Comprehensive Distributed Architecture Topics: Load Balancing, Message Queues, Microservices, Redis Cache, Idempotency, Distributed ID, SSO, Database Sharding and More

This article compiles a comprehensive series of distributed architecture topics drawn from the author's experience at Alibaba, aiming to provide a systematic knowledge base for developers.

Load Balancing : Explains the necessity of load balancing for large‑scale websites, its mechanisms, algorithms, classifications, and practical applications, emphasizing how it improves system performance, reliability, and scalability.

Load balancing principles and mechanisms

Balancing algorithms

Balancing classifications

Balancing applications

Message Queues (MQ) : Details the role of message queues in high‑concurrency systems, their asynchronous decoupling benefits, and typical use cases such as Alibaba's Double‑11 peak traffic. The article outlines MQ principles, core concepts, architecture, point‑to‑point and publish‑subscribe models, and four major application scenarios.

MQ principle implementation

Core concepts of MQ

MQ architecture design

Point‑to‑point model

Publish‑subscribe model

Four major MQ application scenarios

Microservices : Introduces microservice architecture as a necessary evolution for large websites, describing its principles, patterns, components, and design considerations.

Microservice architecture principles

Microservice patterns

Microservice components

Microservice design

Redis Cache Challenges : Discusses five major Redis problems—cache avalanche, cache penetration, cache concurrency, cache pre‑heating, and cache degradation—and provides corresponding solutions.

Cache avalanche solutions

Cache pre‑heating solutions

Cache penetration solutions

Cache degradation solutions

Distributed Idempotency : Explains the importance of idempotency in distributed systems, especially in payment scenarios, and presents four common idempotency schemes such as unique identifier checks, database unique keys with optimistic locking, and anti‑repeat tokens.

Idempotent interface design

Idempotent solutions

Unique identifier + idempotent detection

Database unique primary key + optimistic lock

Anti‑repeat token

Distributed ID Generation : Reviews five widely used distributed ID algorithms—UUID, Redis unique ID, Zookeeper unique ID, Snowflake algorithm, etc.—highlighting their role in ensuring global uniqueness for data in large‑scale systems.

UUID

Redis unique ID

Zookeeper unique ID

Snowflake algorithm ID

Single Sign‑On (SSO) : Describes SSO concepts, benefits, and common implementation schemes, using Alibaba’s ecosystem as an example.

Database Sharding : Defines database sharding, its benefits for performance, scalability, and reliability, and outlines six principles and step‑by‑step procedures for vertical and horizontal splitting, as well as database and table partitioning.

Vertical splitting steps

Horizontal splitting steps

Database/table partitioning steps

Six sharding principles

RocketMQ Architecture : Provides an in‑depth overview of Apache RocketMQ, its core components, architecture, key features, and typical application scenarios within Alibaba’s business lines.

RocketMQ core components

RocketMQ architecture design

RocketMQ key features

RocketMQ application scenarios

Seckill System Design (Double‑11) : Analyzes the high‑concurrency challenges of Alibaba’s Double‑11 flash‑sale, covering distributed architecture, CDN acceleration, load balancing, rate limiting, pre‑heating, degradation, and both front‑end and back‑end design considerations.

Distributed architecture

CDN acceleration

Load balancing

Rate limiting and anti‑scraping

Pre‑heating and degradation

Front‑end design

Back‑end design

Database layer solutions

The article concludes by inviting readers to obtain the full distributed architecture documentation via WeChat, emphasizing the practical value of mastering these topics for large‑scale system design.