Scalability and Performance
Building systems that are intended to manage increasing workloads or vast amounts of data requires careful consideration of scalability and performance. System designers should take into account both horizontal scaling (adding more instances or nodes) and vertical scaling (raising the resources of a single node) to accomplish scalability. The workload can also be distributed and system responsiveness increased by using strategies like load balancing, caching, and asynchronous processing. To achieve optimum performance, it’s critical to spot possible bottlenecks early in the design phase and execute the necessary optimizations.
Design Principles in System Design
Design Principles in System Design are a set of considerations that form the basis of any good System. But the question now arises why use Design Principles in System Design? Design Principles help teams with decision-making, and is a multi-disciplinary field that involves trade-off analysis, balancing conflicting needs, and making decisions about design choices that will impact the overall system.
Some of the most common Design Principles in System Design are:
- Separation of Concerns
- Encapsulation and Abstraction
- Loose Coupling and High Cohesion
- Scalability and Performance
- Resilience to Fault Tolerance
- Security and Privacy
Let us explain each design principle to get a better understanding of the same as follows:
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