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docs(workflow): change workflow docs
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src/installing-workflow/chart-provenance.md

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@@ -50,7 +50,7 @@ Alternatively, the chart can also be verified at install time:
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```
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$ helm install --verify drycc/workflow --namespace drycc \
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--set controller.platform_domain=yourdomain.com
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--set global.platform_domain=yourdomain.com
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NAME: exiled-mink
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LAST DEPLOYED: Wed Aug 9 08:22:16 2017
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NAMESPACE: drycc

src/installing-workflow/configuring-object-storage.md

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All values will be automatically (base64) encoded _except_ the `key_json` values under `gcs`/`gcr`. These must be base64-encoded. This is to support cleanly passing said encoded text via `helm --set` cli functionality rather than attempting to pass the raw JSON data. For example:
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$ helm install workflow --namespace drycc \
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--set controller.platform_domain=youdomain.com
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--set global.platform_domain=youdomain.com
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--set global.storage=gcs,gcs.key_json="$(cat /path/to/gcs_creds.json | base64 -w 0)"
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You are now ready to run `helm install drycc/workflow --namespace drycc -f values.yaml` using your desired object storage.

src/installing-workflow/index.md

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## Add the Drycc Chart Repository
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The Drycc Chart Repository contains everything needed to install Drycc Workflow onto a Kubernetes cluster, with a single `helm install drycc/workflow --namespace drycc --set controller.platform_domain=yourdomain.com` command.
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The Drycc Chart Repository contains everything needed to install Drycc Workflow onto a Kubernetes cluster, with a single `helm install drycc/workflow --namespace drycc --set global.platform_domain=yourdomain.com` command.
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Add this repository to Helm:
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```
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$ helm install --namespace drycc \
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--set controller.platform_domain=drycc.cc \
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--set global.platform_domain=drycc.cc \
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drycc/workflow
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```
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src/installing-workflow/ingress.md

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```
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$ helm install drycc/workflow --namespace drycc \
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--set global.ingress_class=nginx \
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--set controller.platform_domain=drycc.cc \
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--set global.platform_domain=drycc.cc \
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--set builder.service.type=LoadBalancer
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```
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Of course, if you deploy it on a bare machine, you probably don't have Load Balancer. You need to use NodePort:
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```
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$ helm install drycc/workflow --namespace drycc \
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--set global.ingress_class=nginx \
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--set controller.platform_domain=drycc.cc \
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--set global.platform_domain=drycc.cc \
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--set builder.service.type=NodePort \
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--set builder.service.nodePort=32222
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```
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If you want to use Load Balancer on a bare machine, you can look at [metallb](https://github.com/danderson/metallb)
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Where `controller.platform_domain` is a **required** parameter that is traditionally not required for Workflow that is explained in the next section. In this example we are using `drycc.cc` for `$hostname`.
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Where `global.platform_domain` is a **required** parameter that is traditionally not required for Workflow that is explained in the next section. In this example we are using `drycc.cc` for `$hostname`.
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Helm will install a variety of Kubernetes resources in the `drycc` namespace.
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Wait for the pods that Helm launched to be ready. Monitor their status by running:

src/quickstart/deploy-an-app.md

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Drycc workflow requires a wildcard DNS record to dynamically map app names to the router.
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User should already have DNS set up pointing to their known host. The `$hostname` value can be calculated by prepending `drycc.` to the value set in `controller.platform_domain`.
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User should already have DNS set up pointing to their known host. The `$hostname` value can be calculated by prepending `drycc.` to the value set in `global.platform_domain`.
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## Register an Admin User
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