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 features
• Use cases and advantages of Kafka in modern application development

Understanding Kafka Architecture and Core Concepts

• Kafka architecture: brokers, topics, partitions, and replicas
• Producers and consumers: mechanisms for publishing and consuming messages
• The role of ZooKeeper within the Kafka ecosystem

Kafka Topics and Partitions

• Creation and configuration of topics
• Comprehending partitions and their operational implications
• Replication strategies and fault tolerance in Kafka

Kafka Producers

• Creating Kafka producers across various programming languages
• Message serialization and applicable techniques
• Optimizing producer configurations and adhering to best practices

Kafka Consumers

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

Integrating Kafka with External Systems using Kafka Connect

• Overview of Kafka Connect and its connector framework
• Configuring and deploying Kafka Connect for seamless data integration
• Linking Kafka with various 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 and its key features
• Configuring and connecting a Kafka client application to Confluent Cloud

Kafka Security

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

Monitoring and Operations

• Monitoring Kafka using metrics and specialized tools
• Managing Kafka clusters and allocated resources
• Troubleshooting common issues and optimizing performance

Best Practices and Real-world Use Cases

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

Summary and Next Steps