<p>An inference server stopped generating tokens while more than 200 GiB of host memory remained available. Its health endpoint kept returning HTTP 200. The first visible
<p>Every data processing system will eventually receive a record it cannot handle. A missing required field, an unexpected data type, a payload that exceeds size limits, a
<p>Short answer: put each user reminder on a queue, make the consumer idempotent, retry transient delivery failures with backoff, and move exhausted work to a dead-letter queue
<p>Short answer: a threshold tells you that deliveries failed; a delivery ledger tells you which notifications were affected. Poll recent metrics and errors for detection, but
<p>Short answer: for a scheduled daily report email backend, use cron to start one coordinator, then put one durable, idempotent delivery job per subscriber behind it; direct
<p>A property manager needs a correctly routed maintenance ticket, not a retry loop that eventually returns some text. The least complex workable design is one durable queue, one
<p>Use a durable delivery-claim ledger keyed by the logical password-reset challenge, channel, and message purpose; commit that claim before dispatch, reuse the same idempotency
<p>When a customer-support system retries outbound webhooks, the cleanup job is easy to underestimate. A nightly delete of old delivery records may fit in one request today and
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