* Add healthcheck startup delay by 5secs and reduced interval check to 15s
to reduce waiting time for docker aware edge routers bringing an
instance online
They don't make any sense on the intermediate builder image. The final
images needs them to be of use for anyone.
Signed-off-by: Johannes Wienke <languitar@semipol.de>
Make pip install faster in Docker build for [Complement](https://github.com/matrix-org/complement) testing.
If files have changed in a `COPY` command, Docker will invalidate all of the layers below. So I changed the order of operations to install all dependencies before we `COPY synapse /synapse/synapse/`. This allows Docker to use our cached layer of dependencies even when we change the source of Synapse and speed up builds dramatically! `53.5s` -> `3.7s` builds 🤘
As an alternative, I did try using BuildKit caches but this still took 30 seconds overall on that step. 15 seconds to gather the dependencies from the cache and another 15 seconds to `Installing collected packages`.
Fix https://github.com/matrix-org/synapse/issues/9364
This removes the version pin of the `prometheus_client` dependency, in direct response to #8831. If merged, this will close#8831
As far as I can tell, no other changes are needed, but as I'm no synapse expert, I'm relying heavily on CI and maintainer reviews for this. My very primitive test of synapse with prometheus_client v0.9.0 on my home server didn't bring up any issues, so we'll see what happens.
Signed-off-by: Jordan Bancino
As mentioned in #7397, switching to a debian base should help with multi-arch work to save time on compiling. This is unashamedly based on #6373, but without the extra functionality. Switch python version back to generic 3.7 to always pull the latest. Essentially, keeping this as small as possible. The image is bigger though unfortunately.
Alpine Linux 3.8 is still supported, but it seems like
it's quite outdated now.
While Python should be the same on both, all other libraries, etc.,
are much newer in Alpine 3.9 and 3.10.
Signed-off-by: Slavi Pantaleev <slavi@devture.com>
There are two reasons this is a good thing:
* first, it means that you don't end up with stuff kicking around your working
copy ending up in the build image by mistake (which can upset the pip
install process)
* second: it means that the docker image cache is more effective, and we can
reuse docker images when iterating on the docker stuff.
