Over-Reliance on Synchronous Communication
In systems where synchronous communication is heavily relied upon, each request must be completed before the next one begins. This can lead to performance degradation, especially in scenarios where multiple requests are made simultaneously, causing bottlenecks and increased latency.
For Example:
Consider an e-commerce platform where every order processing step is synchronous. If a customer places an order requiring multiple steps such as inventory check, payment processing, and order confirmation, the system will process these steps one after another, potentially leading to delays during peak traffic periods.
Prevention Strategy
- Implement asynchronous communication where possible, allowing tasks to be processed concurrently.
- Utilize message queues or event-driven architecture to decouple components and enable parallel processing.
- Additionally, optimize critical paths and consider asynchronous patterns such as futures/promises to improve responsiveness.
What are Performance Anti-Patterns in System Design
While designing systems, it’s important to ensure they run smoothly and quickly. But sometimes, even though we try to make things efficient, we make mistakes that slow things down. This article talks about these mistakes how they can mess up a system and what measures we can take to prevent and fix them from happening.
Important Topics for Performance Anti-Patterns in System Design
- Importance of Understanding Performance Anti-Patterns in System Design
- Common Performance Anti-Patterns
- Over-Reliance on Synchronous Communication
- Monolithic Architecture
- Inefficient Database Queries
- Inadequate Caching Strategies
- Nosy Neighbour
- Strategies for Identifying and Avoiding Performance Anti-Patterns
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