How to configure a Kubernetes Multi-Pod Deployment

DeploymentKubernetesContainersGoogle Kubernetes-EngineKubernetes Pod

Deployment Problem Overview


I would like to deploy an application cluster by managing my deployment via k8s Deployment object. The documentation has me extremely confused. My basic layout has the following components that scale independently:

  1. API server
  2. UI server
  3. Redis cache
  4. Timer/Scheduled task server

Technically, all 4 above belong in separate pods that are scaled independently.

My questions are:

  1. Do I need to create pod.yml files and then somehow reference them in deployment.yml file or can a deployment file also embed pod definitions?
  2. K8s documentation seems to imply that the spec portion of Deployment is equivalent to defining one pod. Is that correct? What if I want to declaratively describe multi-pod deployments? Do I do need multiple deployment.yml files?

Deployment Solutions


Solution 1 - Deployment

Pagids answer has most of the basics. You should create 4 Deployments for your scenario. Each deployment will create a ReplicaSet that schedules and supervises the collection of PODs for the Deployment.

Each Deployment will most likely also require a Service in front of it for access. I usually create a single yaml file that has a Deployment and the corresponding Service in it. Here is an example for an nginx.yaml that I use:

apiVersion: v1
kind: Service
metadata:
  annotations:
    service.alpha.kubernetes.io/tolerate-unready-endpoints: "true"
  name: nginx
  labels:
    app: nginx
spec:
  type: NodePort
  ports:
  - port: 80
    name: nginx
    targetPort: 80
    nodePort: 32756
  selector:
    app: nginx
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: nginxdeployment
spec:
  replicas: 3
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginxcontainer
        image: nginx:latest
        imagePullPolicy: Always
        ports:
        - containerPort: 80

Here some additional information for clarification:

  • A POD is not a scalable unit. A Deployment that schedules PODs is.
  • A Deployment is meant to represent a single group of PODs fulfilling a single purpose together.
  • You can have many Deployments work together in the virtual network of the cluster.
  • For accessing a Deployment that may consist of many PODs running on different nodes you have to create a Service.
  • Deployments are meant to contain stateless services. If you need to store a state you need to create StatefulSet instead (e.g. for a database service).

Solution 2 - Deployment

You can use the Kubernetes API reference for the Deployment and you'll find that the spec->template field is of type PodTemplateSpec along with the related comment (Template describes the pods that will be created.) it answers you questions. A longer description can of course be found in the Deployment user guide.

To answer your questions...

  1. The Pods are managed by the Deployment and defining them separately doesn't make sense as they are created on demand by the Deployment. Keep in mind that there might be more replicas of the same pod type.

  2. For each of the applications in your list, you'd have to define one Deployment - which also makes sense when it comes to difference replica counts and application rollouts.

  3. you haven't asked that but it's related - along with separate Deployments each of your applications will also need a dedicated Service so the others can access it.

Solution 3 - Deployment

additional information:
API server use deployment
UI server use deployment
Redis cache use statefulset
Timer/Scheduled task server maybe use a statefulset (If your service has some state in)

Attributions

All content for this solution is sourced from the original question on Stackoverflow.

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Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionRajView Question on Stackoverflow
Solution 1 - DeploymentOswin NoetzelmannView Answer on Stackoverflow
Solution 2 - DeploymentpagidView Answer on Stackoverflow
Solution 3 - DeploymentMiffa YoungView Answer on Stackoverflow