Caching mechanism, Algorithm, Policy and design | Complete Application Cache Tutorial with example
#CachingTutorial #CachingMechanism #CachingAlgorithm #AppCache
System Design & Algorithm of various caching mechanisms & Techniques.
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► Important Information and code guide available at bottom of the Description ⤵️
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► Important Information about this Tutorial
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Caching :stores the copies of most frequently used/accessed data in a small and faster memory to improve :
Data retrieval times
Compute costs
User Experience
Throughput
There are two types of caching —
Lazy Caching — data is not available in cache and we fetch the data upon receiving a request and storing it.
Eager Caching — all the recently referenced data is stored in the memory and refreshed at the specific intervals
Cache can be in-memory application cache ( stored in application memory) or distributed in-memory cache( data is stored in caching servers like Memcached or Redis — caters well to multiple read and write requests on the same cache at the same time) or Global Cache ( all the servers/nodes use the same single cache space and the cache itself is reponsible for eviction as well fetching data to avoid request flooding for the same data from multiple users at the same time)
FIFO ( First In first Out) — evict the data entry that was added first
LRU ( Least Recently used) — evict the data entry which is not accessed/used recently
LFU ( Least frequently used) — evict the data entry which is used/accessed least frequently
Browser caching, server side caching, appcation caching, CDN caching.
Cache hit, cache miss, cache policy,
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