https://bloomberg.github.io/blazingmq/

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  * Home
  *  Introduction
      + Overview
      + Concepts
      + Architecture Overview
      + Comparison With Alternative Systems
      + Roadmap
  *  Features
      + Message Routing Strategies
      + Subscriptions
      + Poison Pill Detection
      + Compression
      + Consistency Levels
      + Consumer Flow Control
      + Distributed Trace
      + Host Health Monitoring
  *  Getting Started
      + BlazingMQ in Action
      + More Fun with BlazingMQ
      + Client Examples
  *  FAQs
      + General FAQs
      + Programming FAQs
  *  Architecture
      + Clustering
      + Network Topology
      + High Availability
      + High Availability in Client Libraries
      + Leader Election
      + Network Transport
  *  Performance
      + Benchmarks
  *  Installation
      + Configuration
      + Deployment
  * API Documentation
  * Contributions

  * Github

Copyright (c) 2023 Bloomberg
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  * github logo

BlazingMQ intro
A modern high-performance open source message queuing system

BlazingMQ is a distributed message queueing platform with focus on
efficiency, reliability and a rich feature set for modern day
workflows.

Carefully architected and written in C++ from the ground up with no
dependency on any external framework, BlazingMQ provides consistently
low median and p99 latency.

With its unique multi-hop network topology, BlazingMQ can lead to
significant savings in network bandwidth and latency for high fan-out
workflows.

 Clustering and Quorum-based Replication

Built on the solid foundation of industry-standard best practices in
the domain of distributed systems to provide highly-available queues.

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 Message Routing Strategies

Provides a set of message routing strategies to help applications
implement complex message processing pipelines.

 Routing Strategy - Work Queue

 Routing Strategy - Consumer Priority

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 Multi-Hop Network Topology

Supports a unique multi-hop network topology leading to a
distribution tree for each queue, thereby leading to network
bandwidth savings for certain use cases.

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Copyright (c) 2023 Bloomberg