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How to improve database performance and scalability?

Enhance performance and scalability using database scaling strategies like indexing, vertical scaling, sharding, denormalization, caching, and replication. Join the DZone community and get the full member experience. As applications grow in complexity and user base, the demands on their underlying databases increase significantly. ...

How can DZone improve performance and scalability?

Opinions expressed by DZone contributors are their own. Enhance performance and scalability using database scaling strategies like indexing, vertical scaling, sharding, denormalization, caching, and replication. ...

Does vertical scaling improve database performance?

Vertical scaling is an effective solution for improving database performance in the short term, especially for applications that are not yet experiencing massive growth. However, it's important to recognize its limitations. ...

Why is database scaling important?

Scaling databases is essential as application workloads grow, ensuring they maintain performance and reliability under increased demand. Let’s look at the primary scaling approaches for databases in more detail: Vertical scaling involves upgrading the hardware of a single database server to handle more load. ...

Why is latency important?

Latency is critical for real-time applications where user experience depends on quick responses. For example, in a messaging app, if the latency for fetching new messages exceeds a few milliseconds, users might experience unacceptable delays in chat updates. ...

What is horizontal scaling & how does it work?

Horizontal scaling, often referred to as "scaling out," involves distributing your database across multiple servers to manage larger datasets and higher traffic. Unlike vertical scaling, where you improve a single server's capacity, horizontal scaling adds more servers to handle the load. ...