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Loading...Introduction to Apache Kafka
You've scaled your application to handle a large volume of requests, but your database connection pool is maxed out. This is a common problem in production scenarios where data processing needs to be done in real-time. Apache Kafka is a distributed streaming platform that can help you handle such scenarios.
The Problem We Faced
We were handling millions of requests per day, and our database was struggling to keep up. We needed a way to process data in real-time without overloading our database. After researching various solutions, we decided to use Apache Kafka.
What is Apache Kafka?
Apache Kafka is a distributed streaming platform that is designed to handle high-throughput and provides low-latency, fault-tolerant, and scalable data processing. It is based on a publish-subscribe model, where producers publish data to topics, and consumers subscribe to these topics to consume the data.
Setting Up a Kafka Cluster
To set up a Kafka cluster, you need to have at least three brokers (nodes) for a production-ready cluster. You can use Docker and Kubernetes to set up a Kafka cluster.
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