AWS SQS and SNS: One Stores Work, the Other Fans Out Events
SQS is a pull-based durable queue and SNS is a push-based topic. Reliable fan-out commonly connects one SNS topic to multiple SQS queues rather than sharing one queue across services.
#background-jobs
7 postsCloudflare Queues: Move Work off the Request Path into Retryable Batches
Cloudflare Queues is the message queue beside Workers: producers enqueue slow work, consumers process it with batching, ack/retry, delays, and DLQs. It is good for single-step background jobs; durable multi-step state belongs in Workflows.
Inngest: Turn Serverless Functions into Recoverable Workflows with Steps
Inngest makes steps the persistence boundary for ordinary TypeScript, Python, and Go functions. Recovery re-executes the function while memoized steps avoid repeating completed side effects.
RabbitMQ: Express Routing with Exchanges, Preserve Work with Quorum Queues
RabbitMQ's strength is routing through exchanges, bindings, and queues. For replicated work, default to quorum queues and combine publisher confirms, manual acknowledgments, and idempotent consumers.
Redis Streams: An Append-Only Log and Consumer Groups for Reliable Redis Messaging
Redis Streams stores replayable entries with `XADD`; consumer groups add a Pending Entries List and `XACK`. It is more durable than Pub/Sub, but it does not automatically become Kafka.
Trigger.dev: Durable Tasks via Process Snapshots, No Determinism Required
Trigger.dev is an Apache 2.0 durable task platform (v4.5.12, checked 2026-08) that uses CRIU to snapshot entire Node.js processes for pause and resume. Unlike Temporal's replay model, it never re-executes your orchestration code and imposes no determinism constraint — LLM calls go directly in the task. The tradeoff: snapshots can't preserve TCP connections (you reconnect manually), and checkpointing is cloud-only — self-hosted deployments don't get it.
BullMQ: The Most Mature Redis-Backed Job Queue for Node.js
BullMQ is the most mature job queue in the Node.js ecosystem, backed by Redis, with support for priorities, retries, scheduling, and delayed jobs. DaoDao uses it to handle notification delivery and practice auto-completion scheduling.