Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Introduction to event streaming and real-time data processing
• Detailed overview of Apache Kafka and its core features
• Practical use cases and benefits of Kafka in modern application development

Understanding Kafka Architecture and Core Concepts

• Kafka architecture: brokers, topics, partitions, and replicas
• Producers and consumers: publishing and consuming messages
• The role of ZooKeeper in Kafka infrastructure

Kafka Topics and Partitions

• Creating and configuring topics
• Understanding partitions and their operational implications
• Replication strategies and fault-tolerance mechanisms in Kafka

Kafka Producers

• Implementing Kafka producers using various programming languages
• Message serialization methods and techniques
• Producer configurations and industry best practices

Kafka Consumers

• Developing Kafka consumers across different programming languages
• Configuring consumer groups and managing offsets
• Message processing strategies and delivery guarantee mechanisms

Integrating Kafka with External Systems using Kafka Connect

• Overview of Kafka Connect and its connector framework
• Configuring and utilizing Kafka Connect for data integration tasks
• Establishing integrations between Kafka and external systems

Writing Streaming Applications with Kafka Streams & ksqlDB

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

Integrating a Kafka Client Application with Confluent Cloud

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

Kafka Security

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

Monitoring and Operations

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

Best Practices and Real-world Use Cases

• Best practices for designing robust Kafka-based applications
• Case studies and examples of Kafka implementations across various industries
• Strategies for building scalable and fault-tolerant Kafka architectures

Summary and Next Steps