Secure Migration Strategy
We don't do blind "Lift & Shift". We design the migration path by evaluating dependencies, data latency, and tolerable downtime windows.
We plan and execute migrations from on-premise environments or other providers to cloud or Kubernetes, reducing risk, validating data and preparing rollback before the cutover.
WE CAN HELP IF
WHAT WE DO
We don't do blind "Lift & Shift". We design the migration path by evaluating dependencies, data latency, and tolerable downtime windows.
We build secure and scalable clusters (EKS, GKE, AKS, OKE) tailored strictly to your workloads.
We execute database synchronisation and DNS switching during the lowest traffic window, with a previously defined and tested contingency and rollback plan.
SCOPE
Exhaustive mapping of servers, databases, networks, and hidden dependencies.
The new target environment is born 100% as code (Terraform) to ensure cleanliness and repeatability.
Continuous replication of databases and file storage long before the cutover.
If migrating to K8s, we implement strict network policies and access controls (RBAC).
Technical guarantee to revert to the old system in minutes if something fails during the cutover window.
Performance validation of the new environment before routing real traffic.
OUTCOMES
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 production-ready, fully secured Kubernetes cluster from Day 1.
Reduce migration risk through a rollback plan tested before the cutover window.
Modernise the tech stack, opening the door to real automated deployments.
HOW IT WORKS
We evaluate the starting point (As-Is) and design the target architecture (To-Be) in the new provider or cluster.
We spin up the new infrastructure and begin replicating data in the background without affecting the live service.
We deploy the application in the new environment and perform isolated smoke and load tests.
During a low-traffic window, we sync the final data delta, redirect traffic, and aggressively monitor.
WHAT YOU GET
WHO THIS IS FOR
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.
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.
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.
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.
Tell us what is happening. We will review the context before recommending this service or suggesting a better alternative.