Message queues.
Durable queues for decoupled, at-least-once processing with dead-letter handling.
Decouple producers from consumers with durable, scalable queues — at-least-once delivery, visibility timeouts and dead-letter handling so a slow or failing consumer never drops work.
- Category
- Integration
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Standard for throughput or FIFO where order matters.
At-least-once delivery with visibility timeouts and backpressure.
Dead-letter queues and redrive catch what consumers can't.
Message queues, in full.
At-least-once with redrive and dead-letter queues.
From a trickle to millions of messages without tuning.
FIFO where order matters, standard for max throughput.
Visibility timeouts and concurrency control protect consumers.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision message queues on Aether Cloud
aether integration create \
--service message-queues \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Delivery
- At-least-once
- Ordering
- FIFO or standard
- Throughput
- Elastic, to millions/sec
- Failures
- DLQ + redrive
- Backpressure
- Visibility timeouts
Built for real work.
Asynchronous job processing
Service decoupling
Workload smoothing
On one model, not stitched together.
The usual stack runs message queues in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — message queues sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your message queues — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
Durable queues for decoupled processing — with FIFO and dead-letter handling, next to your compute and functions.
FIFO queues do; standard queues maximize throughput.
Dead-letter queues and redrive isolate them automatically.
Your boundary, your choice.
Pairs well with.
Managed gateway with auth, rate limiting, transformation and usage plans for your APIs.
Publish-subscribe event routing with filtering and fan-out across services.
Durable, stateful workflows for long-running processes, retries and agent pipelines.
mTLS, traffic management and observability between your services, without app changes.
Run Message queues on Aether Cloud.
Durable queues for decoupled, at-least-once processing with dead-letter handling. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.