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Course Outline

Module 1: Confluent Apache Kafka Architecture and Cluster Configuration Fundamentals

  • Overview of Apache Kafka and the Confluent Platform
  • Core concepts: 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
  • Cluster architecture: brokers, partitions, and replication

Module 2: Configuring Zookeeper Quorum

  • Introduction to Zookeeper
  • Zookeeper’s function within a Kafka cluster
  • Determining Zookeeper quorum size
  • Zookeeper configuration settings
  • Implementing SSH on our 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
  • Zookeeper’s internal file system structure
  • Performance factors impacting Zookeeper
  • Demo: Zookeeper management tools and Zoonavigator

Module 3: Configuring Kafka Clusters

  • Foundations of Kafka
  • Configuring Kafka
  • 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 a Kafka cluster
  • Verifying connectivity to your Kafka cluster
  • Configuring Advertised.listeners: key settings
  • Topic configuration
  • Establishing message ingestion and delivery in 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)
  • Monitoring and metrics tools (Confluent Control Center, Elasticsearch, etc.)
  • Managing log files and offsets
  • High availability and disaster recovery
  • Ensuring high availability through replication
  • Performance tuning for producers and consumers
  • Disaster recovery strategies
  • Failover control and data recovery processes
  • Setting up connectors
  • Implementing Kafka Connect
  • Kafka security features

Summary and Next Steps

Requirements

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

Target Audience

  • DevOps and SRE teams overseeing Kafka deployments
  • System administrators working with Confluent and Zookeeper
  • Kafka developers and architects tasked with building scalable systems
 16 Hours

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