LavinMQ facilitates real-time communication between IoT devices and dashboards using MQTT/AMQP over WebSockets, allowing instant data updates without the inefficiencies of HTTP polling
Real-time IoT messaging enables instant visibility, while Prometheus and Grafana provide long-term insights. Integrating LavinMQ with these tools allows for effective monitoring and analysis of IoT data, transforming metrics into dynamic dashboards that reveal both real-time...
LavinMQ enables secure and scalable IoT systems, ensuring reliable message delivery despite growing device counts and data volumes. It features end-to-end encryption, user authentication, durable queues, and clustering for high availability
Version upgrade announcement: RabbitMQ 4.2 is now available on CloudAMQP. This makes 4.2 the latest version supported with features like Khepri as the default metadata store for improved performance and scalability, and other major updates. Find out more in this blog.
Introducing CloudAMQP CLI: Manage your message queue infrastructure from the terminal.
This blog post is part 1 of a 2 part series. We will cover server verification and dive into the importance of mutual authentication for secure messaging. Using certificates enhances overall security in RabbitMQ clusters.
In this blog we will continue from where we left off in part 1. In part 2 of using CA certs with RabbitMQ we will take a look at example client and RabbitMQ configurations.
LavinMQ version 2.5.0 introduces faster startup times, improved follower synchronization, and a new UI option for light mode. Full release notes and contribution guidelines are available on GitHub.
CloudAMQP now uses OpenTelemetry for observability, offering a unified standard for metrics, traces, and logs without vendor lock-in.
“Can we make it even faster?” was a question that came up during one of our work sessions. This became the starting point for a new project that significantly reduces the time it takes to spin up clusters for our customers.