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Original file line number | Diff line number | Diff line change |
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@@ -1,119 +1,127 @@ | ||
- category: Storage | ||
description: The Storage Performance Development Kit (SPDK) provides a set of tools | ||
and libraries for writing high performance, scalable, user-mode storage applications. | ||
download_url: https://github.com/spdk/spdk/releases | ||
name: SPDK | ||
optional_hidden_info: | ||
other_info: No ARM64 specific release notes and binaries are available. Need to | ||
build and install it from source from git repository. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: null | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://spdk.io/doc/getting_started.html | ||
partner_content: null | ||
homepage_url: https://spdk.io/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 30/12/2022 | ||
version_number: 22.09 | ||
works_on_arm: true | ||
- category: AI/ML | ||
description: TensorFlow is an end-to-end open-source platform for machine learning. | ||
download_url: https://pypi.org/project/tensorflow/2.15.0/#files | ||
name: Tensorflow | ||
optional_hidden_info: | ||
other_info: From TensorFlow 2.10 onwards, Linux CPU-builds for Aarch64/ARM64 processors | ||
are built, maintained, tested and released by a third party "AWS". Installing | ||
the tensorflow package on an ARM machine installs AWS's tensorflow-cpu-aws package. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://www.tensorflow.org/install/pip#linux | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: https://community.arm.com/arm-community-blogs/b/tools-software-ides-blog/posts/aarch64-docker-images-for-tensorflow-and-pytorch | ||
official_docs: https://www.tensorflow.org/lite/guide/build_arm | ||
partner_content: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-graviton-tensorflow.html | ||
homepage_url: https://www.tensorflow.org/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 7/9/2022 | ||
version_number: 2.10.0 | ||
works_on_arm: true | ||
- category: Databases | ||
description: Data lakehouse is a new, open data management architecture that combines | ||
the flexibility, cost-efficiency, and scale of data lakes with the data management | ||
and ACID transactions of data warehouses, enabling business intelligence (BI) | ||
and machine learning (ML) on all data. | ||
name: Data-Lakehouse | ||
optional_hidden_info: | ||
other_info: null | ||
release_notes__arm_supported: https://www.databricks.com/blog/2022/04/18/announcing-databricks-support-for-aws-graviton2-with-up-to-3x-better-price-performance.html | ||
optional_info: | ||
alternative_options: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://docs.databricks.com/en/compute/graviton.html | ||
partner_content: https://www.databricks.com/blog/2022/04/18/announcing-databricks-support-for-aws-graviton2-with-up-to-3x-better-price-performance.html | ||
homepage_url: https://www.databricks.com/product/data-lakehouse | ||
support_caveats: null | ||
product_url: https://www.databricks.com/product/data-lakehouse | ||
release_date_on_arm: 01/09/2022 | ||
vendor: Databricks | ||
works_on_arm: true | ||
- category: Container Registry | ||
description: Dragonfly is an open source P2P-based file distribution and image acceleration | ||
system. | ||
download_url: https://github.com/dragonflyoss/Dragonfly2/releases | ||
name: Dragonfly | ||
optional_hidden_info: | ||
other_info: No ARM64 specific release notes are available. The first binary for | ||
ARM64 was released from v2.0.5 version. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://github.com/dragonflyoss/Dragonfly2/releases/tag/v2.0.5 | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://d7y.io/docs/next/getting-started/quick-start/ | ||
partner_content: null | ||
homepage_url: https://d7y.io/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 4/8/2022 | ||
version_number: 2.0.5 | ||
works_on_arm: true | ||
- category: Security & Compliance | ||
description: Falco is a cloud native runtime security tool for Linux operating systems. | ||
download_url: https://falco.org/docs/install-operate/download/ | ||
name: Falco | ||
optional_hidden_info: | ||
other_info: null | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://falco.org/blog/falco-0-32-1/ | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://falco.org/docs/install-operate/installation/ | ||
partner_content: https://aws.amazon.com/blogs/containers/implementing-runtime-security-in-amazon-eks-using-cncf-falco/ | ||
homepage_url: https://falco.org/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 11/07/2022 | ||
version_number: 0.32.1 | ||
works_on_arm: true | ||
- Params: | ||
category: Storage | ||
description: The Storage Performance Development Kit (SPDK) provides a set of | ||
tools and libraries for writing high performance, scalable, user-mode storage | ||
applications. | ||
download_url: https://github.com/spdk/spdk/releases | ||
name: SPDK | ||
optional_hidden_info: | ||
other_info: No ARM64 specific release notes and binaries are available. Need | ||
to build and install it from source from git repository. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: null | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://spdk.io/doc/getting_started.html | ||
partner_content: null | ||
homepage_url: https://spdk.io/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 30/12/2022 | ||
version_number: 22.09 | ||
works_on_arm: true | ||
- Params: | ||
category: AI/ML | ||
description: TensorFlow is an end-to-end open-source platform for machine learning. | ||
download_url: https://pypi.org/project/tensorflow/2.15.0/#files | ||
name: Tensorflow | ||
optional_hidden_info: | ||
other_info: From TensorFlow 2.10 onwards, Linux CPU-builds for Aarch64/ARM64 | ||
processors are built, maintained, tested and released by a third party "AWS". | ||
Installing the tensorflow package on an ARM machine installs AWS's tensorflow-cpu-aws | ||
package. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://www.tensorflow.org/install/pip#linux | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: https://community.arm.com/arm-community-blogs/b/tools-software-ides-blog/posts/aarch64-docker-images-for-tensorflow-and-pytorch | ||
official_docs: https://www.tensorflow.org/lite/guide/build_arm | ||
partner_content: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-graviton-tensorflow.html | ||
homepage_url: https://www.tensorflow.org/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 7/9/2022 | ||
version_number: 2.10.0 | ||
works_on_arm: true | ||
- Params: | ||
category: Databases | ||
description: Data lakehouse is a new, open data management architecture that combines | ||
the flexibility, cost-efficiency, and scale of data lakes with the data management | ||
and ACID transactions of data warehouses, enabling business intelligence (BI) | ||
and machine learning (ML) on all data. | ||
name: Data-Lakehouse | ||
optional_hidden_info: | ||
other_info: null | ||
release_notes__arm_supported: https://www.databricks.com/blog/2022/04/18/announcing-databricks-support-for-aws-graviton2-with-up-to-3x-better-price-performance.html | ||
optional_info: | ||
alternative_options: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://docs.databricks.com/en/compute/graviton.html | ||
partner_content: https://www.databricks.com/blog/2022/04/18/announcing-databricks-support-for-aws-graviton2-with-up-to-3x-better-price-performance.html | ||
homepage_url: https://www.databricks.com/product/data-lakehouse | ||
support_caveats: null | ||
product_url: https://www.databricks.com/product/data-lakehouse | ||
release_date_on_arm: 01/09/2022 | ||
vendor: Databricks | ||
works_on_arm: true | ||
- Params: | ||
category: Container Registry | ||
description: Dragonfly is an open source P2P-based file distribution and image | ||
acceleration system. | ||
download_url: https://github.com/dragonflyoss/Dragonfly2/releases | ||
name: Dragonfly | ||
optional_hidden_info: | ||
other_info: No ARM64 specific release notes are available. The first binary | ||
for ARM64 was released from v2.0.5 version. | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://github.com/dragonflyoss/Dragonfly2/releases/tag/v2.0.5 | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://d7y.io/docs/next/getting-started/quick-start/ | ||
partner_content: null | ||
homepage_url: https://d7y.io/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 4/8/2022 | ||
version_number: 2.0.5 | ||
works_on_arm: true | ||
- Params: | ||
category: Security & Compliance | ||
description: Falco is a cloud native runtime security tool for Linux operating | ||
systems. | ||
download_url: https://falco.org/docs/install-operate/download/ | ||
name: Falco | ||
optional_hidden_info: | ||
other_info: null | ||
release_notes__recommended_minimum: null | ||
release_notes__supported_minimum: https://falco.org/blog/falco-0-32-1/ | ||
optional_info: | ||
alternative_options: null | ||
arm_recommended_minimum_version: | ||
release_date: null | ||
version_number: null | ||
getting_started_resources: | ||
arm_content: null | ||
official_docs: https://falco.org/docs/install-operate/installation/ | ||
partner_content: https://aws.amazon.com/blogs/containers/implementing-runtime-security-in-amazon-eks-using-cncf-falco/ | ||
homepage_url: https://falco.org/ | ||
support_caveats: null | ||
supported_minimum_version: | ||
release_date: 11/07/2022 | ||
version_number: 0.32.1 | ||
works_on_arm: true |
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32 changes: 32 additions & 0 deletions
32
themes/arm-design-system-hugo-theme/layouts/partials/package-display/_date-formating.html
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{{/* | ||
|
||
Takes in a date in format dd/mm/yyyy and tranlates to '2021 January' format. | ||
|
||
*/}} | ||
|
||
|
||
<!-- Lookup table --> | ||
{{ $monthNumberToName := dict | ||
"01" "January" "1" "January" | ||
"02" "February" "2" "February" | ||
"03" "March" "3" "March" | ||
"04" "April" "4" "April" | ||
"05" "May" "5" "May" | ||
"06" "June" "6" "June" | ||
"07" "July" "7" "July" | ||
"08" "August" "8" "August" | ||
"09" "September" "9" "September" | ||
"10" "October" | ||
"11" "November" | ||
"12" "December" }} | ||
|
||
{{ $date := split . "/" }} | ||
{{ $yyyy := index $date 2 }} | ||
{{ $mm := index $date 1 }} | ||
|
||
{{ $monthName := index $monthNumberToName $mm }} <!-- Translate month number to Name --> | ||
{{ $dateFormatted := print $yyyy " " $monthName }} <!-- Format the date --> | ||
|
||
<!-- Return --> | ||
{{ $dateFormatted }} | ||
|
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46
themes/arm-design-system-hugo-theme/layouts/partials/package-display/row-main.html
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||
<tr id="row-{{.id_index}}" | ||
class="c-table-row main-sw-row search-div tag-{{.category}}" | ||
{{/* Need to translate date into sortable format string like data-date="20210101" data-date="{{if .metadata.Params.release_date_on_arm}} {{.metadata.Params.release_date_on_arm}} {{else}} {{.metadata.Params.}}" */}} | ||
data-title="{{.metadata.Params.name}}" | ||
onclick="rowClickHandler(this);"> | ||
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<td> | ||
{{/* Icon space */}} | ||
</td> | ||
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<td class="search-title"> | ||
<div class="package-name"> | ||
{{ .metadata.Params.name }} | ||
</div> | ||
</td> | ||
|
||
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||
<td> | ||
<div class="date-supported"> | ||
{{if .metadata.Params.works_on_arm}} | ||
{{if .metadata.Params.release_date_on_arm}} | ||
{{ partial "package-display/_date-formating.html" .metadata.Params.release_date_on_arm }} | ||
{{else}} | ||
{{ partial "package-display/_date-formating.html" .metadata.Params.supported_minimum_version.release_date}} | ||
{{end}} | ||
{{else}} | ||
Not yet supported | ||
{{end}} | ||
</div> | ||
</td> | ||
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<td> | ||
<div class="download-link"> | ||
{{if .metadata.Params.download_url}} | ||
{{ .metadata.Params.download_url}} | ||
{{else}} | ||
{{.metadata.Params.product_url}} | ||
{{end}} | ||
</div> | ||
</td> | ||
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||
</tr> |
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