Change Data Capture (CDC) via Log Tailing

Captures row-level database changes by reading the database replication log (PostgreSQL WAL or MySQL Binlog) and streaming events to Kafka in real time.

STAFF ENGINEER TAKEAWAY: Zero application query polling overhead: intercepts changes directly at the storage engine replication layer.

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Unlock Change Data Capture (CDC) via Log Tailing & All 150+ Visual Architecture Deep Dives

This advanced distributed system deep-dive includes interactive packet visualizers, state machine transitions, and FAANG interview trade-off blueprints.

More Topics in 5. Messaging & Events

📬Message Queues (PTP Asynchronous Buffering)

Point-to-point asynchronous buffers where producer services enqueue jobs, and competing consumer workers process tasks at their own decoupled pace.

📢Publish/Subscribe Event Streaming

Publishers broadcast events to topics without knowing who the subscribers are. Multiple independent consumer groups read from the same topic simultaneously.

⚡Event-Driven Architecture (EDA)

Systems coordinate state changes through state-change notifications and events rather than synchronous request/reply HTTP/RPC calls.

📐Domain-Driven Design (DDD) & Bounded Contexts

Divides large software domains into discrete logical boundaries where ubiquitous language and domain models are strictly defined and isolated.