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Copy file name to clipboardExpand all lines: docs/user/api-server.md
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### Installation
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To use the Turbinia API server you will need to deploy Turbinia in your environment with a configuration that uses Redis and Celery.
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Please follow the instructions for deploying a [Turbinia GKE Celery cluster](https://github.com/google/osdfir-infrastructure/tree/main/charts/turbinia)or [local stack using Celery](turbinia-local-stack.md)
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Please follow the [instructions](install.md) for deploying Turbinia to Kubernetes or Docker.
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Note that the Turbinia API server requires access to the Turbinia output directory (```OUTPUT_DIR```)
Copy file name to clipboardExpand all lines: docs/user/install.md
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To get started quickly, ensure you have [Helm](https://helm.sh/docs/intro/install/)
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and [Kubectl](https://kubernetes.io/docs/tasks/tools/) installed and are authenticated
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to your Kubernetes cluster.
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to your Kubernetes cluster. Please use the [init-gke.sh](https://github.com/google/osdfir-infrastructure/blob/main/tools/init-gke.sh) script for assistance
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initializing a Google Kubernetes Cluster.
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Once complete, add the repo containing the Helm charts as follows:
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the repository on github first and check out your own forked instance.
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