Monolithic Architecture
In a monolithic architecture, all components of the system are tightly integrated into a single unit. This can hinder scalability and maintainability, as changes or updates to one component may affect the entire system, leading to performance issues.
For Example:
An enterprise application with a monolithic architecture experiences slow response times during peak usage periods. As the user base grows, the monolithic structure struggles to scale efficiently, resulting in resource contention and degraded performance.
Prevention Strategy
- Transition to a microservices architecture, breaking down the system into smaller, independently deployable services.
- This allows for better scalability and fault isolation. Employ containerization technologies like Docker and orchestration tools like Kubernetes to manage microservices efficiently.
- Additionally, adopt continuous integration and continuous deployment (CI/CD) practices to streamline development and deployment processes.
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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