Cloud Engineering & Migration Services

A single non-critical workload typically migrates in 4-8 weeks. A mid-scale migration of 10-25 workloads runs 12-24 weeks. Enterprise migrations of 50+ workloads run 12-24+ months across multiple waves. See our Cloud Migration Cost guide for a full timeline breakdown by workload count.

Cloud migration ranges from $20,000 for a single-workload proof of concept to $5M+ for a full enterprise portfolio migration. Modernization projects that refactor to cloud-native architecture typically run $50,000-$1M+ depending on scope. We scope every engagement in phases so you can validate value before committing to the full program.

It depends on your existing stack, compliance requirements, and team expertise. Azure fits Microsoft-centric enterprises; AWS fits diverse, cloud-native stacks with the broadest service catalog; GCP fits data-engineering-heavy workloads and Kubernetes-native teams. See our AWS vs Azure, Azure vs GCP, and AWS vs Azure vs GCP comparisons for a detailed breakdown.

Yes. Multi-cloud is increasingly common for organizations with genuinely distinct workload needs — for example running core systems on Azure and data analytics on GCP. We design the governance, cost-tracking, and identity layers that make multi-cloud manageable rather than chaotic.

Yes. We've delivered HIPAA-compliant migrations for healthcare systems and PCI-DSS-compliant infrastructure for payment processors. Compliance architecture is designed at the landing-zone stage, before any workload migration begins, not retrofitted afterward.

Yes. We design and can operate production-grade EKS, AKS, or GKE clusters, and we train your engineering team to take over operations progressively rather than creating a permanent dependency.

For critical systems, yes — using blue-green deployment, database replication, and shadow traffic validation before cutover. Not every workload requires this level of engineering investment; we scope the approach to the actual business risk of downtime for each system.

Through right-sizing based on real post-migration usage data, reserved instance or savings plan commitments after the first 90 days of production traffic, and ongoing FinOps governance. Most clients see 20-40% cost reduction within the first two quarters post-migration.

Both. Startups typically start with a single-workload proof of concept or a serverless-first architecture that avoids over-provisioning from day one. Enterprise engagements involve multi-wave migration planning and compliance architecture — the same engineering team and standards apply to both.

A time-boxed assessment (typically 2-4 weeks) mapping your workloads, dependencies, data volumes, and compliance requirements — under mutual NDA before any sensitive infrastructure details are shared. Discovery produces a scoped proposal, not an open-ended engagement.

Migration moves a workload to the cloud, often with minimal changes (lift-and-shift). Modernization re-architects the application to use cloud-native patterns — containers, serverless, managed databases — which costs more upfront but reduces ongoing cloud spend by 30-60%. Most clients migrate first, then modernize high-value workloads over 12-24 months.

Post-migration support includes performance monitoring, cost optimization reviews, and incident response during the hypercare period immediately following cutover. Longer-term FinOps and platform-engineering retainers are available for teams that want continued optimization as usage grows.