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Structured Azure migrations for enterprises. Lift-and-shift where it makes sense, re-platforming where needed, re-architecting where it pays off, along the Microsoft Cloud Adoption Framework.
Quelle
VMs / Bare Metal
On-Prem · Hyper-V · VMware
App Service / AKS
PaaS · Container
Quelle
SQL Server / Oracle
Self-managed RDBMS
Azure SQL / PostgreSQL
Managed · Backup · HA
Quelle
File Server / NAS
SMB · NFS
Blob / Files
Object · Geo-Redundant
Cloud migrations delivered for
If any of these resonate, a focused migration is the fastest way out.
Hardware EOL, expiring co-location contracts or a consolidation mandate creates pressure, but nobody knows how to move thousands of workloads in an orderly way.
Lift-and-shift was fast, but now you pay for over-provisioned VMs, unused snapshots and egress traffic nobody anticipated.
Set up a new Azure platform, properly connect existing on-premise workloads, keep regulated data local. Drawing the right line between cloud and data centre is not trivial.
30-50%
Cloud costs saved
Right-sizing, reserved instances and workload consolidation after the initial stabilisation phase.
0 h
Planned downtime
Blue-green cutovers and database replication keep operations running throughout the migration.
5-7
Workloads per wave
Wave-based migration with clear acceptance criteria, no big bang, controlled increments.
Proven approach for enterprises. Every phase produces concrete artefacts you can use directly.
Workload discovery, dependency mapping, 6R assessment. Output: prioritised migration backlog.
Your time
4-8 h
Our work
2-4 weeks
Landing zone, identity model, networking topology, security baselines. Workloads grouped into waves.
Your time
1-2 workshops
Our work
3-6 weeks
Per wave: replication, test cutover, production cutover, hyper-care. Parallel to your daily operations.
Your time
cutover night
Our work
2-4 weeks per wave
Cost optimisation, re-platforming to managed services, container migration where it pays off.
Your time
0 min
Our work
ongoing
Tagging discipline, budget alerts, patch management, disaster recovery, operational maturity.
Your time
handover workshops
Our work
knowledge transfer
Workload discovery, dependency mapping, 6R assessment. Output: prioritised migration backlog.
Your time
4-8 h
Our work
2-4 weeks
Landing zone, identity model, networking topology, security baselines. Workloads grouped into waves.
Your time
1-2 workshops
Our work
3-6 weeks
Per wave: replication, test cutover, production cutover, hyper-care. Parallel to your daily operations.
Your time
cutover night
Our work
2-4 weeks per wave
Cost optimisation, re-platforming to managed services, container migration where it pays off.
Your time
0 min
Our work
ongoing
Tagging discipline, budget alerts, patch management, disaster recovery, operational maturity.
Your time
handover workshops
Our work
knowledge transfer
Workload discovery, dependency mapping, 6R assessment. Output: prioritised migration backlog.
Your time
4-8 h
Our work
2-4 weeks
Landing zone, identity model, networking topology, security baselines. Workloads grouped into waves.
Your time
1-2 workshops
Our work
3-6 weeks
Per wave: replication, test cutover, production cutover, hyper-care. Parallel to your daily operations.
Your time
cutover night
Our work
2-4 weeks per wave
Cost optimisation, re-platforming to managed services, container migration where it pays off.
Your time
0 min
Our work
ongoing
Tagging discipline, budget alerts, patch management, disaster recovery, operational maturity.
Your time
handover workshops
Our work
knowledge transfer
Microsoft ships a complete toolset for structured migrations. We know which service to apply when.
Discovery & Assessment
Workload-Discovery, Abhängigkeits-Mapping und Right-Sizing-Empfehlungen für VMs, Datenbanken und Webanwendungen. Basis jeder Migration.
Datenbank-Replikation
Online-Migration von SQL Server, Oracle, MySQL und PostgreSQL nach Azure Database — minimale Downtime durch kontinuierliche Replikation.
Disaster Recovery
Replikation von VMs und physischen Servern für Disaster Recovery. Während der Migration: Test-Failover und kontrollierter Cutover.
Backup-Strategie
Konsolidierte Backup-Verwaltung über alle Workloads. Compliance-konforme Aufbewahrung, automatisierte Recovery-Tests.
FinOps
Tagging-Strategie, Budget-Alerts und Reserved-Instance-Optimierung. Sorgt dafür, dass eure Cloud-Kosten transparent und steuerbar bleiben.
Best Practices
Kontinuierliche Empfehlungen für Performance, Sicherheit, Verfügbarkeit und Kosten. Wir setzen sie als Teil des Hyper-Care konsequent um.
A proven layout for enterprise-grade Azure workloads. Modular, scalable, observable.
Front Door
Global routing + CDN
API Management
Gateway + Throttling
Application Gateway
WAF + L7
Virtual Machines
IaaS · Lift & Shift
App Service
PaaS · Web + API
AKS
Kubernetes
Container Apps
Worker Containers
Functions
Serverless
Azure SQL / PostgreSQL
Managed RDBMS
Cosmos DB
Multi-model NoSQL
Blob Storage
Object & Files
Service Bus
Async messaging
Event Hubs
Streaming
Virtual Network
Isolation
Private Endpoints
Service-Anbindung
VNet Gateway
Hybrid-Verbindung
Entra ID
Identity
Managed Identities
Workload identity
Key Vault
Secrets & Keys
Application Insights
APM
Log Analytics
Observability
Backups, identities, monitoring, the topics that typically become important only at the first cutover.
Identity and Access Management (IAM) involves managing user identities and their permissions to ensure secure access to cloud resources. This includes creating and managing users, groups, and roles, as well as implementing access control policies.
Monitoring and Management involve continuously monitoring system performance and availability, as well as managing cloud resources. This includes using monitoring tools to collect metrics and logs, set up alerts, and generate reports to ensure the health and efficiency of the IT infrastructure.
Security services include measures and technologies aimed at protecting the cloud infrastructure from threats and unauthorized access. This includes firewalls, encryption, threat detection and prevention, identity and access management, and compliance checks.
Developer tools are software solutions and platforms that help developers efficiently design, build, test, and deploy applications. These tools include version control systems, integrated development environments (IDEs), CI/CD pipelines, debuggers, and other aids to optimize the development process.
AI and Machine Learning involve technologies and services that enable learning from large amounts of data and making predictions. This includes creating and training models, providing machine learning algorithms, and utilizing AI services to automate and enhance business processes.
Analytics services offer tools and platforms for collecting, processing, and analyzing large amounts of data. They enable generating insights and reports that help in decision-making. These services include data processing and visualization tools, as well as data warehousing and big data analytics platforms.
Six scenarios where the cloud investment provably pays back, beyond raw compute cost.
By migrating to the cloud, companies can significantly reduce their IT costs. This is enabled by the pay-as-you-go model, where you only pay for the resources actually used, as well as saving on hardware investments and reducing operational costs for maintenance and energy.
The cloud offers the ability to scale resources quickly and efficiently to meet changing demands. This is particularly beneficial for companies that need to handle seasonal or unpredictable peaks in demand, as they can add or remove capacity at any time.
Cloud providers invest heavily in security measures and offer advanced security features such as data encryption, identity and access management (IAM), and regular security updates. This allows companies to improve their security posture and more easily meet compliance requirements.
Cloud services offer robust solutions for data backup and recovery, ensuring business continuity in the event of disasters or outages. With features such as geographically distributed data centers, companies can protect their data and applications from loss and minimize downtime.
By utilizing cloud services, companies can access new technologies faster and drive innovation. The cloud provides access to a variety of tools and platforms for artificial intelligence, machine learning, big data, and IoT, accelerating the development of new products and services.
The cloud enables teams to access resources from anywhere and at any time, improving collaboration and productivity. With cloud-based collaboration tools, employees can seamlessly work together, share files, and edit projects in real-time, regardless of their location.
Mertkan Henden
Cloud engineering consultant · Heilbronn
Three traps I see in almost every migration: hardcoded on-premise IPs in old Java apps, forgotten nightly batch jobs with no owner, and data residency requirements nobody checked in the pre-assessment. My job before every cutover is to find those three, before they wake someone up at three in the morning.
— Mertkan Henden