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slug: /faq
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import Tabs from "@theme/Tabs";
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# FAQ

<PartialExperimentalDocs />

## General

### What is the Dagger Platform?

We're building the devops operating system, an integrated platform to orchestrate the delivery of applications to the cloud from start to finish. The Dagger Platform includes the Dagger Engine, Dagger Cloud, and the Dagger SDKs. Soon we will deliver the capability to publish and leverage prebuilt modules to further accelerate the adoption of Dagger across an organization’s pipelines.

### How do I install Dagger?

Refer to the documentation for information on how to install the [Dagger CLI](./user/329058-install.mdx).

### How do I update Dagger?

:::tip
[Learn more about compatibility between the Dagger Engine, the Dagger CLI and Dagger SDKs](#what-compatibility-is-there-between-the-dagger-engine-dagger-sdks-and-dagger-cli-versions).
:::

#### CLI

To install a Dagger CLI that matches your OS & architecture, run the following next to the `bin` directory where `dagger` is currently installed, e.g. `/usr/local`:

```shell
curl -L https://dl.dagger.io/dagger/install.sh | sh
```

The above will create `./bin/dagger`.

If your user account doesn't have sufficient privileges to install in the specified location and `sudo` is available, use the following command instead:

```shell
curl -L https://dl.dagger.io/dagger/install.sh | sudo sh
```

Homebrew users can alternatively use the following commands:

```shell
brew update
brew upgrade dagger
```

#### SDKs

To update a Dagger SDK, follow the same procedure that you would follow to update any other SDK package in your chosen development environment. For example:

- Go SDK

  ```shell
  go get -u dagger.io/dagger
  ```

- Node.js SDK

  <Tabs>
  <TabItem value="npm">

  ```shell
  npm install @dagger.io/dagger@latest --save-dev
  ```

  </TabItem>
  <TabItem value="yarn">

  ```shell
  yarn upgrade --latest @dagger.io/dagger --dev
  ```

  </TabItem>
  </Tabs>

- Python SDK

  <Tabs>
  <TabItem value="PyPI">

  ```shell
  pip install -U dagger-io
  ```

  </TabItem>
  <TabItem value="Conda">

  ```shell
  conda update dagger-io
  ```

  </TabItem>
  </Tabs>

### What compatibility is there between the Dagger Engine, Dagger SDKs and Dagger CLI versions?

- The Dagger CLI is released in tandem with the Dagger Engine and thus shares a version number with it.
- Dagger SDKs automatically provision a Dagger Engine at a compatible version.

Each release notes the compatible Dagger Engine version in its release notes. If running from the CLI, or providing a CLI for the SDK to use via the `_EXPERIMENTAL_DAGGER_CLI_BIN` variable, check the release notes of the SDK, which indicate the required CLI and Engine versions.

The image below shows an example of the compatibility information available in the release notes:

![Release information](/img/current_docs/faq/release-notes.png)

### How do I uninstall Dagger?

Follow these steps:

1. To uninstall a Dagger SDK, follow the same procedure that you would follow to uninstall any other SDK package in your chosen development environment.

1. Remove the Dagger CLI using the following command:

    ```shell
    sudo rm /usr/local/bin/dagger
    ```

    Homebrew users can alternatively use the following command:

    ```shell
    brew uninstall dagger
    ```

1. Remove the Dagger container using the following commands:

    ```shell
    docker rm --force --volumes "$(docker ps --quiet --filter='name=^dagger-engine-')"
    ```

1. Remove the `dagger` sub-directory of your local cache and configuration directories (`$XDG_CACHE_HOME` and `$XDG_CONFIG_HOME` on Linux or the equivalent for other platforms):

    <Tabs>
    <TabItem value="macOS">

    ```shell
    rm -rf ~/Library/Caches/dagger
    rm -rf ~/Library/Application\ Support/dagger
    ```

    </TabItem>
    <TabItem value="Linux">

    ```shell
    rm -rf ~/.cache/dagger
    rm -rf ~/.config/dagger
    ```

    </TabItem>
    </Tabs>

    :::note
    The paths listed above are defaults and may require adjustment for your specific environment. The third-party packages Dagger uses to determine these paths are listed below:
      - Go (SDK and CLI): [https://github.com/adrg/xdg](https://github.com/adrg/xdg)
      - Node.js: [https://github.com/sindresorhus/env-paths](https://github.com/sindresorhus/env-paths)
      - Python: [https://github.com/platformdirs/platformdirs](https://github.com/platformdirs/platformdirs)
    :::

### What are Dagger's caching features?

Dagger is able to cache:

- Operations, such as copying files or directories to a container, running tests, compiling code, etc.
- Volumes, such as data caches or package manager caches

Operations are automatically cached every time a Dagger pipeline runs. Cache volumes must be explicity defined and used in your Dagger pipeline code.

### Can I run the Dagger Engine as a "rootless" container?

No. "Rootless mode" means running the Dagger Engine as a container without the `--privileged` flag. In this case, the container would not run as the "root" user of the system. Currently, the Dagger Engine cannot be run as a rootless container; network and filesystem constraints related to rootless usage would significantly limit its capabilities and performance. This also means that Dagger is not compatible with platforms which do not support privileged containers, such as AWS Fargate and GKE Autopilot. [Read more about these constraints](https://github.com/dagger/dagger/blob/main/core/docs/d7yxc-operator_manual.md).

### Can I configure the Dagger Engine?

Yes. By replacing the `/etc/dagger/engine.toml` file with your custom configuration, you can configure the Dagger Engine with CA certs, registry mirrors or additional privileges. However, note that this is a temporary solution and may change in future. [Read more about Dagger Engine configuration](https://github.com/dagger/dagger/blob/main/core/docs/d7yxc-operator_manual.md).

### I am stuck. How can I get help?

Join us on [Discord](https://discord.com/invite/dagger-io), and ask your question in our [help forum](https://discord.com/channels/707636530424053791/1030538312508776540). Our team will be happy to help you there!

## Dagger Cloud

### What is Dagger Cloud?

Dagger Cloud complements the Dagger Engine with a production-grade control plane. Features of Dagger Cloud include pipeline visualization, operational insights, and distributed caching.

### Is Dagger Cloud a hosting service for Dagger Engines?

No, Dagger Cloud is a “bring your own compute” service. The Dagger Engine can run on a wide variety of machines, including most development and CI platforms. If the Dagger Engine can run on it, then Dagger Cloud supports it.

### Which CI providers does Dagger Cloud work with?

Because the Dagger Engine can integrate seamlessly with practically any CI, there is no limit to the type and number of CI providers that Dagger Cloud can work with to provide Dagger pipeline visualization, operational insights, and distributed caching. Users report successfully leveraging Dagger with: GitLab, CircleCI, GitHub Actions, Jenkins,Tekton and many more.

### What is pipeline visualization?

Dagger Cloud provides a web interface to visualize each step of your pipeline, drill down to detailed logs, understand how long operations took to run, and whether operations were cached.

### What operational insights does Dagger Cloud provide?

Dagger Cloud collects telemetry from all your organization’s Dagger Engines, whether they run in development or CI, and presents it all to you in one place. This gives you a unique view on all pipelines, both pre-push and post-push.

### What is distributed caching?

One of Dagger’s superpowers is that it caches everything. On a single machine (like a laptop or long-running server), caching "just works", because the same Dagger Engine writing to the cache is also reading from it. But in a multi-machine configuration (like an elastic CI cluster), things get more complicated because all machines are continuously producing and consuming large amounts of cache data. How do we get the right cache data to the right machine at the right time, without wasting compute, networking, or storage resources? This is a complex problem which requires a distributed caching service, to orchestrate the movement of data between all machines in the cluster, and a centralized storage service. Because Dagger Cloud receives telemetry from all Dagger Engines, it can model the state of the cluster and make optimal caching decisions. The more telemetry data it receives, the smarter it becomes.

### Does distributed caching support ephemeral CI runners?

Yes. Ephemeral runners, by definition, lack caching; the runner’s local storage is purged when the runner is spun down. However, when your CI is connected to Dagger Cloud, these ephemeral runners gain all the benefits of a persistent shared cache.

### Does Dagger Cloud store my cache data?

Yes. For distributed caching to work, it requires two components: a centralized storage service and an orchestrator. Dagger Cloud provides both, in one integrated package.

### Where does Dagger Cloud store my cache data?

Dagger Cloud features a global data storage service spanning 26 regions across 3 cloud providers: AWS, Google Cloud Platform, and Cloudflare R2. The region closest to your compute is automatically selected.

### Does Dagger Cloud support “bring your own storage” for distributed caching?

The ability to "bring your own storage" is coming soon. Please reach out to us if this capability is needed for your organization.

## Dagger SDKs

### What language SDKs are available for Dagger?

We currently offer a [Go SDK](/sdk/go), a [Node.js SDK](/sdk/nodejs) and a [Python SDK](/sdk/python). Waiting for your favorite language to be supported? [Let us know which one](https://airtable.com/shrzABOn1wCk5yBF4), and we'll notify you when it's ready.

### How do I log in to a container registry using a Dagger SDK?

There are two options available:

1. Use the [`Container.withRegistryAuth()`](https://docs.dagger.io/api/reference/#Container-withRegistryAuth) GraphQL API method. A native equivalent of this method is available in each Dagger SDK.
1. Dagger SDKs can use your existing Docker credentials without requiring separate authentication. Simply execute `docker login` against your container registry on the host where your Dagger pipelines are running.

## Dagger API

### What API query language does Dagger use?

Dagger uses GraphQL as its low-level language-agnostic API query language.

### Do I need to know GraphQL to use Dagger?

No. You only need to know one of Dagger's supported SDKs languages to use Dagger. The translation to underlying GraphQL API calls is handled internally by the Dagger SDK of your choice.

### There's no SDK for &lt;language&gt; yet. Can I still use Dagger?

Yes. It's possible to use the Dagger GraphQL API from any language that [supports GraphQL](https://graphql.org/code/)  or from the [Dagger CLI](./user/329058-install.mdx).
