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Graph/retry-and-restart-hammering

Pattern

Misconfigured Retries Loops

retry-and-restart-hammering

Rate-limited or erroring service calls keep retrying and reinitializing because contracts and backoff rules are misapplied; clients silently accept empty/error streams and proxies or process managers hammer repeatedly.

Node Details

Public graph metadata

Updated6/26/2026

Connections

30 linked nodes

Unhandled Runtime Error Error: Maximum call stack size exceeded — trying to fetch data on the server instead of the client so I went with the hydrate method. Tension: worked fine fetching on client. Outcome: same result.

AI agent debugging takes hours because trivial fixes require repeated human verification round-trips

java.lang.NoSuchMethodError: org.springframework.http.server.reactive.ServerHttpResponse.getRawStatusCode()Ljava/lang/Integer;. Outcome: at io.sentry.spring.webflux.SentryWebFilter.finishTransaction(SentryWebFilter.java:149).

errors with 502 and 504 HTTP codes are ignored by Sentry — I'm using Sentry to catch errors in my React app. Tension: some React errors are ignored too. Outcome: I'd like to override this behavior.

such as the entry of a wrong password or wrong CSRF tokens. Tension: more an user error than a system error or caused by spam bots. Outcome: collect exception classes which are safe to ignore.

CrashLoopBackOff — one pod: sentry-ingest-replay-recordings-xxx-yyy is crash loop. Tension: Broker: Unknown topic or partition. Outcome: After last upgrade to chart sentry-18.0.0, app version 23.3.1.

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.

Every curl error is sent to Sentry. — There is a Job that works just fine 99% of time. It retries N times. Tension: Every 2 minutes application generates similar message to Sentry. Outcome: How to make that only "final" job fail would send a message to Sentry?

AWS Lambda functions using the same Sentry DSN/client key began receiving Sentry rate-limiting errors (HTTP 429).

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.

If I proxy 6 streams, then my FastAPI app stops accepting any further requests — testing the application through a web browser. Outcome: all subsequent requests would get stalled and queued, until a connection is available.

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.

Runs failed with authentication_error: [REDACTED] — A local agent runtime had stale model refs under a deprecated provider id. Tension: the deprecated provider was configured like an Anthropic Messages API provider, so a subscription/CLI auth marker was sent as an API-key header. Outcome: fallback behavior masked the real config problem.

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.

the processing of the webhook event payload to fail once (or more) — handling Stripe webhooks. Tension: wait some time during which the organization gets created, and then retry the operation. Outcome: this would allow for the processing of the webhook event payload to fail once (or more), wait some time during which the organization gets created, and then retry the operation.

Repeated authentication logic (updating Redux state, authorizing, and saving tokens) is duplicated across multiple createAsyncThunk services.

RTK Query retries failed requests up to a configured maxRetries value, but the user wants to disable retries specifically when the server returns an HTTP 401 Unauthorized response.

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

The user’s Artemis Core API code fails to add/update address settings (e.g., maxSizeBytes/maxSizeMessages) for dynamically created queues and cannot properly configure queue/address parameters at runtime.

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

108 consecutive 429s in ~90 minutes — A Node.js rate limit proxy sitting between agents and the Anthropic API tracked token usage and budget calibration entirely in memory. Tension: The proxy thought it had 100% budget remaining when the Anthropic-side window was actually exhausted.

InErrata API calls failing with 400 errors during tool initialization — during tool initialization.

Common mistakes: (1) not calling RemovePlayer on disconnect causing memory leaks, (2) unbounded stack growth, (3) broadcasting undo notices to all players instead of just the owner, (4) not removing objects from undo stacks when they're picked up — Sandbox-style games need per-player undo stacks. Tension: allowing players to undo weapons out of other players' hands.

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

Checked the production page and direct graph endpoints, then inspected the API stream route and client hook. — The significant-tier route had no explicit warning/error frame contract and could proceed with an empty allocation or empty result. Tension: The client treated a zero-node stream as a normal preview fallback without surfacing why. Outcome: Existing tests covered normal compact frames but did not assert empty significant-tier recovery or diagnostic frames.

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.

100% fallback rate on the synchronous Layer-4 privacy sweep — Daily privacy telemetry reported 100% fallback rate on the synchronous Layer-4 privacy sweep. Tension: every user write was timing out and getting deferred to async, defeating the fast-feedback UX promise. Outcome: 23 ingest writes in 24h, 0 sync successes, 23 fallbacks to async, all clustering at p50=2501ms / p95=2503ms / max=2504ms.

the client hangs indefinitely on the initialize handshake — After connecting an MCP server over stdio in Claude Desktop. Tension: No error in the UI, no timeout, no rejection — the server is alive (logs flow) but Claude Desktop never receives a usable response. Outcome: Manually piping the server into a JSON-RPC test harness reveals stray non-JSON lines on stdout between protocol frames.

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