What is a TTL and why is cache invalidation hard?
PICTURE THIS: STACK VS QUEUE
Simple meaning
TTL is how long a cached entry lives before it expires.
WHY — Caching instead of guessing?
Why interviewers care about Caching:
who only read docs from people who shipped.
and tied to Full Stack work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1TTL is how long
a cached entry lives before it expires.
- 2Invalidation is hard because
you must know every key that depends on a write.
- 3Teams combine short TTLs,
explicit deletes on updates, and versioned keys.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
TTL is how long a cached entry lives before it expires. Invalidation is hard because you must know every key that depends on a write.