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 Duration 21 hours

Course Outline

Module 1: Introduction to the architecture and setup of Confluent Apache Kafka clusters

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

Module 2: Setting up Zookeeper Quorum

  • An overview of Zookeeper
  • The function of Zookeeper within a Kafka cluster
  • Determining Zookeeper Quorum size
  • Zookeeper setup and configuration
  • Implementing SSH on servers
  • Practical exercise: Configuring Zookeeper (as a team and service)
  • Utilizing the Zookeeper Command Line Interface (CLI)
  • Practical exercise: Configuring the Zookeeper Quorum
  • The internal file system of Zookeeper
  • Performance considerations impacting Zookeeper
  • Demonstration of management tools for Zookeeper and Zoonavigator

Module 3: Configuring Kafka Clusters

  • Fundamental Kafka concepts
  • Kafka configuration practices
  • Practical exercise: Configuring Kafka brokers
  • Practical exercise: Running Kafka commands
  • Practical exercise: Setting up a Multi-Broker Kafka Cluster
  • Practical exercise: Testing Kafka clusters
  • Verifying connectivity to the Kafka cluster
  • Advertised.listeners configuration: a critical setting
  • Topic configuration specifics
  • Setup for downloading and ingesting topic messages
  • Practical exercise: Illustrating Kafka resilience
  • Kafka performance: I/O operations
  • Kafka performance: Network (RED)
  • Kafka performance: RAM utilization
  • Kafka performance: CPU usage
  • Kafka performance: Operating System (OS) factors
  • Kafka performance: Other considerations
  • Practical exercise: Modifying Kafka broker configurations

Module 4: Advanced Kafka Configuration

  • Configuring the Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
  • Message transmission and reception (via CLI, Java, and Spring framework)
  • Monitoring metrics and tools (e.g., Confluent Control Center, Elasticsearch)
  • Managing log files and offsets
  • High availability and disaster recovery mechanisms
  • Achieving high availability through replication
  • Optimizing producer and consumer performance
  • Disaster recovery strategies
  • Failover management and data restoration
  • Connector setup
  • Implementing Kafka Connect
  • Enhancing Kafka security features

Recap and Future Directions

Requirements

  • A working knowledge of distributed systems and messaging paradigms
  • Proficiency with the Linux command line
  • Foundational understanding of networking and system administration

Target Audience

  • System administrators
  • DevOps engineers
  • Platform and infrastructure teams

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  • Customized 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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