43 lines
2.3 KiB
Markdown
43 lines
2.3 KiB
Markdown
---
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sidebar_position: 1
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slug: /
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sidebar_label: What is Dagger?
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---
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# What is Dagger?
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Dagger is a universal deployment engine. Write your deployment logic once, run it securely from anywhere.
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Key features:
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* Escape YAML hell. Thanks to the Cue language, writing configuration is as fun and productive as writing code.
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* A powerful declarative execution engine to automate even the most complex and custom logic
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* Static type checking so you can catch configuration errors before running that huge deployment
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* Built-in caching and parallelism for maximum scale and performance
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* An ecosystem of reusable packages to save you time and share your expertise with the community
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* Avoid CI lock-in: the same Dagger configuration can be used in any CI, or with no CI at all
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* Rapid local development: test and run everything locally, in seconds.
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* Deploy from CI or the laptop: no more duplicating your CI config in a Makefile just so you can perform a task locally.
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* Native support for encrypted secrets
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* Just-in-time artifacts: fetch, transform and produce any artifact on the fly: source repositories, container images, binaries, database exports, ML models...
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Using Dagger, teams with different deployment workflows can more easily collaborate and deploy each other's software,
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without being forced to change their tools.
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Typical use cases:
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* On-demand staging environments for reviewing code changes
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* Manage CICD across multiple repositories and CI runners, with one unified configuration
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* Iterate on infrastructure without disrupting development teams
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* Lock down access to the production cluster so that only authorized configurations are applied
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* Common ground between the PaaS, Kubernetes and Serverless siloes.
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* On-demand integration environments for testing complex changes spanning several teams
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## Dagger is alpha software
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Warning! Dagger is _alpha-quality software_. It has many bugs, the user interface is minimal, and it may change in incompatible ways at any time. If you are still
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willing to try it, thank you! We appreciate your help and encourage you to [ask
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questions](https://github.com/dagger/dagger/discussions) and [report issues](https://github.com/dagger/dagger/issues).
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