Day 32 of #100daysofcodechallenge:Exploring Rate Limiting and Caching

During my exploration of rate limiting and caching, I learned that rate limiting is crucial for preventing users from being selfish and hogging access to resources. It ensures that everyone has a fair chance to use the API without one user overwhelming the system. This was an eye-opener for me, as I realized how important it is to create a balanced environment for all users.

As part of my mini-project, I built a blog API that utilizes Redis for caching frequently accessed posts. This experience not only deepened my understanding of how caching can improve performance but also highlighted the importance of implementing rate limiting to protect the API. Overall, it was a valuable lesson in creating a more efficient and user-friendly application.

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