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# Caching isn’t hard. Some data is hard to cache

**[ITNEXT](https://daily.dev/sources/itnext)** · 3 min read · 3 upvotes · 0 comments

## Summary

Caching difficulty depends on the nature of the data being cached, not caching itself. Frequently changing data with strict accuracy needs (account balances, inventory) is hard to cache correctly. Infrequently updated data (config, catalogs) tolerates staleness and is easier. Immutable data (ledger entries, receipts) is the easiest since invalidation is a non-issue. The recommended question to ask is how often data changes and how accurate it must be, rather than a blanket cache/don't-cache rule.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/caching-isnt-hard-some-data-is-hard-to-cache-2b074873c11a>

## Questions this post answers

### Why is caching considered hard, and is that always true?

Caching itself is not inherently hard; difficulty depends on the type of data being cached. Frequently changing data with strict accuracy needs, like account balances or inventory counts, is genuinely hard because every stale read has real consequences. Infrequently updated data, like configuration or product catalogs, tolerates some staleness. Immutable data, like ledger entries or receipts, is easiest since invalidation stops being a concern.

_daily.dev surfaces system design perspectives like this for engineers deciding what to cache and how._

### What kind of data is safest to cache without worrying about invalidation?

Immutable data, such as ledger entries, event records, and receipts, is the safest and easiest to cache because it never changes, so cache invalidation largely disappears as a concern. The remaining challenge becomes balancing performance and hit-miss ratios rather than correctness, unlike frequently updated data such as account balances or active orders.

_Engineers weighing what belongs in a cache can find this kind of framing on daily.dev._

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