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Graph/resource-limit-blocking-hangs

Pattern

Resource Limits Deadlock-Like Hangs

resource-limit-blocking-hangs

Process hangs or fails under constrained environments because execution is blocked by memory cgroup/system limits and by lock contention (GIL/reentrant locks/deadlock), while retries and offload assumptions mask the true blocking mechanism.

Node Details

Public graph metadata

Updated7/10/2026

Connections

30 linked nodes

As long as you lock more than a single thing at a time, you risk deadlocks. — lock more than a single thing at a time. Tension: You hold B waiting for A, they hold A waiting for B. Outcome: one of you has to abort or you're stuck.

the cache doesn't work across processes — workers might be pre-forked. Tension: is using lru caching doing what I am expecting, that is - will it only initialize sentry once even though i attempt to do it multiple times? Outcome: provided it's called within the same process.

the thread that "crashed" is, of course, the watchdog thread and not the actual thread which was frozen. Tension: I need to trigger the frozen thread to abort to enable Sentry to correctly group related freezes together for analysis. Outcome: how do I do this without significantly corrupting the call stack (which needs to be intact for diagnosis)?

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.

as soon as RAM utilisation hits ~4-5GB, the child process dies — If I run the fastapi server with workers ( `fastapi start src/api.py --port 3000 --workers 2` ). Tension: The machine has 8 cores and 64GB of RAM. Outcome: The behavior is consistent irrespective of the number of workers ( workers > 1 ).

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.

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.

force-kills the process as "stalled" even though it is alive and working — A heartbeat-based watchdog supervising a long-running child subprocess. Outcome: the run is killed.

the model kept running at a clamped lower tier ("high") — a config setting meant to raise an agent's reasoning/thinking effort. Outcome: the limit was purely in the framework's resolution layer.

cause a deadlock and fail when attempted in production — only to cause a deadlock and fail when attempted in production (much larger table sizes). Tension: we had an expensive migration that ran fine locally, got committed, and ran succesfully on a sandbox environment. Outcome: we decided we'd revert the commit that introduced the migration, rewrite it, and attempt again.

Outcome: The established method to prevent improper memory access is to use processes.

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.

unexpectedly dies itself with exit code 144 (128 + signal 16) or reports 'Command failed with signal SIGTERM' — A command that runs `pkill -f "<pattern>"` to clean up a background process. Tension: the intended relaunch/cleanup never completes. Outcome: This happens when the pattern passed to `pkill -f` (or `pgrep -f`, or a `ps | grep` kill loop) also matches the command line of the very shell executing it.

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.

more than MAX_THREAD_POOL running threads at once — each thread that calls `executingThreadPool.add` immediately uses `executingThreadPool.poll`. Tension: your locks don't prevent more than MAX_THREAD_POOL running threads at once. Outcome: Hence most likely more than MAX_THREAD_POOL tasks will run concurrently.

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

would eventually run out of open file allowance and throw the error java.nio.file.FileSystemException: /opt/jboss-app/deployments: Too many open files — After migrating from EAP 6.4 to EAP 7.4. Tension: thousands of symlink entries for my jks keystore, up to the 4096 file ulimit. Outcome: I did not discover why Jboss 7.4 doesn't close or garbage collect file handlers on my inputStreams.

what are the correct values of three highlighted parameters? — when it comes to intrusive lockless stacks (single-linked lists). Tension: I've seen various permutations of highlighted parameters. Outcome: I understand it doesn't matter on x86, but it is nice to do things right...

Dynamic memory allocation is ill-advised in any event in most small scale and real-time embedded applications — in most small scale and real-time embedded applications. Tension: non-deterministic timing, the need to deal with the potential for failure and memory exhaustion. Outcome: particularly ill-advised in (and generally prohibited) safety critical systems.

Go goroutine blocks forever on a channel send after parent context cancellation

After enabling Spring Boot virtual threads, the application deadlocks under load. Thread dumps show virtual threads parked waiting for object monitors inside synchronized methods/blocks.

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.

suffers an unbounded memory allocation (DoS) — when processing a crafted ELF file.

Tension: libcurl continued to invoke the prior PUT read-callback path on the reused connection, dereferencing memory the application had already freed.

With --novram (full CPU offload), it still fails if system RAM is constrained — With --novram (full CPU offload). Tension: cgroup/systemd memory limits kill the process before swap is fully utilized. Outcome: Adding 16GB swap doesn't help.

Tension: attacker-controlled sizes from PAX extended headers. Outcome: triggering a SIGSEGV/stack exhaustion.

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.

suffered a 3.5h total mid-conversation outage — An OpenClaw-based assistant on an Anthropic Claude subscription (session ~5h windows + weekly caps). Tension: hitting the session limit locked out BOTH the primary model (claude-fable-5) and the configured fallback (claude-opus-4-8). Outcome: Structural cause: the model fallback chain only walks other models on the SAME subscription.

An ETL pipeline slowed from 19s/pair to 40-47s/pair — after one "resilience hardening" commit changed three perf-relevant knobs at once. Tension: TWO commits 15 minutes apart each claimed to be "the actual cause" of the SAME slowdown, with no measurement between them. Outcome: the file documented a policy it did not implement, and nobody could tell whether the regression had returned.

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