Apache Kafka Series - Kafka Cluster Setup and Administration

Hands-On Training on ZooKeeper Quorum Setup, Kafka Cluster Setup, and Administration in AWS.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. This course reveals exactly how your Kafka cluster on multiple machines should be set up and configured. We will start with understanding the Kafka basics, cluster size and the configuration. We will also have hands-on learning on the AWS set up, single broker set up, multi broker set up, testing the cluster, Kafka manager (cluster management), demonstrating Kafka resiliency and so on. We will enlighten you on Kafka performance with respect to I/Os, network, RAM, CPU, OS (Operating System) and so on. Includes 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.Style and ApproachIn this course, we will cover what ZooKeeper is, its architecture, its role in Apache Kafka, and the setup, installation, and configuration on multiple machines!What You Will LearnSetup a Zookeeper and Kafka cluster on three machines in AWSLearn how to deploy Kafka in Production and understand the target architecture for clusters in AWSSetup ZooKeeper Cluster, learn its role for Kafka and usageSetup Kafka in Cluster-Mode with 3 brokers, including configuration, usage and maintenanceShutdown and Recover Kafka brokers, to overcome the common Kafka broker problemsConfigure Kafka Cluster with production settings and optimizations for better performances based on your workloadSetup web administration tools using Docker: ZooNavigator, Kafka Manager, Confluent Schema Registry, Confluent REST Proxy, Landoop Kafka Topics UIAdminister Kafka using Kafka Manager

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