Data handling
Data handling is the cornerstone of building robust and user-friendly APIs. In this section, we will explore advanced data-handling techniques that address common challenges faced in real-world API development.
Ensuring that an API delivers reliable performance is crucial for several interconnected reasons, including enhancing user experience, enabling system scalability, optimizing resource efficiency, and influencing the success of the business behind API development.
A high-performing API must respond quickly and communicate clearly with clients. This means returning appropriate HTTP status codes (such as 200 for success or 404 for not found) along with descriptive messages that explain what happened. Low latency is crucial because users expect fast responses, and slow APIs can create system bottlenecks that frustrate users.
When APIs take too long to respond, they cause delays throughout the entire application. Modern systems often need real-time data...