Cloud Migration
We move your on-premise infrastructure to the cloud securely and without disruptions. We work with AWS, Azure, and Google Cloud.
The cloud promises scalability, cost reduction, and lower operational overhead. All of that is true — if it's done right. Poorly migrated, you end up paying more than on-premise, with the same operational complexity and a new dependency on the provider. Our approach starts by evaluating WHETHER to migrate (and what to migrate), before defining HOW to migrate.
What's included?
- Migration analysis and planning with minimal downtime.
- Cost and performance-optimized cloud architecture (AWS, Azure, GCP).
- Data, application, and service migration with full validation.
- Virtual network design (VPC), security (IAM, Security Groups), and connectivity.
- Infrastructure as code (Terraform, CloudFormation) for reproducibility.
- Post-migration optimization: right-sizing, reserved instances, cost savings.
Ideal for
Companies with aging servers and rising on-premise maintenance costs, businesses with variable workloads that need to scale elastically, organizations with disaster recovery requirements that the cloud simplifies, and startups or innovation teams that want deployment speed without buying hardware upfront.
How we work
We start with an assessment of your current infrastructure: what applications are running, what dependencies do they have, what data do they move? We classify each workload into a strategy: lift-and-shift (move as-is), re-platform (minimal changes during migration), refactor (redesign for cloud-native), or stay on-premise if the cloud doesn't apply. We migrate in waves: simple workloads first to validate, then the critical ones. Each wave has a defined rollback plan.
Frequently asked questions
AWS, Azure, or Google Cloud? Which one is best?
AWS is the most mature and has the largest ecosystem, ideal for almost any case. Azure integrates naturally if you already use Microsoft 365, Active Directory, or Microsoft products. GCP stands out in analytics, big data, and ML. We evaluate this based on your current stack, team, and where the best cost/benefit ratio is for your workloads. Sometimes the answer is multi-cloud.
Can I save money by migrating to the cloud?
It depends on the architecture. Lift-and-shift typically costs similar to or more than on-premise. Real savings appear when you use cloud-native services (serverless, managed databases, auto-scaling) and optimize with reserved instances or savings plans. We perform a TCO (total cost of ownership) analysis with your real data before migrating so you go in with realistic expectations.
How much downtime does migrating involve?
For stateless applications or those with replicable data, downtime can be a matter of minutes (DNS cutover). For large databases with heavy traffic, prior replication strategies and cutover allow for windows of 1-4 hours. For critical cases that can't have any downtime, dual-write or multi-region architectures are used, but the cost goes up. We define this based on criticality.