Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Foundations of event streaming and real-time data processing
• Key features and capabilities of Apache Kafka
• Applications and advantages of Kafka in modern development

Kafka Architecture and Core Concepts

• Architecture breakdown: brokers, topics, partitions, and replicas
• Roles of producers and consumers in message publishing and consumption
• The function of ZooKeeper within the Kafka ecosystem

Kafka Topics and Partitions

• Creating and configuring topics
• Implications and mechanics of partitioning
• Replication strategies and fault tolerance in Kafka

Kafka Producers

• Building producers across various programming languages
• Techniques for message serialization
• Producer configuration and recommended best practices

Kafka Consumers

• Developing consumers in diverse programming languages
• Managing consumer groups and offsets
• Strategies for message processing and delivery guarantees

External System Integration via Kafka Connect

• Overview of Kafka Connect and available connectors
• Setup and usage of Kafka Connect for data integration
• Connecting Kafka with external data sources and sinks

Streaming Applications with Kafka Streams & ksqlDB

• Introduction to Kafka Streams and its processing capabilities
• Developing stream processing logic with Kafka Streams
• Leveraging ksqlDB for real-time analytics and processing

Confluent Cloud Integration

• Overview of Confluent Cloud features
• Configuring and connecting Kafka client applications to Confluent Cloud

Kafka Security

• Introduction to Kafka security mechanisms
• Implementing SSL/TLS for secure communications
• Authentication and authorization workflows in Kafka

Monitoring and Operations

• Monitoring Kafka performance via metrics and tools
• Managing cluster resources and operations
• Troubleshooting common issues and performance optimization

Best Practices and Real-world Applications

• Design patterns and best practices for Kafka-based systems
• Industry case studies and implementation examples
• Strategies for building scalable, fault-tolerant architectures

Summary and Future Steps