Monitoring, Streams, and Connectors

Overview

Want to be sure your Kafka pipelines are running at top performance? This Kafka Monitoring, Streams, and Connectors course teaches you how to design, monitor, and manage real-time data systems with precision. The course is designed for learners with Kafka and Java/Scala expertise. It covers broker, producer, and consumer metrics, latency monitoring, quota enforcement, and alarm configuration using JMX and Prometheus. You'll learn about Kafka Streams' architecture, including stateful and stateless transformations, K-Stream/K-Table joins, windowing, and exactly-once semantics. You will also learn how to deploy Kafka Connect, configure source/sink connectors, interact with single message transformations (SMTs), and manage connectors using the Kafka Connect REST API. This Apache Kafka course teaches stream monitoring and integration from start to finish with demos, videos, readings, and evaluations. By the end of this course, you'll be able to create and monitor high-throughput Kafka pipelines. Enroll now to gain real-time data expertise.

Syllabus

Kafka Monitoring and Schema Registry

This module covers the fundamentals of Kafka monitoring and Kafka schema registry. At the end of this, learners will be able to set up monitoring solutions for Kafka clusters and track component health efficiently.

Kafka Streams and Kafka Connectors

In this module, learners will explore Kafka Stream architecture, DSL, operations, and processor topology, as well as Kafka Connectors configuration and deployment. By the end of this module, learners will be able to build streaming data pipelines with Kafka Streams and integrate data seamlessly using Kafka Connectors.