In the previous article, we intuitively learned about the S3 protocol through packet capturing. This article will take a further step on this basis, using Go language and Gin framework to write a simple object storage service compatible with the S3 protocol based on the local file system from scratch, in order to deepen our understanding of the protocol details.
"Large-Scale Distributed Storage Systems: Principles and Architecture in Practice" is a professional book that provides an in-depth introduction to distributed storage technology, systematically explaining the core principles, key technologies, and practical experiences of distributed storage systems. The book covers core concepts such as the theoretical foundation of distributed storage, consistency models, data sharding, replica management, and fault handling, and analyzes the storage system architectures of companies like Google, Amazon, and Facebook through real industrial cases. This book not only helps to deeply understand the essence and design philosophy of distributed storage but also provides practical architectural guidance and best practices for building highly available and high-performance large-scale storage systems.
In 2006, Amazon launched the object storage service Amazon Simple Storage Service, abbreviated as Amazon S3. After years of development, the S3 protocol has become the de facto standard for object storage, and subsequent object storage services have varying degrees of compatibility with the S3 API. The widespread compatibility allows for the rich community software of Amazon S3, such as client tools, cloud storage tools, SDKs, etc., to be directly used across different data storage services. Therefore, learning the S3 protocol is essential for understanding object storage services. This article will introduce how to intuitively learn the S3 protocol through packet capturing.
This article introduces the principles of data synchronization based on MySQL Binlog, details the MySQL client-server protocol mechanism and Binlog event processing flow, providing technical foundation for building data synchronization systems.
The best time to plant a tree was ten years ago. The second best time is now.
