<p>Two things quietly decide whether a small application survives being used: whether its reads<br /> are indexed, and whether its writes can be repeated safely. They are usually
<p>Write the event into the same transaction as the row. Poll the table. Send to Kafka. Mark it sent. That's the whole pattern, and every version of it you'll find online stops
<p>The textbook version of the transactional outbox is tight. You save the domain entity and an outbox row in one local transaction. A background scheduler picks up
<p>AI agents are pretty good at deciding what should happen next, given a well-defined business workflow. In the case of a customer support agent, for example, they can read a
<h2>The Fatal Flaw of the Dual-Write</h2> <p>In modern microservice architectures, or even well-structured modular monoliths, a single business action often requires two distinct
<blockquote> <p>Skip the theory rabbit holes. This is the caching knowledge that shows up in system design interviews, code reviews, and the 2 AM production incidents nobody
<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>Most applications don't fail because of bad code.</p> <p>They fail because of bad architecture decisions made early that nobody questioned <br /> until it was too late.</p>
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