In this comprehensive exploration of backend architecture evolution, we delve into insights from leading Chinese technology experts Zhang Lei, Head of Database Technology at Toutiao, and Zhang Huan, Architect at KeShell FindHouse. Their combined experience provides a unique perspective on the transformation of backend systems from the 1970s to the present day. The Foundation Years (1970s-1990s) The early development of backend architecture was primarily driven by enterprise needs, as Zhang Lei explains: “In the late 1970s and 1980s, hardware and economics dominated the industry....

During my twenty-plus years at CSDN, I’ve had the privilege of witnessing firsthand the birth, development, and popularization of numerous technologies. Throughout this journey, I’ve had the fortune to meet many technical experts, some of whom were direct participants in shaping these technologies. Particularly in internet technology development, Chinese technical experts have been keeping pace with global trends. The Path of a Programmer Every programmer, during their development journey, often chooses a specific technical path and delves deep into it to become a technical expert....

The journey of database technology is a fascinating story of continuous evolution, driven by changing business needs and technological advancements. In this three-part series, we’ll explore the transformative journey of database technology, from its humble beginnings to its current state and future prospects. The Foundation Years (1970s) The modern database era began in 1970 with Dr. Edgar F. Codd’s seminal paper on relational databases. This groundbreaking work laid the theoretical foundation for how we organize and manage data, introducing concepts that remain fundamental to this day....

In the final part of our database technology series, we explore the cutting-edge developments shaping the future of databases, particularly the integration of artificial intelligence and the emergence of vector databases. The AI Revolution in Databases Artificial Intelligence is transforming database technology in several fundamental ways: 1. Natural Language Interaction Conversational database queries Automated SQL generation Intelligent query optimization Natural language results 2. Automated Management Self-tuning systems Predictive maintenance Automated scaling Intelligent resource allocation 3....