There are 1 repository under azure-landing-zones topic.
The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture
Terraform module to deploy Azure Landing Zones
The Azure Landing Zones Accelerators PowerShell module
A variation of the Azure OpenAI chat baseline, altered to be deployed specifically into an application landing zone.
Azure Landing Zones Terraform provider
Terraform module to create a Azure Virtual Network module using Cloud Adoption Framework for Azure landing zones
This is the IaaS baseline for Azure landing zones reference implementation as produced by the Azure Architecture Center.
Template to quick deploy Azure Front Door premium with Private Endpoint to Azure App service
The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture
Automation of Azure sandbox subscriptions’ lifecycles within an Enterprise Scale Landing Zone with this innovative project.
A Polygot (Jupyter) Notebook used for deploying Azure Landing Zones utilising the ALZ-Bicep repository.
Converting Azure subscription to a landing zone, configuring tags, identity, policies, shared platform resources, and much more
Exploring Azure policy, access control, and management group deployments as-code
A Go module containing the Azure Landing Zones reference architecture
Terraform module to create a spoke network using the Microsoft Azure Hub-Spoke Architecture
The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture
Azure landing zones configuration and deployment for the Molyneux.IO Azure Platform. Deployed using Bicep and Azure DevOps pipelines.