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High-Level Technical Design Development - 8 days workshop
Creating a High Level Technical Design as per your organizational structure and business needs.
Addressing the technical aspects of a cloud adoption journey should start with a high-level design of your future Azure cloud environment. The Microsoft Cloud Adoption Framework offers a wealth of information, but it can overwhelm and intimidate even experienced cloud professionals. Plus, its collection of practices spans the entire scope of organizations using Azure, leaving it to the customer to choose solutions based on their personal circumstances.
In this engagement, we help you navigate the official Microsoft Cloud Adoption Framework and guide you through decision-making processes to develop a high-level technical design based on Azure services.
We cover topics including: • Aligning on guiding principles • Implementing workload and environment isolation on your Azure environment. • Setting up naming and tagging • Creating a management hierarchy for your Azure environment. • Automating the creation of Azure cloud landing zones • Setting up identity management and role-based access control • Deploying a (hybrid) network topology • Preparing a shared management stack • Implementing monitoring and alerting • Designing for reliability • Implementing solutions for security and compliance
The workshops can be scheduled to your request. They can be planned one after another or spread over time; all in your own pace. Workshop 1: Workload and Environment Isolation Workshop 2: Identity and Access Workshop 3: Azure Cloud Connectivity Workshop 4: Azure Landing Zone Automation Workshop 5: Azure Management Stack Workshop 6: Security and Compliance for you Azure environment. Workshop 7: High-Availability and Disaster Recovery Workshop 8: Data Protection
We apply our knowledge from the Schuberg Philis proven cloud adoption framework, but each topic is thoughtfully tailored to your organization's functional and non-functional requirements, application landscape, and cloud operating model.