Essential Kafka Core Concepts – A Comprehensive Cheat Sheet (PDF Included)

Kafka characteristics

Kafka provides system decoupling, redundant storage, traffic shaping, buffering, asynchronous communication, scalability, recoverability, strong message ordering guarantees, and replay of consumed messages.

Study notes

Two resources are compiled: a 34‑page illustrated guide and a collection of interview questions.

Basic topics

Why use a messaging system

Kafka fundamentals

Kafka architecture

Reasons for Kafka’s high performance

Data reliability in Kafka

Intermediate topics

Internal topics and their purposes

Preferred replicas and their special role

Partition assignment concepts and processes

Log directory structure and index files

Offset and timestamp lookup mechanisms

Log retention and log compaction

Underlying storage design

Delayed operations principles

Controller responsibilities

Design flaws of the old Scala consumer client

Consumer‑group rebalance principles (coordinator roles)

ISR evolution with multiple replicas

Reliability improvements (HW, LEO evolution)

Why Kafka does not support read/write separation

Implementation of delayed queues

Dead‑letter and retry queue implementation

Message auditing and tracing

Lag calculation and key monitoring metrics

Design factors that give Kafka high performance

Advanced topics

Transaction implementation in Kafka

Definition and mitigation of failed replicas

HW and LEO evolution across replicas

Reliability enhancements (HW, leader epoch)

Reasons for lack of read/write separation

Delayed queue mechanisms

Dead‑letter and retry queue designs

Message audit and trace techniques

Lag computation details

Key metrics to focus on

Design factors behind Kafka’s high throughput

Code example

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