What are some effective caching strategies for monolithic applications?

What are some effective caching strategies for monolithic applications?

Effective caching strategies for monolithic applications include in-memory caching, database caching, and HTTP caching. In-memory caching, like Redis or Memcached, speeds up data retrieval. Database caching reduces load on the database by storing frequently accessed data. HTTP caching helps in reducing server load by storing responses.

Can you explain how in-memory caching works?

In-memory caching stores data in the server's RAM, allowing for faster access compared to disk storage. When a request is made, the application first checks the cache. If the data is present, it's returned immediately; if not, the application fetches it from the database and stores it in the cache for future requests.

What are the downsides of using caching?

Some downsides of caching include cache invalidation issues, where stale data may be served, increased complexity in managing cache, and potential memory consumption that could lead to performance degradation if not monitored.

How do I choose the right caching strategy for my app?

Choosing the right caching strategy depends on your application's specific needs, such as data access patterns, performance requirements, and infrastructure. Analyze your data usage, consider the trade-offs of each strategy, and test to find the best fit.