Open source

From 10,000 logs
to one incident.

log0 fingerprints, clusters, and summarizes your errors, then routes ownership straight to Slack. Incident clarity for microservice teams.

incidents-prod ▾
LogsTracesSessions
By count ▾7 Apr – Now216,440 total traces■ 8,304 error
ingest.parse.logLineabandoned64%
cluster.fingerprintactive91%
ai.summary.generateactive88%
notify.dispatch.slackretried73%
The Problem

Running microservices is easier than ever. Catching what breaks isn't.

A single bug fires the same error 10,000 times before anyone notices - and your dashboards drown in duplicates.

When an alert finally lands, nobody owns it. Logs sit in one tool, traces in another, the fix in a third - and the context is scattered across all of them.

So every on-call starts from zero. Your mean time to detect climbs, and your mean time to resolve climbs with it.

🔔 Alert fatigue
⤬ Scattered context
ERRORpayment-service
NullPointerException · OrderMapper.map()
ERRORpayment-service
NullPointerException · OrderMapper.map()
ERRORpayment-service
NullPointerException · OrderMapper.map()
ERRORpayment-service
NullPointerException · OrderMapper.map()
ERRORpayment-service
NullPointerException · OrderMapper.map()
× 10,247 occurrences
?Unassigned · no owner
Solution

log0 collapses thousands of duplicate errors into one actionable incident.

Fingerprint & cluster

Deterministic SHA-256 fingerprinting normalizes every log and collapses identical errors. A 5-minute clustering window fires an incident the moment your threshold is crossed - in real time, per tenant.

ClusteringBy fingerprintWindowErrors
fp a3f9c1…5-min window ▾× 10,247
threshold ≥ 10
▲ incident fired

Every span, captured

OpenTelemetry-ready: a traceId rides on every normalized log. Jump from an incident straight to the span that broke - no stitching logs across services by hand.

trace tr_8a31f · payment-service6 spans · 2.33s
ingestion.receive
12ms
normalize.fingerprint
4ms
cluster.window.check
8ms
incident.upsert
22ms
ai.summary.generate
2.1s
notify.slack.post
180ms

From raw log to owned incident,
in under 30 seconds.

01

Fingerprinting

A deterministic SHA-256 fingerprint normalizes every log - IPs, UUIDs, and numbers stripped to placeholders. Same bug, different values, one incident.

Fingerprints 6Templates 6Errors 8
🔍 filter fingerprints…
Connection timeout after <number>ms
fp a3f9c1 · payment-service
HIGH×10,247
NullPointerException · OrderMapper.map()
fp 7b2e08 · payment-service
HIGH×3,114
Rate limit exceeded for <uuid>
fp c91d4a · auth-service
MED×842
Kafka consumer lag <number>
fp 5fa330 · clustering-svc
MED×219
Deserialization failed: <field>
fp e0b7c2 · normalization
LOW×64
02

Incident lifecycle

Every incident moves through a strict state machine - NEW, ASSIGNED, ACKNOWLEDGED, RESOLVED - with a full audit trail of who changed what, when.

Open 6Resolved 3
LIFECYCLE
NEW2
ASSIGNED1
ACKNOWLEDGED2
RESOLVED1
ACKNOWLEDGEDNullPointerException · OrderMapper
ashmit assigned · 2m ago
ashmit acknowledged · 1m ago
RESOLVEDConnection timeout · payment-service
priya resolved · 14m ago
03

AI summaries

Each incident lands with an AI summary: what's failing, the likely cause, and suggested next steps - generated async, so detection never waits. AI assists, humans decide.

AI summaryincident #4821 · HIGH
What's failing

payment-service throws NullPointerException in OrderMapper.map() on a null customerId - 10,247 times in 5 min.

Likely cause

checkout-service v2.15.0 began emitting orders without customerId right before the spike.

Suggested next steps

Roll back checkout v2.15.0, add a null-guard in OrderMapper, validate customerId at ingestion.

generated async · AI assists, humans decide
04

Slack-native ownership

Assign an engineer, acknowledge, and resolve without leaving Slack. Interactive Block Kit messages turn an alert into clear accountability in one click.

# incidents
l0
log0APPnow
🚨 HIGH · payment-service
NullPointerException · OrderMapper.map() - 10,247 occurrences in 5m.
Assign engineer ▾View logsAcknowledgeResolve
✓ assigned to @ashmit · acknowledged

Turn log chaos into incident clarity

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