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docs(workflow): add volume doc
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Dockerfile

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@@ -3,7 +3,11 @@ FROM python:3.8-alpine
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COPY . /app
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WORKDIR /app
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RUN pip install -r requirements.txt
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RUN python -m venv /usr/local/env \
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&& source /usr/local/env/bin/activate \
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&& pip install -r requirements.txt
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ENV PATH /usr/local/env/bin:$PATH
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EXPOSE 8000
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CMD ["mkdocs", "serve", "-a", "0.0.0.0:8000"]

mkdocs.yml

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- Configuring Object Storage: installing-workflow/configuring-object-storage.md
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- Configuring Postgres: installing-workflow/configuring-postgres.md
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- Configuring the Registry: installing-workflow/configuring-registry.md
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- Chart Provenance: installing-workflow/chart-provenance.md
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- Users:
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- Command Line Interface: users/cli.md
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- Users and Registration: users/registration.md

src/installing-workflow/chart-provenance.md

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src/installing-workflow/index.md

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Once all of the pods are in the `READY` state, Drycc Workflow is up and running!
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For more installation parameters, please check the [values.yaml](https://github.com/drycc/workflow/blob/main/charts/workflow/values.yaml) file of workflow.
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After installing Workflow, [register a user and deploy an application](../quickstart/deploy-an-app.md).
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[Kubernetes v1.16.15+]: system-requirements.md#kubernetes-versions
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[helm]: https://github.com/kubernetes/helm/blob/master/docs/install.md
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[helm]: https://github.com/kubernetes/helm/blob/master/docs/install.md

src/installing-workflow/system-requirements.md

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Workflow supports Amazon Simple Storage Service (S3), Google Cloud Storage (GCS), OpenShift Swift, and Azure Blob
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Storage. See [configuring object storage](configuring-object-storage) for setup instructions.
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In addition, workflow needs to use RWX block storage services, such as cloud native [longhorn](https://longhorn.io/),
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[openebs](https://openebs.io/), or external (glusterfs)[https://www.gluster.org/] or [ceph](https://ceph.io/).
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## Resource Requirements
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When deploying Drycc Workflow, it's important to provision machines with adequate resources. Drycc is a highly-available

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