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Volatility-Based Decomposition: A System Design Example
- In system design, following rules and eventually bending them is key to expertise.
- Volatility-based decomposition is explored in this article to illustrate its benefits over functional decomposition.
- Functional decomposition can lead to flaws like clients taking on business logic responsibilities, creating maintenance and scalability issues.
- Volatility-based decomposition considers aspects like user volatility, client application needs, security procedures, notifications, storage, connections, trade items, workflows, and market feed sources.
- Identifying volatilities allows for component decomposition, ensuring flexibility and adaptability in the design.
- Components like Data Access, Storage, Notification Utility, Trade Workflow, Analysis Workflows, Feed Access, and Clients play vital roles in a volatile-based trading system design.
- Decomposing systems based on volatility reduces coupling between services and enables easier adaptation to changes and new requirements.
- The article emphasizes the importance of breaking systems based on volatility rather than function and introduces new rules to follow while designing systems.
- Readers are encouraged to follow future articles for more in-depth discussions on system design principles and volatility-driven decomposition.
- Understanding and applying volatility-based decomposition principles can lead to more robust and scalable system designs.
- Stay tuned for more insights into effective system design practices in upcoming articles.
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