However, API-driven development (ADD) is not as easy as it sounds over time.
Using a distributed database alongside a fully distributed application allows you to keep your data close to your application, ensuring that latency doesn’t affect performance.
Services like Apache Cassandra are specifically built for handling distributed data, making it easier to scale.
Even so, scaling up distributed database environments so that it can meet the needs of your application is a challenge.
By thinking about where your approaches to infrastructure and APIs overlap, you can make the best of both.

Comments to: Scaling API-driven development can be difficult — here’s how to nail it

Your email address will not be published. Required fields are marked *

Attach images - Only PNG, JPG, JPEG and GIF are supported.


Welcome to Typer

Brief and amiable onboarding is the first thing a new user sees in the theme.
Join Typer
Registration is closed.