Cloud & Infrastructure · Cloud Migration Services
Cloud migration is the structured process of moving applications, data and workloads from on-premises or legacy infrastructure to a target cloud platform, following an assessment, design, migration and validation sequence. Evolvice plans and executes migrations with a documented workload assessment, a phased cutover plan and post-migration validation, delivered from Stuttgart with nearshore execution capacity from Cairo.
Overview
Most failed migrations are not caused by the cloud platform but by an incomplete dependency map: applications are moved before their downstream integrations, licensing constraints and data residency requirements are understood. We run migrations as a staged program: discovery and workload assessment, target architecture design, migration wave execution, and validation against defined acceptance criteria before decommissioning the source environment.
Diagnostic
Patterns we repeatedly find when auditing migrations that stalled or were executed without a structured plan.
Symptom
Symptom
Symptom
Symptom
Structure
The technical act of copying data or redeploying a workload is rarely what causes migrations to fail. Failures come from dependencies that were not mapped, cutover sequences that were not rehearsed, and rollback plans that existed only on paper.
We treat every migration as a program with an explicit assessment phase, a tested cutover runbook and defined rollback criteria, rather than a one-off lift-and-shift exercise.
Definition
A cloud migration assessment is the structured evaluation of an application portfolio to determine dependencies, technical constraints, target migration strategy (rehost, replatform, refactor, retire) and sequencing priority prior to executing a migration.
Delivery model
A repeatable five-step engagement we run for every migration program.
Automated and manual discovery of applications, integrations, data flows and licensing constraints, producing a dependency map for every in-scope workload.
Each workload classified into rehost, replatform, refactor or retire, with a target architecture, region and network design defined per workload.
Workloads grouped into migration waves sequenced by dependency and risk, with a full dry run against a staging environment before any production cutover.
Production cutover executed against a documented runbook with defined go/no-go checkpoints and a tested rollback procedure.
Functional and performance validation against pre-agreed acceptance criteria, followed by cost right-sizing review and controlled decommissioning of the source environment.
Compliance
How our delivery model maps to the four reference frameworks German enterprises are audited against.
| Control | ISO 27001 | NIS2 | BSI-Grundschutz | GDPR |
|---|---|---|---|---|
| Asset & Data Inventory Prior to Migration | A.5.9 / A.5.12 | Art. 21(2)(d) | CON.9 | Art. 30 |
| Data Residency & Cross-Border Transfer | A.5.34 | Art. 21(2)(d) | OPS.2.2 | Art. 44-46 |
| Secure Configuration of Target Environment | A.8.9 | Art. 21(2)(e) | SYS.1.1 | Art. 32(1)(b) |
| Change & Cutover Management | A.8.32 | Art. 21(2)(b) | OPS.1.1.3 | Art. 32(1)(d) |
| Business Continuity During Migration | A.5.29 / A.5.30 | Art. 21(2)(c) | DER.4 | Art. 32(1)(c) |
Questions & Answers
Definitions, delivery detail and commercial answers in one place — written to be quotable by search and AI answer engines, and readable by your team.
The primary strategies are rehost (lift-and-shift without code changes), replatform (minor optimizations for the target platform), refactor (redesigning the application for cloud-native services) and retire (decommissioning workloads no longer needed), commonly grouped as the "6 Rs" alongside repurchase and retain.
In the cluster
Azure and AWS estates operated against measurable reliability and unit-cost targets.
Part of our Cloud & Infrastructure practiceWe start with a 30-minute diagnostic of your current delivery — at no cost and with no sales pitch. You leave with a written summary of findings either way.