SentrySlack

Your errors deserve better than an email you'll never read.

Route Sentry errors to Slack with smart severity filtering, grouped alerts, and deployment context. Built by AI in one conversation — no webhook plumbing required.

Sentry

TypeError: Cannot read property

payments-api · 14 events · P1

#alerts

P1 Error in payments-api

TypeError: Cannot read property 'id' of undefined

14 events in the last 5 min · First seen: v2.4.1

Sentry sends alerts. Your team ignores them.

You set up Sentry because you wanted visibility into production errors. But the default alerting is either too noisy or too quiet. Email notifications pile up unread. The native Slack integration dumps every issue into one channel with no filtering, no grouping, and no context about which deploy caused it. Your team mutes the channel within a week.

Alert fatigue kills response time

Sentry's native Slack integration sends everything -- every new issue, every regression, every first-event. Your #alerts channel gets 200 messages a day. Your team mutes it, and the real P1 gets buried in noise.

Email is a graveyard for errors

Error notification emails arrive in a folder you check once a week. Critical P1 errors sit next to log-level noise, and by the time you notice, the incident has been running for hours. Email is where error alerts go to die.

No deployment context

An alert fires but you have no idea if it is a new regression from today's deploy or a known issue from three releases ago. Without deployment context in the alert, every notification requires manual triage in the Sentry UI.

Smart alerts. Right channel. Right severity. Right now.

camelAI connects to both Sentry and Slack, then builds an intelligent alert pipeline based on rules you describe in plain English. Filter by severity, project, or event volume. Route critical errors to #incidents and low-priority issues to a daily digest. Every alert includes deployment context so your team knows immediately whether this is a new regression or a known issue. The agent polls the Sentry API on a schedule and posts formatted, actionable messages to Slack — no webhook endpoints to configure, no Sentry alert rule YAML to debug.

Severity filteringChannel routingCron digests

Alert Rules

P1 / Critical#incidentsNew errors with > 10 events/5minActive
P2 / Warning#eng-alertsRegressions on latest releaseActive
Digest#error-digestDaily summary at 9 AMScheduled

What your Slack channel looks like.

incidents
camelAI Sentry Bot10:14 AM

P1 CRITICAL — payments-api

TypeError: Cannot read property 'id' of undefined

Events: 47  ·  Users: 12

First seen: v2.4.1 (deployed 8 min ago)

View in SentryAssign
camelAI Sentry Bot10:22 AM

P2 WARNING — auth-service

ConnectionTimeoutError: Redis connection timed out after 5000ms

Events: 8  ·  Users: 3

First seen: v2.3.9 (3 days ago)

View in SentryAssign
SK
Sarah K.10:15 AM

On it — looks like the deploy broke the cart flow

Three steps. Zero webhook config.

1

Connect Sentry and Slack

Add your Sentry auth token and Slack workspace credentials in camelAI's integrations panel. The agent discovers your Sentry projects, issue streams, and Slack channels automatically.

sentry.io/acmeConnected
acme-workspaceConnected
2

Define your alert rules

Tell the agent exactly what matters in plain English: "Send P1 errors to #incidents immediately. Send P2 errors to #eng-alerts. Post a daily digest of all new issues to #error-digest every morning at 9 AM. Include the release version and number of affected users in every alert."

"Send P1 errors to #incidents immediately. Post a daily digest of all new issues to #error-digest every morning at 9 AM."

3

Deploy and forget

The agent builds your alert pipeline, sets up a cron job that polls the Sentry API on your schedule, formats the results into rich Slack messages, and starts posting. New errors show up in the right channel within seconds of crossing your thresholds.

Live — checking every 60s

Tell camelAI what to watch for. It handles the rest.

Alert #incidents when a new error hits 10 events in 5 minutes

Result: Instant P1 alert with event count and affected user count

Post a daily summary of new and regressed issues to #eng-alerts at 9 AM

Result: Scheduled cron digest with issue counts grouped by Sentry project

Only alert on errors from the payments-api and auth-service projects

Result: Project-scoped filtering, other projects silenced

Group errors by release tag and show which deploy introduced each issue

Result: Deployment-aware Slack messages with release version context

Suppress alerts for issues already marked as 'ignored' in Sentry

Result: Smart deduplication and status-aware filtering

Escalate to #incidents if any error affects more than 50 users in an hour

Result: User-impact-based escalation with automatic channel routing

Built for the teams that own reliability.

DevOps Engineers

You manage the alerting stack. You need errors routed to the right people without drowning the team in noise. Build alert rules in English instead of fighting with Sentry's alert configuration UI.

SREs

You define SLOs and run incident response. You need signal, not noise. Get deployment-aware alerts that tell you exactly which release introduced an error and how many users it affects -- so you can decide to roll back in seconds, not minutes.

Backend Engineers

You write the code that breaks. You want to know the moment your deploy causes a regression -- in the Slack channel you already have open, with enough context to start debugging immediately without opening the Sentry UI first.

Frequently asked questions

Stop ignoring your errors. Start routing them.

Connect Sentry and Slack, describe your alert rules, and deploy in minutes.