Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Introduction to event streaming and real-time data processing
• Key features and capabilities of Apache Kafka
• Use cases and advantages of Kafka in modern application development

Kafka Architecture and Core Concepts

• Kafka architecture components: brokers, topics, partitions, and replicas
• Roles of producers and consumers in message publication and consumption
• The function of ZooKeeper within Kafka

Kafka Topics and Partitions

• Creating and configuring topics
• Understanding partitions and their impact on performance
• Replication mechanisms and fault tolerance in Kafka

Kafka Producers

• Implementing 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
• Strategies for message processing and delivery guarantees

Integrating External Systems with Kafka Connect

• Overview of Kafka Connect and its connector ecosystem
• Configuring and deploying Kafka Connect for data integration
• Connecting Kafka with third-party systems

Building Streaming Applications with Kafka Streams & ksqlDB

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

Integrating Kafka Clients with Confluent Cloud

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

Kafka Security

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

Monitoring and Operations

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

Best Practices and Real-World Scenarios

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

Summary and Next Steps