![]() ![]() Generally speaking, for most sites, a hit ratio of 95-99%, and a miss ratio of one to five percent is ideal. What is a good CDN cache hit ratio for most websites? The CDN server will cache the photo once the origin server responds, so any other additional requests for it will result in a cache hit. User opens a product page on an e-commerce website and if a copy of the product picture is not currently in the CDN cache, this request results in a cache miss, and the request is passed along to the origin server for the original picture. But with a lot of cache servers, that can take a while. Then it’ll slowly start increasing as the cache servers create a copy of your data. At the start, the cache hit percentage will be 0%. This is why cache hit rates take time to accumulate. User opens the homepage of your website and for instance, copies of pictures (static content) are loaded from the cache server near to the user, because previous users already used this same content. Cache hit and miss example Cache hit example When this happens, a request should be forwarded to the origin storage/server and the content is transferred to the user and if possible, written into the cache. A cache miss ratio generally refers to when the cache memory is searched, and the data isn’t found. It’s usually expressed as a percentage, for instance, a 5% cache miss ratio. A reputable CDN service provider should provide their cache hit scores in their performance reports. However, modern CDNs, such as Amazon CloudFront can perform dynamic caching as well. It’s an important metric for a CDN, but not the only one to monitor for dynamic websites where content changes frequently, the cache hit ratio will be slightly lower compared to static websites. A cache hit describes the situation where your content is successfully served from the cache and not from original storage (origin server). What is the cache hit ratio?Ī cache hit ratio is an important metric that applies to any cache and is not only limited to a CDN. In this blog post, you will read about Amazon CloudFront CDN caching. These caches are usually provided by these AWS services: Amazon ElastiCache, Amazon DynamoDB Accelerator (DAX), Amazon CloudFront CDN and AWS Greengrass. Caching can be applied to any type of database including relational databases such as Amazon RDS or NoSQL databases. Database caching - In-memory data caching can be one of the most effective strategies to improve your overall application performance and reduce your database costs.Web caching - Web caching is performed by retaining HTTP responses and web resources in the cache to fulfill future requests from the cache rather than from the origin servers.It used to be that CDN merely improved the delivery of content by replicating commonly requested files (static content) across a globally distributed set of caching servers. ![]()
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