Absolutely! Here are 100 chapter titles for an Apache Kafka learning journey, progressing from beginner to advanced:
Part 1: Kafka Fundamentals (Beginner)
- Introduction to Apache Kafka: Concepts and Use Cases
- Understanding Publish-Subscribe Messaging
- Kafka Architecture: Topics, Partitions, and Brokers
- Installing and Setting Up Kafka Locally
- Basic Kafka CLI Commands: Topics and Partitions
- Producing Your First Kafka Message
- Consuming Your First Kafka Message
- Understanding Message Serialization and Deserialization
- Kafka Configuration: Core Broker Properties
- Kafka Producers: Basic Configuration
- Kafka Consumers: Basic Configuration
- Introduction to Kafka Connect
- Introduction to Kafka Streams
- Introduction to Kafka Security
- Basic Kafka Monitoring Tools
Part 2: Kafka Core Concepts (Intermediate)
- Kafka Topics: Creation, Configuration, and Management
- Kafka Partitions: Understanding and Managing Partitioning
- Kafka Brokers: Role and Responsibilities
- Kafka Zookeeper: Role in Cluster Coordination
- Kafka Replication: Ensuring Data Durability
- Kafka Producers: Advanced Configuration
- Kafka Consumers: Consumer Groups and Offsets
- Kafka Consumer Rebalancing
- Message Delivery Semantics: At-Least-Once, At-Most-Once, Exactly-Once
- Kafka Message Compression
- Kafka Message Batching
- Kafka Schema Registry: Avro and Protobuf
- Kafka Connect: Source and Sink Connectors
- Kafka Streams: Basic Stream Processing
- Kafka Security: Authentication and Authorization
- Kafka Monitoring: Metrics and Alerts
- Kafka Performance Tuning: Broker and Client
- Kafka Log Compaction
- Kafka MirrorMaker 2: Cross-Cluster Replication
Part 3: Kafka Connect Deep Dive (Intermediate/Advanced)
- Kafka Connect Architecture and Components
- Developing Custom Kafka Connectors
- Kafka Connect Transformations and Converters
- Kafka Connect REST API
- Kafka Connect Distributed Mode
- Kafka Connect Error Handling
- Kafka Connect Monitoring and Metrics
- Kafka Connect Best Practices
Part 4: Kafka Streams Deep Dive (Intermediate/Advanced)
- Kafka Streams Architecture and Topology
- Kafka Streams DSL and Processor API
- Kafka Streams State Stores
- Kafka Streams Windowing and Aggregations
- Kafka Streams Joins and Co-partitioning
- Kafka Streams Fault Tolerance and Scalability
- Kafka Streams Testing and Debugging
- Kafka Streams Deployment and Monitoring
- Kafka Streams Best Practices
Part 5: Advanced Kafka Topics and Cluster Management (Advanced)
- Kafka Topic Configuration: Advanced Settings
- Kafka Partition Management: Reassignment and Expansion
- Kafka Broker Configuration: Advanced Tuning
- Kafka Zookeeper Management: Best Practices
- Kafka Cluster Security: Kerberos and SSL
- Kafka Cluster Monitoring: Advanced Metrics and Tools
- Kafka Cluster Upgrades and Maintenance
- Kafka Cluster Scaling and Capacity Planning
- Kafka Cluster Disaster Recovery
- Kafka Rack Awareness
- Kafka Tiered Storage
Part 6: Kafka Producers and Consumers Advanced (Advanced)
- Kafka Producer Interceptors
- Kafka Consumer Interceptors
- Kafka Producer Idempotence and Transactions
- Kafka Consumer Transactions
- Kafka Consumer Lag Monitoring and Management
- Kafka Consumer Seek and Replay
- Kafka Consumer Error Handling and Retry Strategies
- Kafka Producer Performance Optimization
Part 7: Kafka Security and Governance (Advanced)
- Kafka Access Control Lists (ACLs)
- Kafka Encryption: TLS and SASL
- Kafka Audit Logging
- Kafka Data Governance and Compliance
- Kafka Security Best Practices
Part 8: Kafka Ecosystem and Integration (Advanced)
- Kafka with Apache Spark
- Kafka with Apache Flink
- Kafka with Apache NiFi
- Kafka with Kubernetes
- Kafka with Cloud Platforms (AWS, Azure, GCP)
- Kafka with Databases (e.g., PostgreSQL, MySQL)
- Kafka with Message Queues (e.g., RabbitMQ)
- Kafka with Monitoring Tools (Prometheus, Grafana)
- Kafka with Logging Systems (ELK Stack)
- Kafka with Data Warehouses (Snowflake, BigQuery)
Part 9: Kafka Real-World Applications and Best Practices (Advanced)
- Designing Event-Driven Architectures with Kafka
- Building Real-Time Data Pipelines with Kafka
- Kafka for Log Aggregation and Monitoring
- Kafka for Stream Processing Applications
- Kafka for Microservices Communication
- Kafka for Internet of Things (IoT) Data Ingestion
- Kafka for Fraud Detection and Real-Time Analytics
- Kafka for Clickstream Analysis and User Behavior Tracking
- Kafka for Financial Transactions and Payment Processing
- Kafka for Data Streaming in Machine Learning Pipelines
- Kafka Best Practices for High Throughput and Low Latency
- Kafka Best Practices for Data Durability and Reliability
- Kafka Troubleshooting and Debugging Techniques
- Kafka Performance Tuning for Specific Use Cases
- Kafka Future Trends and Roadmap
This comprehensive list will help you build a strong foundation and develop advanced skills in Apache Kafka.