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Park website visitors in a virtual queue to reduce the demand on your origins during peak times.
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**For more details about other starter kits for Compute@Edge, see the [Fastly developer hub](https://developer.fastly.com/solutions/starters)**
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**For more details about other starter kits for Fastly Compute, see the [Fastly Developer Hub](https://developer.fastly.com/solutions/starters)**
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[](https://queue-demo.edgecompute.app/index.html)
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## Getting started
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1. If you haven't already, [sign up for Upstash](https://www.npmjs.com/package/@upstash/redis) and create a Redis service.
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2. Initialize a Compute@Edge project using this starter kit.
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2. Initialize a Compute project using this starter kit.
3. Create the `upstash` backend, changing the default hostname to the one provided in the Upstash console.
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4. Create the `protected_content` backend by accepting the default example host or setting your own.
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5. Populate the `config`dictionary by following the prompts to configure Upstash and set a secret for signing cookies.
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5. Populate the `config`config store by following the prompts to configure Upstash and set a secret for signing cookies.
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6. Run `fastly compute publish` to deploy your queue.
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## Understanding the code
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The starter will require a backend to be configured to send requests to once visitors have made it through the queue. For demonstration, the default is a public S3 bucket with some assets and an index page.
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The template uses webpack to bundle `index.js` and its imports into a single JS file, `bin/index.js`, which is then wrapped into a `.wasm` file, `bin/index.wasm` using the `js-compute-runtime` CLI tool bundled with the `@fastly/js-compute` npm package, and bundled into a `.tar.gz` file ready for deployment to Compute@Edge.
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The template uses webpack to bundle `index.js` and its imports into a single JS file, `bin/index.js`, which is then wrapped into a `.wasm` file, `bin/index.wasm` using the `js-compute-runtime` CLI tool bundled with the `@fastly/js-compute` npm package, and bundled into a `.tar.gz` file ready for deployment to Compute.
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