Apache Kafka for Programmers Training Course

Introduction

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

Exploring Kafka Architecture and Core Principles

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

Managing Kafka Topics and Partitions

• Creating and configuring topics
• The impact of partitions on data distribution
• Replication strategies and fault tolerance in Kafka

Implementing Kafka Producers

• Building producers using various programming languages
• Message serialization methods and techniques
• Producer configuration and recommended best practices

Building Kafka Consumers

• Creating consumers across different programming languages
• Setting up consumer groups and managing offsets
• Approaches to message processing and ensuring delivery guarantees

Connecting Kafka to External Systems with Kafka Connect

• Understanding Kafka Connect and its connector framework
• Setting up and utilizing Kafka Connect for data integration
• Seamless integration of Kafka with third-party systems

Creating Streaming Applications with Kafka Streams and ksqlDB

• Introduction to Kafka Streams and its processing power
• Developing stream processing applications
• Leveraging ksqlDB for real-time analytics and data processing

Integrating Kafka Clients with Confluent Cloud

• Overview of Confluent Cloud capabilities
• Configuring and connecting Kafka clients to Confluent Cloud

Securing Kafka

• Introduction to Kafka security features
• Configuring SSL/TLS for secure communication channels
• Authentication and authorization mechanisms in Kafka

Monitoring and Operational Management

• Monitoring Kafka performance using metrics and tools
• Managing clusters and optimizing resources
• Debugging common issues and performance tuning strategies

Best Practices and Real-World Applications

• Design principles for robust Kafka-based applications
• Industry case studies and implementation examples
• Strategies for building scalable and fault-tolerant architectures

Conclusion and Future Steps