Why your .NET 8 API needs a cache layer — and how to build it right with Redis/Valkey and tag invalidation
The article discusses the importance of implementing a cache layer in .NET 8 APIs to improve performance and reduce database load. It explains the cache-aside pattern and the challenges of cache invalidation, proposing a tag-based invalidation approach for better efficiency. Additionally, it addresses how to handle Redis outages effectively to maintain API functionality.
- ▪Caching is essential for APIs to avoid repeated database queries, especially under high traffic.
- ▪The cache-aside pattern involves checking Redis for cached data before querying the database.
- ▪Tag-based invalidation allows for efficient cache management by invalidating multiple entries associated with a tag.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3922223) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } fenixkit Posted on May 17 Why your .NET 8 API needs a cache layer — and how to build it right with Redis/Valkey and tag invalidation #dotnet #csharp #redis #api Caching is one of those things that sounds optional until your database starts getting hammered at scale, your response times creep up, and you realise you've been querying the same data hundreds of times per minute.
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