Tracing 504 and 413 failures
Following request failures across PostgreSQL queries, payload size, connections, and HTTP behavior.
My role · I investigated and resolved these failure paths across service boundaries. The work was part of a larger product and team environment.
Context · Professional work, with company details generalized.
Context
The platform combines multiple backend services and data flows. A failing request could surface at a boundary far from its underlying cause.
The Problem
Production paths returned 504 timeouts and 413 payload errors. The failures needed to be traced through database queries, connection handling, and request size.
My role
I investigated and resolved these failure paths across service boundaries. The work was part of a larger product and team environment.
Technical Approach
- Changed PostgreSQL indexes and rewrote partition-aware queries.
- Moved aggregation to the server where appropriate and adjusted connection-pool behavior.
- Applied HTTP keep-alive and chunked larger requests, including handling per-chunk 413 responses.
Generalized process
- Failing request
- Trace service path
- Inspect query and payload
- Change bottleneck
- Verify failure path
Decisions and Tradeoffs
Fix the path causing the symptom
The work addressed query scans, connections, and request handling rather than treating the HTTP status alone.
Bound payload size
Chunking prevented one oversized aggregation request from being the only delivery path.
Alternative to revisit
Different pagination or asynchronous processing models could be considered for a changed workload. Those alternatives are not presented as completed work.
Outcome
The documented 504 and 413 failure paths were resolved. Exact latency gains and business outcomes are not confirmed.
Reflection
I would keep the request boundaries, query plans, and production signals visible so similar failures are easier to isolate.
Technologies
Links
No public repository or live demo is available for this professional work.