Crash diagnostics reports for managed databases

The specific moment that surfaces this problem: a managed database restarts unexpectedly, the engineer checks the logs, and finds nothing useful — no stack trace, no OOM indicator, no slow query that preceded the crash. The complaint is stated almost verbatim across multiple products: 'occasional crashes without diagnostics, empty logs are annoying and useless.' The engineer then spends an hour piecing together context from memory, CloudWatch metrics, and application-side error logs, most of which don't tell them anything about what the database itself was doing.

This gap persists because managed database vendors are structurally prevented from exposing the full internals — things like binlog state, internal buffer pool activity, or OS-level signals — without undermining the abstraction that makes the managed service worth paying for. One user specifically called out that 'some of the internals are a little bit invisible, which makes it tricky with things such as binlogs.' The vendor can't fully expose what they've deliberately abstracted away, so the diagnostic gap is structural, not just a product backlog item.

What's missing is a layer that correlates whatever surface-level signals ARE available — slow query logs, connection count metrics, CPU and memory telemetry, replication lag — and constructs a coherent timeline of what was happening in the 10 minutes before a crash or anomaly. Right now, engineers do this manually by tabbing between a metrics dashboard and a log console that don't share a timeline axis and don't highlight correlated events.

This is a recurring business need because every managed database team deals with unexpected restarts, connection spikes, or performance regressions they can't explain. Each incident costs engineering time. A tool that produces a readable 'what happened before the crash' report — even using only the signals the managed service exposes — saves 1-3 hours per incident and builds organizational memory across incidents.

What to build

Build a service that continuously collects available telemetry from managed PostgreSQL instances (slow query logs, connection metrics, CPU/memory, replication lag) and automatically generates a correlated incident timeline whenever an unexpected restart or connection spike is detected, delivered as a shareable report with the 10 minutes of context before the event.

Where to start

Target teams that have already experienced a mysterious crash and are actively looking for a post-mortem tool — they're already sold on the need, they just need something that works on managed infrastructure rather than requiring server-level access.

The hard part

The most valuable signals — binlog internals, buffer pool state — are genuinely inaccessible on managed services, so you have to prove the product is useful using only the surface signals, which means your first incident report has to be noticeably better than what engineers can produce manually from the same data.

How it makes money

Per-database monthly fee around $49/database/month, justified against the cost of a single unexplained incident; free 14-day trial with full incident reports to let the first real crash close the sale.