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Time-based scaling with Kubernetes CronJob: How to avoid deployments overriding minReplicas

I have a HorizontalPodAutoscalar to scale my pods based on CPU. The minReplicas here is set to 5:

apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-web
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp-web
  minReplicas: 5 
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 50

I've then added Cron jobs to scale up/down my horizontal pod autoscaler based on time of day:

kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  namespace: production
  name: cron-runner
rules:
- apiGroups: ["autoscaling"]
  resources: ["horizontalpodautoscalers"]
  verbs: ["patch", "get"]

---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
  name: cron-runner
  namespace: production
subjects:
- kind: ServiceAccount
  name: sa-cron-runner
  namespace: production
roleRef:
  kind: Role
  name: cron-runner
  apiGroup: rbac.authorization.k8s.io

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: sa-cron-runner
  namespace: production
---

apiVersion: batch/v1beta1
kind: CronJob
metadata:
  name: django-scale-up-job
  namespace: production
spec:
  schedule: "56 11 * * 1-6"
  successfulJobsHistoryLimit: 0 # Remove after successful completion
  failedJobsHistoryLimit: 1 # Retain failed so that we see it
  concurrencyPolicy: Forbid
  jobTemplate:
    spec:
      template:
        spec:
          serviceAccountName: sa-cron-runner
          containers:
          - name: django-scale-up-job
            image: bitnami/kubectl:latest
            command:
            - /bin/sh
            - -c
            - kubectl patch hpa myapp-web --patch '{"spec":{"minReplicas":8}}'
          restartPolicy: OnFailure
----
apiVersion: batch/v1beta1
kind: CronJob
metadata:
  name: django-scale-down-job
  namespace: production
spec:
  schedule: "30 20 * * 1-6"
  concurrencyPolicy: Forbid
  successfulJobsHistoryLimit: 0 # Remove after successful completion
  failedJobsHistoryLimit: 1 # Retain failed so that we see it
  jobTemplate:
    spec:
      template:
        spec:
          serviceAccountName: sa-cron-runner
          containers:
          - name: django-scale-down-job
            image: bitnami/kubectl:latest
            command:
            - /bin/sh
            - -c
            - kubectl patch hpa myapp-web --patch '{"spec":{"minReplicas":5}}'
          restartPolicy: OnFailure

This works really well, except that now when I deploy it overwrites this minReplicas value with the minReplicas in the HorizontalPodAutoscaler spec (in my case, this is set to 5)

I'm deploying my HPA using kubectl apply -f ~/autoscale.yaml

Is there a way of handling this situation? Do I need to create some kind of shared logic so that my deployment scripts can work out what the minReplicas value should be? Or is there a simpler way of handling this?

over 4 years ago · Santiago Trujillo
1 answers
Answer question

0

I think you could also consider the following two options:


Use helm to manage the life-cycle of your application with lookup function:

The main idea behind this solution is to query the state of specific cluster resource (here HPA) before trying to create/recreate it with helm install/upgrade commands.

  • Helm.sh: Docs: Chart template guide: Functions and pipelines: Using the lookup function

I mean to check the current minReplicas value each time before you upgrade your application stack.


Manage the HPA resource separately to application manifest files

Here you can handover this task to a dedicated HPA operator, which can coexist with your CronJobs that adjust minReplicas according specific schedule:

  • Banzaicloud.com: Blog: K8S HPA Operator
over 4 years ago · Santiago Trujillo Report
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