If a global vector-sink property on the logs plugin is set, we will use that to configure a log sink (defaulting to console output otherwise). Note that the actual configuration still needs to be a valid DSN representing a Vector log sink.
While this does not support pinning log sinks to specific apps, it opens up integration for those who use a single k3s cluster in shared tenancy.
Dokku ships with default charts and customizes their helm values. In certain cases, it may be useful to further customize those values to better support specific installations. With this change, it is now possible to set custom values by providing the key in the format `chart.$CHART_NAME.$PROPERTY`. For instance, to increase timeouts for the keda http addon:
```shell
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.tcpConnectTimeout 120s
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.keepAlive 120s
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.responseHeaderTimeout 120s
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.idleConnTimeout 120s
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.tlsHandshakeTimeout 120s
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.expectContinueTimeout 120s
```
To reset a value to its default, simply set the value to an empty string.
```shell
dokku scheduler-k3s:set --global chart.keda-add-ons-http.interceptor.tcpConnectTimeout
```
Once the values are set, users will need to then run `scheduler-k3s:ensure-charts` with either the `--force` flag or specify the `--chart` flag with a list of charts to force apply.
```shell
dokku scheduler-k3s:ensure-charts --force
dokku scheduler-k3s:ensure-charts --chart keda-add-ons-http
```
Note that the existing dokku-provided values cannot be removed, but can be overridden.
The ingress-nginx ingress implementation is the standard ingress in the Kubernetes community, and it doesn't make sense for us to stray from that just to utilize the k3s default.
In the future, we might drop k3s, but this works well for now.
This will provide the possibility for users to talk to existing kubernetes clusters, thereby removing one of the biggest reasons for having the old scheduler-kubernetes plugin around.
While this will now more or less require a local docker login - which can be overridden by setting the image-pull-secrets property - this ensures every deploy has a valid context.
One annoying thing is that the secret is per-app vs global, meaning that if the secret must be rotated, all apps need to be redeployed. A future change can fix that by deploying a global secret, or if folks really desire, this can be done by setting the image-pull-secrets property on the app/globally.
Different options get applied to each depending on what is needed for the role.
This also updates how we initialize the cluster to better support how metrics exposure and cross-server networking.
This utilizes a Kubernetes Job to start a pod in order to take advantage of completed Job cleanup in Kubernetes. It also properly handles interactivity by ensuring the container has a TTY.
Note that there is currently no provision for parsing docker arguments and translating them into their Kubernetes equivalents.