Course Outline

Module 1: Introduction to the architecture and configuration of the Confluent Apache Kafka cluster

  • Kafka's role in modern data pipelines
  • Differences between Apache Kafka and Confluent Kafka
  • Core components: producers, consumers, brokers, topics, partitions
  • Kafka cluster deployment models and scaling considerations

Module 2: Zookeeper Quorum Configuration

  • What is Zookeeper?
  • Zookeeper’s role in a Kafka cluster
  • Zookeeper Quorum size
  • Zookeeper configuration
  • Implementing SSH on our servers
  • Practical: Zookeeper configuration (as a team and as a service)
  • Using the Zookeeper Command Line Interface (CLI)
  • Practical: Zookeeper Quorum configuration
  • Zookeeper internal file system
  • Performance factors affecting Zookeeper
  • Demonstration of management tools for Zookeeper and Zoonavigator

Module 3: Kafka Cluster Configuration

  • Basic Kafka concepts
  • Kafka configuration
  • Practical: Kafka broker configuration
  • Practical: Executing Kafka commands
  • Practical: Kafka Multi-Broker Cluster configuration
  • Practical: Kafka cluster testing
  • Can I connect to my Kafka cluster?
  • Advertised.listeners configuration: most important setting
  • Topic configuration
  • Configuration for downloading and ingesting messages in topics
  • Practical: Demonstrating Kafka resilience
  • Kafka performance: I/O
  • Kafka performance: Network (RED)
  • Kafka performance: RAM
  • Kafka performance: CPU
  • Kafka performance: Operating System (OS)
  • Kafka performance: Others
  • Practical: How to change Kafka broker configuration

Module 4: Advanced Kafka Configuration

  • Landoop Kafka topic user interface, Confluent REST Proxy, Confluent Schema Registry configuration
  • Sending and receiving messages (CLI, Java, and Spring framework)
  • Monitoring metrics and tools (Confluent Control Center, Elasticsearch, etc.)
  • Log files and offset management
  • High availability and disaster recovery
  • Ensuring high availability through replication
  • Tuning producer and consumer performance
  • Disaster recovery strategies
  • Failover control and data recovery
  • Connector configuration
  • Kafka Connect implementation
  • Kafka security features

Summary and Next Steps

Requirements

  • Familiarity with distributed systems and messaging concepts
  • Experience with the Linux command line
  • Basic understanding of networking and system administration

Audience

  • System administrators
  • DevOps engineers
  • Platform and infrastructure teams
 21 Hours

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