Observability 3.0 brings AI-native, unified infrastructure, application, and LLM observability together in a single platform.
Move from reactive firefighting to proactive, autonomous operations. 140× lower storage costs. Zero database management.




Legacy observability solutions were designed for static infrastructure. They cannot manage the telemetry volume of modern AI workloads, forcing customers onto data diets that kill the context needed for root-cause analysis.
Separate platforms for LLM observability, incident triage, and front-end monitoring, each with its own instrumentation, UI, and ops overhead.
Incidents are discovered by users before engineers, because legacy tools alerting only triggers when something is broken.
High-volume LLM telemetry forces costs to scale exponentially. This often drives organizations toward aggressive sampling that compromises data fidelity.
OpenObserve replaces your entire observability stack with a single platform handling logs, metrics, traces, real user monitoring, and LLM telemetry in one interface. No separate databases, no data diets, no stitching tools together.
Each capability is powerful on its own. Together they create a self-healing, autonomous observability loop.
Early warning signals before an incident occurs. Proactive alerts in your existing workflow so your team can respond, not react.

An autonomous layer that analyzes telemetry context, identifies root cause, and recommends or takes corrective action automatically.\n\n

Extend OpenObserve's telemetry pipeline to cover prompt monitoring, eval tracking, and generative AI performance.

Your roadmap for implementing and scaling modern observability.
Move from reactive incident response to autonomous operations with Observability 3.0.
Free to start. No credit card required.