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 Duration 16 hours

Course Outline

Module 1: Introduction to Confluent Apache Kafka Architecture and Cluster Configuration

  • Overview of Apache Kafka and the Confluent Platform
  • Core concepts of Kafka brokers, producers, consumers, and topics
  • The function of Kafka in data streaming and messaging pipelines
  • Confluent extensions: REST Proxy, Schema Registry, and Control Center
  • Kafka cluster architecture: brokers, partitions, and replication

Module 2: Zookeeper Quorum Configuration

  • Introduction to Zookeeper
  • The role of Zookeeper within a Kafka cluster
  • Determining Zookeeper quorum size
  • Zookeeper configuration procedures
  • Implementing SSH on servers
  • Hands-on: Configuring Zookeeper (as a team and as a service)
  • Utilizing the Zookeeper Command Line Interface (CLI)
  • Hands-on: Setting up Zookeeper quorum
  • Understanding Zookeeper's internal file system
  • Performance factors impacting Zookeeper
  • Demo: Managing Zookeeper with tools and Zoonavigator

Module 3: Kafka Cluster Configuration

  • Foundations of Kafka
  • Kafka configuration settings
  • Hands-on: Configuring Kafka on a single broker
  • Hands-on: Running Kafka commands
  • Hands-on: Setting up a Kafka multi-broker (cluster) environment
  • Hands-on: Testing the Kafka cluster
  • Verifying connectivity to the Kafka cluster
  • Configuring Advertised.listeners: key settings
  • Topic configuration details
  • Establishing message ingestion and delivery within topics
  • Hands-on: Demonstrating Kafka resilience
  • Kafka performance: I/O, network, RAM, CPU, and OS considerations
  • Kafka performance: additional influencing factors
  • Hands-on: Modifying broker configurations

Module 4: Advanced Kafka Configuration

  • Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry
  • Sending and receiving messages (via CLI, Java, and Spring Framework)
  • Metrics and monitoring tools (such as Confluent Control Center and Elasticsearch)
  • Managing log files and offsets
  • High availability and disaster recovery principles
  • Achieving high availability through replication
  • Performance tuning for producers and consumers
  • Implementing disaster recovery strategies
  • Controlling failover and recovering data
  • Setting up connectors
  • Implementing Kafka Connect
  • Kafka security features

Summary and Next Steps

Requirements

  • Practical experience with Linux-based systems and command-line utilities
  • Familiarity with distributed systems principles
  • Knowledge of fundamental networking and system configuration

Audience

  • DevOps and SRE teams overseeing Kafka deployments
  • System administrators managing Confluent and Zookeeper infrastructure
  • Kafka developers and architects responsible for scalable system design

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