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Data Caching Strategies in Java: From Local Cache to Distributed Cache with Redis
Caching might sound like a big, scary tech word, but in simple terms, it’s just storing data in a place where it can be found faster the next time you need it. Instead of asking the database for the same thing over and over again, we can store it in a temporary storage called a cache. This makes applications run faster and handle more users without slowing down.
In this guide, we’ll take a simple step-by-step journey:
- Understand what caching is
- Learn local caching in Java
- Move to distributed caching with Redis
By the end, you’ll not only know what caching is, but also be able to use it in your own Java projects.
What is Caching in Simple Words?
Imagine you’re in a library. If you keep going to the main desk to ask for the same book, it takes time. But if you borrow the book and keep it in your bag, you can read it instantly without waiting.
That’s caching!
- The database is the library desk.
- The cache is your bag.
- You save time by storing frequently needed data nearby.