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Why is craft so slow?
Craft is a flexible CMS that doesn’t put many constraints on your content architecture, and site developers have complete control over front-end HTML output. Because of this, Craft will do whatever your templates tell it to do, which can be a common bottleneck for performance.
What is caching What are ways of increasing caching?
A cache’s primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer. Trading off capacity for speed, a cache typically stores a subset of data transiently, in contrast to databases whose data is usually complete and durable.
What are the problems caused by cache?
There are many reasons for cache penetration, which are generally as follows: Malicious attacks deliberately create a large amount of non-existent data to request our services. Since these data do not exist in the cache, massive requests fall into the database, which may cause the database to crash. Code logic error.
Can cache memory cause problems?
It may seem counterintuitive, but excessive cache usage can easily lead to performance problems. In addition to the typical problems, such as misses and high turnaround, an overused cache can quickly exhaust available memory.
Why is it important to have a caching service?
A second consideration is how tolerant a team’s service and its clients are to eventual consistency. Cached data necessarily grows inconsistent with the source over time, so caching can only be successful if both the service and its clients compensate accordingly.
What makes data a good candidate for caching?
Data from this dependency is a good candidate for caching if such a cache would have a good cache hit ratio across requests. That is, results of calls to the dependency can be used across multiple requests or operations.
How does an external cache reduce cache coherence?
An external cache stores cached data in a separate fleet, for example using Memcached or Redis. Cache coherence issues are reduced because the external cache holds the value used by all servers in the fleet. (Note that these issues aren’t totally eliminated because there might be failure cases when updating the cache.)
When to use a caching strategy in AWS?
We’ve found it helpful to consider caching when we encounter uneven request patterns that lead to hot-key/hot-partition throttling. Data from this dependency is a good candidate for caching if such a cache would have a good cache hit ratio across requests.