Caching for Systems Analysts

Caching may seem like a purely technical topic, but in reality it’s often the analyst who must foresee where data can become outdated and how that will affect users.

In this talk, I’ll explain:

  • the different types of caches;

  • how they differ from one another;

  • where their use tends to “explode” in production, and how to account for caching properly in requirements.


Why this matters for analysts:

Caching-related mistakes lead to bugs that can’t be “fixed with a button” — and users blame the entire system, not the cache layer.

An analyst can prevent such situations long before development even starts.

Comments ({{Comments.length}})
  • {{comment.AuthorFullName}}
    {{comment.AuthorInfo}}
    {{ comment.DateCreated | date: 'dd.MM.yyyy' }}

To leave a feedback you need to

or
Chat with us, we are online!