What Google's "Microservices Are Dead" Paper Actually Said (And What It Missed About AI)
Google researchers Sanjay Ghemawat and Amin Vahdat published a paper discussing the limitations of microservices, and its implications on AI development. The paper highlights the need for a new approach to system design.

- Google researchers argue that microservices are no longer suitable for modern systems
- The paper proposes a new approach to system design, focusing on simplicity and flexibility
- The research has significant implications for the development of large-scale systems and the use of AI
The paper, presented at HotOS 2023, argues that microservices are no longer suitable for modern systems due to their complexity and scalability issues.
The authors propose a new approach to system design, focusing on simplicity and flexibility. However, the paper has been criticized for overlooking the role of AI in modern system design.
The research has significant implications for the development of large-scale systems, and the use of AI in these systems. It highlights the need for a more integrated approach to system design, taking into account the complexities of modern systems.
The paper's findings have sparked a debate in the industry, with some experts arguing that microservices are still relevant, while others see the need for a new approach. The discussion is ongoing, with many experts weighing in on the implications of the research.
Source: What Google's "Microservices Are Dead" Paper Actually Said (And What It Missed About AI). Read the full piece at the source.
may need to adapt to new system design approaches
may need to reassess their system architecture
highlights the evolving nature of system design and AI
Proposal: Use semantic compression as input diffusion to read sessions larger than the context window [R]
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