The EMQX 3.2 version introduces the Rules Engine feature that supports screening data reported by the EMQX Broker terminal, which is processed and streamed to the back-end database or other message queues. This article uses a specific scenario to explain "How to use the rules engine to forward messages to Kafka"
Bridge is a way to connect multiple EMQX or other MQTT message middleware. Unlike clusters, topic trees and routing tables are not replicated between nodes operating in bridge mode.
MongoDB is a product between relational database and non-relational database. Among non-relational databases, MongoDB has the most abundant functions and most resembles relational database. MongoDB is written in C++ and is an open source database system based on distributed file storage. MongoDB is designed to provide a scalable, high-performance data storage solution for data storage. It can easily add more nodes under high load to ensure service performance.
Helm3 was released in November 2019, which adds many new features compared to Helm2.In this article, how to deploy EMQX cluster on Kubernetes via Helm3 will be introduced.
Amazon DynamoDB is a fully hosted NoSQL database service that supports key values and document data structures.
Officially launched in September, the official version of EMQX Enterprise 3.4.0 is released by EMQ. In this version, the management configuration and rule engine functions are enhanced, message encoding and decoding, cluster hot configuration and vehicle networking protocol support are added, and a new management monitoring Dashboard page is designed, and this version is a stable version recommended for enterprise applications.
Cassandra is an open source distributed database system from Apache that supports linear extension , high availability without losing the original read and write performance. At present, it is widely used in the back-end services of large enterprises, such as Netflix, Apple and so on, which have deployed thousands of nodes.
InfluxDB is an open source sequential database developed by InfluxData. It was written by Go and focuses on querying and storing sequential data with high performance. InfluxDB is lighter than the OpenTSDB database introduced in the previous issue, and is better than OpenTSDB in benchmarking indicators given officially by InfluxData.