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docs/deployment-environments.md

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layout: default
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title: Deployment Environments
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nav_order: 4
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has_children: true
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---
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# Deployment Environments
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- [Deploy on Vercel](#deploy-on-vercel)
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- [Deploy on Docker](#deploy-on-docker)
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- [Deploy on DigitalOcean](#deploy-on-digitalocean)
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- [Deploy on AWS Lambda](#deploy-on-aws-lambda)
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- [Remoteless with npx](#deploy-remoteless-with-npx)
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## Deploy on Vercel
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__Note: Local storage isn't supported for this deployment method.__
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[![Deploy to DO](https://www.deploytodo.com/do-btn-blue.svg)](https://cloud.digitalocean.com/apps/new?repo=https://github.com/ducktors/turborepo-remote-cache/tree/main)
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[![Deploy to
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DO](https://www.deploytodo.com/do-btn-blue.svg)](https://cloud.digitalocean.com/apps/new?repo=https://github.com/ducktors/turborepo-remote-cache/tree/main)
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## Deploy on AWS Lambda
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This server can be deployed as an AWS Lambda Function. See this
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[guide](https://ducktors.github.io/turborepo-remote-cache/running-in-lambda) on deployment steps.
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## Deploy "remoteless" with npx
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If you have Node.js installed, you can run the server simply by typing

docs/running-in-lambda.md

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title: Running in an AWS Lambda Function
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parent: Deployment Environments
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# Running in an AWS Lambda Function

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