Kafka Streams syllabus

1. Introduction to Kafka Streams

• Overview of Kafka Streams
• Key Concepts and Terminology
• Use Cases and Benefits of Kafka Streams
• Comparison with Other Stream Processing Frameworks

2. Kafka Streams Architecture

• Architecture Components
  • Stream Processor
  • State Stores
• Processor Topology and DAG (Directed Acyclic Graph)
• Kafka Streams Threads and Tasks
• Integration with Kafka
  • Brokers
  • Topics
  • Partitions

3. Streams and Tables in Kafka Streams

• Understanding Streams vs. Tables
• Time Semantics
  • Event-Time vs. Processing-Time
• Windowing and Session Windows

4. Stateful Processing

• Introduction to State Stores
• Types of State Stores
  • In-Memory
  • Persistent
• Fault Tolerance and State Restoration
• Handling Out-of-Order Events

5. Kafka Streams DSL (Domain Specific Language)

• Overview of DSL Operations
• Transformations
  • Map
  • FlatMap
  • Filter
• Aggregations
  • Count
  • Reduce
  • Aggregate
• Joins
  • Inner Join
  • Outer Join
  • Left Join

6. Processor API

• Low-Level API for Fine-Grained Stream Processing
• Processor Topology and Custom Processors
• Integration with External Systems

7. Time Handling and Windowing

• Windowed Operations
  • Tumbling Windows
  • Hopping Windows
  • Sliding Windows
• Event-Time Processing
• Handling Late Data and Watermarks

8. Fault Tolerance and Exactly-Once Semantics

• Kafka's Transactional Guarantees
• Configuring Kafka Streams Applications for Fault Tolerance
• Exactly-Once Processing Semantics

9. Testing and Debugging Kafka Streams Applications

• Unit Testing and Integration Testing
• Monitoring and Debugging Techniques
• Using Kafka Connect for Data Integration

Advanced Topics

1. Advanced Stream Processing Concepts

• Exactly-Once Semantics
  • Understanding Kafka Transactional Guarantees
  • Implementing Exactly-Once Processing Patterns
  • Handling Idempotency and Transactional State
• State Stores Optimization
  • Advanced State Store Configurations (e.g., RocksDB Settings)
  • Caching Strategies for Improving Performance
  • State Store Scaling and Partitioning
• Interactive Queries
  • Implementing Interactive Queries for Real-Time Access
  • Caching Strategies and Query Optimization
  • Building Interactive Applications Using State Stores

2. Advanced DSL Operations

• Custom Processors and Transformers
  • Implementing Custom Processor APIs
  • Handling Complex Transformations and Aggregations
  • Integrating External Systems and APIs
• Global KTables
  • Use Cases and Benefits of Global Tables
  • Implementing Global KTables for Global Lookups
  • Managing Global State and Consistency

3. Scaling and Fault Tolerance

• Scaling Kafka Streams Applications
  • Horizontal Scaling Strategies
  • Partitioning and Repartitioning Topics
  • Load Balancing and Elasticity
• Handling State Restarts
  • Techniques for Efficient State Recovery
  • State Migration Strategies
  • Reducing Downtime During Application Upgrades

4. Performance Optimization

• Optimizing Kafka Configurations
  • Tuning Kafka and Kafka Streams Parameters
  • Configuring Buffer Sizes and Timeouts
  • Network Optimizations and Throughput Tuning
• Serialization and Deserialization
  • Custom Serdes Implementation
  • Efficient Data Serialization Techniques (e.g., Avro, Protobuf)
  • Schema Evolution and Compatibility
• Monitoring and Metrics
  • Utilizing Kafka Streams Metrics
  • Monitoring Application Performance
  • Implementing Custom Monitoring Solutions

5. Deployment Strategies

• Cloud Deployment
  • Deploying Kafka Streams on Cloud Platforms (AWS, Azure, GCP)
  • Kubernetes Deployment Strategies
  • Containerization and Orchestration
• Integration Patterns
  • Best Practices for Integrating Kafka Streams with Other Systems (Databases, Microservices)
  • Building Resilient and Fault-Tolerant Pipelines
  • Data Consistency and Transactional Integrity

6. Advanced Topics and Use Cases

• Real-Time Analytics and Machine Learning Integration
  • Building Real-Time Analytics Pipelines
  • Integrating Machine Learning Models with Kafka Streams
  • Handling Complex Event Processing (CEP)
• Security and Authentication
  • Securing Kafka Streams Applications
  • Integration with Authentication Systems (OAuth, JWT)
  • Role-Based Access Control (RBAC)