Administration of Confluent Apache Kafka Training Course

Module 1: Introduction to Confluent Apache Kafka Architecture and Configuration

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

Module 2: Configuring Zookeeper Quorum

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

Module 3: Kafka Cluster Configuration

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

Module 4: Advanced Kafka Configuration

• Configuring Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
• Sending and receiving messages via CLI, Java, and the Spring framework
• Monitoring metrics and tools (e.g., Confluent Control Center, Elasticsearch)
• Managing log files and offsets
• High availability and disaster recovery strategies
• Achieving high availability through replication
• Optimizing producer and consumer performance
• Disaster recovery methodologies
• Failover control and data recovery
• Connector configuration
• Implementing Kafka Connect
• Kafka security features

Summary and Next Steps