Solutions/Cloud & DevOps/Cloud Migration

Cloud Migration & Architecture

Move to cloud without downtime, data loss, or budget surprises.

Cloud migration services that move workloads from on-premises or legacy environments to AWS, Azure, GCP and OCI without downtime, data loss or business disruption. We design the migration strategy before writing a single Terraform file, phase every cutover to protect production, and validate performance under real load before go-live.

What We Deliver

Core Capabilities

  • Cloud Migration Assessment & Dependency Mapping
  • Lift-and-Shift Migration (AWS, Azure, GCP, OCI)
  • Cloud Re-Architecture & Modernisation
  • Cloud-Native Transformation
  • Zero-Downtime Cutover Planning
  • Post-Migration Optimisation & FinOps Kickstart

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By the Numbers

What clients achieve with GYSP

8–12 wks
lift-and-shift migration timeline

for medium-complexity workloads, with phased cutover protecting production at every stage

Zero
production outages on managed cutovers

blue/green deployments and traffic shifting eliminate cutover risk by design, not by luck

20–40%
cloud spend reduction

identified in the FinOps kickstart engagement that follows every migration within 90 days of go-live

Industry Expertise

Industries We Serve with Cloud Migration

FAQs

Common questions

Everything buyers typically ask before starting a cloud migration engagement.

Ask us anything
What do cloud migration services include?

Cloud migration services cover the full journey: a discovery and assessment phase to map dependencies and risks, a migration strategy selecting lift-and-shift, re-platform or re-architecture, phased execution with zero-downtime cutover, post-migration performance validation, and a FinOps kickstart to identify 20–40% spend reduction within 90 days of go-live.

How long does a cloud migration take?

A lift-and-shift migration for a medium-complexity workload takes 8–12 weeks. A re-architecture migration modernising to cloud-native services runs 16–24 weeks. Timeline depends on workload complexity, number of applications, data volume, and compliance requirements. We always migrate in phases so production never goes dark.

How do you ensure zero downtime during cutover?

We use blue/green deployments, canary releases, traffic shifting with automated rollback triggers, and feature flags for gradual exposure. The cutover strategy is fully designed before a single Terraform file is written, so risk is engineered out rather than managed during the event.

Which cloud provider is right for our workload — AWS, Azure or GCP?

It depends on your workload profile, team expertise, and existing technology investments. AWS leads for breadth of services and global reach. Azure is the natural fit for Microsoft-heavy organisations. GCP is strongest for data and ML workloads. We are certified across all three and advise based on your specific context, not vendor preference.

What is the difference between lift-and-shift and cloud re-architecture?

Lift-and-shift moves existing workloads to cloud infrastructure with minimal changes — it is the fastest path to cloud but you retain your existing architecture and miss cloud-native cost and resilience benefits. Re-architecture modernises applications to use managed services, auto-scaling, and cloud-native patterns. More effort upfront, significantly better outcomes at scale.

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