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Frequently Asked Questions

The answers in this FAQ apply to the newest (HEAD) version of Machine Controller Manager. If you’re using an older version of MCM please refer to corresponding version of this document. Few of the answers assume that the MCM being used is in conjuction with cluster-autoscaler:

Table of Contents:


What is Machine Controller Manager?

Machine Controller Manager aka MCM is a bunch of controllers used for the lifecycle management of the worker machines. It reconciles a set of CRDs such as Machine, MachineSet, MachineDeployment which depicts the functionality of Pod, Replicaset, Deployment of the core Kubernetes respectively. Read more about it at README.

  • Gardener uses MCM to manage its Kubernetes nodes of the shoot cluster. However, by design, MCM can be used independent of Gardener.

Why is my machine deleted?

A machine is deleted by MCM generally for 2 reasons-

  • Machine is unhealthy for at least MachineHealthTimeout period. The default MachineHealthTimeout is 10 minutes.

    • By default, a machine is considered unhealthy if any of the following node conditions - DiskPressure, KernelDeadlock, FileSystem, Readonly is set to true, or KubeletReady is set to false. However, this is something that is configurable using the following flag.
  • Machine is scaled down by the MachineDeployment resource.

    • This is very usual when an external controller cluster-autoscaler (aka CA) is used with MCM. CA deletes the under-utilized machines by scaling down the MachineDeployment. Read more about cluster-autoscaler’s scale down behavior here.

What are the different sub-controllers in MCM?

MCM mainly contains the following sub-controllers:

  • MachineDeployment Controller: Responsible for reconciling the MachineDeployment objects. It manages the lifecycle of the MachineSet objects.
  • MachineSet Controller: Responsible for reconciling the MachineSet objects. It manages the lifecycle of the Machine objects.
  • Machine Controller: responsible for reconciling the Machine objects. It manages the lifecycle of the actual VMs/machines created in cloud/on-prem. This controller has been moved out of tree. Please refer an AWS machine controller for more info - link.
  • Safety-controller: Responsible for handling the unidentified/unknown behaviors from the cloud providers. Please read more about its functionality below.

What is Safety Controller in MCM?

Safety Controller contains following functions:

  • Orphan VM handler:
    • It lists all the VMs in the cloud matching the tag of given cluster name and maps the VMs with the machine objects using the ProviderID field. VMs without any backing machine objects are logged and deleted after confirmation.
    • This handler runs every 30 minutes and is configurable via machine-safety-orphan-vms-period flag.
  • Freeze mechanism:
    • Safety Controller freezes the MachineDeployment and MachineSet controller if the number of machine objects goes beyond a certain threshold on top of Spec.Replicas. It can be configured by the flag –safety-up or –safety-down and also machine-safety-overshooting-period.
    • Safety Controller freezes the functionality of the MCM if either of the target-apiserver or the control-apiserver is not reachable.
    • Safety Controller unfreezes the MCM automatically once situation is resolved to normal. A freeze label is applied on MachineDeployment/MachineSet to enforce the freeze condition.

How to?

How to install MCM in a Kubernetes cluster?

MCM can be installed in a cluster with following steps:

  • Apply all the CRDs from here

  • Apply all the deployment, role-related objects from here.

    • Control cluster is the one where the machine-* objects are stored. Target cluster is where all the node objects are registered.

How to better control the rollout process of the worker nodes?

MCM allows configuring the rollout of the worker machines using maxSurge and maxUnavailable fields. These fields are applicable only during the rollout process and means nothing in general scale up/down scenarios. The overall process is very similar to how the Deployment Controller manages pods during RollingUpdate.

  • maxSurge refers to the number of additional machines that can be added on top of the Spec.Replicas of MachineDeployment during rollout process.
  • maxUnavailable refers to the number of machines that can be deleted from Spec.Replicas field of the MachineDeployment during rollout process.

How to scale down MachineDeployment by selective deletion of machines?

During scale down, triggered via MachineDeployment/MachineSet, MCM prefers to delete the machine/s which have the least priority set. Each machine object has an annotation machinepriority.machine.sapcloud.io set to 3 by default. Admin can reduce the priority of the given machines by changing the annotation value to 1. The next scale down by MachineDeployment shall delete the machines with the least priority first.

How to force delete a machine?

A machine can be force deleted by adding the label force-deletion: "True" on the machine object before executing the actual delete command. During force deletion, MCM skips the drain function and simply triggers the deletion of the machine. This label should be used with caution as it can violate the PDBs for pods running on the machine.

How to pause the ongoing rolling-update of the machinedeployment?

An ongoing rolling-update of the machine-deployment can be paused by using spec.paused field. See the example below:

apiVersion: machine.sapcloud.io/v1alpha1
kind: MachineDeployment
  name: test-machine-deployment
  paused: true

It can be unpaused again by removing the Paused field from the machine-deployment.

How to avoid garbage collection of your node?

MCM provides an in-built safety mechanism to garbage collect VMs which have no corresponding machine object. This is done to save costs and is one of the key features of MCM. However, sometimes users might like to add nodes directly to the cluster without the help of MCM and would prefer MCM to not garbage collect such VMs. To do so they should remove/not-use tags on their VMs containing the following strings:

  1. kubernetes.io/cluster/
  2. kubernetes.io/role/
  3. kubernetes-io-cluster-
  4. kubernetes-io-role-


What is the high level design of MCM?

Please refer the following document.

What are the different configuration options in MCM?

MCM allows configuring many knobs to fine-tune its behavior according to the user’s need. Please refer to the link to check the exact configuration options.

What are the different timeouts/configurations in a machine’s lifecycle?

A machine’s lifecycle is governed by mainly following timeouts, which can be configured here.

  • MachineDrainTimeout: Amount of time after which drain times out and the machine is force deleted. Default ~2 hours.
  • MachineHealthTimeout: Amount of time after which an unhealthy machine is declared Failed and the machine is replaced by MachineSet controller.
  • MachineCreationTimeout: Amount of time after which a machine creation is declared Failed and the machine is replaced by the MachineSet controller.
  • NodeConditions: List of node conditions which if set to true for MachineHealthTimeout period, the machine is declared Failed and replaced by MachineSet controller.
  • MaxEvictRetries: An integer number depicting the number of times a failed eviction should be retried on a pod during drain process. A pod is deleted after max-retries.

How is the drain of a machine implemented?

MCM imports the functionality from the upstream Kubernetes-drain library. Although, few parts have been modified to make it work best in the context of MCM. Drain is executed before machine deletion for graceful migration of the applications. Drain internally uses the EvictionAPI to evict the pods and triggers the Deletion of pods after MachineDrainTimeout. Please note:

  • Stateless pods are evicted in parallel.
  • Stateful applications (with PVCs) are serially evicted. Please find more info in this answer below.

How are the stateful applications drained during machine deletion?

Drain function serially evicts the stateful-pods. It is observed that serial eviction of stateful pods yields better overall availability of pods as the underlying cloud in most cases detaches and reattaches disks serially anyways. It is implemented in the following manner:

  • Drain lists all the pods with attached volumes. It evicts very first stateful-pod and waits for its related entry in Node object’s .status.volumesAttached to be removed by KCM. It does the same for all the stateful-pods.
  • It waits for PvDetachTimeout (default 2 minutes) for a given pod’s PVC to be removed, else moves forward.

How does maxEvictRetries configuration work with drainTimeout configuration?

It is recommended to only set MachineDrainTimeout. It satisfies the related requirements. MaxEvictRetries is auto-calculated based on MachineDrainTimeout, if maxEvictRetries is not provided. Following will be the overall behavior of both configurations together:

  • If maxEvictRetries isn’t set and only maxDrainTimeout is set:
    • MCM auto calculates the maxEvictRetries based on the drainTimeout.
  • If drainTimeout isn’t set and only maxEvictRetries is set:
    • Default drainTimeout and user provided maxEvictRetries for each pod is considered.
  • If both maxEvictRetries and drainTimoeut are set:
    • Then both will be respected.
  • If none are set:
    • Defaults are respected.

What are the different phases of a machine?

A phase of a machine can be identified with Machine.Status.CurrentStatus.Phase. Following are the possible phases of a machine object:

  • Pending: Machine creation call has succeeded. MCM is waiting for machine to join the cluster.
  • CrashLoopBackOff: Machine creation call has failed. MCM will retry the operation after a minor delay.
  • Running: Machine creation call has succeeded. Machine has joined the cluster successfully.
  • Unknown: Machine health checks are failing, eg kubelet has stopped posting the status.
  • Failed: Machine health checks have failed for a prolonged time. Hence it is declared failed. MachineSet controller will replace such machines immediately.
  • Terminating: Machine is being terminated. Terminating state is set immediately when the deletion is triggered for the machine object. It also includes time when it’s being drained.


My machine is stuck in deletion for 1 hr, why?

In most cases, the Machine.Status.LastOperation provides information around why a machine can’t be deleted. Though following could be the reasons but not limited to:

  • Pod/s with misconfigured PDBs block the drain operation. PDBs with maxUnavailable set to 0, doesn’t allow the eviction of the pods. Hence, drain/eviction is retried till MachineDrainTimeout. Default MachineDrainTimeout could be as large as ~2hours. Hence, blocking the machine deletion.
    • Short term: User can manually delete the pod in the question, with caution.
    • Long term: Please set more appropriate PDBs which allow disruption of at least one pod.
  • Expired cloud credentials can block the deletion of the machine from infrastructure.
  • Cloud provider can’t delete the machine due to internal errors. Such situations are best debugged by using cloud provider specific CLI or cloud console.

My machine is not joining the cluster, why?

In most cases, the Machine.Status.LastOperation provides information around why a machine can’t be created. It could possibly be debugged with following steps:

  • Verify if the machine is actually created in the cloud. User can use the Machine.Spec.ProviderId to query the machine in cloud.
  • A Kubernetes node is generally bootstrapped with the cloud-config. Please verify, if MachineDeployment is pointing the correct MachineClass, and MachineClass is pointing to the correct Secret. The secret object contains the actual cloud-config in base64 format which will be used to boot the machine.
  • User must also check the logs of the MCM pod to understand any broken logical flow of reconciliation.


How should I test my code before submitting a PR?

  • Developer can locally setup the MCM using following guide
  • Developer must also enhance the unit tests related to the incoming changes.
  • Developer can locally run the unit test by executing:
make test-unit

Developer should add/update the API fields at both of the following places:

Once API changes are done, auto-generate the code using following command:


Please ignore the API-violation errors for now.

How can I update the dependencies of MCM?

MCM uses gomod for depedency management. Developer should add/udpate depedency in the go.mod file. Please run following command to automatically revendor the dependencies.

make revendor

In the context of Gardener

How can I configure MCM using Shoot resource?

All of the knobs of MCM can be configured by the workers section of the shoot resource.

  • Gardener creates a MachineDeployment per zone for each worker-pool under workers section.
  • workers.dataVolumes allows to attach multiple disks to a machine during creation. Refer the link.
  • workers.machineControllerManager allows configuration of multiple knobs of the MachineDeployment from the shoot resource.

How is my worker-pool spread across zones?

Shoot resource allows the worker-pool to spread across multiple zones using the field workers.zones. Refer link.

  • Gardener creates one MachineDeployment per zone. Each MachineDeployment is initiated with the following replica:
MachineDeployment.Spec.Replicas = (Workers.Minimum)/(Number of availibility zones)