AWS Migration
EC2, storage, networking, security groups, load balancing, managed services, landing-zone alignment and operational handover.
Discuss AWS migration →
MIGRATION FACTORY
Move workloads with a repeatable plan, not a one-off scramble.
Inventory, dependency mapping, automation, wave controls, rollback and post-cutover validation for infrastructure migrations.
Azure Migration
Workload assessment, target mapping, identity/network dependencies, automation and controlled cutover into Microsoft Azure.
Discuss Azure migration →Google Cloud Migration
GCP workload planning, VM and platform migration, connectivity, automation and readiness validation.
Discuss GCP migration →RHEL Upgrade Factory
Automated prechecks and supported Linux modernization paths such as RHEL 7→8, 8→9 and 9→10 when vendor and application prerequisites are met.
Discuss Linux modernization →Windows Modernization
Version upgrades, rehydration, patch orchestration and repeatable checks using approved enterprise tooling and automation.
Discuss Windows migration →Data Center Lift & Shift
Server, application and data movement between sites or into cloud, with wave planning and business validation.
Discuss data-center migration →
AUTOMATION-FIRST
Ansible as the repeatability layer.
Where appropriate, GraceITS uses Ansible and infrastructure-as-code to standardize discovery, prechecks, configuration, migration tasks, validation and reporting. Qualys or Tanium data can also be used as inventory and remediation inputs when those platforms are already part of the customer environment.
Discover→Classify→Precheck→Automate→Migrate→Validate→Report
DELIVERABLES
What a migration engagement can include
- Current-state inventory and dependency map
- Target architecture and migration-wave plan
- Automated readiness / blocker checks
- Pilot and lower-environment validation
- Production change plan and rollback procedure
- Execution dashboards and exception reporting
- Post-migration technical validation
- SOP, runbook and operations handover