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.
What you'll learn
understand broker, producer, and consumer metrics
perform latency monitoring and enforce quotas
configure alarms using JMX and Prometheus
apply stateful and stateless transformations in Kafka Streams
execute K-Stream/K-Table joins and windowing
implement exactly-once semantics
deploy and configure Kafka Connect
manage connectors with the Kafka Connect REST API
Course objectives
enable learners to design high-performance Kafka pipelines
develop skills in real-time data system management