Real-Time Data Pipelines with Apache Kafka and Flink
Chapter 1: Stream Processing Architectures and Semantics
Evolution of Distributed Logs
Lambda versus Kappa Architecture
Processing Guarantees and Semantics
Event Time versus Processing Time
Hands-on Practical: Designing a Kappa Pipeline
Chapter 2: Advanced Kafka Producer and Consumer Internals
Replication Protocols and ISRs
Idempotent Producers and Transactions
Custom Partitioning Strategies
Consumer Group Rebalancing protocols
Hands-on Practical: Implementing Transactional Writes
Chapter 3: Flink State Management and Checkpointing
State Backends: HashMap versus RocksDB
Asynchronous Barrier Snapshots
Incremental Checkpointing
State Schema Evolution
Hands-on Practical: State Migration with Savepoints
Chapter 4: Advanced Windowing and Time Attributes
Watermark Generation Strategies
Handling Late Data and Side Outputs
Custom Window Triggers and Evictors
Session Windows and Gap Analysis
Hands-on Practical: Building a Custom Trigger
Chapter 5: Low-Level Operations with ProcessFunctions
The ProcessFunction Hierarchy
Timer Services and Event Scheduling
Broadcast State Pattern
Async I/O for External Lookups
Hands-on Practical: Dynamic Rule Evaluation
Chapter 6: Production Deployment and Reliability
Serialization with Avro and Protobuf
Schema Registry Integration
Kafka Connect for Sink and Source
Failure Recovery Strategies
Hands-on Practical: Schema Evolution in Flight
Chapter 7: Performance Tuning and Monitoring
Identifying Backpressure
Memory Management and Slot Allocation
Tuning RocksDB Performance
Kafka Consumer Lag Analysis
Hands-on Practical: Resolving Skewed Data
Chapter 8: Real-Time AI and Feature Engineering
Online Feature Generation
Model Serving Patterns in Streams
Request-Response over Async Streams
Feature Store Integration
Hands-on Practical: Real-Time Inference Pipeline
Asynchronous Barrier Snapshots
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- Distributed Snapshots: Determining Global States of Distributed Systems, K. M. Chandy and L. Lamport, 1985 ACM Transactions on Computer Systems (TOCS), Vol. 3 (ACM) DOI: 10.1145/214451.214456 - Foundational paper introducing the Chandy-Lamport algorithm for consistent global state snapshots in distributed systems.
- Lightweight Asynchronous Snapshots for Distributed Dataflow, Stephan Ewen, Kostas Tzoumas, Fabian Hueske, and Robert Metzger, 2015 Proceedings of the VLDB Endowment, Vol. 8 (VLDB Endowment) - Original research paper introducing the asynchronous barrier snapshot mechanism as implemented in Apache Flink.
- Checkpointing, The Apache Flink Community, 2024 - Official documentation describing Flink's checkpointing mechanism, including barriers, alignment, and unaligned checkpoints.
- Stream Processing with Apache Flink: Fundamentals, StreamSQL, and Table API, Fabian Hueske, Vasiliki Kalavri, 2019 (O'Reilly Media) - Authoritative book by Flink creators covering state management and checkpointing in detail.
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