๐ช๐ต๐ฎ๐ ๐ถ๐ ๐๐ต๐ฒ ๐๐ถ๐ป๐ด๐น๐ฒ ๐บ๐ผ๐๐ ๐ต๐ฒ๐น๐ฝ๐ณ๐๐น ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ ๐๐ผ ๐ถ๐บ๐ฝ๐ฟ๐ผ๐๐ฒ ๐๐ผ๐๐ฟ ๐ฎ๐ฝ๐ฝ'๐ ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ?
It is to ๐ฐ๐ฎ๐ฐ๐ต๐ฒ (๐ฎ๐น๐บ๐ผ๐๐) ๐ฒ๐๐ฒ๐ฟ๐๐๐ต๐ถ๐ป๐ด! Caching stores copies of frequently accessed data in a readily accessible location, reducing access time and offloading primary data sources.
Advantages of caching are faster data retrieval, reduced load on primary data stores, and improved user experience.
Don't cache only database queries, as reading for cache is much faster than an API call.
How do you ๐ฑ๐ฒ๐ฐ๐ถ๐ฑ๐ฒ to cache something? The better question is, why not cache something?
Adding a cache comes with costs, so for each candidate, we need to ๐ฒ๐๐ฎ๐น๐๐ฎ๐๐ฒ the following:
๐น Is it faster to hit cache?
๐น Is it worth to store?
๐น How often do we need to validate?
๐น How many hits per cache entry will we get?
๐น Is it local or shared cache?
Yet, cached data is stale, so there can be situations in which it is inappropriate.
To determine how successful your cache is, you can keep an eye on metrics like cache misses.
There are ๐ฐ๐ฎ๐ฐ๐ต๐ถ๐ป๐ด ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐:
๐ญ. ๐๐ฎ๐ฐ๐ต๐ฒ-๐๐๐ถ๐ฑ๐ฒ: The application manually manages data storage and retrieval from the cache. Data is fetched from the primary storage on a cache miss and then added to the cache.
๐ฎ. ๐ฅ๐ฒ๐ฎ๐ฑ-๐ง๐ต๐ฟ๐ผ๐๐ด๐ต: When a cache miss occurs, the cache automatically loads data from the primary storage. It simplifies data retrieval by handling cache misses internally.
๐ฏ. ๐ช๐ฟ๐ถ๐๐ฒ-๐๐ฟ๐ผ๐๐ป๐ฑ: Data is written directly to the primary storage, bypassing the cache. This strategy is effective when writes are frequent, and reads are less common.
๐ฐ. ๐ช๐ฟ๐ถ๐๐ฒ-๐๐ฎ๐ฐ๐ธ: Data is first written to the cache and later synchronized with the primary storage. This reduces the number of write operations but risks data loss if the stock fails before syncing.
๐ฑ. ๐ช๐ฟ๐ถ๐๐ฒ-๐ง๐ต๐ฟ๐ผ๐๐ด๐ต: Data is simultaneously written to both the cache and the primary storage, ensuring consistency but potentially increasing write latency. Ideal for scenarios where data integrity is crucial.
Do you use caching?
#softwaredesign
It is to ๐ฐ๐ฎ๐ฐ๐ต๐ฒ (๐ฎ๐น๐บ๐ผ๐๐) ๐ฒ๐๐ฒ๐ฟ๐๐๐ต๐ถ๐ป๐ด! Caching stores copies of frequently accessed data in a readily accessible location, reducing access time and offloading primary data sources.
Advantages of caching are faster data retrieval, reduced load on primary data stores, and improved user experience.
Don't cache only database queries, as reading for cache is much faster than an API call.
How do you ๐ฑ๐ฒ๐ฐ๐ถ๐ฑ๐ฒ to cache something? The better question is, why not cache something?
Adding a cache comes with costs, so for each candidate, we need to ๐ฒ๐๐ฎ๐น๐๐ฎ๐๐ฒ the following:
๐น Is it faster to hit cache?
๐น Is it worth to store?
๐น How often do we need to validate?
๐น How many hits per cache entry will we get?
๐น Is it local or shared cache?
Yet, cached data is stale, so there can be situations in which it is inappropriate.
To determine how successful your cache is, you can keep an eye on metrics like cache misses.
There are ๐ฐ๐ฎ๐ฐ๐ต๐ถ๐ป๐ด ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐:
๐ญ. ๐๐ฎ๐ฐ๐ต๐ฒ-๐๐๐ถ๐ฑ๐ฒ: The application manually manages data storage and retrieval from the cache. Data is fetched from the primary storage on a cache miss and then added to the cache.
๐ฎ. ๐ฅ๐ฒ๐ฎ๐ฑ-๐ง๐ต๐ฟ๐ผ๐๐ด๐ต: When a cache miss occurs, the cache automatically loads data from the primary storage. It simplifies data retrieval by handling cache misses internally.
๐ฏ. ๐ช๐ฟ๐ถ๐๐ฒ-๐๐ฟ๐ผ๐๐ป๐ฑ: Data is written directly to the primary storage, bypassing the cache. This strategy is effective when writes are frequent, and reads are less common.
๐ฐ. ๐ช๐ฟ๐ถ๐๐ฒ-๐๐ฎ๐ฐ๐ธ: Data is first written to the cache and later synchronized with the primary storage. This reduces the number of write operations but risks data loss if the stock fails before syncing.
๐ฑ. ๐ช๐ฟ๐ถ๐๐ฒ-๐ง๐ต๐ฟ๐ผ๐๐ด๐ต: Data is simultaneously written to both the cache and the primary storage, ensuring consistency but potentially increasing write latency. Ideal for scenarios where data integrity is crucial.
Do you use caching?
#softwaredesign
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