💡Caching is used to speed up responses by storing frequently used data in a cache.
🔑Cache policies like LRU and LFU determine when to load or evict data from the cache.
🌍The cache can be placed close to the server or as a global cache to improve performance.
📝There are different mechanisms like write-through and write-back for data consistency in caching.
🚀Caching is widely used in real-world systems to improve performance and reduce database load.
What is caching?
—Caching is a technique used to store frequently used data in a cache to improve response times.
Why is caching important?
—Caching can save network calls, speed up responses, and reduce database load.
What are common cache policies?
—Popular cache policies include Least Recently Used (LRU) and Least Frequently Used (LFU).
Where can the cache be placed?
—The cache can be placed close to the server or as a global cache to improve performance.
How does caching ensure data consistency?
—Caching uses mechanisms like write-through and write-back to maintain data consistency.
00:06This video provides an overview of caching and its importance in system design.
00:30Caching can be used to save network calls when retrieving commonly used data.
01:55Caching is beneficial in scenarios where avoiding database load is important.
03:39Cache policies like LRU and LFU determine when to load or evict data from the cache.
06:35The cache can be placed close to the server or as a global cache to improve performance.
09:07Caching can use write-through or write-back mechanisms for data consistency.
11:32A hybrid caching mechanism can provide the best of both write-through and write-back approaches.
13:15Caching is widely used in real-world systems to improve performance and reduce database load.
