FluxMQ

A high-performance, multi-protocol message broker written in Go designed for scalability, extensibility, and protocol diversity. MQTT transports share a single broker, AMQP 0.9.1 and AMQP 1.0 run in independent brokers, and durable queues provide cross-protocol routing and fan-out.

Links

• Documentation
• Website
• Professional Support
• Discord
• Blogs

✅ Recommended for

Event-Driven Architectures

• Event backbone for microservices - Reliable, ordered event distribution between services with at-least-once or exactly-once delivery (QoS 1/2)
• CQRS systems - Durable queues for command/event distribution with per-queue FIFO ordering
• Asynchronous workflows - Decouple services with persistent message queues and ack/nack-based redelivery
• Real-time event processing - Low-latency pub/sub with durable queues and ordering

Why choose this for EDA:

• ✅ Simple operations - single binary with embedded storage, no Zookeeper/KRaft
• ✅ Multi-protocol - same broker handles MQTT, HTTP, WebSocket, CoAP
• ✅ Per-queue FIFO ordering (single-log queues)
• ✅ Retention policies for queue logs (time/size/message count)
• ✅ Optional Raft layer for queue appends (WIP)

IoT & Real-Time Systems

• Device communication - MQTT 3.1.1/5.0 with QoS levels for reliable delivery over unreliable networks
• Edge computing - Embedded deployment with low resource footprint
• Browser clients - WebSocket transport for real-time web applications
• Constrained devices - CoAP bridge for resource-limited IoT hardware

High-Availability Systems

• Clustered deployments - Automatic session takeover with embedded coordination
• Geographic distribution - gRPC-based cross-node routing with embedded etcd coordination
• Scalability - Horizontal scaling with multi-node clusters

Event-Driven Architecture Pattern

FluxMQ is optimized for event-driven systems that need ordered delivery, durable queues, and lightweight operations. For configuration examples and queue patterns, see examples/ and Durable Queues.

Features

• Multi-Protocol Support

  • MQTT 3.1.1 - Full support over TCP and WebSocket
  • MQTT 5.0 - Full support over TCP and WebSocket
  • AMQP 1.0 - Dedicated broker with queue integration
  • AMQP 0.9.1 - Dedicated broker with queue integration
  • HTTP-MQTT Bridge - RESTful API for publishing messages
  • WebSocket Transport - MQTT over WebSocket for browser clients
  • CoAP Bridge - UDP and DTLS (mDTLS) support for constrained IoT devices
  • MQTT transports share a broker; AMQP brokers are independent; queues are the shared durability layer

• Performance Optimized

  • Zero-copy packet parsing
  • Object pooling for reduced GC pressure
  • Efficient trie-based topic matching
  • Direct instrumentation (no middleware overhead)
  • Concurrent connection handling

• Full MQTT Feature Set

  • QoS 0, 1, and 2 message delivery
  • Retained messages
  • Will messages
  • Session expiry
  • Topic wildcards (+ and #)
  • Session persistence
  • Keep-alive management
  • Shared subscriptions (MQTT 5.0)
  • MaxQoS enforcement (MQTT 5.0)

• Security

  • TLS/mTLS for MQTT client connections
  • mTLS for inter-broker gRPC communication
  • DTLS/mDTLS for CoAP connections
  • WebSocket origin validation
  • Rate limiting (per-IP connections, per-client messages/subscriptions)

• Clustering & High Availability

  • Embedded etcd for distributed coordination
  • gRPC-based inter-broker communication with mTLS
  • Automatic session ownership management
  • Cross-node message routing
  • Persistent storage with BadgerDB
  • Graceful shutdown with session transfer
  • No external dependencies - all embedded in single binary

• Durable Queues

  • Persistent message queues with consumer groups
  • Ack/Nack/Reject message acknowledgment
  • FIFO per queue and per consumer group (single cursor)
  • DLQ handler present (delivery path wiring pending)
  • Optional Raft layer for queue appends (WIP)
  • Retention policies (time/size/message count)

• Persistent Storage

  • BadgerDB for session state and offline queues
  • Hybrid storage for retained messages
  • Pluggable storage backends (memory, BadgerDB)

• Extensible Architecture

  • Clean layered design: Transport → Protocol → Domain
  • Protocol-agnostic domain logic and shared queue manager
  • Easy to add new protocols and transports
  • Dependency injection for logging and metrics

Architecture

flowchart TB

%% Edge / Transport
EDGE["TCP/UDP + TLS/mTLS + Load Balancing + Rate Limiting"]

%% Protocol servers
S1["TCP/WS/HTTP/CoAP Servers"]
S2["AMQP Server"]
S3["New Protocol Server"]

EDGE --> S1
EDGE --> S2
EDGE -.-> S3

%% Auth
A1["Auth + extensions"]
A2["Auth + extensions"]
A3["Auth + extensions"]

S1 --> A1
S2 --> A2
S3 -.-> A3

%% Brokers
B1["MQTT Broker"]
B2["AMQP Broker"]
B3["New Protocol Broker"]

A1 --> B1
A2 --> B2
A3 -.-> B3

%% Cluster
C1["Cluster"]
C2["Cluster"]
C3["Cluster"]

B1 --- C1
B2 --- C2
B3 --- C3

%% Routing resolvers
R1["Routing Resolver"]
R2["Routing Resolver"]
R3["Routing Resolver"]

B1 --- R1
B2 --- R2
B3 --- R3

%% Shared queue core
subgraph Queue
    DE["Delivery engine"]

    EQ["Ephemeral Queue"]
    DQ["Durable Queue"]
    REP["Replication"]
    LS["Log Storage"]

    DE --> EQ
    DE --> DQ
    DQ --> LS
    DQ --- REP
end

%% Bridge to core
R1 --> DE
R2 --> DE
R3 -.-> DE

Loading

MQTT transports share one broker; AMQP brokers are independent; queues provide the shared durability and cross-protocol fan-out layer.

Getting Started

The simplest way to run the broker is using Docker Compose file with default config:

docker compose -f deployments/docker/compose.yaml up -d

To run with the config from examples/no-cluster.yaml, execute the following from the repo root so the file path resolves.

FLUXMQ_CONFIG=../examples/no-cluster.yaml \
  docker compose -f deployments/docker/compose.yaml up -d

To run locally, use:

make build
./build/fluxmq --config examples/no-cluster.yaml

Defaults in examples/no-cluster.yaml:

• MQTT TCP: :1883
• AMQP 0.9.1: :5682
• Data dir: /tmp/fluxmq/data

Docker build

• Image: ghcr.io/absmach/fluxmq
• Examples: deployments/docker/README.md, deployments/docker/compose.yaml, deployments/docker/config.yaml
• Build local image: make docker

Configuration

Configuration is YAML-based. See examples/ for starter files and Configuration Reference for the full reference.

Benchmarks

Benchmark results are workload- and hardware-dependent. For reproducible numbers, run the benchmark scripts in benchmarks/ and capture results on your target hardware. See benchmarks/README.md for commands and guidance.

Documentation

Document	Description
Architecture	Detailed system design
Scaling & Performance	Benchmarking and tuning guidance
Clustering	Distributed broker design
Client Library	Go MQTT and AMQP 0.9.1 clients with queue support
Broker Internals	Message routing, sessions
Durable Queues	Queue configuration, consumer groups
Configuration	Complete config reference
Webhooks	Webhook event system
Roadmap	Project planning notes

Contributing

1. Fork the repository
2. Create a feature branch
3. Write tests (make test)
4. Run linter (make lint)
5. Open a Pull Request

License

Apache License 2.0 - see LICENSE