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 Duration 21 hours

Course Outline

Module 1: An introduction to the architecture and configuration of Confluent Apache Kafka clusters

  • The role of Kafka in modern data pipelines
  • Key distinctions between Apache Kafka and Confluent Kafka
  • Core elements: producers, consumers, brokers, topics, and partitions
  • Deployment models for Kafka clusters and scaling considerations

Module 2: Configuring Zookeeper Quorums

  • An overview of Zookeeper
  • The specific role of Zookeeper within a Kafka cluster
  • Determining Zookeeper Quorum size
  • Managing Zookeeper configuration
  • Implementing SSH on servers
  • Practical exercise: Configuring Zookeeper (both as a team and as a service)
  • Utilising the Zookeeper Command Line Interface (CLI)
  • Practical exercise: Configuring a Zookeeper Quorum
  • Understanding the Zookeeper internal file system
  • Performance factors that impact Zookeeper
  • Demonstration of management tools for Zookeeper and Zoonavigator

Module 3: Configuring the Kafka Cluster

  • Fundamental Kafka concepts
  • General Kafka configuration settings
  • Practical exercise: Configuring Kafka brokers
  • Practical exercise: Executing Kafka commands
  • Practical exercise: Setting up a Kafka Multi-Broker Cluster
  • Practical exercise: Testing the Kafka cluster
  • Verifying connectivity to the Kafka cluster
  • The Advertised.listeners configuration: a critical setting
  • Topic-specific configurations
  • Settings for downloading and ingesting messages within topics
  • Practical exercise: Demonstrating Kafka resilience
  • Kafka performance: Input/Output (I/O)
  • Kafka performance: Network (RED)
  • Kafka performance: RAM
  • Kafka performance: CPU
  • Kafka performance: Operating System (OS)
  • Kafka performance: Other factors
  • Practical exercise: Modifying Kafka broker configuration

Module 4: Advanced Kafka Configuration

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

Summary and Next Steps

Requirements

  • Proficiency in distributed systems and messaging concepts
  • Practical experience with the Linux command line
  • A foundational grasp of networking and system administration

Intended Audience

  • System administrators
  • DevOps engineers
  • Platform and infrastructure teams

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  • Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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