- Specifying a Disruption Budget for your Application
Specifying a Disruption Budget for your Application
FEATURE STATE: Kubernetes v1.21 [stable]
This page shows how to limit the number of concurrent disruptions that your application experiences, allowing for higher availability while permitting the cluster administrator to manage the clusters nodes.
Before you begin
Your Kubernetes server must be at or later than version v1.21. To check the version, enter kubectl version
.
- You are the owner of an application running on a Kubernetes cluster that requires high availability.
- You should know how to deploy Replicated Stateless Applications and/or Replicated Stateful Applications.
- You should have read about Pod Disruptions.
- You should confirm with your cluster owner or service provider that they respect Pod Disruption Budgets.
Protecting an Application with a PodDisruptionBudget
- Identify what application you want to protect with a PodDisruptionBudget (PDB).
- Think about how your application reacts to disruptions.
- Create a PDB definition as a YAML file.
- Create the PDB object from the YAML file.
Identify an Application to Protect
The most common use case when you want to protect an application specified by one of the built-in Kubernetes controllers:
- Deployment
- ReplicationController
- ReplicaSet
- StatefulSet
In this case, make a note of the controller’s .spec.selector
; the same selector goes into the PDBs .spec.selector
.
From version 1.15 PDBs support custom controllers where the scale subresource is enabled.
You can also use PDBs with pods which are not controlled by one of the above controllers, or arbitrary groups of pods, but there are some restrictions, described in Arbitrary Controllers and Selectors.
Think about how your application reacts to disruptions
Decide how many instances can be down at the same time for a short period due to a voluntary disruption.
- Stateless frontends:
- Concern: don’t reduce serving capacity by more than 10%.
- Solution: use PDB with minAvailable 90% for example.
- Concern: don’t reduce serving capacity by more than 10%.
- Single-instance Stateful Application:
- Concern: do not terminate this application without talking to me.
- Possible Solution 1: Do not use a PDB and tolerate occasional downtime.
- Possible Solution 2: Set PDB with maxUnavailable=0. Have an understanding (outside of Kubernetes) that the cluster operator needs to consult you before termination. When the cluster operator contacts you, prepare for downtime, and then delete the PDB to indicate readiness for disruption. Recreate afterwards.
- Concern: do not terminate this application without talking to me.
- Multiple-instance Stateful application such as Consul, ZooKeeper, or etcd:
- Concern: Do not reduce number of instances below quorum, otherwise writes fail.
- Possible Solution 1: set maxUnavailable to 1 (works with varying scale of application).
- Possible Solution 2: set minAvailable to quorum-size (e.g. 3 when scale is 5). (Allows more disruptions at once).
- Concern: Do not reduce number of instances below quorum, otherwise writes fail.
- Restartable Batch Job:
- Concern: Job needs to complete in case of voluntary disruption.
- Possible solution: Do not create a PDB. The Job controller will create a replacement pod.
- Concern: Job needs to complete in case of voluntary disruption.
Rounding logic when specifying percentages
Values for minAvailable
or maxUnavailable
can be expressed as integers or as a percentage.
- When you specify an integer, it represents a number of Pods. For instance, if you set
minAvailable
to 10, then 10 Pods must always be available, even during a disruption. - When you specify a percentage by setting the value to a string representation of a percentage (eg.
"50%"
), it represents a percentage of total Pods. For instance, if you setmaxUnavailable
to"50%"
, then only 50% of the Pods can be unavailable during a disruption.
When you specify the value as a percentage, it may not map to an exact number of Pods. For example, if you have 7 Pods and you set minAvailable
to "50%"
, it’s not immediately obvious whether that means 3 Pods or 4 Pods must be available. Kubernetes rounds up to the nearest integer, so in this case, 4 Pods must be available. You can examine the code that controls this behavior.
Specifying a PodDisruptionBudget
A PodDisruptionBudget
has three fields:
- A label selector
.spec.selector
to specify the set of pods to which it applies. This field is required. .spec.minAvailable
which is a description of the number of pods from that set that must still be available after the eviction, even in the absence of the evicted pod.minAvailable
can be either an absolute number or a percentage..spec.maxUnavailable
(available in Kubernetes 1.7 and higher) which is a description of the number of pods from that set that can be unavailable after the eviction. It can be either an absolute number or a percentage.
Note: The behavior for an empty selector differs between the policy/v1beta1 and policy/v1 APIs for PodDisruptionBudgets. For policy/v1beta1 an empty selector matches zero pods, while for policy/v1 an empty selector matches every pod in the namespace.
You can specify only one of maxUnavailable
and minAvailable
in a single PodDisruptionBudget
. maxUnavailable
can only be used to control the eviction of pods that have an associated controller managing them. In the examples below, “desired replicas” is the scale
of the controller managing the pods being selected by the PodDisruptionBudget
.
Example 1: With a minAvailable
of 5, evictions are allowed as long as they leave behind 5 or more healthy pods among those selected by the PodDisruptionBudget’s selector
.
Example 2: With a minAvailable
of 30%, evictions are allowed as long as at least 30% of the number of desired replicas are healthy.
Example 3: With a maxUnavailable
of 5, evictions are allowed as long as there are at most 5 unhealthy replicas among the total number of desired replicas.
Example 4: With a maxUnavailable
of 30%, evictions are allowed as long as no more than 30% of the desired replicas are unhealthy.
In typical usage, a single budget would be used for a collection of pods managed by a controller—for example, the pods in a single ReplicaSet or StatefulSet.
Note: A disruption budget does not truly guarantee that the specified number/percentage of pods will always be up. For example, a node that hosts a pod from the collection may fail when the collection is at the minimum size specified in the budget, thus bringing the number of available pods from the collection below the specified size. The budget can only protect against voluntary evictions, not all causes of unavailability.
If you set maxUnavailable
to 0% or 0, or you set minAvailable
to 100% or the number of replicas, you are requiring zero voluntary evictions. When you set zero voluntary evictions for a workload object such as ReplicaSet, then you cannot successfully drain a Node running one of those Pods. If you try to drain a Node where an unevictable Pod is running, the drain never completes. This is permitted as per the semantics of PodDisruptionBudget
.
You can find examples of pod disruption budgets defined below. They match pods with the label app: zookeeper
.
Example PDB Using minAvailable:
policy/zookeeper-pod-disruption-budget-minavailable.yaml
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
name: zk-pdb
spec:
minAvailable: 2
selector:
matchLabels:
app: zookeeper
Example PDB Using maxUnavailable:
policy/zookeeper-pod-disruption-budget-maxunavailable.yaml
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
name: zk-pdb
spec:
maxUnavailable: 1
selector:
matchLabels:
app: zookeeper
For example, if the above zk-pdb
object selects the pods of a StatefulSet of size 3, both specifications have the exact same meaning. The use of maxUnavailable
is recommended as it automatically responds to changes in the number of replicas of the corresponding controller.
Create the PDB object
You can create or update the PDB object with a command like kubectl apply -f mypdb.yaml
.
Check the status of the PDB
Use kubectl to check that your PDB is created.
Assuming you don’t actually have pods matching app: zookeeper
in your namespace, then you’ll see something like this:
kubectl get poddisruptionbudgets
NAME MIN AVAILABLE MAX UNAVAILABLE ALLOWED DISRUPTIONS AGE
zk-pdb 2 N/A 0 7s
If there are matching pods (say, 3), then you would see something like this:
kubectl get poddisruptionbudgets
NAME MIN AVAILABLE MAX UNAVAILABLE ALLOWED DISRUPTIONS AGE
zk-pdb 2 N/A 1 7s
The non-zero value for ALLOWED DISRUPTIONS
means that the disruption controller has seen the pods, counted the matching pods, and updated the status of the PDB.
You can get more information about the status of a PDB with this command:
kubectl get poddisruptionbudgets zk-pdb -o yaml
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
annotations:
…
creationTimestamp: "2020-03-04T04:22:56Z"
generation: 1
name: zk-pdb
…
status:
currentHealthy: 3
desiredHealthy: 2
disruptionsAllowed: 1
expectedPods: 3
observedGeneration: 1
Arbitrary Controllers and Selectors
You can skip this section if you only use PDBs with the built-in application controllers (Deployment, ReplicationController, ReplicaSet, and StatefulSet), with the PDB selector matching the controller’s selector.
You can use a PDB with pods controlled by another type of controller, by an “operator”, or bare pods, but with these restrictions:
- only
.spec.minAvailable
can be used, not.spec.maxUnavailable
. - only an integer value can be used with
.spec.minAvailable
, not a percentage.
You can use a selector which selects a subset or superset of the pods belonging to a built-in controller. The eviction API will disallow eviction of any pod covered by multiple PDBs, so most users will want to avoid overlapping selectors. One reasonable use of overlapping PDBs is when pods are being transitioned from one PDB to another.