Amazon platform has developed from the earliest online shopping platform to the present, leading the global e-commerce platform, not only because of the trust given by customers, but more importantly, they have formed their own technical system architecture framework. So what is the technical framework of the Amazon platform?
Amazon has more than 200 million consumer accounts and has cooperating retailers on various platforms around the world, so it has built a gradually mature technical system framework. A page built requires more than 150 access services. Such a technical framework has changed greatly during the development process. The Amazon product technical framework has evolved from a single structure at the beginning to a distributed structure and a centralized system service structure. The ultimate goal is to give consumers a better service experience.
The Amazon platform has always focused its main efforts on the database of the backend server. Databases like this can store more commodity data, platform sales data, and provide data analysis and order data analysis for customers. After the content in this aspect reaches saturation, the Amazon platform will divide many different data categories, and each data category will establish a separate service interface, so that different platform frameworks are different.
The database in the background of Amazon is also a shared data resource. Today’s data system has added some additional operating systems, making the originally loose system architecture more rigorous. These service system technical frameworks are built around service technology, which can form the seller’s structural system more quickly and complete many functions quickly and independently.
Amazon’s unique technical framework has hundreds of service systems, forming a complete service framework. This framework is loaded with a huge functional system to support the daily activities between sellers and customers, so that the Amazon platform can proceed in an orderly manner. The Amazon platform has established a variety of service communities, and the data in the community is shared by the platform. These data are fed back to the Amazon database through the background. After analysis, the platform can provide customers with accurate product recommendations.