Apache Kafka for Developers Training Course

Introduction

• Overview of Apache Kafka
• Introduction to event streaming and real-time data processing
• Exploration of Apache Kafka's key features
• Use cases and advantages of Kafka in modern application development

Mastering Kafka Architecture and Core Concepts

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

Kafka Topics and Partitions

• Creating and configuring topics
• Implications of partitions and their management
• Replication and fault-tolerance mechanisms in Kafka

Kafka Producers

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

Kafka Consumers

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

Connecting Kafka with External Systems via Kafka Connect

• Introduction to Kafka Connect and its connector ecosystem
• Configuration and application of Kafka Connect for data integration
• Linking Kafka with third-party systems

Building Streaming Applications with Kafka Streams & ksqlDB

• Overview of Kafka Streams and its processing capabilities
• Creating stream processing applications using Kafka Streams
• Leveraging ksqlDB for real-time data analytics and processing

Connecting a Kafka Client Application to Confluent Cloud

• Key features and overview of Confluent Cloud
• Configuring and establishing connections between Kafka clients and Confluent Cloud

Kafka Security

• Fundamentals of Kafka security features
• Implementing SSL/TLS for secure communications
• Authentication and authorization protocols in Kafka

Monitoring and Operations

• Monitoring Kafka via metrics and specialized tools
• Administration of Kafka clusters and resource management
• Diagnosing common issues and optimizing performance

Best Practices and Real-World Applications

• Guidelines for designing robust Kafka-based applications
• Case studies illustrating Kafka implementations across various sectors
• Strategies for constructing scalable and resilient Kafka architectures

Summary and Next Steps