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Kubernetes Management Techniques

Run, Create and Expose Generators

  • These commands use helper templates called "generators"
  • Every resource in Kubernetes has a specification or "spec"
  • kubectl create deployment sample --image nginx --dry-run -o yaml
  • You can output those templates with --dry-run -o yaml
  • You can use those YAML default as a starting point for your own templates
  • Generators are "opinionated defaults"
apiVersion: apps/v1
kind: Deployment
metadata:
creationTimestamp: null
labels:
app: sample
name: sample
spec:
replicas: 1
selector:
matchLabels:
app: sample
strategy: {}
template:
metadata:
creationTimestamp: null
labels:
app: sample
spec:
containers:
- image: nginx
name: nginx
resources: {}
status: {}

Three Management Approaches

  • Imperative commands: run, expose, scale, edit, create deployment
    • best for dev / learning / personal projects
    • easy to learn, hardest to manage over time
  • Imperative objects: create -f file.yml, replace -f file.yml, delete -f file.yml
    • good for prod of small environments, single file per command
    • store your changes in git-based yaml files
    • hard to automate
  • Declarative objects: apply -f file.yaml or dir\, diff
    • best for prod, easier to automate
    • harder to understand and predict changes
  • Most important rule:
    • don't mix these three approaches