Apache Kafka Cluster Type Deployment Strategies

Organizations start their data streaming adoption with a single Apache Kafka cluster to deploy the first use cases. The need for group-wide data governance and security but different SLAs, latency, and infrastructure requirements introduce new Kafka clusters. Multiple Kafka clusters are the norm, not an exception. Use cases include hybrid integration, aggregation, migration, and disaster recovery. This blog post explores real-world success stories and cluster strategies for different Kafka deployments across industries.

(Originally posted on Kai Waehner’s blog: “Apache Kafka Cluster Type Deployment Strategies”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

Apache Kafka — The De Facto Standard for Event-Driven Architectures and Data Streaming

Apache Kafka is an open-source, distributed event streaming platform designed for high-throughput, low-latency data processing. It allows you to publish, subscribe to, store, and process streams of records in real time.