Confluent Operations Training for Apache Kafka

Confluent Operations Training for Apache Kafka

In this three-day hands-on course you will learn how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka experts.

You will learn how Kafka and the Confluent Platform work, their main subsystems, how they interact, and how to set up, manage, monitor, and tune your cluster.

Hands-On Training

Throughout the course, hands-on exercises reinforce the topics being discussed. Exercises include:

  • Cluster installation
  • Basic cluster operations
  • Viewing and interpreting cluster metrics
  • Recovering from a Broker failure
  • Performance-tuning the cluster
  • Securing the cluster

This course is designed for engineers, system administrators, and operations staff responsible for building, managing, monitoring, and tuning Kafka clusters.

Course Prerequisites

Attendees should have a strong knowledge of Linux/Unix, and understand basic TCP/IP networking concepts. Familiarity with the Java Virtual Machine (JVM) is helpful. Prior knowledge of Kafka is helpful, but is not required.



Course Contents


The Motivation for Apache Kafka

  • Systems Complexity

  • Real-Time Processing is Becoming Prevalent

  • Kafka: A Stream Data Platform

    Kafka Fundamentals

  • An Overview of Kafka

  • Kafka Producers

  • Kafka Brokers

  • Kafka Consumers

  • Kafka’s Use of ZooKeeper

  • Comparisons with Traditional Message Queues

    Providing Durability

  • Basic Replication Concepts

  • Durability Through Intra-Cluster Replication

  • Writing Data to Kafka Reliably

  • Broker Shutdown and Failures

  • Controllers in the Cluster

  • The Kafka Log Files

  • Offset Management

    Designing for High Availability

  • Kafka Reference Architecture* Brokers

  • ZooKeeper

  • Connect

  • Schema Registry

  • REST Proxy

  • Multiple Data Centers

    Managing a Kafka Cluster

  • Installing and Running Kafka

  • Monitoring Kafka

  • Basic Cluster Management

  • Log Retention and Compaction

  • An Elastic Cluster

    Optimizing Kafka Performance

  • Producer Performance

  • Broker Performance

  • Broker Failures and Recovery Time

  • Load Balancing Consumption

  • Consumption Performance

  • Performance Testing

    Kafka Security

  • SSL for Encryption and Authentication

  • SASL for Authentication* Data at Rest Encryption

  • Securing ZooKeeper and the REST Proxy

  • Migration to a Secure Cluster

    Integrating Systems with Kafka Connect

  • The Motivation for Kafka Connect

  • Types of Connectors

  • Kafka Connect Implementation

  • Standalone and Distributed Modes

  • Configuring the Connectors

  • Deployment Considerations

  • Comparison with Other Systems

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