mirror of
https://gitea.com/mcereda/oam.git
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77 lines
3.2 KiB
Bash
77 lines
3.2 KiB
Bash
#!/usr/bin/env sh
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# Manage namespaces
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kubectl create namespace 'gitlab'
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# Manage secrets
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kubectl apply --namespace 'gitlab' --values 'secrets.yaml'
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kubectl create --namespace 'gitlab' secret generic 'gitlab-runner-token' --dry-run='client' --output 'yaml' \
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--from-literal='runner-registration-token=""' --from-literal='runner-token=glrt-…'
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kubectl --namespace 'gitea' create secret generic 'gitea-admin-secret' \
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--from-literal 'username=gitea_admin' --from-literal "password=$(pulumi config get 'giteaAdminPassword')"
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kubectl get secrets -n 'gitea' 'gitea' -o jsonpath='{.data.config_environment\.sh}' | base64 -d
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kubectl get secrets -n 'gitea' 'gitea-inline-config' -o go-template='{{.data.mailer|base64decode}}'
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# Manage nodes
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kubectl get nodes 'fargate-ip-172-31-83-147.eu-west-1.compute.internal' -o 'yaml' | yq -y '.metadata.labels'
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kubectl get nodes -o jsonpath='{.items[].metadata.labels}' | yq -y
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# Manage events
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kubectl get events -n 'monitoring' --sort-by '.metadata.creationTimestamp'
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# See resources utilization
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# Requires the metrics server to be running in the cluster
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kubectl top nodes
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kubectl top pods
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# Create containers
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kubectl run --rm -it --image 'alpine' 'alpine' --command -- sh
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kubectl run --rm -t --image 'amazon/aws-cli:2.17.16' 'awscli' -- autoscaling describe-auto-scaling-groups
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kubectl -n 'kube-system' run --rm -it 'awscli' --overrides '{"spec":{"serviceAccountName":"cluster-autoscaler-aws"}}' \
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--image '012345678901.dkr.ecr.eu-west-1.amazonaws.com/cache/amazon/aws-cli:2.17.16' \
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autoscaling describe-auto-scaling-groups
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# Scale deployments
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kubectl scale deployment -n 'kube-system' 'cluster-autoscaler-aws-cluster-autoscaler' --replicas '0'
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# Add annotations
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kubectl annotate sc 'gp2' 'storageclass.kubernetes.io/is-default-class'='false'
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cat <<EOF | kubectl apply -f -
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apiVersion: storage.k8s.io/v1
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kind: StorageClass
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metadata:
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annotations:
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storageclass.kubernetes.io/is-default-class: "true"
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name: gp3
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parameters:
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type: gp3
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provisioner: kubernetes.io/aws-ebs
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reclaimPolicy: Delete
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volumeBindingMode: WaitForFirstConsumer
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allowVolumeExpansion: true
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EOF
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# Check persistent volumes' usage
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# Need to connect to the pod mounting it
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kubectl -n 'gitea' exec 'gitea-766fd5fb64-2qlqb' -c 'gitea' -- df -h '/data'
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# Create a fictious job large enough to trigger a scale up in clusters with cluster-autoscaler
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kubectl run --rm -i --restart 'Never' 'resource-grabber' --image='alpine' \
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--overrides '{"spec":{"containers":[{"name":"alpine","image":"alpine","resources":{"requests":{"cpu":"1700m"}}}]}}' \
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-- \
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sleep '3s'
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# Remove nodes safely
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kubectl cordon 'kworker-rj2' \
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&& kubectl drain 'kworker-rj2' --grace-period=300 --ignore-daemonsets=true \
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&& kubectl delete node 'kworker-rj2'
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# Get raw information as JSON
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kubectl get --raw "/api/v1/nodes/ip-172-31-69-42.eu-west-1.compute.internal/proxy/stats/summary"
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# Get raw information as Prometheus metrics
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kubectl get --raw "/api/v1/nodes/ip-172-31-69-42.eu-west-1.compute.internal/proxy/metrics/cadvisor"
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# Get ephemeral storage usage for pods
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kubectl get --raw "/api/v1/nodes/ip-172-31-69-42.eu-west-1.compute.internal/proxy/stats/summary" \
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| jq '.pods[] | select(.podRef.name == "gitlab-runner-59dd68c5cb-9vcp4")."ephemeral-storage"'
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