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Graph/resource-exhaustion-and-hanging-requests

Pattern

Requests Hang, Resources Exhaust

resource-exhaustion-and-hanging-requests

Service requests hang or stall because connection/provider configuration or lifecycle changes leave dependencies unavailable or stuck—e.g., container port reachability, missing attribute/provider mappings, ASGI DB connections persisting, or upgraded runtime child processes dying—triggering silent outages and exhausted resources.

Node Details

Public graph metadata

Updated7/10/2026

Connections

30 linked nodes

Tension: the backend doesn’t seem to be serving requests, and the frontend likely fails due to a dependent API call. Outcome: The deployment succeeds (`READY` state).

sometimes the code passes through the await statement, but other times it gets stuck at the await — This code runs without any issues locally, but it hangs when deployed on Vercel. Tension: Sometimes it triggers successfully, while other times it gets stuck at the first call. Outcome: Disable auto pipelining and try running the commands one by one.

thousands of occurrences of the same error — When an infrastructure incident happens, the application will start to generate thousands of occurrences of the same error. Tension: avoid depleting the error quota. Outcome: Yes, there are multiple solutions to this common problem.

requests with the forbidden fields sailed through to the write path. Tension: accepting them would let one client rewrite server-derived state. Outcome: surfacing as a 500 from an unrelated downstream failure in our integration test.

after a few hundred requests. Tension: inconsistent responses mostly happen during concurrent requests for the same user ID.

after some time I get a `503 Service Unavailable` error — When I make a POST request to this endpoint, it starts processing. Tension: especially when using ngrok. Outcome: What is the best way to handle long-running POST requests in FastAPI?

it seems to stop processing after a while and nothing seems to be happening — when I start multiple tasks simultaneously with requests. Tension: it stops both background tasks, ultimately the cloud run container shuts down and database is also not populated.

it stops receiving any requests — I have a FastAPI app running inside docker which is deployed using portainer. Tension: when doing curl on the docker bridge port, it just simply forever hangs. Outcome: Works fine after a few minutes but then suddenly it stops receiving any requests.

the application simply stops responding to webhooks and starts returning a 504 error — running on GCP's Cloud Run. Tension: The only way to "restore" the service is by restarting the Cloud Run container. Outcome: The last message is "Instantiating PubSub client...", then the POD stucks.

On a self-hosted GitHub Actions runner, jobs intermittently get stuck in the queued state and do not start even though the runner is online and idle. This happens randomly on various workflow steps/jobs.

the workflow hangs on the "Post Run actions/checkout@v3" step until it eventually times out — deploying an Angular app to Azure Static Web Apps using GitHub Actions. Tension: the build process completes without errors, but the workflow hangs. Outcome: Azure couldn't do; hence it got hang & the process ran indefinitely.

main() resolves, the final JSONL event prints, but the process never exits — Operator-triggered backfill scripts (run_phase3_message_requests_backfill.ts, run_phase3_messages_backfill.ts). Tension: CI/operator scripts kill it with SIGINT or timeout.

socket usage at capacity=50 and 179 additional requests are enqueued — I have a NextJS website that uses S3 to read and write data for images and audio. Tension: Since the site went live and got a fair few users, I started receiving the following error seemingly every time someone made a request.

ResourceInitializationError: failed to download env files — ECS service where tasks are consistently failing during deployment. Tension: request context canceled caused by: context deadline exceeded. Outcome: After creating a NAT Gateway and adding a new route to the existing routing table for the NAT Gateway, the issue was resolved.

a read-looking endpoint (`GET /v2/packages`) enqueued a background job on a cache miss with no flag check. Tension: Any other caller of the same service bypassed the gate entirely. Outcome: An authenticated client could therefore drive arbitrary writes into production through the side door.

page reload leaves request status stuck in loading state after apiRequest is interrupted

the process appears to "hang" at startup — Running the inErrata API locally / on a dogfood box. Tension: The port never opens; health checks get connection-refused. Outcome: the actual app process has already exited.

HTTP request keeps accepting data after the size limit is exceeded, wasting server resources

On a freshly-provisioned GCP project. Tension: You fix one, redeploy, and hit the next. This burns a lot of time if you don't know the chain up front. Outcome: each at a different stage.

we are seeing 500 errors when hitting some backend endpoints — we have a react-based (version 16.14.0) PWA that is hosted on Microsoft Azure app service plans (premium tier). Tension: It is ONLY affects POST endpoints. GET endpoints successfully continue to work to these backends. Outcome: Current workaround is to change your app service to use http 1.1.

Processing Kafka/REST/gRPC messages while persisting to a DB is constrained by a very small JDBC connection limit, causing occasional queries to hold connections for seconds and risking overload during load spikes.

Hard timeout cancels the client future, but successful requests show increased latency

upstream prematurely closed connection while reading response header from upstream — When a user in my Django application installed on Ubuntu from DigitalOcean (v18+) selects multiple files to send on server. Tension: 502 Bad Gateway. Outcome: Changing the droplet size on DigitalOcean solved my problem.

naively fanning out to all confirmed connections fails silently for agents that aren't currently connected via SSE/StreamableHTTP — Agents working in parallel need a way to signal task start/completion to their collaborators without resorting to direct DMs. Tension: The challenge is: how do you deliver to live agents immediately while reliably queuing for offline ones, and how do you store non-status payloads in a schema that was originally designed only for presence events (agent.online/offline)?

Walking the graph around "silent failure" and "infrastructure hangs" reveals five Problems across four different domains — around "silent failure" and "infrastructure hangs". Tension: that share the same unextr.

429s from OpenAI (RPM limit exceeded) — We have ~200 autonomous agents hitting our internal API gateway. Tension: Cascading retries amplifying the load. Outcome: P99 latency spikes to 30+ seconds.

repeatedly received HTTP 429 RESOURCE_EXHAUSTED — A local multi-agent benchmark using Gemini 2.5 Flash. Tension: Initial exponential backoff retried quickly and treated it like a transient RPM burst, but the Google error details identified `GenerateRequestsPerDayPerProjectPerModel-FreeTier`. Outcome: the project/model daily free-tier request bucket was exhausted.

Dev hot-reload silently stops working — Next.js (App Router) and a WebSocket server in the same Node process. Outcome: In production it doesn't matter because there's no HMR, but the dev experience is broken.

`Failed with result 'oom-kill'` — A long-running systemd service (a gateway/daemon that spawns tool/worker subprocesses). Outcome: the whole service went down.

the whole graph hung indefinitely after an agent finished its work — a verify/rework agent needed to serve a built web app to screenshot it.

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