Apache Kafka for Programmers Training Course

Introduction

• General overview of Apache Kafka
• Foundations of event streaming and real-time data processing
• Detailed look at Apache Kafka and its key features
• Exploring use cases and the benefits of Kafka in modern application development

Kafka Architecture and Core Concepts

• Architectural components: 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

• Processes for topic creation and configuration
• Implications of partitioning strategies
• Achieving replication and fault-tolerance in Kafka

Building Kafka Producers

• Implementing Kafka producers across various programming languages
• Message serialization and effective serialization techniques
• Producer configuration settings and industry best practices

Building Kafka Consumers

• Developing Kafka consumers using different programming languages
• Setting up consumer groups and managing offsets
• Approaches to message processing and ensuring delivery guarantees

System Integration via Kafka Connect

• Understanding Kafka Connect and its available connectors
• Configuring and utilizing Kafka Connect for seamless data integration
• Practical steps for integrating Kafka with external systems

Creating Streaming Applications with Kafka Streams & ksqlDB

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

Cloud Integration with Confluent Cloud

• Overview of Confluent Cloud and its key features
• Steps to configure and connect a Kafka client application to Confluent Cloud

Kafka Security Measures

• Introduction to built-in Kafka security features
• Configuring SSL/TLS to ensure secure communication
• Implementing authentication and authorization mechanisms in Kafka

Monitoring and Operational Management

• Tracking Kafka health using metrics and monitoring tools
• Managing Kafka clusters and associated resources
• Troubleshooting common issues and optimizing performance

Best Practices and Industry Applications

• Best practices for the design of Kafka-based applications
• Case studies showcasing Kafka implementations across various industries
• Strategies for building scalable and fault-tolerant Kafka architectures

Summary and Future Directions