Monitoring, Streams, and Connectors
About this course
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.
75/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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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
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