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This blog dives deep into Kafka Connect clusters, unraveling their structure, scaling strategies, and task management processes. Whether you're designing a high-availability system, troubleshooting task distribution, or scaling your pipeline for performance, this article provides a comprehensive look at how Kafka Connect clusters operate.

For years, Zookeeper has been integral to Kafka deployments as a reliable metadata management system. However, with its limitations and Kafka’s evolution through KIP-500, the shift to KRaft—a self-managed metadata quorum—marks a new era. This transition is critical as Zookeeper’s deprecation accelerates, with its removal planned in Kafka 4.0. Adapting now ensures your Kafka clusters remain future-ready and efficient.

Norsk Helsenett (NHN) is revolutionizing Norway's fragmented healthcare landscape with a scalable Kafka ecosystem. Bridging 17,000 organizations ensures secure, efficient communication across hospitals, municipalities, and care providers.

Apache Kafka has become a central component of modern data architectures, enabling real-time data streaming and integration across distributed systems. Within Kafka’s ecosystem, Kafka Connect plays a crucial role as a powerful framework designed for seamlessly moving data between Kafka and external systems. Kafka Connect provides a standardized, scalable approach to data integration, removing the need for complex custom scripts or applications. For architects, product owners, and senior engineers, Kafka Connect is essential to understand because it simplifies data pipelines and supports low-latency, fault-tolerant data flow across platforms. But what exactly is Kafka Connect, and how can it benefit your architecture?

Apache Kafka is a powerful platform for handling real-time data streaming, often used in systems that follow the Publish-Subscribe (Pub-Sub) model. In Pub-Sub, producers send messages (data) that consumers receive, enabling asynchronous communication between services. Kafka’s Pub-Sub model is designed for high throughput, reliability, and scalability, making it a preferred choice for applications needing to process massive volumes of data efficiently. Central to this functionality are topics and partitions—essential elements that organize and distribute messages across Kafka. But what exactly are topics and partitions, and why are they so important?

Strimzi Kafka offers an efficient solution for deploying and managing Apache Kafka on Kubernetes, making it easier to handle Kafka clusters within a Kubernetes environment. In this article, we'll guide you through opening a shell on a Kafka broker pod in Kubernetes and listing all the topics in your Kafka cluster using an SSL-based connection.