- #Kubernetes docker extfs backing install#
- #Kubernetes docker extfs backing drivers#
- #Kubernetes docker extfs backing code#
- #Kubernetes docker extfs backing download#
The Docker Engine provides the following storage drivers on Linux: Driver Use the storageĭriver with the best overall performance and stability in the most usual scenarios. Next step is to choose the best storage driver for your workloads. After you have read the storage driver overview, the Storage driver controls how images and containers are stored and managed on yourĭocker host. This is where storage drivers comeĭocker supports several storage drivers, using a pluggable architecture. To write to the container’s writable layer. However, some workloads require you to be able If installation and connection to our storage bucket is successful, no error messages would be there inside deployment logs.Ideally, very little data is written to a container’s writable layer, and you To verify above installation, run following commands kubectl -n velero get pods NAME READY STATUS RESTARTS AGE velero-86bb45cdfb-987ps 1/1 Running 0 23s kubectl logs deployment/velero -n velero Note: it will create a new namespace velero to hold all components.
#Kubernetes docker extfs backing install#
# setting the bucket name export BUCKET=velero-akshit # installing velero with provider gcp velero install \ -provider gcp \ -plugins velero/velero-plugin-for-gcp:v1.1.0 \ -bucket $BUCKET \ -secret-file. Using Velero CLI installed previously, we need to deploy some components(that velero use) inside our cluster and configure them, so that Velero can access our cloud storage bucket. k8s-objectsĬonfiguring Velero for backing-up sample namespace kubectl create ns sample kubectl -n sample apply -f. Kubernetes objects used for this tutorial is located in k8s-objects folder. To verify kubectl and our test-cluster, run following command kubectl get nodes NAME STATUS ROLES AGE VERSION test-cluster-control-plane Ready master 5m15s v1.18.0Ĭurl -L -o /tmp/ tar -C /tmp -xvf /tmp/ mv /tmp/velero-v1.5.1-linux-amd64/velero /usr/local/bin/velero chmod +x /usr/local/bin/velero Deploying Kubernetes objects in a sample namespace Mounting $HOME directory provides access to KUBE_CONFIG generated by Kind CLI.Ĭurl -LO `curl -s `/bin/linux/amd64/kubectl chmod +x. docker run -it -rm -v $:/work -w /work -net host debian:buster Make sure your credentials.json is present inside gcpServiceAccount folder. The infrastructure files for terraform are placed inside storage folder. You can grab Terraform CLI from here or else use a Docker container that comes pre-installed with terraform. We’ll be using Google cloud storage bucket for this tutorial, but you can explore wide variety of storage plugin offered by Velero here. Velero requires a storage site for pushing back-up files and retrieving them back in case of restoration. Rename it to credentials.json and place it inside gcpServiceAccount folder.
#Kubernetes docker extfs backing download#
Create a key for this account in json format and download it.Give cloud storage admin permission to this account.Open google cloud console and navigate to IAM & Admin> Service accounts GCP service account to use with Terraform and VeleroĪ service account that has admin access to google cloud storage is required for Terraform to provision a bucket and for Velero to read/write backups to this bucket. For verifying status of coredns check this post here. If you are using Kubernetes(version 1.17), do check if coredns is working.Make sure Docker is installed on your machine.Using Kind will allow us to create two test cluster of different versions quickly, thus allowing us to simulate cluster-migrations.
Kind is a light weight utility to create single-node Kubernetes cluster on a Docker container for testing purposes.
#Kubernetes docker extfs backing code#
Velero is a light weight tool to safely backup, restore, handle cluster-failovers, and migrate Kubernetes cluster resources and persistent volumes.Īll the source code used in this tutorial can be found here.
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