Solutions · Engineering
Stop paging the same three people at 2am.
Capture service ownership, incident patterns, and architecture decisions before they evaporate. Cut on-call resolution time and onboard engineers without the six-month tax.
What we capture
The knowledge Engineering keeps in heads and Slack threads.
Service ownership and runbooks
Who owns what, who escalates where, and which procedures actually work when the page fires.
Postmortem patterns
The repeated root causes, the hardening that did or didn't ship, and the open follow-ups that never got revisited.
Architecture decisions
Why we chose this database, why we deprecated that service, why this contract exists between teams.
What gets answered
Real questions, with cited answers.
Q. Who else has shipped a migration off Aurora to Postgres on RDS?
Three engineers in your scope have led a similar migration. Two left detailed retros — the most recent flagged an undocumented dependency on a read replica.
Q. Has this alert paged us before, and what did we do?
Yes — three times in the last 90 days. The pattern was traced to a deploy-time race condition. SOP rev 4 added a guarded rollout step but it has not been merged.
Q. What's the rollback procedure for the payments service?
Cited from runbook v12, last verified 8 days ago by Priya. Step 3 has a known caveat about idempotency keys flagged in incident 0421.
“Our average on-call resolution time dropped 38% in a quarter. Junior engineers can read the answer instead of waking up a senior.”
MT
Marcus Tan
Director of Platform, Northwind
Integrations for Engineering
Reads from where your team already works.
GitHub
Linear
Jira
PagerDuty
Datadog
Slack
Confluence
Notion
Bring memory to Engineering.
Pilot with a single team in under a week. White-glove onboarding included on Business and Enterprise plans.