Publisher Confirms in RabbitMQ: A Receipt, Not a Delivery Guarantee
Publisher confirms tell you the broker accepted a message — not that it reached a queue or a consumer. Here's the design that closes the gap.
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Publisher confirms tell you the broker accepted a message — not that it reached a queue or a consumer. Here's the design that closes the gap.
Idempotency is a property of each Ansible task, not the playbook. How creates, changed_when and stat keep command and shell tasks from reporting changes on every run.
In Bamboo, a deployment project consumes a release created from a successful build result. When a deployment fails after a script or deployment task has already written to an external system, the operator must choose between redeploying the same release and creating a new release from the same build result. Bamboo records deployment outcomes per release and
Background Vagrant's retryable option for provisioners (since 2.2) re-executes a provisioner on failure, but the framework does not wrap the run in a transaction or provide an on_retry hook. This means any provisioner that writes files, modifies databases, or calls external APIs can perform the same mutations twice when a transient error triggers a retry. Co
Learn how Ansible's yum and apt modules enforce idempotent package installs, see a cross‑family playbook, and verify the behavior with check mode and drift tests.
Determine whether Codecov’s uploader treats a network interruption that occurs after sending only part of the request payload as a failed upload that consumes one of the configured retry attempts. The uploader relies on server‑side idempotency, which assumes the entire payload is received; it is unclear if an incomplete payload is rejected, whether it still
Goal We are moving our FaunaDB write path from manual client-side retry loops to driver-level retries combined with conditional FQL writes, and we need to prevent duplicate documents when a commit succeeds but the response is lost. Context and constraints Our collections are written from multiple regions, so we cannot rely on client-side timestamps for dedup
Goal: Prevent duplicate writes when a Liquibase changeSet that runs outside a transaction (runInTransaction=false) fails and is retried by an external retry mechanism such as Spring Retry. Constraint: With runInTransaction=false, a failed changeSet may leave partial database effects; Liquibase does not record the changeSet in DATABASECHANGELOG on failure, so
The retry(N) step in Jenkins Pipeline is designed to re-execute a block of code upon failure. However, this mechanism does not track side effects or state changes that occurred during previous attempts within the same block. When integrating Jenkins with external systems—such as REST APIs or databases—a failure occurring after a write operation but before th