On-Premise → Cloud Migration

Move from on-premise to cloud infrastructure.

On-premise to cloud migration at Empyreal Infotech eliminates CapEx burden, reduces operational costs by 70-90%, and gains compliance flexibility across AWS, Azure, or GCP in 16-24 weeks.

Retire data centers. Replace capital costs with operational efficiency. Cloud gives you scale, resilience, and compliance without owning equipment.

CapEx reduction 70–90%. Timeline 16–24 weeks. Investment $250–400K. Founder-led architecture across AWS, Azure, and GCP.

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AWS · Azure · GCPAuto-scaleSOC2 · HIPAA16–24 weeks
Why Move

Why move to cloud.

Data center operations drain engineering capacity

Hardware procurement, OS patching, network management, power and cooling maintenance. Engineers spend time on infrastructure instead of innovation.

Compliance is outsourced, not owned

AWS, Azure, GCP handle SOC 2, HIPAA, PCI-DSS. Your team focuses on application-level security. Built-in audit trails and encryption.

Scale is automatic, not planned

On-premise: forecast capacity, buy hardware, wait for delivery. Cloud: autoscaling handles traffic spikes in seconds. Disaster recovery is native.

Trade-offs

What cloud changes.

Cost control is your responsibility

No more fixed monthly data center bill. Cloud costs scale with usage. Runaway resources mean runaway bills. Requires monitoring and governance discipline.

Architecture must be cloud-native to win

Lift-and-shift works, but you won't get ROI. Serverless, containers, managed databases require redesign. Technical debt surfaces immediately.

Vendor lock-in is real and serious

AWS, Azure, GCP offer different services and pricing. Migration between clouds is expensive. Provider-specific APIs make portability hard.

The Migration Path

Five steps to cutover.

01

Infrastructure Audit & Cloud Architecture Design

Document on-premise systems: servers, storage, databases, networking. Design cloud architecture (IaaS vs. PaaS vs. Serverless). Create cost projections and ROI model. Timeline: 2–3 weeks.

02

Cloud Account Setup & Security Foundation

Set up cloud accounts, VPCs, security groups, IAM policies. Implement logging, monitoring, and backup. Configure disaster recovery and multi-region strategy. Timeline: 2–3 weeks.

03

Data Migration & Database Cutover

Migrate databases (RDS, DynamoDB, or managed services). Set up replication and verify data integrity. Test performance under load. Plan cutover window. Timeline: 4–6 weeks.

04

Application Migration & Testing

Deploy applications (containers, Lambda, or VMs). Configure load balancing and auto-scaling. Smoke test. Parallel run against on-premise systems. Timeline: 4–6 weeks.

05

DNS Cutover, Monitoring & Decommission

Switch traffic to cloud. Monitor performance and cost. Train ops team on cloud management. Plan on-premise infrastructure decommissioning and data destruction. Timeline: 2–3 weeks.

Risks & Honest Timeline

Real risks to manage.

Lift-and-shift leaves money on the table (no optimization realized). Cloud billing surprises (poorly configured resources, data egress costs). Data transfer timing (can take weeks for large databases). Team skill gap (cloud ops is different from on-premise ops). Performance regression if architecture doesn't account for latency and distributed systems.

Next Step

Ready to go cloud?

Empyreal leads enterprise migrations to AWS, Azure, and GCP. We architect for scale, manage data transfer, and guide your team through the operational shift.

Let's assess your migration Email Mohit directly
Questions

Frequently asked questions about On-Premise to Cloud migrations

Direct answers about how this engagement actually works. If your question is not here, ask Mohit directly.

Can we move servers to the cloud without rewriting code, or do we need to refactor?
Lift-and-shift (rehost) works for many apps. Virtual machines on AWS EC2 run the same Linux/Windows code as your data center. However, you'll want to replatform gradually: move stateless app servers first, then databases (RDS is easier than self-managed), then caching/queues (ElastiCache, SQS). Expect 3-4 weeks for basic lift-and-shift, then 8-12 weeks optimizing for cloud cost.
What does it cost and how long for on-premise to cloud?
16-24 weeks, $250-400K. 70-90% CapEx reduction in year 2 (no hardware, rent, cooling, power). Biggest cost: engineering time to audit workloads, set up networking (VPCs, security groups), identity management (IAM), and monitoring. Add 2-3 weeks if your apps use proprietary middleware (IBM WebSphere, Oracle AS).
Do we lose control of our infrastructure moving to cloud?
No. You get Infrastructure-as-Code (Terraform, CloudFormation) to version-control your cloud setup just like code. You manage VPCs, subnets, security groups, IAM roles. AWS/Azure/GCP only provides the compute, storage, and networking. You're not locked in; migrating to another cloud is feasible (takes 6-8 weeks, but possible).
What's the biggest gotcha when moving on-premise apps to AWS/Azure/GCP?
Networking assumptions. On-premise, you assume low-latency LAN. Cloud introduces variable network latency. Apps that assume synchronous calls block and timeout. Solution: redesign critical paths for eventual consistency. Cache aggressively. Plan 2-3 weeks refactoring synchronous workflows to async/event-driven patterns.
If the cloud infrastructure fails, can we go back to on-premise?
Difficult but possible. Keep on-premise hardware running for 3-4 weeks during transition. Database replicates to both cloud and on-premise. If cloud availability SLA breaks, you can flip back, but expect 1-2 hours of manual DNS/networking work. Better approach: design for multi-cloud or multi-region from the start so no single provider failure takes you down.
What documentation and training do we get?
Cloud architecture diagram, disaster recovery plan with RTO/RPO targets, cost optimization recommendations, monitoring dashboard (CloudWatch, Azure Monitor, or Stackdriver). Security hardening guide (encryption at rest/in-transit, IAM policies, network segmentation). 3-day on-site training on cloud best practices, auto-scaling, and cost management.

Have a different question? Email the team or read the full FAQ.