Fait au Canada

Bibliothèque de logiciels libres

Découvrez des logiciels libres fondés ou développés au Canada — des projets académiques aux outils gouvernementaux et aux initiatives communautaires.

Filtres actifs : Recherche : "platform" × Catégorie : Development Tools × Province : Ontario × Tout effacer
8 projets trouvés — page 1 de 2
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Terraform AzureRM MSSQL Server

Development Tools
Statistics Canada Ottawa, Ontario Other

Terraform module for provisioning managed MSSQL servers in Azure. The project separates server-level infrastructure concerns so teams can compose larger cloud-native data platforms.

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Terraform AzureRM MSSQL Elastic Pool

Development Tools
Statistics Canada Ottawa, Ontario Other

Terraform module for Azure MSSQL elastic pools, enabling shared database capacity to be deployed consistently. It is useful for data platforms that run many SQL workloads with controlled infrastructure definitions.

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Kerberos Sidecar Injector

Development Tools
Statistics Canada Ottawa, Ontario Apache-2.0

Kubernetes admission tooling that injects Kerberos sidecars into workloads that need secure authentication. It supports enterprise data-science and analytics platforms where legacy identity systems must integrate with containers.

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Kubeflow Electron App

Development Tools
Statistics Canada Ottawa, Ontario Other

Small Electron desktop application for working with Kubeflow environments. It provides a client-side wrapper that can make Kubeflow workflows easier for analysts or platform users to access.

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AAW Environment Terraform

Development Tools
Statistics Canada Ottawa, Ontario Other

Terraform module for per-environment Azure configuration in Statistics Canada Advanced Analytics Workspaces. It helps platform teams keep analytics workspace environments reproducible and easier to audit.

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AAW Toleration Injector

Development Tools
Statistics Canada Ottawa, Ontario Other

Kubernetes component that injects tolerations for Advanced Analytics Workspace workloads. It helps data-science notebooks and jobs land on appropriate nodes while keeping scheduling policy centralized.

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