Apache Kafka for Programmers Training Course

Introduction

• Overview of Apache Kafka
• Introductory concepts in event streaming and real-time data processing
• Detailed look at Apache Kafka and its key features
• Applications and advantages of Kafka in modern software development

Grasping Kafka Architecture and Core Principles

• Kafka architecture components: brokers, topics, partitions, and replicas
• Producers and consumers: the process of publishing and consuming messages
• The function of ZooKeeper within Kafka

Kafka Topics and Partitioning

• Creating and configuring topics
• The impact of partitions and how they work
• Replication strategies and fault tolerance in Kafka

Kafka Producers

• Implementing Kafka producers across various programming languages
• Message serialization methods and techniques
• Producer configuration and recommended best practices

Kafka Consumers

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

Connecting Kafka to External Systems via Kafka Connect

• Overview of Kafka Connect and its available connectors
• Setup and utilization of Kafka Connect for data integration
• Methods for integrating Kafka with external systems

Creating Streaming Applications with Kafka Streams & ksqlDB

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

Integrating Kafka Client Applications with Confluent Cloud

• Overview of Confluent Cloud and its functionalities
• Configuration and connection of Kafka client applications to Confluent Cloud

Kafka Security

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

Monitoring and Operations

• Monitoring Kafka through metrics and specialized tools
• Management of Kafka clusters and resources
• Debugging common issues and optimizing performance

Best Practices and Real-World Applications

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

Summary and Next Steps