Notification Service With Kafka In Massachusetts
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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.
Should I use Kafka or just a load balancer? HTTP is stateless and cannot easily be replayed. Do you care if you miss a message? Then use Kafka. If you want to persist your events and you want to decouple production and consuming of events, then use kafka. If you want a synchronous approach use the balancer.
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.
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.
Today, Kafka is used by thousands of companies including over 80% of the Fortune 100. Among these are Box, Goldman Sachs, Target, Cisco, Intuit, and more. As the trusted tool for empowering and innovating companies, Kafka allows organizations to modernize their data strategies with event streaming architecture.
Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications.
Apache Kafka is a publish-subscribe based durable messaging system. A messaging system sends messages between processes, applications, and servers. Apache Kafka is a software where topics can be defined (think of a topic as a category), applications can add, process and reprocess records.
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.