Course Outline


  • Apache Kafka vs traditional message brokers

Overview of Kafka Features, Architecture, and Ecosystem

Running Apache Kafka On-premise vs in the Cloud.

Apache Kafka Standalone vs Cluster

Electing the Proper Architecture

Choosing an Apache Kafka Distribution

Installing and Configuring Apache Kafka

Setting up Zookeeper to Manage the Kafka Cluster

Configuring and Managing Brokers

Testing the Cluster

Advanced Kafka Configurations

Administering Kafka using Kafka Manager

Administering Kafka Using Third-Party Tools

Restarting the Cluster when Problems Arise

Optimizing Kafka for Better Performance

Deploying Kafka to Production


Summary and Conclusion


  • An understanding of distributed system concepts (clusters, etc.)
  • Experience with the Linux command line
  • A cloud provider account (AWS, etc.) in order to install to a cloud server.


  • System administrators
  • Architects
  • Developers tasked with administering a Kafka cluster
  21 Hours


Related Courses

Distributed Messaging with Apache Kafka

  14 hours

Samza for Stream Processing

  14 hours

Stream Processing with Kafka Streams

  7 hours

A Practical Introduction to Stream Processing

  21 hours

Building Kafka Solutions with Confluent

  14 hours

Building Data Pipelines with Apache Kafka

  7 hours

Microservices with Spring Cloud and Kafka

  21 hours

Apache Kafka Connect

  7 hours

Confluent KSQL

  7 hours

Security for Apache Kafka

  7 hours

SMACK Stack for Data Science

  14 hours

Apache Kafka for Python Programmers

  7 hours

Spark Streaming with Python and Kafka

  7 hours

Big Data Streaming for Developers

  14 hours

Apache Kafka for Developers

  21 hours