API Caching

How does API Caching work?

Application Programming Interfaces (APIs) enable the retrieval of data from a diverse range of web services. APIs are not only responsible for retrieving data but also for data mutation, making them inherently dynamic.

Considering web and mobile applications, many of the requests made to an endpoint are POST and GET requests (RESTful API). These requests are typically responded with a JSON or XML format response.

API caching involves storing the responses of API requests to eliminate the need to recompute or fetch the same data repeatedly.

Medianova’s Advanced API Caching

Medianova’s Advanced API Caching is designed to elevate the performance and security of APIs. It introduces a smart microcaching system tailored for REST and GraphQL, effectively handling large volumes of API requests. With Medianova API Caching, you can;

• cache your API responses, even for one second;

• offload login, database and data computing transactions to CDN and

• thereby reduce API requests’ latency.

Benefits of API Caching

Implementing API caching, provides faster response times, increased security, and enhanced overall API performance.

• Enhanced Security: Caching layers can act as a buffer against DDoS attacks, absorbing a significant portion of malicious traffic and protecting the origin server. Distributed API Caching structure does not get overwhelmed by such attacks due to the giant size of the platform
  

• Faster Response Times: Cached API responses can be served quickly without the need to generate the response from the origin server, leading to reduced latency and faster user experiences.
  

• Reduced Server Load: Caching responses at the edge or within a caching layer reduces the load on the origin server by serving precomputed or previously fetched responses.
  

• Reduced Database Load: By caching frequently requested data, API caching minimizes the need for repetitive database queries, reducing the load on the database server.
  

• Resilience to Traffic Spikes: Caching can absorb traffic spikes, providing a buffer against sudden surges in requests and ensuring more consistent availability of API services.