Invalidating the data store

With this invalidation method, Scale Arc can guarantee that its cache will not serve stale data.This feature significantly increases the number of use cases where you can apply caching without the risk of data inconsistency challenges that can result from using TTL-based invalidation.

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Some features, like the Search Index Throttle, can have configured lengths of time, and others pre-set.

Scale Arc has introduced auto cache invalidation to the industry – a method for automatically invalidating cache entries that enables true ACID-compliant caching.

We also check that the application automatically logs out a user when that user has been idle for a certain amount of time, and that no sensitive data remains stored in the browser cache.

The end of a web session is usually triggered by one of the following two events: Both cases must be implemented carefully, in order to avoid introducing weaknesses that could be exploited by an attacker to gain unauthorized access.

It is this Stache that allows fast content querying, relationships, routing, search indexing, URL traversing, and really everything else that makes Statamic useful. As long as it exists, the Stache can always be rebuilt.

Since the Stache is temporary and self-replicating, you can delete it to invalidate it or any content inside it anytime if you have need.

Of course, a mitigating factor is that the attacker needs to be able to access those tokens (which are stored on the victim's PC), but, in a variety of cases, this may not be impossible or particularly difficult.

In most “traditional” applications (namely those involving a relational database for content and data storage), caching is usually just a performance-enhancing tool.

Caching is very useful when application users share a lot of common data; for example, cache would not provide as many benefits if each user typically retrieves data unique to that user or request.

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