An application team wishes to use Amazon ElastiCache to improve their application performance.
The application has a requirement that the data must always be the most recent.
Which caching strategy should the team employ?
Click on the arrows to vote for the correct answer
A. B. C. D.Answer: A.
Option A is CORRECT because Write-Through caching strategy updates the cache with every write operation, thus ensuring that the cache always contains the most recent data.
Option B is incorrect because lazy loading caching strategies update data in cache only when a cache miss occurs.
This means that the cache can contain stale data that is out of date with the data stored in the source database.
Option C is incorrect because the Cache-Aside caching pattern is a form of lazy loading caching strategy.
Option D is incorrect because the Read-Through caching pattern is a form of lazy loading caching strategy.
Reference:
https://docs.aws.amazon.com/AmazonElastiCache/latest/mem-ug/Strategies.htmlWhen using Amazon ElastiCache to improve application performance, it's important to consider the caching strategy that best fits the requirements of the application. In this case, the application team requires that the data must always be the most recent.
There are several caching strategies, including Write-Through, Lazy Loading, Cache-Aside, and Read-Through. Here's a detailed explanation of each strategy:
Write-Through: With Write-Through caching strategy, the data is first written to the cache and then written to the database. This ensures that the data in the cache is always up-to-date with the database. If the data is not found in the cache, it is first written to the cache and then written to the database. This strategy is useful when the application requires that the data in the cache is always the most recent.
Lazy Loading: With Lazy Loading caching strategy, data is loaded into the cache only when it's needed. When the application requests data that is not in the cache, it's fetched from the database and loaded into the cache. This strategy saves memory space because only frequently accessed data is loaded into the cache. However, it can lead to slightly longer response times when data is first accessed.
Cache-Aside: With Cache-Aside caching strategy, the application accesses the cache and the database directly. When the application needs data, it first looks in the cache. If the data is not found in the cache, it's fetched from the database and loaded into the cache. This strategy ensures that the data in the cache is up-to-date and reduces the number of requests to the database.
Read-Through: With Read-Through caching strategy, the cache acts as a read-through cache. When the application requests data, it first looks in the cache. If the data is not found in the cache, it's fetched from the database and loaded into the cache. This strategy is useful when the application requires a high cache hit ratio, but it may not be suitable for applications that require the most recent data.
In summary, the caching strategy that the team should employ to ensure the most recent data is Write-Through caching. With Write-Through caching, the data is written to the cache and the database simultaneously, ensuring that the cache always has the most recent data.