traces. The result is correlation by design. When a performance spike hits, Elastic can show the owning team and dependencies in one view. Metrics stop floating in isolation; they become part of a living service map.
For authentication, use your existing identity stack, such as Okta or AWS IAM, through OIDC. It secures API access and automates RBAC between both systems. This keeps observability data locked down while allowing developers to query traces from the specific services they manage. Fewer screenshot requests, fewer Slack threads about “who owns this.”
A short reality check: integrations fail when metadata drifts. Keep your OpsLevel entries current. Automate service ownership updates via CI or Git triggers. Rotate credentials on a schedule, and if you must trust a token, trust it briefly.