We will first explain why this buffer is needed, then we will take the Kafka integration as an example, to introduce the high-level design, then drill down for more details to understand better how replayq works.
This year marks a significant milestone for EMQ. Ten years back, on December 17, 2012, EMQX was released as an open-source project on GitHub.
EMQX Cloud introduces the custom functions feature, allowing users to easily convert IoT data into the format that matches the data stream.
This article will help you to get started exploring the MQTT Over QUIC feature in EMQX 5.0.
EMQX 5.0 updated steadily this month, with the latest version reaching 5.0.8. While fixing already-known bugs, we also focused on enhancing performance and improving functional experience.
EMQX 5.0 refactors and optimizes data integration and provides data integration visualization capabilities (Flows). This article will demonstrate the value and application of this capability.
Native MQTT session persistence based on RocksDB is a groundbreaking and important feature change since the release of EMQX.
This article will explain MQTT over QUIC in detail to show the advantages and value of this leading technology implementation for IoT scenarios.
In July, EMQX 5.0.0 was released, bringing a number of groundbreaking updates and improvements.
This article will describe in detail the new underlying architecture that exponentially improves EMQX's horizontal scalability, helping you understand the technical principles of EMQX 5.0 cluster expansion.
EMQX v5.0 has been verified in test scenarios to scale to 100 million concurrent device connections, which is a critically important milestone for IoT designers.
In May, EMQX 5.0.0-rc.3 and rc.4 were consecutively released. The updated versions now provide additional support for jq syntax to the rule engine, and a further adjusted and optimized Dashboard menu bar.