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