Traces, logs, and metrics — without the runaway bill.
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.
Traces, logs, and metrics — correlated, on open standards.
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.
Traces
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.
Logs
High-cardinality logs correlated to the traces and services that produced them — searchable without paying premium rates to keep them.
Metrics
Metrics from across your stack with 600+ integrations out of the box — infrastructure, databases, queues, and cloud services, all OpenTelemetry-compatible.
900+ services traced — and root cause found far faster.
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.
Two teams that moved off a premium incumbent.
From real engagements. Company names withheld.
Off a premium SaaS incumbent, onto Observe
- Full feature equivalence — integrations, capture, dashboards
- Sharply lower data-storage cost with S3 as primary store
- Fast queries on high-volume data via pre-aggregates
Off a premium SaaS incumbent, onto Observe
- Equivalent integrations and dashboards on migration
- Lower retention cost with object-storage-first architecture
- Benchmark-based, real-time auto-alerting beyond static thresholds
Object storage underneath. Pre-aggregates on top.
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.
S3 as primary storage
Object storage as the system of record means retention cost scales with volume at a fraction of hot-tier pricing.
Pre-aggregated queries
Common queries hit pre-computed aggregates, not raw scans — so dashboards and investigations stay fast at scale.
Benchmark-based alerting
Real-time comparison against learned baselines catches anomalies static thresholds miss, and cuts alert noise.
Bring your current observability bill.
We'll show you equivalent traces, logs, and metrics on open standards — for a fraction of what you pay now.
Book a demo