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Updating version of mkdocs-material
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.github/workflows/deploy-mkdocs.yml

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@@ -12,7 +12,7 @@ jobs:
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fetch-depth: 0
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- name: Deploy MkDocs pages
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if: startsWith(github.repository, 'osg-htc/')
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uses: docker://squidfunk/mkdocs-material:7.1.0
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uses: docker://squidfunk/mkdocs-material:8.2.8
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with:
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args: >-
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gh-deploy

docs/perfsonar/deployment-models.md

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@@ -10,7 +10,7 @@ The primary motivation for perfSONAR deployment is to test isolation, i.e. only
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* VM needs to be configured to have SR-IOV to NIC(s) as well as pinned CPUs to ensure bandwidth tests are not impacted (by hypervisor switching CPUs during the test)
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* Succesfull full speed local bandwidth test is highly recommended prior to putting the VM into production
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* **Container** - perfSONAR has supported containers from version 4.1 (Q1 2018) and is documented at <https://docs.perfsonar.net/install_docker.html> but is not typically used in the same way as a full toolkit installation.
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* Docker perfSONAR test instance can however still be used by sites that run multiple perfSONAR instances on site for their internal testing as this deployment model allows to flexibly deploy a test-point which can send results to a local measurement archive running on the perfSONAR toolkit node.
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* Docker perfSONAR test instance can however still be used by sites that run multiple perfSONAR instances on site for their internal testing as this deployment model allows to flexibly deploy a testpoint which can send results to a local measurement archive running on the perfSONAR toolkit node.
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### perfSONAR Toolkit vs Testpoint
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* No web interface to use for configuration or adding local tests
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* Unable to show results in MaDDash
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While sites are free to choose whatever deployment method they want, we would like to strongly recommend the use of perfSONAR's containerized testpoint. This method was chosen as a "best practice" recommendation because of the reduced resource constraints, less components and easier management.
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While sites are free to choose whatever deployment method they want, we would like to strongly recommend the use of perfSONAR's containerized testpoint. This method was chosen as a "best practice" recommendation because of the reduced resource constraints, less components and easier management.
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### perfSONAR Hardware Requirements
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