A Crash Course in Database Scaling Strategies
Databases form the backbone of modern application development. They play a vital role in storing, managing, and retrieving data, enabling applications and services to function effectively.
As applications gain popularity and attract a growing user base, databases face the challenge of handling ever-increasing data volumes, concurrent users, and complex queries.
It becomes critical to scale databases effectively to ensure optimal performance and a good user experience.
Database scaling is the process of adapting and expanding the database infrastructure to accommodate growth and maintain performance under increased load. It involves employing various techniques and strategies to distribute data efficiently, optimize query execution, and utilize hardware resources judiciously.
Organizations and developers must understand and implement the right database scaling strategy. Choosing the wrong strategies for a particular situation can result in more harm than good.
In this post, we will cover the most popular database scaling strategies in detail, discussing their benefits and trade-offs.
Indexing
Indexing is one of the foundational techniques to enhance the scalability and performance of databases.
