Your physical data centre is obsolete and hardware requires renewal.
Cloud and Kubernetes migration with a clear transition plan
A VMware exit—or any migration from on-premise or another provider—starts with dependencies and target options, not a destination assumption. We assess workloads, sequence the move and define cutover and rollback before execution.

Signals that this service resolves your bottlenecks
You want to leave your current cloud provider due to costs or poor support.
You decided to adopt Kubernetes but lack the expertise to design the cluster from scratch.
The migration scares you because a prolonged outage would lose customers.
You need to move large data volumes while minimising the risk of loss or inconsistency during the transition.
Your internal team is focused on product and lacks bandwidth for a massive migration project.
How we approach this engineering domain
Secure Migration Strategy
We don't do blind "Lift & Shift". We design the migration path by evaluating dependencies, data latency, and tolerable downtime windows.
Kubernetes (K8s) Adoption
We build secure and scalable clusters (EKS, GKE, AKS, OKE) tailored strictly to your workloads.
Execution & Cutover
We execute database synchronisation and DNS switching during the lowest traffic window, with a previously defined and tested contingency and rollback plan.
What the technical work covers
Inventory and Discovery
Exhaustive mapping of servers, databases, networks, and hidden dependencies.
IaC provisioning
We automate the target environment with Terraform where it adds traceability, review and repeatability.
Data Migration
Continuous replication of databases and file storage long before the cutover.
Kubernetes Hardening
If migrating to K8s, we implement strict network policies and access controls (RBAC).
Rollback plan
We define conditions, owners and mechanisms for reverting; feasible timing depends on data, dependencies and the change window.
Load Testing
Performance validation of the new environment before routing real traffic.
Direct impact on production reliability
Complete a complex migration without the end-user experiencing traumatic downtime.
Use the move as an opportunity to eliminate technical debt and zombie servers.
Obtain a Kubernetes target with production requirements, security decisions and operating responsibilities documented.
Reduce migration risk through a rollback plan tested before the cutover window.
Modernise the tech stack, opening the door to real automated deployments.
How we work alongside your team
Analysis and Design
We evaluate the starting point (As-Is) and design the target architecture (To-Be) in the new provider or cluster.
Synchronisation
We spin up the new infrastructure and begin replicating data in the background without affecting the live service.
Testing and Validation
We deploy the application in the new environment and perform isolated smoke and load tests.
The Cutover
During a low-traffic window, we sync the final data delta, redirect traffic, and aggressively monitor.
Code and runbooks that remain 100% in your hands
When it makes strategic sense to engage
This service is for you if:
- ✓Companies operating on Bare Metal (physical servers) needing to jump to the public cloud.
- ✓Startups that began on simple clouds (DigitalOcean, Heroku) and must migrate to AWS/GCP/OCI for maturity.
- ✓Engineering teams ready for Kubernetes but demanding flawless cluster design.
We do not recommend it if:
- ✕Small teams with simple monoliths where Kubernetes adds more complexity than benefit.
- ✕Migrations of legacy closed transactional ERPs or Mainframes from the 90s.
FREQUENTLY ASKED QUESTIONS
When does it NOT make sense to migrate to Kubernetes?
If you have a very small team, a single monolithic app with stable traffic, and your main issue is time, Kubernetes will add unmanageable cognitive load. In those cases, migrating to managed PaaS or simple containers (App Runner, Cloud Run) is much smarter.
How do you choose between EKS, AKS, GKE, or OKE?
It depends on your ecosystem. EKS (AWS) is the industry standard. GKE (Google) is the most technologically mature. OKE (Oracle) offers an aggressive performance/cost ratio and is ideal if you heavily rely on Oracle DBs. We choose based on your business, not hype.
How is data managed during the cutover?
We separate compute from state. Databases are replicated in real-time to the new environment weeks before migration. On cutover day, we only need to sync the final milliseconds (the "delta") and switch DNS, reducing downtime to minutes.
Will my monthly operation costs increase?
Server-level costs usually consolidate and drop, but operational overhead (observability tools, load balancers) may rise slightly in the Cloud. We calculate the true TCO (Total Cost of Ownership) before moving a single byte so there are no surprises.
Ready to optimize your infrastructure?
Let us review the technical context of your platform before recommending an architectural roadmap or proposing the best path forward.
