Same as we’ve done for templates.
For high volume services this should mean avoiding calls to external
services, either the database or Redis.
TTL is set to 2 seconds, so that’s the maximum time it will take for
revoking an API key or renaming a service to propagate.
Some of the tests created services with the same service ID. This
caused intermittent failures because the cache relies on unique service
IDs (like we have in the real world) to key itself.
We think that holding open database transactions while we go and do
something else is causing us to have poor performance.
Because we’re not serialising everything as soon as we pull it out of
the database we can guarantee that we don’t need to go back to the
database again.
So let’s see if explicitly closing the transaction helps with
performance.
By serialising these straight away we can:
- not go back to the database later, potentially closing the connection
sooner
- potentially cache the serialised data, meaning we don’t touch the
database at all
For some reason our V1 get template response wraps the whole template in
a dictionary with one key, `'data'`:
0d99033889/app/template/rest.py (L166)
That means when the admin app caches the response it also caches it in
this format.
The API needs to do the same, otherwise it will be cacheing data with a
schema that the admin app isn’t expecting, and vice-versa.