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Confluent Advanced Skills for Optimizing Apache Kafka®

Learn how to monitor, troubleshoot, and tune a real-time event streaming platform built with Kafka.
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Duration

3 Days

Level

Advanced Level

Design and Tailor this course

Official Course and Labs

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During this hands-on course, you will learn:

  • Industry best practices to monitor, troubleshoot and tune a real-time event streaming platform built with Apache Kafka®, to support your event-streaming applications
  • To utilize native tools, including Confluent Control Center as well as third-party software tools
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This course is designed for engineers, system administrators, and operations staff responsible for in-depth monitoring, tuning and troubleshooting an event-streaming platform powered by Kafka.

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This intensive hands-on course will cover the monitoring, troubleshooting, and tuning of the major
components of Apache Kafka® and Confluent Platform environments including:

  • Brokers
  • Producers
  • Consumers
  • Apache ZooKeeper
  • Kafka Streams
  • Kafka Connect
  • Confluent KSQL
  • Confluent Schema Registry

Will include:

  • Determining Business Needs and SLAs
  • Monitoring using JMX Metrics
  • Monitoring with Confluent Control Center and third-party tools
  • Recommending Troubleshooting Strategies
  • Using Kafka Troubleshooting tools
  • Analyzing Kafka Log Files
  • Performing a Troubleshooting Post-mortem Analysis

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 troubleshooting strategies
  • Calculating replication throttling rates
  • Evaluating partition strategies
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Attendees should have deep knowledge of and handson 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.
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Apache, Apache Kafka, Apache Spark, Apache Trino, Apache Iceberg, Apache Hive, Kafka, Spark, Trino, Iceberg, Hive, and other associated open-source project names are the Apache Software Foundation trademarks. Starburst, Starburst Data, Starburst Enterprise, and Starburst Galaxy are registered trademarks of Starburst Data, Inc. All rights reserved. DataCouch is not affiliated with, endorsed by, or otherwise associated with the Apache Software Foundation (ASF) or any of its projects.

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