A fully OpenTelemetry-compatible platform for distributed traces, logs, and metrics. The same visibility your team expects — built on open standards, with object storage underneath, so cost scales with you instead of against you.
Built on OpenTelemetry · 600+ metric integrations · drops into your existing pipelines, no re-instrumentation.
Everything speaks OpenTelemetry, so your existing instrumentation, collectors, and pipelines work as-is. No proprietary agents, no lock-in, no re-instrumenting your fleet to switch.
End-to-end distributed traces across every service in a request — so you see exactly where latency and errors originate, and reach root cause in minutes, not hours.
High-cardinality logs correlated to the traces and services that produced them — searchable without paying premium rates to keep them.
Metrics from across your stack with 600+ integrations out of the box — infrastructure, databases, queues, and cloud services, all OpenTelemetry-compatible.
Swiggy runs Observe across 900+ microservices. With full distributed tracing, an incident that once meant teams hunting across dozens of services becomes a single trace that shows exactly where the request broke — turning root-cause analysis from a multi-team hunt into a direct read.
The trace is the story of one request across every service it touched. When something breaks, the responding engineer follows that thread straight to the failing span — no guessing which of 900 services to look at first, no stitching logs together by hand. That's the difference between an hour of cross-team triage and a few minutes to root cause.
From real engagements. Company names withheld.
Premium observability gets expensive because it stores everything in costly hot tiers. Observe uses S3 as the primary store and pre-computes aggregates for the queries you run most — so retention costs drop and dashboards stay fast.
Object storage as the system of record means retention cost scales with volume at a fraction of hot-tier pricing.
Common queries hit pre-computed aggregates, not raw scans — so dashboards and investigations stay fast at scale.
Real-time comparison against learned baselines catches anomalies static thresholds miss, and cuts alert noise.
We'll show you equivalent traces, logs, and metrics on open standards — for a fraction of what you pay now.
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