The Cloud Adoption Framework has tools, templates, and assessments that can help you quickly implement technical changes. Use this framework to accelerate your cloud adoption. The following resources can help you in each phase of adoption. These tools, templates, and assessments can be used in multiple phases.
From business planning, to training, to security and governance—find out how to prepare for your Microsoft Azure migration, using the strategic migration assessment and readiness tool (SMART).
Use this checklist to prepare your environment for adoption. The checklist includes preparations for your first migration landing zone, and personalizing the blueprint and expanding it.
Provision and prepare to host workloads being migrated from an on-premises environment into Azure. For more information about this blueprint, see Deploy a migration landing zone.
The Terraform registry website can be filtered to list all of the applicable Cloud Adoption Framework modules, needed to create a landing zone via Terraform.
The Azure Security Benchmark (ASB) provides prescriptive best practices and recommendations to help improve the security of workloads, data, and services on Azure.
The Azure governance visualizer is a PowerShell script. It iterates through Azure tenant's management group hierarchy, down to the subscription level. It captures data from the most relevant Azure governance capabilities—such as Azure Policy, Azure role-based access control (Azure RBAC), and Azure Blueprints. From the collected data, the visualizer shows your hierarchy map, creates a tenant summary, and builds granular scope insights about your management groups and subscriptions.
The Microsoft Product Placemat for Cybersecurity Maturity Model Certification (CMMC) Level 3 (Preview), is an interactive view representing how Microsoft cloud products and services may satisfy requirements for CMMC practices.
Review this checklist for information that helps identify workloads, servers, and other assets in your datacenter. Use this information to help plan your migration.
Build your modern data warehouse using this Azure DevOps project, in this project we have links to assets, code and learning material all intended to help simplify your deployment.
This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Machine Learning Services, and other Azure Big Data services. This project can be found in the following GitHub repo Retail Recommender with Azure Synapse.
Connected sensors, devices, and intelligent operations can transform businesses and enable new growth opportunities. In this project you will get the work items needed to plan and implement your IOT solution using the Azure IoT Platform.
In the real world, many problems can be too complex to be solved by a single machine learning model. Whether that be predicting sales for each individual store, building a predictive maintenence model for hundreds of oil wells, or tailoring an experience to individual users, building a model for each instance can lead to improved results on many machine learning problems.
This accelerator was built to provide developers with all of the resources needed to build a solution to identify the top factors for revenue growth from an e-commerce platform using Azure Synapse Analytics and Azure Machine Learning.
This deployable source code complements and accelerates adoption of best practices for Azure server management services. Use this source code to quickly enable operations management and establish an operations baseline.
Document decisions about operations management in the cloud. Facilitate conversations with the business to ensure alignment regarding SLAs, investment in resiliency, and budget allocation related to operations.
