/area API
/area autoscale
/area build
/area monitoring
/area networking
/area test-and-release
We currently only allow for configmap and secret volumes to be mounted into the user container. This constraint is put in place as volumes are a source of state and can severely limit scaling. This feature request is to relax this constraint to allow a larger set of volumes to be mounted that work well with serverless functions.
I do not have a particular set of volume types in mind, but #4130 may be a good example.
To support PVCs, when scaling up/down apps, how could data be handled?
Will knative take the work?
Or app should handler data migration gracefully when scale up or scale down.
Would it be possible to add emptyDir as an allowed type as that would not have state, should not present a scaling problem, and have rw storage outside the docker overlay. Also having emptyDir and medium: Memory will allow users to create larger tmpfs mounts where write intensive operations can happen in memory and not disk, which could wear down SSDs on selfhosted instances and would be orders of magnitude faster. As the default size for /dev/shm is only 64M. One of the suggested workarounds for increasing that is actually using a emptyDir with medium Memory.
I suppose that can be solved by writing a custom mutatingadmissionwebhook.
I have a very valid use case using Odoo, which saves all generated attachments on a NFS when using multi-tenant deployments, and this is being used on an actual k8s deployment with istio.
Knative can make things easier for us, but we can't drop the NFS (that's not even a source of state for us). There should be someway to accomplish this. If its not an issue with k8s it shouldn't be a constraint using Knative. That NFS should not impact a Knative deployment at all.
@gustavovalverde Thanks for sharing your use-case. This is something that is on the radar of the API Working Group, but we do not have someone actively working on this right now.
The "Binding" pattern as talked about in https://docs.google.com/document/d/1t5WVrj2KQZ2u5s0LvIUtfHnSonBv5Vcv8Gl2k5NXrCQ/edit#heading=h.lnql658xmg9p could be a potential workaround to inject these into the deployment that Knative creates while we work on getting this issue resolved. See https://github.com/mattmoor/bindings for examples.
cc @mattmoor
@dgerd @mattmoor I'd really appreciate an example on how to use bindings for this use case. I'll test it and give the feedback here so others with the same restriction can use this workaround.
@dgerd and I spent some time discussing this idea before the holidays began. I think he wanted to try to PoC it. If not, then he and I should probably write up a design doc to capture our thoughts/discussion.
@mattmoor Do I read this correctly that i cannot use ReadWriteMany PVCs at all in a Knative service? I have a simple uploader service that needs to deposit data in an Azure files pvc volume. I understand the desire for statefulness but I don't see this as different from inserting data into a database. The "persistence" isn't in the pod in either case. Thanks for any insight. --jg
I don't think we've figured out how to allow this in a way that doesn't have pointy edges that folks will stick themselves on. I totally agree that the filesystem is a useful abstraction for write-many capable devices.
Bumping this issue because it something that most users I have met want to do.
I don't think we've figured out how to allow this in a way that doesn't have pointy edges that folks will stick themselves on.
True, but realistically we most likely will never be able to prevent users to shoot themselves in the foot. We have seen them bypass the limitations with WebHooks to inject sidecars, use the downward API and mount volumes anyway.
The binding pattern is really interesting but maybe too complicated for typical users who just want to have the Kn Pod Spec be 100% compatible with the k8s Pod Spec.
As an example to what JR said above, both Datadog and New Relic use Unix domain sockets to collect metrics and exposing that is going to be important to support customers using these systems. In case of Datadog, the predominant way of using it is to deploy it as a Daemonset to the cluster and have customers and utilize UDS to send metrics to the agent local to the node. Another alternate is to use host IP within the user code to send the metrics to the Daemonset, but in order to ensure that the metrics are sent to the host node and not a random node in the system, user has to use k8s downward API to feed the IP of the host to the revision, but that doesn't work either because we don't support k8s downward APIs.
Would love to get everyone's opinion on two things:
True, but realistically we most likely will never be able to prevent users to shoot themselves in the foot. We have seen them bypass the limitations with WebHooks to inject sidecars, use the downward API and mount volumes anyway.
Yep, I agree. I think my prior comment is likely easily misinterpreted as "No, we need to solve this problem", but my intent was simply to convey that this isn't a slam dunk, there are downsides/gotchas that we'll have to be sure to clearly document.
The binding pattern is really interesting but maybe too complicated for typical users who just want to have the Kn Pod Spec be 100% compatible with the k8s Pod Spec.
The position I've been advocating for is actually to expand the surface of PodSpec that we allow to enable the binding pattern to target Service (as the subject) vs. forcing folks to reach around and use it with our Deployments. Sure if can be used to reach around us, but I agree that here it is inappropriate and overkill.
Can we extend the current list
I think we should absolutely expand the list, I have mixed feelings on hostPath (aka privilege), but we should discuss on a WG call. Especially with multiple container support coming the filesystem becomes an extremely interesting channel for intra-pod communication. The Google Cloud SQL proxy comes to mind 馃槈
I think at this point what we need is someone to drive the feature by putting together the appropriate feature track documentation and running it through the process.
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/lifecycle stale
I think we still want this
/remove-lifecycle stale
Yes, this could be behind a feature flag.
I'll take a look after I add support for Downward API.
Hi, is there a workaround for this or is it a WIP?
A workaround is to use a Webhook to inject what you want in the Pod Spec.
Not ideal. This is a WIP, but I don't think anyone is working on it right now.
@JRBANCEL I could have a look to this.
@JRBANCEL I could have a look to this.
Great. You can look a the various features behind feature flags for inspiration, for example: https://github.com/knative/serving/pull/8126
Thanks @JRBANCEL probably this needs an official design document/proposal. I will work on it.
/assign
Most helpful comment
Would it be possible to add
emptyDiras an allowed type as that would not have state, should not present a scaling problem, and have rw storage outside the docker overlay. Also havingemptyDirandmedium: Memorywill allow users to create largertmpfsmounts where write intensive operations can happen in memory and not disk, which could wear down SSDs on selfhosted instances and would be orders of magnitude faster. As the default size for/dev/shmis only64M. One of the suggested workarounds for increasing that is actually using a emptyDir with medium Memory.I suppose that can be solved by writing a custom mutatingadmissionwebhook.