

Agility, Security, Scalability
and Resilience
These characteristics are linked to the digital transformation, sought
by all companies that want to differentiate themselves in today’s world.
To achieve them, it is necessary to invest in modern technologies,
available on Microsoft Azure.
An effective digital transformation of a Datacenter begins with migration
to the Cloud. It is a journey for higher value organizations, changing the
status quo. The “as-is” or “lift and shift” migration is the first recommended step, already freeing up a series of features as a service Azure for more optimized workloads.
As a second step, it is already possible to transform and modernize migrated environments, as well as use infrastructure resources such as code, natural
to Azure. In this journey, the company gains maturity, trains and certifies its professionals, allowing the full use of Cloud.
At the beginning of the journey, it is necessary to assess which degree of transformation will be performed on the applications to be migrated.
The graph shows a evolution path and strategies applicable to
each degree.

Azure does not “buy stock”, allowing you to pay only for what is actually used.

4MSTech has its own methodology for Datacenter migration, based on
Azure CAF (Cloud Adoption Framework). This methodology has been extensively tested and perfected in the many successful projects
already delivered.
The methodology provides for at least 4 project phases:
- Planning
- Settings
- Migration
- Implementation
Migration is typically done in waves, looking to migrate sets of servers
that compose each application and avoiding traffic unnecessary between remaining on-premises servers with those already migrated.
Projects are always delivered using best practices security and
governance and knowledge transfer to customer teams.

Infrastructure
and Applications
- Windows Server and Linux on IaaS
- Disaster Recovery and Backup
- File Server
- Windows Virtual Desktop
- Azure Monitor (modern management with
Log Analytics and Application Insights)
Data and Security
- SQL Server on IaaS and PaaS, including Managed Instances
- Oracle for SQL Server or PostgreSQL (can be like PaaS)
- Security:
- Bastion
- Security Center
- Sentinel
- AD Connect / Azure AD