In SFCC, cache is not a decoration you add at the end.
It is an architecture decision.
Many teams treat cache as a performance switch:
"The page is slow, let's cache it."
"The component is expensive, let's cache it."
"The release is close, let's increase the TTL."
That can help.
It can also hide the real problem and create a new one.
A bad cache rule can make a storefront look fast while showing stale prices, outdated promotions, wrong content, or inconsistent customer experiences.
Performance matters.
Correctness matters too.
Before caching something in B2C Commerce, I like to ask a few simple questions:
What data changes this output?
Who can see a different version of it?
How often does the business expect it to update?
What happens after replication?
How will the team know the cache is the reason for the behavior?
Those questions are not theoretical.
They decide whether a cache rule is safe, risky, or impossible to maintain.
The best SFCC implementations I have seen do not use cache blindly.
They separate stable content from dynamic content.
They understand which pages, includes, API responses, and custom logic can be cached.
They document the expected invalidation behavior.
They test cache behavior before production traffic exposes it.
Fast and wrong is still wrong.
For SFCC teams, cache should be designed with the same discipline as integrations, jobs, and checkout logic.
If your team wants a focused path through advanced SFCC configuration topics like cache behavior, aliases, session settings, robots.txt, and secure automation, I cover them in:
304 - Beyond the Basics: Advanced SFCC Configuration
https://www.sfcclearning.com/course-detail/304-beyond-the-basics-advanced-sfcc-configuration/26440/
What is the cache mistake you have seen create the most confusion in an SFCC project?
