Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Fundamentals of event streaming and real-time data processing
• Detailed overview of Apache Kafka and its key features
• Application of Kafka use cases and benefits in modern development

Kafka Architecture and Core Concepts

• Exploring Kafka architecture: brokers, topics, partitions, and replicas
• Producers and consumers: the mechanics of message publishing and consumption
• The role of ZooKeeper within the Kafka ecosystem

Managing Kafka Topics and Partitions

• Creating and configuring topics
• The significance of partitions and their impact on performance
• Achieving replication and fault tolerance in Kafka

Working with Kafka Producers

• Implementing Kafka producers across various programming languages
• Techniques for message serialization
• Optimal producer configurations and best practices

Working with Kafka Consumers

• Developing Kafka consumers using different programming languages
• Setting up consumer groups and managing offsets
• Strategies for message processing and ensuring delivery guarantees

External Integration via Kafka Connect

• Overview of Kafka Connect and its available connectors
• Configuration and utilization of Kafka Connect for data integration
• Methods for integrating Kafka with external systems

Streaming Applications with Kafka Streams & ksqlDB

• Introduction to Kafka Streams and its processing capabilities
• Building stream processing applications with Kafka Streams
• Leveraging ksqlDB for real-time data analytics and processing

Confluent Cloud Integration

• Features and overview of Confluent Cloud
• Configuring and connecting Kafka client applications to Confluent Cloud

Kafka Security

• Overview of Kafka security features
• Configuring SSL/TLS for secure communication
• Authentication and authorization mechanisms in Kafka

Monitoring and Operations

• Monitoring Kafka using metrics and operational tools
• Managing Kafka clusters and resource allocation
• Troubleshooting common issues and performance optimization

Best Practices and Real-world Scenarios

• Design best practices for Kafka-based applications
• Case studies and industry-specific Kafka implementation examples
• Guidelines for building scalable and fault-tolerant architectures

Summary and Next Steps