RabbitMQ

With Geliştir Cloud Core Panel, you can install the latest version of your RabbitMQ server within minutes and start using it immediately.

RabbitMQ

Overview

RabbitMQ is an open-source platform widely used for message queues. Built on Erlang/OTP, this powerful message broker is designed to manage communication between distributed systems and optimize data flow. Its support for many protocols such as AMQP, MQTT, STOMP and HTTP makes RabbitMQ easily adaptable to different workloads. Supported by VMware, this platform reliably processes millions of messages worldwide.

Thanks to its lightweight structure and clustering support, it ensures messages are delivered with low latency, while offering enterprise-level reliability with high availability and fault tolerance features. Thanks to its high performance and flexibility, it is widely preferred in microservice architectures, IoT projects and real-time applications. It facilitates operational processes and increases system efficiency with Management UI, monitoring plugins and comprehensive REST API. It supports complex messaging topologies with federation, shovel and stream processing features.

Key Features

1

Multi-Protocol and Wide Language Support

AMQP, MQTT, STOMP, HTTP protocol support. Client library support for 20+ programming languages including Python, Java, .NET, Go, Node.js, PHP and cross-platform compatibility.

2

High Performance and Low Latency

Millions messages/second throughput thanks to Erlang/OTP's actor model structure, microsecond-level latency and memory-efficient message handling.

3

Enterprise Reliability and HA

Provides enterprise-grade reliability with clustering, mirrored queues, automatic failover, message persistence, publisher confirms and dead letter exchanges.

4

Advanced Management and Monitoring

Operational excellence with web-based management UI, Prometheus metrics, comprehensive REST API, audit logging and real-time monitoring dashboards.

Use Cases

1

Microservice Architectures

Service-to-service communication, event-driven architecture, saga patterns and distributed system coordination

2

Real-time and Streaming Applications

Chat applications, notification systems, live updates and real-time data processing pipelines

3

IoT and Sensor Data Processing

MQTT broker, sensor data collection, device management and edge-to-cloud messaging

4

Enterprise Integration and ETL

Legacy system integration, data pipeline orchestration, batch processing and workflow management

System Requirements

Minimum

  • 1 vCPU
  • 1 GB RAM
  • 10 GB Disk

Recommended

  • 2 vCPU
  • 4 GB RAM
  • 50 GB Disk

Quick Info

CategoryWeb Service
LicenseMPL 2.0
Version3.12.8
Difficulty

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