Timeline for API design and storing custom queries from Db to cache
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 13, 2018 at 8:50 | comment | added | LoztInSpace | The other thing about caching is that it gets more complex with server farms. Redis less of an issue, but when you get "smart" things happening in your ORM or simplistic local caching it can get weird quickly. Sometimes you need to fix the caching, sometimes adjust the server affinity depending on what's going wrong. | |
| Jul 13, 2018 at 6:47 | comment | added | Neil | @robertson Ok, expanded answer! | |
| Jul 13, 2018 at 6:46 | history | edited | Neil | CC BY-SA 4.0 |
Added brief description of various cache types
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| Jul 13, 2018 at 6:41 | history | edited | Neil | CC BY-SA 4.0 |
Added brief description of various cache types
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| Jul 12, 2018 at 21:53 | vote | accept | robertson | ||
| Jul 12, 2018 at 10:52 | comment | added | robertson | thanks, i definitely had some confusion. just realised that something like Redis, although often talked about as a "cache" is still a database....albeit an in-memory one. Could you clarify a bit more on the types of "caches" available? I have read about quite a few, i know there are browser caches (session/localStorage), HTTP caches, proxy caches etc. thanks for any clarification. | |
| Jul 12, 2018 at 10:45 | vote | accept | robertson | ||
| Jul 12, 2018 at 10:50 | |||||
| Jul 12, 2018 at 6:46 | history | answered | Neil | CC BY-SA 4.0 |