Inefficient Database Queries
Inefficient database queries can significantly impact system performance, especially in systems dealing with large datasets. Common issues include lack of proper indexing, unnecessary joins, and poorly optimized queries.
For Example:
A social media platform experiences slow load times for user profiles due to inefficient database queries. Retrieving user data requires multiple joins across large tables, resulting in high latency and degraded performance.
Prevention Strategy
- Optimize database schema and indexing strategies to improve query performance.
- Utilize database profiling tools to identify slow queries and optimize them accordingly.
- Consider denormalization or caching strategies to reduce the frequency of costly database operations.
- Regularly monitor database performance metrics and fine-tune as necessary.
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