Apache Kafka for Programmers Training Course

Introduction

• Fundamentals of Apache Kafka
• Core concepts 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 Principles

• Architectural components: brokers, topics, partitions, and replicas
• Roles of producers and consumers in message handling
• The function of ZooKeeper within the Kafka ecosystem

Kafka Topics and Partitioning

• Methods for creating and configuring topics
• Implications of partitioning strategies
• Replication mechanisms for fault tolerance

Kafka Producers

• Implementing producers across various programming languages
• Techniques for message serialization
• Optimizing producer configurations and adhering to best practices

Kafka Consumers

• Building consumers using different programming languages
• Managing consumer groups and offset tracking
• Approaches to message processing and ensuring delivery guarantees

External System Integration via Kafka Connect

• Understanding Kafka Connect and its connector ecosystem
• Setting up Kafka Connect for seamless data integration
• Linking Kafka with third-party systems

Streaming Applications with Kafka Streams & ksqlDB

• Overview of Kafka Streams and its processing engine
• Building stream processing applications
• Leveraging ksqlDB for real-time analytics and processing

Confluent Cloud Integration

• Features and capabilities of Confluent Cloud
• Connecting client applications to the Confluent Cloud platform

Kafka Security

• Security features inherent to Kafka
• Implementing SSL/TLS for secure communication
• Authenticating and authorizing access in Kafka

Monitoring and Operations

• Tracking performance using metrics and monitoring tools
• Managing cluster resources and operations
• Resolving common issues and tuning performance

Best Practices and Industry Examples

• Design principles for robust Kafka-based applications
• Case studies of Kafka implementations across industries
• Architecting for scalability and resilience

Conclusion and Future Directions