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# eng-incidents
Datadog
Datadog 2:38 AM 🔴
Alert: checkout-service p99 latency > 10s
checkout-service p99 latency spiked from 380ms to 12.4s at 02:38 UTC.
Nadia K.
Nadia K. 2:41 AM
@CodeRabbit pull the Datadog traces for checkout-service and figure out where the bottleneck is.
CodeRabbit
CodeRabbit 2:41 AM
Pulled APM traces since 02:15 UTC. Every slow trace is stuck on the same downstream call, POST /api/inventory/reserve to inventory-service.

Checked GCP Cloud Run logs for inventory-service. Instance count dropped from 8 to 1 at 02:35 UTC. Autoscaler shows a config change pushed at 02:34 UTC that set maxInstances to 1. That came from PR #3301 merged earlier tonight. It was supposed to update env vars but accidentally included a Terraform change to the scaling config.
Marcus J.
Marcus J. 2:43 AM
Just saw the page. Nadia, you need a hand?
Nadia K.
Nadia K. 2:43 AM
CodeRabbit already found it. Accidental scaling change in #3301. @CodeRabbit open a revert for just the scaling config, don't touch the env var update.
CodeRabbit
CodeRabbit 2:44 AM
Done. PR #3315 opened: fix: revert inventory-service maxInstances to 12

Isolated just the scaling revert. The env var update from #3301 is untouched. Once merged, Cloud Run will scale back up within ~90 seconds.
Marcus J.
Marcus J. 2:45 AM
Merging. Nadia, watch the dashboard.
Nadia K.
Nadia K. 2:47 AM
Latency dropping. Back under 500ms. We're good.
Marcus J.
Marcus J. 2:48 AM
@CodeRabbit draft a postmortem and file it. SEV-2.
CodeRabbit
CodeRabbit 2:48 AM
Done. ENG-4120 created in Linear: "SEV-2 Postmortem: inventory-service scaling regression" with timeline, root cause, and remediation. Linked to PR #3301 and PR #3315.
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#engineering-standup Daily · 9:25 AM
CodeRabbit
CodeRabbit9:25 AM

Yesterday's merges

  • · auth-service: JWT refresh · Ahmad
  • · dashboard: chart performance · Maya
  • · payments: retry logic · Carlos

Blocked tickets

  • · JIRA-1234 — missing design approval
  • · JIRA-1456 — waiting on infra team

Overnight Sentry

  • · 2 new issues · payment timeout +12%

Today's deploys

  • · 14:00 UTC — api-gateway v2.4.1

Scheduled

#dev Every hour · PRs idle >24h
CodeRabbit
CodeRabbit10:00 AM

Found 2 stale PRs in need of attention

#84726h+1423 comments

Add rate limiting to public API

@sarah@mike
Awaiting security review
#85131h+897 comments

Migrate legacy auth endpoints

@chen@alex
Test failures on CI

On signal

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CodeRabbit Agent for Slack is built for agentic SDLC workflows. It pulls your org’s operating context together from across every tool and team conversation - code, tickets, docs, monitoring, cloud - and reasons over it to move work forward in the channel or thread where it’s already happening. It investigates, plans, opens PRs, captures team knowledge, and keeps everyone aligned as work evolves.

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Agentic SDLC is a software delivery practice where AI agents participate meaningfully across the complete software development lifecycle - planning, requirement analysis, design, coding, testing, deployment, and maintenance. Instead of your team bouncing between point tools, the CodeRabbit Agent works alongside you, carrying context across phases, taking action on your behalf, capturing what the team learns, and staying accountable for its actions.

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Sign in with Slack to establish the workspace identity. Then connect GitHub by linking your Slack workspace to the GitHub org. Install the CodeRabbit GitHub App to grant repository access. Optionally, you can edit the base scope - the default repositories, connections, and spend baseline for the workspace. Finally, start using CodeRabbit Agent for Slack, just mention @coderabbit in any channel or DM.

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CodeRabbit Agent for Slack connects with all the SDLC tools, such as Jira, Linear, Notion, Asana, Intercom, Zendesk, AWS, Datadog, CircleCI, PostHog, Sentry, PagerDuty, Figma, Canva, Google Drive, Gong, Pylon, OneDrive, and HubSpot. You can also plug in your own through MCP servers and APIs.

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Agent minutes are the amount of active CodeRabbit runtime spent completing a task. The runtime measures elapsed sandbox time, from command start to run finish, and bills for minutes used.

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Governance is integrated through scopes, which define everything the agent can do in a given context: accessible repositories, usable connections, user groups and users authorized to invoke it, and applicable spend limits. Every workspace starts with a default base scope, and additional scopes can be created that inherit from it and impose narrower restrictions.

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The knowledge base stores durable facts that it learned by working with your team. Knowledge respects Slack’s privacy boundaries, so public channels and shared surfaces use the global workspace knowledge base, private channels use a private conversation knowledge base, while DMs and group DMs use a private conversation knowledge base.

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