## Summary
- Adds a `beforeSend` rule in `apps/webapp/sentry.server.ts` that
collapses Prisma `P1001` ("Can't reach database server") errors into a
single Sentry issue regardless of which call site threw, by setting
`event.fingerprint = ["prisma-p1001-db-unreachable"]` and tagging
`db_unreachable:true`.
- Matches both `err.code === "P1001"` (Prisma's `KnownRequestError` when
a connection drops mid-query) and `err.errorCode === "P1001"`
(`InitializationError` when the client fails to connect at startup).
- Implemented as a small extensible `FINGERPRINT_RULES` table so further
fan-out errors can be added with one entry.
## Verification
End-to-end verified locally with `debug: true` on the SDK:
- Real Prisma `P1001` thrown from a loader (DB stopped mid-request) is
captured by Sentry's Remix auto-instrumentation
- `beforeSend` fires with `originalException.code === "P1001"`, rule
matches
- `event.fingerprint = ["prisma-p1001-db-unreachable"]` and
`tags.db_unreachable = "true"` applied
- Event lands in Sentry under the new fingerprint
## Test plan
- [ ] Deploy to staging; confirm P1001 events appear under a single
`prisma-p1001-db-unreachable` issue rather than fanning out
- [ ] Confirm `db_unreachable:true` tag is filterable in Sentry
- [ ] Verify non-P1001 errors are unaffected (event passes through
`beforeSend` untouched)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Stamps the active OpenTelemetry `trace_id` and `span_id` onto every
Sentry event captured from the webapp, so engineers can copy a
`trace_id` from a Sentry issue and search for the corresponding trace in
any OTel-aware backend. Also adds an `otel_sampled` tag to indicate
whether the trace was head-sampled — a cheap signal for whether the link
will resolve to span data or hit a missing trace.
## Why
Sentry and OTel were OTel-disconnected: `apps/webapp/sentry.server.ts`
initialised Sentry with `skipOpenTelemetrySetup: true`, and no
error-capture site (`logger.server.ts`, the Remix-wrapped `handleError`,
the root `ErrorBoundary`) attached OTel context to the event. With many
spans/sec across services, getting from a Sentry issue to its trace was
guesswork.
## Approach
Single global Sentry event processor, registered immediately after
`Sentry.init`. On each event it reads
`trace.getActiveSpan()?.spanContext()` via `@opentelemetry/api`, then
writes:
- `event.contexts.trace.trace_id` and `event.contexts.trace.span_id`
(Sentry's native trace context fields)
- `event.tags.otel_sampled` = `"true"` | `"false"` (derived from
`traceFlags`)
If no active span (module-load errors, scheduled timers without a
context, primary cluster process), the processor returns the event
unmodified — Sentry's default propagation context fills in.
Implementation is co-located in `apps/webapp/sentry.server.ts` (no
separate helper module — `sentry.server.ts` is built standalone by
esbuild and a separate import would have required a new bundling step).
Helper functions are exported so the unit tests can reach them without
re-running `Sentry.init`.
## Non-goals (deliberate)
- No sample rate change. ~95% of Sentry events will carry a `trace_id`
that returns no spans in the tracing backend (head-sampled out). The
`otel_sampled` tag makes that obvious at a glance. Raising find-rate is
a separate conversation with cost trade-offs.
- No user/org tags or `Sentry.setUser` (would need auth-helper +
per-request scope wiring across multiple worker entrypoints — separate
ticket).
- Webapp image only. No changes to supervisor or CLI workers.
## Test plan
- [x] Unit tests in `apps/webapp/test/sentryTraceContext.server.test.ts`
— 9 tests covering: helper returns \`undefined\` with no active span;
returns \`traceId\`/\`spanId\`/\`sampled=true\` for a recording span;
returns \`sampled=false\` for a non-recording span; processor leaves the
event unchanged with no active span; processor stamps
\`trace_id\`/\`span_id\` onto \`contexts.trace\`; preserves existing
\`contexts.trace\` fields; tags \`otel_sampled\` correctly for both
sampled and non-sampled cases; never throws if \`@opentelemetry/api\`
access throws.
- [x] \`pnpm run typecheck --filter webapp\` passes.
- [x] Manually verified end-to-end against a sandboxed Sentry project:
confirmed both sampled and non-sampled traces correctly populate
\`contexts.trace.trace_id\` matching the OTel ids logged from the
loader, and the \`otel_sampled\` tag appears with the expected value.
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
Several boundary catches and customer-input validation paths were
logging at `error` level for failures the system already handles
gracefully — disconnect on auth failure, return undefined, skip retries,
etc. This batch routes them to `warn` (which stays in stdout) or counts
them as OTel metrics, so visibility is preserved without surfacing them
as alerts.
## Changes
**New helper / pattern:**
- `apiBuilder.server.ts` — `logBoundaryError(message, error, url)`
inspects the inner error type at loader/action boundary catches;
downgrades to `warn` for `AbortError`, `ServiceValidationError`, and
`EngineServiceValidationError`.
- `platform.v3.server.ts` — `platform_client.failures_total` OTel
counter with `{function, kind}` labels; helper
`recordPlatformFailure(fn, kind)` replaces the previous error-level
logging across all `BillingClient` wrappers.
**Log-level downgrades:**
- `handleSocketIo.server.ts` — `Worker authentication failed` → warn
(system disconnects on failure; refs TRI-8863)
- `waitpointSystem.ts` — when `runStatus === "CANCELED"` in the
suspended-without-checkpoint branch, skip the throw and warn instead
(benign cancel-vs-resume race, nothing to resume)
- `runAttemptSystem.ts` — `flushedMetadata` parse/validate failures →
warn (customer-side data shape, system returns gracefully)
- `batch-queue/index.ts` — final-attempt failures with
`result.skipRetries` → warn (callbacks already opted out of retry, e.g.
queue size limit hit)
- `queryPerformanceMonitor.server.ts` — slow queries → warn
(observability signal, not an application error)
- `timeoutDeployment.server.ts` — deployment-state mismatch in the
timeout job → warn (timeout-vs-completion race)
**Inner error preservation:**
- `waitpointCompletionPacket.server.ts` — `logger.error(uploadError)`
before throwing the `ServiceValidationError` wrapper, so the underlying
upload error stays visible.
## Why
The pattern across all of these is the same: a boundary log treated any
thrown/returned error as `error` regardless of cause, even when the
cause was an expected, system-handled condition (client disconnect,
customer quota, race condition, schema validation of customer data).
That made the logs noisy and made it harder to spot real bugs.
Where the underlying signal is still useful operationally (slow queries,
billing call failures), we route it to OTel metrics with low-cardinality
labels so dashboards and alerts can be tuned independently of error
logs.
## Test plan
- [ ] `pnpm run typecheck --filter webapp`
- [ ] `pnpm run build --filter @internal/run-engine`
- [ ] Trigger a run on hello-world and verify task lifecycle is
unaffected
- [ ] Cancel a suspended run and verify the cancel-while-suspended
branch in `waitpointSystem.ts` returns `{status: "skipped"}` instead of
throwing
- [ ] Confirm `platform_client.failures_total` counter shows up in
metrics with `{function, kind}` labels when the billing client errors
* fix: sentry memory leak by disabling includeLocalVariables
* Enhance heap snapshot consistency and labeling
To facilitate more accurate and consistent heap memory snapshots, a new function forceConsistentGC was added before taking a snapshot. This ensures the garbage collector (GC) runs multiple times, stabilizing the heap state for more reliable analysis. This is particularly helpful when debugging memory-related issues.
Updates to the memory-leak-detector script now allow labeling of snapshot runs using the --label flag. This helps in distinguishing different runs for easier tracking and comparison of memory usage across test sessions. Additionally, the --expose-gc flag ensures that the GC can be manually triggered during test runs, leading to more consistent memory states and potentially uncovering hidden memory leaks.
* Refactor forceConsistentGC for improved readability
The function forceConsistentGC was refactored to enhance code readability and consistency. The main improvements include:
- Updated syntax for consistent string quotation and spacing.
- Simplified garbage collection by removing specific major/minor GC calls, as the distinction isn't necessary.
- Implemented minor changes to arrow function formatting for consistency.
These changes neither impact the program logic nor the function behavior but help maintain code quality standards and readability.
* Fix memory leak by removing request.clone() usage
Identified that the memory leak in the project was linked to the usage of request.clone() within the `@sentry/remix` package's callRouteAction handler. Although initially suspected as a Sentry issue, the problem appears to arise from the handling of request.clone() in Remix version 2.1.0. By removing the call to request.clone(), the memory leak has been resolved.
- Introduced garbage collection execution before snapshot to manage memory allocation effectively.
- Improved error handling and timeout mechanisms in the memory leak detector to enhance its resilience during runtime.
- Expanded testing for both GET and POST requests to monitor and validate potential memory leaks better. The POST requests involve sending large payloads to stress-test the system.
- The modification particularly focuses on enhancing robust memory tracking and providing detailed progress reporting during request phases.
* patch @sentry/remix to prevent memory leaks
* Fix pnpm lock
* undo some unrelated changes
* Sentry WIP
* Configure sentry for uploading and releasing during the publish webapp step
* Delete source maps after uploading
* Forward logger.error calls to sentry through Logger.onError
* Couple tweaks to the dockerfile
Daniel Sutton