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 Duration 16 hours

Course Outline

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

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

Module 2: Configuring the Zookeeper Quorum

  • Introduction to Zookeeper
  • The function of Zookeeper within a Kafka cluster
  • Determining Zookeeper quorum size
  • Zookeeper configuration parameters
  • 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 a Zookeeper quorum
  • Understanding the Zookeeper internal file system
  • Performance factors influencing Zookeeper
  • Demo: Managing Zookeeper with tools and Zoonavigator

Module 3: Configuring the Kafka Cluster

  • Fundamentals of Kafka
  • Configuring Kafka
  • Hands-on: Configuring Kafka on a single broker
  • Hands-on: Executing Kafka commands
  • Hands-on: Establishing 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
  • Setting up message ingestion and delivery via topics
  • Hands-on: Demonstrating Kafka resilience
  • Kafka performance: I/O, network, RAM, CPU, and OS considerations
  • Kafka performance: additional factors
  • Hands-on: Modifying broker configurations

Module 4: Advanced Kafka Configuration

  • Configuration of 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 (including Confluent Control Center and Elasticsearch)
  • Log files and offset management
  • High availability and disaster recovery
  • Achieving high availability through replication
  • Performance tuning for producers and consumers
  • Disaster recovery strategies
  • Failover control and data recovery
  • Connector setup
  • Implementing Kafka Connect
  • Kafka security features

Summary and Next Steps

Requirements

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

Target Audience

  • DevOps and Site Reliability Engineering (SRE) teams overseeing Kafka deployments
  • System administrators working with Confluent and Zookeeper
  • Kafka developers and architects accountable for scalable system design

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