Open-source observability at 140× lower storage cost
OpenObserve is a Rust-native, open-source observability platform unifying logs, metrics, and traces in a single system — delivering Elasticsearch-compatible APIs at a fraction of the storage cost and operational complexity.
Realtime observability path
Observability without the Elasticsearch tax
OpenObserve (O2) is a full-stack observability platform built from scratch in Rust. It ingests logs, metrics, and traces into a single system with a unified query interface — replacing the fragmented Elasticsearch + Prometheus + Jaeger trifecta that most teams run today.
The storage efficiency numbers are the headline, but the engineering story runs deeper. O2 uses columnar storage and aggressive compression to achieve 140× lower storage cost than Elasticsearch while maintaining sub-second query response times across petabyte-scale datasets.
As an Apache-licensed open-source project with a thriving community, OpenObserve gives teams a zero-lock-in path to enterprise observability — self-hosted, cloud-hosted, or hybrid — with the same API surface they already know.
Columnar, compressed, Rust-native
OpenObserve's storage layer uses Parquet-format columnar files with aggressive compression. Telemetry that consumed terabytes in Elasticsearch fits in gigabytes — with no data loss and faster scan performance.
Logs, metrics, traces — one platform
A single ingest pipeline handles all three telemetry types. No stitching together separate tools, no cross-system correlation pain. Query logs and pull related traces in the same UI.
Elasticsearch API drop-in
OpenObserve speaks the Elasticsearch query DSL, so existing log shippers, agents, and dashboards work without modification. Migration is operational, not a rewrite.
Why LaserData + OpenObserve
Full observability over the streaming layer — and the agentic workloads running on top of it — without the operational cost of Elasticsearch at scale.
LaserData Streams as the Telemetry Source
LaserData emits structured telemetry events — throughput counters, consumer lag, partition health — directly into OpenObserve. Operators get live dashboards over the streaming layer without a separate collection pipeline.
Tail Latency Visibility
Both LaserData and OpenObserve are obsessed with p99 and p99.9. OpenObserve's high-resolution metrics backend gives LaserData operators the per-percentile latency histograms they need to catch tail issues before they reach SLA breaches.
Rust End to End
OpenObserve is written entirely in Rust. LaserData's streaming core is written in Rust. The shared runtime model means zero GC-pause interference in the telemetry path — metrics arrive and are queryable in milliseconds, not seconds.
Unified Observability for Agentic Pipelines
AI agent pipelines produce complex, high-volume trace data. OpenObserve's distributed tracing captures every agent decision and tool call while LaserData's streaming layer feeds the underlying event flow — giving platform teams complete visibility across the stack.
Streaming infrastructure, fully observed
LaserData emits structured telemetry into OpenObserve in real time — giving operators live visibility into latency, throughput, and consumer health at p99.9 resolution.
Observe everything
Talk to us about instrumenting LaserData with OpenObserve for full-stack visibility over your streaming and agentic infrastructure.