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Container Guide | ||
=============== | ||
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**Contents:** | ||
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.. toctree:: | ||
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base-image | ||
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Running Dataverse software in containers is quite different than in a :doc:`standard installation <../installation/prep>`. | ||
Running the Dataverse software in containers is quite different than in a :doc:`standard installation <../installation/prep>`. | ||
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Both approaches have pros and cons. These days, containers are very often used for development and testing, | ||
but there is an ever rising move toward running applications in the cloud using container technology. | ||
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**NOTE:** | ||
**As the Institute for Quantitative Social Sciences (IQSS) at Harvard is running their installations in the classic | ||
deployment way, the container support is mostly created and maintained by the Dataverse community on a best-effort | ||
**As the Institute for Quantitative Social Sciences (IQSS) at Harvard is running a standard, non-containerized installation, | ||
container support described in this guide is mostly created and maintained by the Dataverse community on a best-effort | ||
basis.** | ||
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This guide is *not* about installation on technology like Docker Swarm, Kubernetes, Rancher or other | ||
solutions to run containers in production. There is the `Dataverse on K8s project <https://k8s-docs.gdcc.io>`_ for this | ||
purpose. | ||
purpose, as mentioned in the :doc:`/developers/containers` section of the Developer Guide. | ||
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This guide focuses on describing the container images managed from the main Dataverse repository (again: by the | ||
community, not IQSS), their features and limitations. Instructions on how to build the images yourself and how to | ||
develop and extend them further may be found in respective subpages. | ||
develop and extend them further are provided. | ||
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**Contents:** | ||
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.. toctree:: | ||
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base-image | ||
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