Create a Kubernetes Rolling deployment
This topic describes how to perform a Kubernetes rolling update deployment in Harness.
A rolling update strategy updates Kubernetes deployments with zero downtime by incrementally updating pod instances with your new app version. New pods are scheduled on nodes using the available resources.
This method is similar to a standard Canary strategy, but different from the Harness Kubernetes Canary strategy. The Harness Kubernetes Canary strategy uses a canary phase followed by a rolling update as its final phase. See Create a Kubernetes Canary Deployment for more information.
For a detailed explanation of Kubernetes rolling updates, see Performing a Rolling Update from Kubernetes.
Before you begin
What workloads can I deploy?
Stages using Harness Canary and Blue/Green steps only support Kubernetes Deployment workloads.
The Rolling Deployment step supports all workloads except Jobs.
The Apply Step can deploy any workloads or objects in any strategy including Rolling Deployment.
In Harness, a workload is a Deployment, StatefulSet, or DaemonSet object deployed and managed to steady state.
Rolling vs Apply
The following table lists the differences between the Rolling Deployment step (default in a Rolling strategy) and the Apply step (which may be used with any strategy).
| Jobs | Rollback | |
|---|---|---|
| Rolling Deployment step | No | Yes |
| Apply step | Yes | No |
Multiple managed workloads
With the Rolling Deployment step, you can deploy multiple managed workloads.
For Canary and Blue/Green steps, only one managed object may be deployed per step by default.
You can deploy additional objects using the Apply Step, but it is typically used for deploying Jobs controllers.
You can specify the multiple workload objects in a single manifest or in individual manifests, or any other arrangement.Here is the log from a deployment where you can see both Deployment objects deployed:
apiVersion: apps/v1
kind: Deployment
metadata:
name: anshul-multiple-workloads-deployment
spec:
replicas: 1
selector:
matchLabels:
app: anshul-multiple-workloads
template:
metadata:
labels:
app: anshul-multiple-workloads
spec:
containers:
- name: anshul-multiple-workloads
image: registry.hub.docker.com/library/nginx:stable
envFrom:
- configMapRef:
name: anshul-multiple-workloads
- secretRef:
name: anshul-multiple-workloads
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: anshul-multiple-workloads-deployment-1
spec:
replicas: 3
selector:
matchLabels:
app: anshul-multiple-workloads
template:
metadata:
labels:
app: anshul-multiple-workloads
spec:
containers:
- name: anshul-multiple-workloads
image: registry.hub.docker.com/library/nginx:stable
envFrom:
- configMapRef:
name: anshul-multiple-workloads
- secretRef:
name: anshul-multiple-workloads
Define rollout strategy
There are no mandatory Rolling Update–specific settings for manifests in the Harness Service. You can use any Kubernetes configuration.
The default Rolling Update strategy used by Harness is:
RollingUpdateStrategy: 25% max unavailable, 25% max surge
If you want to set a Rolling Update strategy that is different from the default, you can include the strategy settings in your Deployment manifest:
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 1
For details on the settings, see RollingUpdateDeployment in the Kubernetes API.
Define the service and infrastructure
- Create your CD Pipeline stage.
To set up your Service and Infrastructure in the stage, follow the steps in these topics:
Add the Rollout Step
- In the stage's Execution, click Add Step, and select Rolling Deployment.
That's it. Harness will perform the Kubernetes rollout using your manifests and artifacts.
To change the default settings, click the Rolling Deployment step.
See Kubernetes Rollout Step for settings.
Deploy
Let's look at what the Rollout Deployment step does in the deployment logs.
Apply
The Apply section deploys the manifests from the Service Manifests section as one file.
kubectl --kubeconfig=config apply --filename=manifests.yaml --record
configmap/harness-example-config-3 configured
deployment.apps/harness-example-deployment created
Done.
Wait for Steady State
The Wait for Steady State section shows the containers and pods rolled out.
kubectl --kubeconfig=config get events --output=custom-columns=KIND:involvedObject.kind,NAME:.involvedObject.name,MESSAGE:.message,REASON:.reason --watch-only
kubectl --kubeconfig=config rollout status Deployment/harness-example-deployment --watch=true
Status : Waiting for deployment "harness-example-deployment" rollout to finish: 0 of 2 updated replicas are available...
Event : Pod harness-example-deployment-5674658766-6b2fw Successfully pulled image "registry.hub.docker.com/library/nginx:stable-perl" Pulled
Event : Pod harness-example-deployment-5674658766-p9lpz Successfully pulled image "registry.hub.docker.com/library/nginx:stable-perl" Pulled
Event : Pod harness-example-deployment-5674658766-6b2fw Created container Created
Event : Pod harness-example-deployment-5674658766-p9lpz Created container Created
Event : Pod harness-example-deployment-5674658766-6b2fw Started container Started
Event : Pod harness-example-deployment-5674658766-p9lpz Started container Started
Status : Waiting for deployment "harness-example-deployment" rollout to finish: 1 of 2 updated replicas are available...
Status : deployment "harness-example-deployment" successfully rolled out
Done.
Wrap Up
The Wrap Up section shows the Rolling Update strategy used.
...
Name: harness-example-deployment
Namespace: default
CreationTimestamp: Sun, 17 Feb 2019 22:03:53 +0000
Labels: <none>
Annotations: deployment.kubernetes.io/revision: 1
kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"apps/v1","kind":"Deployment","metadata":{"annotations":{"kubernetes.io/change-cause":"kubectl apply --kubeconfig=config --f...
kubernetes.io/change-cause: kubectl apply --kubeconfig=config --filename=manifests.yaml --record=true
Selector: app=harness-example
Replicas: 2 desired | 2 updated | 2 total | 2 available | 0 unavailable
StrategyType: RollingUpdate
MinReadySeconds: 0
RollingUpdateStrategy: 25% max unavailable, 25% max surge
...
NewReplicaSet: harness-example-deployment-5674658766 (2/2 replicas created)
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal ScalingReplicaSet 8s deployment-controller Scaled up replica set harness-example-deployment-5674658766 to 2
Done.
Rolling update deployment example
Now that the setup is complete, you can click Run Pipeline.
The Pipeline is deployed.
To see the completed deployment, log into your cluster and run kubectl get all. The output lists the new Deployment:
NAME READY STATUS RESTARTS AGE
pod/harness-example-deployment-5674658766-6b2fw 1/1 Running 0 34m
pod/harness-example-deployment-5674658766-p9lpz 1/1 Running 0 34m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.83.240.1 <none> 443/TCP 34m
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.apps/harness-example-deployment 2 2 2 2 34m
NAME DESIRED CURRENT READY AGE
replicaset.apps/harness-example-deployment-5674658766 2 2 2 34m
Important notes
Enable Kubernetes Pruning option
See Prune Kubernetes Resources.
Rolling Rollback step
You can add a Rolling Rollback step to your stage to roll back the workloads deployed by the Rollout Deployment step.
Simply add this step where you want to initiate a rollback. Note that this command applies to the deployments of the Rollout Deployment command, and not the Apply Step command.