Administration of Confluent Apache Kafka Training Course

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

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

Module 2: Zookeeper Quorum Configuration

• Understanding Zookeeper
• The role of Zookeeper within a Kafka cluster
• Determining Zookeeper Quorum size
• Zookeeper configuration best practices
• Implementing SSH on servers
• Practical exercise: Configuring Zookeeper as a team and as a service
• Utilizing the Zookeeper Command Line Interface (CLI)
• Practical exercise: Setting up the Zookeeper Quorum
• Overview of the Zookeeper internal file system
• Performance factors influencing Zookeeper
• Demonstration of management tools for Zookeeper and Zoonavigator

Module 3: Kafka Cluster Configuration

• Fundamental Kafka concepts
• General Kafka configuration
• Practical exercise: Configuring Kafka brokers
• Practical exercise: Executing Kafka commands
• Practical exercise: Configuring a Multi-Broker Kafka Cluster
• Practical exercise: Testing Kafka clusters
• Verifying connectivity to your Kafka cluster
• Advertised.listeners configuration: A critical setting
• Topic configuration
• Configuring message downloading and ingestion into topics
• Practical exercise: Demonstrating Kafka resilience
• Kafka performance: I/O operations
• 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 (including Confluent Control Center, Elasticsearch, and more)
• Managing log files and offsets
• High availability and disaster recovery strategies
• Achieving high availability through replication
• Optimizing producer and consumer performance
• Disaster recovery planning
• Failover control and data recovery
• Connector configuration
• Implementing Kafka Connect
• Kafka security features

Summary and Next Steps