Distributed
Tracing.
Follow every request end-to-end across every service. Waterfall visualizations, automatic span correlation, and AI-powered root-cause analysis — all in one place.
<2ms
Ingestion latency
100%
Error trace capture
30d
Full-fidelity retention
180+
Auto-instrumented frameworks
What is distributed tracing?
Follow a request across every service — automatically.
In a microservices architecture, a single user request can touch dozens of services before returning a response. Distributed tracing records the complete journey of each request — every network hop, database query, and cache lookup — as a structured set of spans connected by a shared trace ID.
With obseria.io, traces are captured via OpenTelemetry — the vendor-neutral standard — so you're never locked in. Auto-instrumentation covers 180+ frameworks, meaning you get full-stack visibility from the first deploy, with zero code changes required.
frontend-web
GET /checkout
api-gateway
route /api/checkout
auth-service
ValidateToken
product-catalog
GetProduct
postgresql
SELECT products
redis-cache
GET cache:sku:4821
recommendations
GetRecommendations
checkout-svc
CreateOrder
payment-gateway
AuthorizePayment
event-bus
Publish order.created
product-catalog · GetProduct
span.id: s4_productcatalog
Start
30ms
Duration
145ms
Self time
43ms
Child spans
4
Real-time metrics
Latency, throughput, and errors — in one view.
Percentile breakdowns update in real time. Spot regressions before customers do.
Latency Percentiles
product-catalog · last 60 min
Distribution
all services · 1h
p50
48ms
p95
138ms
p99
312ms
Throughput & Errors
all services · last 24 hours
How it works
From zero to full-stack visibility in three steps.
obseria.io uses the OpenTelemetry standard — no proprietary agents, no vendor lock-in.
01
Instrument your services
Add the obseria.io OpenTelemetry SDK — or plug in your existing OTel setup. Auto-instrumentation covers Express, Django, Spring, Rails, Go net/http, and 180+ more. Zero code changes for most frameworks.
02
Traces stream in instantly
Spans arrive with sub-2ms ingestion latency. obseria.io automatically correlates traces with your logs and metrics — so you always see the full picture in one click, not three separate dashboards.
03
Find root cause in seconds
The AI engine flags anomalous spans, compares them against your deployment history, and surfaces the most likely root cause. Mean time to resolution drops from 45 minutes to under 3.
Service Map
Your entire architecture — live and in context.
obseria.io automatically builds a real-time dependency graph directly from your trace data — no manual configuration required. Every edge represents an active call path, updated continuously as your system evolves.
When an incident occurs, the affected path lights up instantly. You can drill into any node to see its latency percentiles, error rate, and throughput — without leaving the map view.
- Auto-generated from live traces
- Highlights error paths in real time
- Per-node p50/p95/p99 overlays
- Filters by environment, cluster, or namespace
Capabilities
Everything your on-call team needs.
Built for the way modern engineering teams actually work.
Automatic Instrumentation
Zero-code auto-instrumentation for 180+ frameworks. Ship traces in minutes, not days.
Full-text Span Search
Search across billions of spans by any attribute — user ID, order ID, custom tags — in milliseconds.
Tail-based Sampling
Capture 100% of error and slow traces. Drop the noise. Configurable rules, no SDK changes.
Dynamic Sampling
Adjust sampling rates in real time without redeploying. Budget-aware auto-throttling included.
AI Root-Cause Analysis
Our AI engine correlates anomalous spans, metric spikes, and recent deploys into a single incident timeline.
30-day Retention
Default 30-day full-fidelity trace retention. Long-term archival to S3-compatible storage available.
FAQ
Common questions about distributed tracing.
How does obseria.io differ from Jaeger or Zipkin?
Jaeger and Zipkin are open-source storage backends — you operate them yourself and get raw data. obseria.io adds automatic correlation of traces with logs and metrics, AI-powered root-cause analysis, tail-based sampling, and a managed SaaS backend, so your team focuses on incidents, not infrastructure.
Do I need to modify my application code?
For most frameworks, no. obseria.io's auto-instrumentation agents attach at the runtime level. Manual instrumentation via the OpenTelemetry SDK is available when you want custom spans or business-specific attributes.
What is tail-based sampling?
Instead of deciding upfront whether to keep a trace (head-based), tail-based sampling inspects the full trace after completion. This lets you always keep 100% of error traces and slow outliers while dropping routine, healthy traffic — dramatically reducing storage costs.
How long are traces stored?
Traces are stored for 30 days by default at full fidelity. Long-term archival to S3-compatible storage is available on Enterprise plans, and you can configure per-service retention policies without any data format conversion.
Is obseria.io OpenTelemetry-native?
Yes. obseria.io ingests standard OTLP (OpenTelemetry Protocol) over gRPC and HTTP. There is no proprietary agent — if you already emit OTLP today, you can point your collector at obseria.io's endpoint and see traces within minutes.
How does pricing work for tracing?
You pay per million span events ingested — currently $0.60/M spans. There are no per-seat fees, no base platform charge, and no charge for data you don't send. Budget caps prevent surprise bills.
Customer stories
Trusted by engineering teams at scale.
What on-call engineers say after switching to obseria.io.
“obseria.io cut our mean time to resolution from 45 minutes to under 3. The correlated trace and log view is unlike anything else on the market — we find the guilty span in one click.”
Sarah Chen
VP Engineering · Fluxion Labs
“We evaluated Datadog, Honeycomb, and Grafana Tempo. obseria.io was the only one that didn't force us to choose between cost and cardinality. The tail-based sampling alone saves us $40k/month.”
Marcus Webb
Staff SRE · Orbit Systems
“The service map automatically shows us the blast radius of every incident. We went from war-room chaos to a calm Slack thread. Our on-call rotation is half the size it used to be.”
Priya Kapoor
CTO · NovaBridge
Trusted by 3,400+ engineering teams
Fluxion LabsOrbit SystemsNovaBridgeAscend HealthMeridian CloudStackfireEnterprise
Need a custom deployment or volume pricing?
For large-scale engineering organisations, we offer dedicated infrastructure, custom data residency, HIPAA BAA, SAML/SCIM provisioning, and a private Slack channel with your Customer Success Manager.
- Volume discounts from 5 TB/month
- Custom retention up to 13 months
- Dedicated CSM + 24/7 phone SLA
- On-premise or private cloud option
- SOC 2 Type II + HIPAA BAA available
- SSO / SAML / SCIM provisioning
Get in touch
Typically respond within 1 business hour.
Start tracing in minutes.
Connect your first service with the OpenTelemetry SDK. Auto-instrumentation ships traces immediately — no code changes for most frameworks.