Your inference logs shouldn't cost more than your GPU bill
OpenObserve gives teams petabyte-scale observability at a fraction of the cost. OpenTelemetry-native, built in Rust, and up and running in minutes.
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Why AI-native teams choose OpenObserve
Purpose-built for the scale and economical for modern AI infrastructure\n
Inference logging at scale
Token counts, latencies, error rates across millions of model calls. 140x lower storage than Elasticsearch means you can keep it all.
Sub-second queries on petabytes
Built in Rust with Apache Parquet and DataFusion. Debug production model issues in real-time, not hours.
OpenTelemetry native
Already instrumented? Point your OTel collector at OpenObserve. No proprietary agents, no vendor lock-in.
Bring your own bucket
S3, GCS, Azure Blob, MinIO—store data in your existing infrastructure. Your data, your cloud, your control.
Unified logs, metrics, traces
Training pipelines, inference services, GPU metrics all in one place. Correlate across your entire stack.\n\n
SOC2 Type II & ISO 27001
Enterprise-grade security and compliance. Run self-hosted for complete data sovereignty.
Super fast, definitely very lightweight, and you can get started with an initial POC in two to three minutes to be honest.
Built on modern foundations
Rust
Apache Parquet OpenTelemetry
DataFusion
S3 CompatibleReady to cut your observability costs?
Get started free or talk to our team about your AI infrastructure needs.