Flink & Stream Processing
Stateful stream processing framework for real-time analytics, event-driven applications, and exactly-once processing guarantees at scale.
This technology guide is part of the full calibration library.
Staff interviews are decided on nuance — tradeoff framing, ownership boundaries, and failure anticipation. This technology guide covers the depth that separates Senior from Staff+.
What's inside this technology guide
Practice & Reference
- •Why This Matters
- •The 60-Second Pitch
- •Why Stream Processing
- •Flink Architecture
- •Core Abstractions
- •Exactly-Once Semantics — Checkpointing
- •State Backends
- •Flink vs Spark Streaming vs Kafka Streams
- •Scaling — Parallelism & Rescaling
- •Failure Modes & Recovery
- •Operational Concerns
- •Interview Application — Staff-Level Plays
- •In the Wild
- •Practice Drill
- •Quick Reference Card