Kafka Cluster Setup & Administration

Hands-On Training on ZooKeeper Quorum Setup, Kafka Cluster Setup and Administration in AWS.

Author: Stephane Maarek

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DESCRIPTION

Attention all struggling System Administrators, Architects or even Developers! Here is course on how to set up and deploy Apache Kafka in Cluster mode.

Do you want to learn how to setup a Kafka Cluster on multiple servers and stop struggling with it?

Do you want to understand all the steps to perform a Kafka setup and Kafka Deployment in Production?

Have you been trying endlessly to deploy a Kafka Cluster, but haven’t had any luck?

If you have answered YES, then you are at the right place.

Learn from Stephane Maarek, the Best-Selling Instructor on Udemy in Apache Kafka and Big Data!

This course is designed for System Administrators, Architects and Developers. It includes a step by step guide for installing a ZooKeeper Quorum and a Kafka Cluster. Hands-on training on Kafka Administration is also provided.

This course has Amazon Web Services for our cloud environment, which is used by many companies around the world. AWS Knowledge is a pre-requisite.

In this course, we will cover what ZooKeeper is, its architecture, its role in Apache Kafka, and the setup, installation and configuration on multiple machines!

This course reveals exactly how your Kafka Cluster on multiple machines should be setup and configured. We will start with understanding the Kafka basics, cluster size and the configuration. We will also have a hands-on learning on AWS Setup, Single Broker Setup, Multi Broker Setup, Testing the Cluster, Kafka Manager (Cluster Management), Demonstrating Kafka Resiliency etc. We will enlighten you on Kafka Performance with respect to I/Os, Network, RAM, CPU, OS (Operating System) etc. You will have hands on learning on how to run Kafka in Production on AWS, how to change a Kafka Broker Configuration and we will also cover the Advanced Kafka Configurations.

Why I should take this course?

• With over 4 hours of videos and around 50 classes, you will get a great understanding of how to deploy Kafka in production and you will understand the target architecture for clusters in AWS.
• You will learn what ZooKeeper? is, it’s role for Kafka, How to setup ZooKeeper? and its usage.
• You will have a complete understanding Kafka setup including setup, configuration, usage and maintenance etc.
• You will have a Kafka broker shutdown and recovery demonstration, which will help you to understand how to overcome the Kafka broker problems.
• You will learn Kafka production settings and how to optimise settings for better performance.
• You will learn all the required tool setups such as ZooNavigator, Kafka Manager, Confluent Schema Registry, Confluent REST
• Proxy, Landoop Kafka Topics UI.

WHO IS THIS COURSE FOR:

• System Administrators or Architects, who would like to learn or setup a Kafka Cluster on multiple servers.
• Developers who want to understand the inner depth of a Kafka setup.
• This course is designed for expert students and should not be taken until all the pre-requisites are met.

REQUIREMENTS

• Strong knowledge on Computers, Servers and Networking
• Strong knowledge of Linux commands, we will use Ubuntu 16.04
• Good knowledge of AWS, we will use it as our cloud provider
• Good knowledge of Apache Kafka
• An AWS account and a budget to setup the required machines for the course

WHAT WILL YOU LEARN

1. Setup a Zookeeper and Kafka cluster on three machines in AWS
2. Learn how to deploy Kafka in Production and understand the target architecture for clusters in AWS
3. Setup ZooKeeper Cluster, learn its role for Kafka and usage
4. Setup Kafka in Cluster Mode with 3 brokers, including configuration, usage and maintenance
5. Shutdown and Recover Kafka brokers, to overcome the common Kafka broker problems
6. Configure Kafka Cluster with production settings and optimisations for better performances based on your workload
7. Setup web administration tools using Docker: ZooNavigator, Kafka Manager, Confluent Schema Registry, Confluent REST Proxy, Landoop Kafka Topics UI
8. Administer Kafka using Kafka Manager