Cloud migration services that move workloads without stopping the business.
Tensech assesses your estate, chooses the right migration path for each application, and executes data movement and cut-over in controlled stages, so you reach the cloud without downtime drama or lock-in.
Most migrations stall at the plan, or hurt at the cut-over.
Moving from a data center or shared hosting to the cloud looks simple on a slide. In practice, applications have hidden dependencies, databases are large and always changing, and nobody agrees on what can safely be switched off.
Teams then face two bad options: lift everything unchanged and pay cloud prices for the same problems, or attempt a full rewrite that takes years. Both leave the business exposed while the old system keeps running.
- Unknown dependencies between applications and databases
- One-size-fits-all migration plans that ignore app differences
- Large databases that cannot tolerate long freeze windows
- Cut-overs with no rehearsed rollback
- Hidden lock-in to a single provider or proprietary service
Assess first, choose per application, cut over in stages.
We begin with an assessment of applications, data, dependencies and risk, then choose a path for each workload instead of one for the whole estate. Some applications are moved as they are, some are adjusted to use managed services, and a few are worth restructuring.
Cut-overs are rehearsed, data is synchronized ahead of the switch and rollback is planned before it is needed. We keep architectures portable where it matters, so the move to one cloud does not become a trap.
Cloud migration capabilities.
From first assessment to a stable, optimized estate after cut-over.
Assessment and cloud migration strategy
A clear inventory and a recommended path for every application, with risk and effort made visible.
- Application and dependency discovery
- Migration path per workload
- Risk, compliance and cost review
- Sequenced migration roadmap
Rehost, replatform and refactor
The right level of change for each application, not the same level for all.
- Rehost: move with minimal change
- Replatform: adopt managed services
- Refactor: restructure for cloud-native
- Retire or replace low-value systems
Data migration
Databases and files moved with validation, synchronization and minimal freeze windows.
- Initial load and ongoing replication
- Schema and data validation
- Storage and backup design
- Compliance-aware data handling
Cut-over planning
Rehearsed switches with agreed success criteria and a rollback path.
- Cut-over runbooks and rehearsals
- Traffic shifting and DNS planning
- Go and no-go checkpoints
- Rollback and contingency plans
Cloud modernization
Gradual improvement of migrated systems toward cloud-native architecture.
- Service decomposition where it pays off
- Containerization with Docker and Kubernetes
- Managed databases and messaging
- CI/CD and infrastructure as code
Post-migration operations
The work after go-live that decides whether the move was worth it.
- Observability and alerting
- Cost review and right-sizing
- Security hardening
- Runbooks and team handover
Platforms and practices behind our migrations.
We work across the major clouds and the automation that keeps a migrated estate repeatable.
Cloud
- AWS
- Azure
- Google Cloud
- DigitalOcean
Platform
- Kubernetes
- Docker
- Terraform
- GitHub Actions
Data
- PostgreSQL
- MongoDB
- Redis
- Kafka
Practices
- Infrastructure as code
- Staged cut-over
- Observability
- Rollback planning
A disciplined path from audit to stable cloud operations.
Each stage ends with something verified, so risk is retired step by step.
Requirements and infrastructure audit
We understand workloads, constraints and goals, then audit the current estate and its dependencies.
Target architecture and migration path
We design the landing zone and choose rehost, replatform or refactor for each application.
Build the foundation as code
Networking, access and environments are created with infrastructure as code before anything moves.
Migrate data and workloads in waves
Lower-risk applications go first, data is replicated and validated, and each wave is tested before the next.
Cut over, re-architect and optimize
We switch traffic with rollback ready, then keep re-architecting for cost and reliability.
What a well-run migration delivers.
Including results from a live Tensech platform migration.
100% migration to a dedicated platform
For Inspira Holding we moved a B2B platform from legacy shared infrastructure to a customer-owned, cloud-native one.
Issue detection up to 80% faster
The observability stack built with that migration cut the time needed to detect production issues.
Full ownership of the platform
The Inspira migration ended with full IP transfer, removing dependence on shared infrastructure.
Cut-overs without drama
Rehearsed, staged switches with a rollback path keep the business running through the move.
Portability, not lock-in
Portable architecture and proactive planning keep your options open after the migration.
Relevant work in production.
Real platforms, real results. Read how these projects were delivered.
Cloud migration services: common questions.
What buyers usually ask before starting a project with us.
What is the difference between rehost, replatform and refactor?
Rehosting moves an application to the cloud with little change. Replatforming makes targeted changes, such as moving to a managed database. Refactoring restructures the application to be cloud-native, which costs more but unlocks the most benefit.
How do you migrate without downtime?
We replicate data ahead of the switch, rehearse the cut-over and shift traffic in stages with a rollback path ready. In the Inspira engagement we planned for a zero-downtime cut-over. Exact downtime depends on the application and data.
Do we have to migrate everything?
No. Assessment often finds systems that are better retired, replaced or left in place. We recommend a path per application and sequence the work by risk and value.
How do you avoid cloud vendor lock-in?
We favor portable building blocks such as containers and infrastructure as code, and we are deliberate about where proprietary managed services are worth the trade-off. We work across AWS, Azure and Google Cloud.
Can you move a data center workload that has no documentation?
Yes, though discovery takes longer. We trace dependencies from running systems, traffic and data flows, and document the result as part of the assessment.
What happens after the migration?
We set up observability, review cost and tighten security, then hand over runbooks to your team. Many clients keep us on for continued optimization, as ZentrumHub has.
Ready to plan a migration that does not put the business at risk?
Share what you run today and what is driving the move. We will recommend a path and sequence for each application.