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Performance Optimization & Caching
Performance optimization is essential for building scalable applications. This blog explores: Optimizing database queries for performance Caching strategies (Write-Through, Write-Back, Write-Around) Redis vs. Memcached Handling high-throughput API requests Bloom Filters and their use cases 1. Optimizing Database Queries for Performance A slow database can cripple application performance. Here are techniques to optimize queries: 1.1 Use Indexing Efficiently Indexes improve lookup speed but come with storage and maintenance overhead. Primary Index: Automatically created on the primary key. Composite Index: Created on multiple columns to optimize complex queries. Covering Index: Helps avoid unnecessary row lookups.
Performance optimization is essential for building scalable applications. This blog explores:
- Optimizing database queries for performance
- Caching strategies (Write-Through, Write-Back, Write-Around)
- Redis vs. Memcached
- Handling high-throughput API requests
- Bloom Filters and their use cases
1. Optimizing Database Queries for Performance
A slow database can cripple application performance. Here are techniques to optimize queries:
1.1 Use Indexing Efficiently
Indexes improve lookup speed but come with storage and maintenance overhead.
- Primary Index: Automatically created on the primary key.
- Composite Index: Created on multiple columns to optimize complex queries.
- Covering Index: Helps avoid unnecessary row lookups.
