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Is Kafka still relevant? Kafka is still a popular and effective choice for handling real-time data as businesses generate vast amounts of data that must be processed, stored, and analyzed in real-time to remain competitive.
Its architecture, designed for high throughput and scalability, makes it indispensable in modern data processing pipelines. Golang, with its concise syntax and efficient concurrency management, stands as an ideal ally for Kafka.
The notification email service consumes email requests from the Kafka notification topic and processes them to send them to a third-party service. Modules like PT, TL, PGR etc make use of this service to send messages through the Kafka Queue.
Tl;dr: All things considered, if you want the best performance at all costs (for Golang) or the simplest library to add to your system, you won't get better than Sarama. If you want the most reliable library or the best consumer API for Kafka (in Golang), go for confluent-kafka-go.
Kafka stands out for its ability to handle high throughput and provide scalability, fault tolerance, and message retention. These features make Kafka ideal for a notification system where reliability and real-time processing are crucial.
Kafka can not push notifications to consumers. Consumers have to keep polling/consuming messages in order to receive them. This is the only way messages stored in Kafka can flow to consumers.
You can use Go Modules to confluent-kafka-go.
It is an open-source system developed by the Apache Software Foundation written in Java and Scala.
How to Produce a Message into a Kafka Topic using the CLI? Find your Kafka hostname and port e.g., localhost:9092. If Kafka v2. 5+, use the --bootstrap-server option. If older version of Kafka, use the --broker-list option. Provide the mandatory parameters: topic name. Use the kafka-console-producer.sh CLI as outlined below.