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Confluent Advanced Skills for Optimizing Apache Kafka® Version 6.0.0-v2.0.1

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  • June 19, 2023
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Confluent Advanced Skills for Optimizing Apache Kafka® Version 6.0.0-v2.0.1

  • 00:00:00
  • Downloadable resources available
  • Certificate of completion included
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Details

Language

English

Completion time

00:00:00

Product covered

Course Objectives

During this hands-on course, you will learn:

  • Industry best practices to monitor, troubleshoot and tune a real-time event streaming platform built with ApacheKafka®, to support your event-streaming applications
  • To utilize native tools, including ConfluentControl Center as well as third-party software tools

Hands-on Training

Hands-on exercises are included throughout the training to help reinforce the concepts being discussed.

Exercises include:

  • Monitoring Kafka brokers, ZooKeeper and Kafka clients via JMX and Confluent Control Center, as well as Prometheus and Grafana
  • Troubleshooting brokers, ZooKeeper, Producers, Consumers, Confluent ksqlDB applications, Kafka Streams applications and the Schema Registry, Tuning brokers, Producers, Consumers, Kafka Connect, ksqlDB and Kafka Streams, applications discussing production-down trouble shooting strategies
  • Calculating replication throttling rates
  • Evaluating partition strategies

Prerequisites

Attendees should have deep knowledge of and hands- on experience with Kafka. An understanding of additional components that contribute to a real-time event-streaming platform such as Kafka Connect, ksqlDB and Kafka Streams applications is also required.

Additionally it is suggested that students attend the recommended prerequisites:

  • Confluent Fundamentals for Apache Kafka®
  • Apache Kafka® Administration by Confluent”

Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.

Who Should Attend?

This course is designed for engineers, system administrators, and operations staff responsible for in-depth monitoring, tuning and troubleshooting an event-streaming plat- form powered by Kafka.