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 Duration 21 hours

Course Outline

Module 1: Foundational Overview of Confluent Apache Kafka Cluster Architecture and Configuration

  • The function of Apache Kafka within contemporary data pipeline infrastructure
  • Distinguishing characteristics between Apache Kafka and the Confluent distribution
  • Essential architectural elements: producers, consumers, brokers, topics, and partitions
  • Deployment strategies and scaling parameters for enterprise-grade Kafka clusters

Module 2: Configuration of the Zookeeper Quorum

  • Definition and purpose of Zookeeper in a distributed environment
  • The operational role of Zookeeper in coordinating the Kafka cluster
  • Determining the appropriate Zookeeper Quorum size
  • Best practices for Zookeeper configuration
  • Implementation of Secure Shell (SSH) protocols on target servers
  • Practical application: Configuring Zookeeper as a team and as a service
  • Utilizing the Zookeeper Command Line Interface (CLI)
  • Practical application: Setting up the Zookeeper Quorum
  • Structure of the Zookeeper internal file system
  • Performance factors influencing Zookeeper efficiency
  • Demonstration of Zookeeper management tools and Zoonavigator

Module 3: Configuration of the Kafka Cluster

  • Fundamental concepts of Apache Kafka
  • Standard Kafka configuration parameters
  • Practical application: Configuring Kafka brokers
  • Practical application: Executing essential Kafka commands
  • Practical application: Configuring a Multi-Broker Kafka Cluster
  • Practical application: Testing the stability of the Kafka cluster
  • Verifying connectivity to the Kafka cluster
  • Advertised.listeners configuration: Critical settings for network addressing
  • Optimization of topic-level settings
  • Configuration requirements for message ingestion and download
  • Practical application: Demonstrating Kafka resilience mechanisms
  • Kafka performance: Input/Output (I/O) optimization
  • Kafka performance: Network considerations (RED model)
  • Kafka performance: Memory (RAM) management
  • Kafka performance: Central Processing Unit (CPU) utilization
  • Kafka performance: Operating System (OS) tuning
  • Kafka performance: Additional efficiency factors
  • Practical application: Modifying Kafka broker configurations

Module 4: Advanced Configuration and Management of Kafka

  • Configuration of the Landoop Kafka topic interface, Confluent REST Proxy, and Confluent Schema Registry
  • Message transmission and reception methods via CLI, Java, and the Spring framework
  • Implementation of monitoring metrics and tools (e.g., Confluent Control Center, Elasticsearch)
  • Management of log files and consumer offsets
  • Strategies for high availability and disaster recovery
  • Maintaining high availability through data replication
  • Performance tuning for producers and consumers
  • Formulation of disaster recovery strategies
  • Control of failover processes and data recovery procedures
  • Configuration of Kafka Connect connectors
  • Implementation details for Kafka Connect
  • Integration of Kafka security features

Summary and Recommended Next Steps

Requirements

  • Working knowledge of distributed systems and messaging concepts
  • Proficiency with the Linux command line interface
  • Foundational understanding of networking protocols and system administration

Target Audience

  • System administrators
  • DevOps engineers
  • Platform and infrastructure teams

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