My Recent, Backend Problem

The recent backend problem I faced was about implementing caching into my application.

The step I followed in sloving the caching problem.

Firstly, identifying cacheable Data: Thatis determine which data is frequently accessed and can benefit from caching, how often the data changes and how critical it is to have the latest information. Examples include user profiles, product listings, configuration settings, and static content.
Choosing a caching strategy: There are different caching strategy inwhich to choose from example include, Cache-Aside (Lazy Loading), Write-Through, Write-Behind (Write-Back) etc but the one am comfortable using was Lazy loading. Lazy loading is a performance optimization technique where data is loaded into the cache only when it's needed, postponing retrieval until the first request.
Selecting a Caching Solution: I go with Redis for caching solution because Redis caching works by storing data in the form of key-value pairs in memory, which makes it an efficient way to store and access frequently-used data. Redis also supports data structures and atomic operations, which makes it an ideal choice for complex data structures.
Implement Caching: I implement Cache-Aside with Redis with node js application

About Myself

Am FIkayo Ogundijo, a student from Yaba college of Technology Yaba Lagos, a backend developer who i looking for more knowledge and experience on the server side and business logic and am here to increase my understanding about the dynamic nature of the technology as a whole.

https://hng.tech/internship, https://hng.tech/hire you can alo learn more about the program.