Know why production changed.

Every deploy changes something. ScryWatch shows you exactly what — errors, patterns, and traces, grouped by root cause and tied to the change that caused them.

First root cause in five minutes. No card required.

Deploy Diff: production behavior before and after a deploy

Production broke. You have a thousand log lines, a vague timestamp, and a guess. Which deploy? Which error? New, or always there? You’re not missing data. You’re missing the connection between it.

THE PRODUCTION GRAPH

One graph. Every signal connected.

ScryWatch fingerprints every event the moment it arrives. That fingerprint becomes the thread that links your logs, error groups, patterns, and deploys — so a question like “what did my 2:14 PM deploy change?” has an answer, not a search session.

DEPLOY

v1.4.2

2:14 PM

NEW PATTERN

provider timeout

started +90s

GROUPED ISSUE

412 events

47 users affected

THE LOGS

one click away

+ session, + trace

one fingerprint a3f9c1e0 links every signal

Issues

Errors and crashes are grouped automatically by root cause — deterministically, not by guesswork. Each issue carries its total occurrences, affected users, an occurrence trend, and a representative event.

One list of real problems, deduplicated by what’s actually happening.

An issue grouped by root cause, with total occurrences and affected users

Deploy Diff

Pick any deploy. See production behavior before and after — new error patterns, what spiked, and the services that shifted.

Cut “is it my deploy?” to one screen.

Patterns

Every log is clustered into a pattern the instant it lands. Spot the one that just appeared.

Find the failure before it becomes an incident.

Traces

Distributed traces over OTLP. Follow one request across services and find the span that failed.

Cross-service failures stop being a mystery.

Connect your AI assistant

Give Claude or Cursor secure, read-only access to the same graph. Your assistant debugs with real production facts instead of guesses.

Explore AI integrations →

1

Send logs

One HTTP call or an SDK. Structured events land in seconds.

2

We connect them

Fingerprinting, grouping, and pattern detection happen automatically at ingest — no rules to write.

3

Ask why

Open a deploy, an issue, or your AI assistant — and trace the change to its cause.

Runs entirely on Cloudflare’s edge. No agents, no collectors, no infrastructure to run.

AI INTEGRATIONS

Your assistant, with production facts.

Connect Claude or Cursor and let it query your production graph read-only. It asks; the deterministic graph answers with real data.

AI is how you ask. The production graph is what makes the answer true.

Connect your assistant →
An AI assistant answering what broke since the last deploy, grounded in real data

Stop guessing which deploy did it.

Free to start. No card required.