Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Introduction to event streaming and real-time data processing
• Detailed look at Apache Kafka features
• Key use cases and advantages of Kafka in modern app development

Understanding Kafka Architecture and Core Concepts

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

Kafka Topics and Partitions

• Creating and configuring topics
• Implications of partitions
• Replication strategies and fault-tolerance mechanisms

Kafka Producers

• Building Kafka producers in various programming languages
• Message serialization methods and techniques
• Producer configuration and best practices

Kafka Consumers

• Developing Kafka consumers across different programming languages
• Setting up consumer groups and managing offsets
• Message processing strategies and delivery guarantees

Integrating Kafka with External Systems using Kafka Connect

• Overview of Kafka Connect and its connector framework
• Configuring and utilizing Kafka Connect for data integration
• Connecting Kafka to external data sources

Writing 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 analytics and processing

Integrating a Kafka Client Application with Confluent Cloud

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

Kafka Security

• Introduction to Kafka security mechanisms
• Setting up SSL/TLS for secure communication
• Authentication and authorization protocols in Kafka

Monitoring and Operations

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

Best Practices and Real-world Use Cases

• Best practices for architecting Kafka-based solutions
• Industry case studies and implementation examples
• Strategies for building scalable and fault-tolerant architectures

Summary and Next Steps