Decouple Every Service.
Deliver Every Message.
Neviri Managed RabbitMQ gives your microservices a reliable asynchronous backbone. Publish a job in milliseconds, let durable queues absorb the spike, and let acknowledged workers process at their own pace — with quorum replication, dead-lettering, and TLS handled for you.
Absorb the Spike. Never Drop the Job.
Synchronous HTTP chains fail together: one slow downstream service and your checkout endpoint times out. A work queue breaks that coupling. Producers publish in milliseconds and move on, while consumers pull jobs at exactly the rate they can sustain.
Every hop in the pipeline carries an explicit guarantee, so a burst of traffic becomes queue depth instead of dropped requests:
- Publisher confirms: The broker persists before it acks
- Prefetch fairness: Work is balanced across the consumer fleet
- Consumer acks: Messages delete only after processing succeeds
Message Flow Simulator
Broker idle on vhost /orders. Click Publish Burst to enqueue 20 messages...
Production Messaging Without the Ops
Every Neviri broker ships with replication, dead-lettering, observability, and network isolation configured before your first message is published.
Quorum Queues with Raft
Every production queue is replicated across three broker nodes using Raft consensus. A majority must persist each message before it is confirmed, so node loss never loses acknowledged data.
Multi-Protocol Broker
Speak AMQP 0-9-1 natively, plus MQTT for IoT device fleets and STOMP for WebSocket frontends. One broker, one endpoint, every client ecosystem connected.
Dead-Letter Exchanges
Route rejected, expired, or over-delivered messages into parking queues automatically. Combine DLX with per-queue TTLs to build tiered retry and backoff topologies declaratively.
At-Least-Once Delivery
Publisher confirms guarantee the broker persisted your message before acking the producer. Consumer acknowledgements guarantee nothing is deleted until your worker finishes the job.
Management UI + Prometheus
The full RabbitMQ management dashboard ships enabled — inspect queues, connections, and channels live. Prometheus metrics are exposed for your existing Grafana alerting stack.
TLS + Private VPC Isolation
AMQPS with TLS 1.3 is enforced for every client connection. Brokers bind to your private VPC subnet by default, with per-vhost credentials scoping each application's access.
The Async Backbone of Your Stack
Managed RabbitMQ plugs into Neviri compute, autoscaling, and VPC networking so queues drive your architecture instead of just buffering it.
Decouple Neviri Compute
Place work queues between the services running on your Neviri compute instances. A checkout API publishes in milliseconds while background workers absorb the actual load — traffic spikes fill the queue instead of crashing your fleet.
Queue-Depth Autoscaling
Feed broker queue-depth metrics into Neviri autoscaling policies. When orders.process climbs past your threshold, consumer instances are added automatically — and scaled back to zero cost when the backlog clears.
Zero Public AMQP Exposure
Brokers live entirely on your private VPC with no public 5672 or 5671 listener. Only your compute instances on the internal subnet can reach the broker, eliminating the most common messaging attack surface.
Speak AMQP from Any Runtime
Neviri hands you a standard AMQPS connection URI, so every mature RabbitMQ client works unmodified. Declare your exchanges and queues in code, and the broker topology follows your repository instead of a dashboard.
Node.js amqplib
Publish with confirm channels and consume with prefetch-tuned workers from Express, Fastify, or NestJS services.
Python pika + Celery
Point Celery's broker URL at your Neviri endpoint and get distributed task queues with retries in one config line.
Java Spring AMQP
Use @RabbitListener annotations, declarative bindings, and container-managed acknowledgements for enterprise JVM services.
Go amqp091-go
The maintained RabbitMQ client for Go — lightweight channels and delivery iterators built for high-concurrency consumers.
Frequently Asked Questions
Everything you need to know about delivery guarantees, queue replication, and broker operations on Neviri.
Not when the durability primitives are combined correctly, and Neviri enables them by default. Queues are declared durable and producers mark messages persistent (delivery_mode=2), so payloads are written to disk rather than held only in memory. Publisher confirms mean the broker acknowledges a publish only after the message is safely persisted, so your producer knows a write succeeded instead of assuming it. On the consuming side, manual acknowledgements guarantee a message is only removed from the queue after your worker finishes processing it. Finally, quorum queues replicate every message across three broker nodes, so even losing an entire node loses zero acknowledged messages.
Choose RabbitMQ when you need a smart broker: per-message routing through exchanges, work queues with competing consumers, per-message acknowledgements, priorities, TTLs, and dead-lettering. It excels at task distribution, RPC patterns, and decoupling microservices where each message is a job to complete and delete. Kafka is a distributed replayable log: it shines for event streaming, high-throughput analytics pipelines, and cases where multiple independent systems replay the same ordered history. If your question is 'how do I get this job to exactly one available worker reliably', RabbitMQ is the simpler, cheaper answer. Many teams on Neviri run both for different workloads.
The queue absorbs the difference — that buffering is the entire point of a broker. Depth grows, and Neviri surfaces it immediately through queue-depth metrics and alerts so you can scale out consumers. If a backlog grows very large, RabbitMQ applies flow control to slow down publishers before memory becomes critical, and you can declare lazy or stream queues that page messages to disk so millions of queued messages do not pressure RAM. As a safety valve, per-queue TTL and max-length policies can expire or dead-letter overflow messages to a parking queue instead of letting a backlog grow without bound.
A poison message is one that makes a consumer fail every time it is delivered — a malformed payload or a job that hits an unrecoverable error. Without dead-lettering it is redelivered forever, burning CPU and blocking healthy messages. With a dead-letter exchange (DLX) configured, a message that is rejected, expires, or exceeds the queue's delivery limit is republished to a designated exchange and lands in a parking queue with headers describing why it died. From there you can inspect it, fix the bug, and shovel it back into the original queue. Combined with per-queue TTLs, you can also build tiered retry topologies: fail, wait 30 seconds in a delay queue, retry, then dead-letter for good after N attempts.
Every quorum queue on Neviri is replicated across three broker nodes using the Raft consensus protocol: one replica acts as leader and handles all reads and writes, while followers persist every operation to their own logs. A publish is only confirmed once a majority of replicas have written it. If the node hosting the leader fails, the surviving followers detect the missed heartbeats and elect a new leader within seconds — and because the majority already holds every confirmed message, no acknowledged data is lost. Client libraries reconnect through the same Neviri endpoint and resume publishing and consuming without topology changes in your code.
AMQP 0-9-1 is the native protocol and works with every major client: amqplib for Node.js, pika for Python, Spring AMQP for Java, amqp091-go for Go, and equivalents for .NET, Ruby, PHP, and Rust. Neviri brokers also ship with the MQTT plugin enabled for lightweight IoT and mobile publishers, and STOMP for simple text-based clients and web frontends over WebSockets. All protocols terminate TLS at the broker, and each application can be scoped to its own virtual host with isolated permissions.
Stop chaining brittle HTTP calls. Start publishing messages.
Deploy RabbitMQ Broker