Get started with Drycc Workflow in three easy steps.
- Install CLI tools for Helm and Drycc Workflow
- Boot a Kubernetes and install Drycc Workflow
- Deploy your first application
This guide will help you set up a cluster suitable for evaluation, development and testing. When you are ready for staging and production, view our production checklist.
For the quickstart we will install both Helm and Drycc Workflow CLI.
There are many ways to boot and run Kubernetes. You may choose to get up and running in cloud environments or locally on your laptop.
Cloud-based options:
- Google Container Engine: provides a managed Kubernetes environment, available with a few clicks.
- Amazon Web Services: uses Kubernetes upstream
kube-up.shto boot a cluster on AWS EC2. - Azure Container Service: uses Azure Container Service to provision Kubernetes and install Workflow.
If you would like to test on your local machine follow, our guide for Minikube.
If you have already created a Kubernetes cluster, check out the system requirements and then proceed to install Drycc Workflow on your own Kubernetes cluster.
Last but not least, register a user and deploy your first application.