From 76520bddfa6afdd2d082618dfdd006f03685260a Mon Sep 17 00:00:00 2001 From: fabriziopandini Date: Wed, 23 Nov 2022 13:16:06 +0100 Subject: [PATCH 1/3] Proposal for in place propagation of changes affecting Kubernetes objects only --- docs/book/src/reference/glossary.md | 8 + ...tion-of-Kubernetes-objects-only-changes.md | 323 ++++++++++++++++++ .../in-place-propagation/current-state.png | Bin 0 -> 197606 bytes .../in-place-propagation/optional-changes.png | Bin 0 -> 239666 bytes .../in-place-propagation/proposed-changes.png | Bin 0 -> 220929 bytes 5 files changed, 331 insertions(+) create mode 100644 docs/proposals/20221003-In-place-propagation-of-Kubernetes-objects-only-changes.md create mode 100644 docs/proposals/images/in-place-propagation/current-state.png create mode 100644 docs/proposals/images/in-place-propagation/optional-changes.png create mode 100644 docs/proposals/images/in-place-propagation/proposed-changes.png diff --git a/docs/book/src/reference/glossary.md b/docs/book/src/reference/glossary.md index d67157c5d107..ef2bd3bba74d 100644 --- a/docs/book/src/reference/glossary.md +++ b/docs/book/src/reference/glossary.md @@ -206,6 +206,14 @@ See e.g. [CAPA][#CAPA], [CAPC][#CAPC], [CAPD][#CAPD], [CAPG][#CAPG], [CAPH][#CAP A [patch](#patch) defined inline in a [ClusterClass](#clusterclass). An alternative to an [external patch](#external-patch). +### In-place mutable fields + +Fields which changes would only impact Kubernetes objects or/and controller behaviour +but they won't mutate in any way provider infrastructure nor the software running on it. In-place mutable fields +are propagated in place by CAPI controllers to avoid the more elaborated mechanics of a replace rollout. +They include metadata, MinReadySeconds, NodeDrainTimeout, NodeVolumeDetachTimeout and NodeDeletionTimeout but are +not limited to be expanded in the future. + ### Instance see [Server](#server) diff --git a/docs/proposals/20221003-In-place-propagation-of-Kubernetes-objects-only-changes.md b/docs/proposals/20221003-In-place-propagation-of-Kubernetes-objects-only-changes.md new file mode 100644 index 000000000000..1d4540ff601d --- /dev/null +++ b/docs/proposals/20221003-In-place-propagation-of-Kubernetes-objects-only-changes.md @@ -0,0 +1,323 @@ +--- + +title: In place propagation of changes affecting Kubernetes objects only +authors: +- "@fabriziopandini" +- @sbueringer +reviewers: +- @oscar +- @vincepri +creation-date: 2022-02-10 +last-updated: 2022-02-26 +status: implementable +replaces: +superseded-by: + +--- + +# In place propagation of changes affecting Kubernetes objects only + +## Glossary + +Refer to the [Cluster API Book Glossary](https://cluster-api.sigs.k8s.io/reference/glossary.html). + +**In-place mutable fields**: fields which changes would only impact Kubernetes objects or/and controller behaviour +but they won't mutate in any way provider infrastructure nor the software running on it. In-place mutable fields +are propagated in place by CAPI controllers to avoid the more elaborated mechanics of a replace rollout. +They include metadata, MinReadySeconds, NodeDrainTimeout, NodeVolumeDetachTimeout and NodeDeletionTimeout but are +not limited to be expanded in the future. + +## Summary + +This document discusses how labels, annotation and other fields impacting only Kubernetes objects or controller behaviour (e.g NodeDrainTimeout) +propagate from ClusterClass to KubeadmControlPlane/MachineDeployments and ultimately to Machines. + +## Motivation + +Managing labels on Kubernetes nodes has been a long standing [issue](https://github.com/kubernetes-sigs/cluster-api/issues/493) in Cluster API. + +The following challenges have been identified through various iterations: + +- Define how labels propagate from Machine to Node. +- Define how labels and annotations propagate from ClusterClass to KubeadmControlPlane/MachineDeployments and ultimately to Machines. +- Define how to prevent that label and annotation propagation triggers unnecessary rollouts. + +The first point is being addressed by [Label Sync Between Machine and underlying Kubernetes Nodes](./20220927-label-sync-between-machine-and-nodes.md), +while this document tackles the remaining two points. + +During a preliminary exploration we identified that the two above challenges apply also to other fields impacting only Kubernetes objects or +controller behaviour (see e.g. [Support to propagate properties in-place from MachineDeployments to Machines](https://github.com/kubernetes-sigs/cluster-api/issues/5880)). + +As a consequence we have decided to expand this work to consider how to propagate labels, annotations and fields impacting only Kubernetes objects or +controller behaviour, as well as this related issue: [Labels and annotations for MachineDeployments and KubeadmControlPlane created by topology controller](https://github.com/kubernetes-sigs/cluster-api/issues/7006). + +### Goals + +- Define how labels and annotations propagate from ClusterClass to KubeadmControlPlane/MachineDeployments and ultimately to Machines. +- Define how fields impacting only Kubernetes objects or controller behaviour propagate from ClusterClass to KubeadmControlPlane + MachineDeployments, and ultimately to Machines. +- Define how to prevent that propagation of labels, annotations and other fields impacting only Kubernetes objects or controller behaviour + triggers unnecessary rollouts. + +### Non-Goals + +- Discuss the immutability core design principle in Cluster API (on the contrary, this proposal makes immutability even better by improving + the criteria on when we trigger Machine rollouts). +- To support in-place mutation for components or settings that exist on Machines (this proposal focuses only on labels, annotations and other + fields impacting only Kubernetes objects or controller behaviour). + +### Future-Goals + +- Expand propagation rules including MachinePools after the [MachinePools Machine proposal](./20220209-machinepool-machines.md) is implemented. + +## Proposal + +### User Stories + +#### Story 1 + +As a cluster admin/user, I would like a declarative and secure means by which to assign roles to my nodes via Cluster topology metadata +(for Clusters with ClusterClass). + +As a cluster admin/user, I would like a declarative and secure means by which to assign roles to my nodes via KubeadmControlPlane and +MachineDeployments (for Clusters without ClusterClass). + +#### Story 2 + +As a cluster admin/user, I would like to change labels or annotations on Machines without triggering Machine rollouts. + +#### Story 3 + +As a cluster admin/user, I would like to change nodeDrainTimeout on Machines without triggering Machine rollouts. + +#### Story 4 + +As a cluster admin/user, I would like to set autoscaler labels for MachineDeployments by changing Cluster topology metadata +(for Clusters with ClusterClass). + +### Implementation Details/Notes/Constraints + +### Metadata propagation + +The following schema represent how metadata propagation works today (also documented in [book](https://cluster-api.sigs.k8s.io/developer/architecture/controllers/metadata-propagation.html)). + +![Figure 1](./images/in-place-propagation/current-state.png) + +With this proposal we are suggesting to improve metadata propagation as described in the following schema: + +![Figure 2](./images/in-place-propagation/proposed-changes.png) + +Following paragraphs provide more details about the proposed changes. + +#### 1. Label Sync Between Machine and underlying Kubernetes Nodes + +As discussed in [Label Sync Between Machine and underlying Kubernetes Nodes](./20220927-label-sync-between-machine-and-nodes.md) we are propagating only +labels with a well-known prefix or a well-known domain from the Machine to the corresponding Kubernetes Node. + +#### 2. Labels/Annotations always reconciled + +All the labels/annotations previously set only on creation are now going to be always reconciled; +in order to prevent unnecessary rollouts, metadata propagation should happen in-place; +see [in-place propagation](#in-place-propagation) down in this document for more details. + +Note: As of today the topology controller already propagates ClusterClass and Cluster topology metadata changes in-place when possible +in order to avoid unnecessary template rotation with the consequent Machine rollout; we do not foresee changes to this logic. + +#### 3. and 4. Set top level labels/annotations for ControlPlane and MachineDeployment created from a ClusterClass + +Labels and annotations from ClusterClass and Cluster.topology are going to be propagated to top-level level labels and annotations in +ControlPlane and MachineDeployment. + +This addresses [Labels and annotations for MachineDeployments and KubeadmControlPlane created by topology controller](https://github.com/kubernetes-sigs/cluster-api/issues/7006). + +Note: The proposed solution avoids to add additional metadata fields in ClusterClass and Cluster.topology, but +this has the disadvantage that it is not possible to differentiate top-level labels/annotations from Machines, +but given the discussion on the above issue this isn't a requirement. + +### Propagation of fields impacting only Kubernetes objects or controller behaviour + +In addition to labels and annotations, there are also other fields that flow down from ClusterClass to KubeadmControlPlane/MachineDeployments and +ultimately to Machines. + +Some of them can be considered like labels and annotations, because they have impacts only on Kubernetes objects or controller behaviour, but +not on the actual Machine itself - including infrastructure and the software running on it (in-place mutable fields). +Examples are `MinReadySeconds`, `NodeDrainTimeout`, `NodeVolumeDetachTimeout`, `NodeDeletionTimeout`. + +Propagation of changes to those fields will be implemented using the same [in-place propagation](#in-place-propagation) mechanism implemented +for metadata. + +### In-place propagation + +With in-place propagation we are referring to a mechanism that updates existing Kubernetes objects, like MachineSets or Machines, instead of +creating a new object with the updated fields and then deleting the current Kubernetes object. + +The main benefit of this approach is that it prevents unnecessary rollouts of the corresponding infrastructure, with the consequent creation/ +deletion of a Kubernetes node and drain/scheduling of workloads hosted on the Machine being deleted. + +**Important!** In-place propagation of changes as defined above applies only to metadata changes or to fields impacting only Kubernetes objects +or controller behaviour. This approach can not be used to apply changes to the infrastructure hosting a Machine, to the OS or any software +installed on it, Kubernetes components included (Kubelet, static pods, CRI etc.). + +Implementing in-place propagation has two distinct challenges: + +- Current rules defining when MachineDeployments or KubeadmControlPlane trigger a rollout should be modified in order to ignore metadata and + other fields that are going to be propagated in-place. + +- When implementing the reconcile loop that performs in-place propagation, it is required to avoid impact on other components applying + labels or annotations to the same object. For example, when reconciling labels to a Machine, Cluster API should take care of reconciling + only the labels it manages, without changing any label applied by the users/by another controller on the same Machine. + +#### MachineDeployment rollouts + +The MachineDeployment controller determines when a rollout is required using a "semantic equality" comparison between current MachineDeployment +spec and the corresponding MachineSet spec. + +While implementing this proposal we should change the definition of "semantic equality" in order to exclude metadata and fields that +should be updated in-place. + +On top of that we should also account for the use case where, after deploying the new "semantic equality" rule, there is already one or more +MachineSet(s) matching the MachineDeployment. Today in this case Cluster API deterministically picks the oldest of them. + +When exploring the solution for this proposal we discovered that the above approach can cause turbulence in the Cluster because it does not +take into account to which MachineSets existing Machines belong. As a consequence a Cluster API upgrade could lead to a rollout with Machines moving from +a "semantically equal" MachineSet to another, which is an unnecessary operation. + +In order to prevent this we are modifying the MachineDeployment controller in order to pick the "semantically equal" MachineSet with more +Machines, thus avoiding or minimizing turbulence in the Cluster. + +##### What about the hash label + +The MachineDeployment controller relies on a label with a hash value to identify Machines belonging to a MachineSet; also, the hash value +is used as suffix for the MachineSet name. + +Currently the hash is computed using an algorithm that considers the same set of fields used to determine "semantic equality" between current +MachineDeployment spec and the corresponding MachineSet spec. + +When exploring the solution for this proposal, we decided above algorithm can be simplified by using a simple random string +plus a check that ensures that the random string is not already taken by an existing MachineSet (for this MachineDeployment). + +The main benefit of this change is that we are going to decouple "semantic equality" from computing a UID to be used for identifying Machines +belonging to a MachineSet. Thus making the code easier to understand and simplifying future changes on rollout rules. + +#### KCP rollouts + +The KCP controller determines when a rollout is required using a "semantic equality" comparison between current KCP +object and the corresponding Machine object. + +The "semantic equality" implementation is pretty complex, but for the sake of this proposal only a few detail are relevant: + +- Rollout is triggered if a Machine doesn't have all the labels and the annotations in spec.machineTemplate.Metadata. +- Rollout is triggered if the KubeadmConfig linked to a Machine doesn't have all the labels and the annotations in spec.machineTemplate.Metadata. + +While implementing this proposal, above rule should be dropped, and replaced by in-place update of label & annotations. +Please also note that the current rule does not detect when a label/annotation is removed from spec.machineTemplate.Metadata +and thus users are required to remove labels/annotation manually; this is considered a bug and the new implementation +should account for this use case. + +Also, according to the current "semantic equality" rules, changes to nodeDrainTimeout, nodeVolumeDetachTimeout, nodeDeletionTimeout are +applied only to new machines (they don't trigger rollout). While implementing this proposal, we should make sure that +those changes are propagated to existing machines, without triggering rollout. + +#### Avoiding conflicts with other components + +While doing [in-place propagation](#in-place-propagation), and thus continuously reconciling info from a Kubernetes +object to another we are also reconciling values in a map, like e.g. Labels or Annotations. + +This creates some challenges. Assume that: + +We want to reconcile following labels form MachineDeployment to Machine: + +```yaml +labels: + a: a + b: b +``` + +After the first reconciliation, the Machine gets above labels. +Now assume that we remove label `a` from the MachineDeployment; The expected set of labels is + +```yaml +labels: + a: a +``` + +But the machine still has the label `b`, but we cannot remove it, because at this stage we do not know +if this label has been applied by Cluster API or by the user or another controllers. + +In order to manage properly this use case, that is co-authored maps, the solution available in API server is +to use [Server Side Apply patches](https://kubernetes.io/docs/reference/using-api/server-side-apply/). + +Based on previous experience in introducing SSA in the topology controller this change requires a lot of testing +and validation. Some cases that should be specifically verified includes: + +- introducing SSA patches on an already existing object (and ensure that SSA takes over ownership of managed labels/annotations properly) +- using SSA patches on objects after move or velero backup/restore (and ensure that SSA takes over ownership of managed labels/annotations properly) + +However, despite those use case to be verified during implementation, it is assumed that using API server +build in capabilities is a stronger, long term solution than any other alternative. + +## Alternatives + +### To not use SSA for [in-place propagation](#in-place-propagation) and be authoritative on labels and annotations + +If Cluster API uses regular patches instead of SSA patches, a a well tested path in Cluster API, Cluster API can +be implemented in order to be authoritative on label and annotations, that means that all the labels and annotations should +be propagated from higher level objects (e.g. all the Machine's labels should be set on the MachineSet, and going +on up the propagation chain). + +This is not considered acceptable, because users and other controller must be capable to apply their own +labels to any Kubernetes object, included the ones managed by Cluster API. + +### To not use SSA for [in-place propagation](#in-place-propagation) and do not delete labels/annotations + +If Cluster API uses regular patches instead of SSA patches, but without being authoritative, Cluster API can +be implemented in order to add new labels from higher level objects (e.g. a new label added to MachineSet is added to +the corresponding Machine) and to enforce labels values from higher level objects. + +But, as explained in [avoiding conflicts with other components](#avoiding-conflicts-with-other-components), using +this approach there is no way to determine if label/annotation has been applied by Cluster API or by the user or another controllers, +and thus automatic label/annotation deletion cannot be implemented. + +This approach is not considered ideal, because it is transferring the ownership of labels and annotations deletion +to users or other controllers, and this is not considered a nice user experience. + +### To not use SSA for [in-place propagation](#in-place-propagation) and use status fields to track labels previously applied by CAPI + +If Cluster API uses regular patches instead of SSA patches, without being authoritative, it is possible to implement +a DIY solution for tracking label ownership based on status fields or annotations. + +This approach is not considered ideal, because e.g. status field do not survive move/backup and restore, and tacking +a step back, this is sort of re-implementing SSA or a subset of it. + +### Change more propagation rules + +While working on the set of changes proposed above a set of optional changes to the existing propagation rules have been +identified; however, considering that the more complex part of this proposal is implementing [in-place propagation](#in-place-propagation), +it was decided to implement only the few, most critical changes to propagation rules. + +Nevertheless we are documenting optional changes dropped from the scope of this iteration for future reference. + +![Figure 3](./images/in-place-propagation/optional-changes.png) + +Optional changes: + +- 4b: Simplify MachineDeployment to MachineSet label propagation + Leveraging on changed introduced 4, it is possible to simplify MachineDeployment to MachineSet label propagation, + which currently mimics Deployment to ReplicaSet label propagation. The backside of this chance is that it wouldn't be + possible anymore to have different labels/annotations on MachineDeployment & MachineSet. + +- 5a and 5b: Propagate ClusterClass and Cluster.topology to templates + This changes make ClusterClass and Cluster.topology labels/annotation to be propagated to templates as well. + Please note that this change requires further discussions, because + - Contract with providers should be extended to add optional metadata fields where necessary + - It should be defined how to detect if a template for a specific provider has the optional metadata fields, + and this is tricky because Cluster API doesn't have detailed knowledge of provider's types. + - InfrastructureMachineTemplates are immutable in a lot of providers, so we have to discuss how/if we should + be able to mutate the InfrastructureMachineTemplates.spec.template.metadata. + +### Change more propagation rules + + +## Implementation History + +- [ ] 10/03/2022: First Draft of this 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