We're a US-based cloud migration company helping startups, scale-ups and enterprises move workloads to AWS, Azure and Google Cloud without the downtime, the overspend or the post-migration regret. Honest assessments, phased cutovers and a landing zone your CFO and your CISO will both sign off on.
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Whether you're exiting a data center, leaving an aging colocation contract, consolidating after an acquisition or moving off the cloud that no longer fits your workload, our cloud migration services cover every layer of the move. Discovery, strategy, refactoring, cutover and post-migration optimization all delivered by senior cloud engineers who've shipped production migrations at real scale.
Migrations don't fail in execution. They fail in the assessment that never happened. Before we touch a workload, we audit what you've actually got: application dependencies, data gravity, license entanglements, network topology, compliance constraints and the cost-to-serve number nobody's written down honestly. The deliverable is a migration strategy that tells you, workload by workload, what to rehost, refactor, replatform, retire or leave exactly where it is. No vendor agenda, no shelfware report, a plan your engineering team can actually execute.
Your applications are the reason the cloud bill exists, and they're where most migrations quietly go wrong through dependencies nobody documented, configuration drift accumulated over a decade and integration points discovered the night of the cutover. We migrate applications in phased waves with full dependency mapping, automated cutover runbooks, real-time data integrity checks and rollback plans that have actually been tested, not just written down. Lift-and-shift where it fits, refactor where it pays back and re-architect where the workload deserves it.
Database migrations are where downtime windows get blown and data integrity issues surface six months too late. We migrate relational, NoSQL and warehouse workloads with replication-based cutover patterns, schema conversion handled cleanly, query performance benchmarked against the source and full data validation at every checkpoint. Oracle to Aurora, SQL Server to Azure SQL, on-prem PostgreSQL to Cloud SQL, Hadoop to BigQuery or Redshift done the way your DBA would do it if they had unlimited tooling and zero distractions.
Exiting a data center is one of the highest-stakes migrations any business runs. Lease deadlines, hardware end-of-life, regulatory commitments and the fact that the network diagram on the wall hasn't been right since 2019 all converge on a single cutover window. We've executed full data center exits across financial services, healthcare and logistics phased wave plans, parallel running where it matters, network re-architecture handled in lockstep with the workload moves, and an exit timeline that hits the lease date without the war room.
Maybe AWS isn't paying back the way the original architect promised. Maybe an acquisition just landed three Azure tenants on your plate. Maybe Google Cloud's data and AI stack is suddenly the right home for the workload that's outgrown its current cloud. Cloud-to-cloud migrations are increasingly common and rarely simple IAM topologies, network connectivity, managed service equivalents and egress costs all need to be designed around, not stumbled into. We've moved production workloads in every direction across the three major clouds and know where the sharp edges are.
Lift-and-shift gets you to the cloud. It doesn't make you cloud-native. The workloads that pay back the migration investment are the ones refactored for the platform they now run on containerized where it makes sense, serverless where it earns its keep, autoscaled where the load profile demands it and instrumented properly from day one. Our modernization practice picks up where the lift ends, refactoring incrementally so production keeps running while the architecture gets quietly, measurably better every sprint.
Sometimes you don't need a migration partner, you need a senior cloud architect in the room for the decisions that matter. Framework selection between AWS, Azure and Google Cloud. Multi-cloud strategy. Migration sequencing across business units. Vendor negotiation around reserved capacity. Compliance architecture review before the audit. Our consulting engagements give you that senior cloud depth on tap, with no agenda beyond the right answer for your business.
Most migrations finish, and the firefighting begins with surprise bills, surprise outages, surprise findings in the first audit. We build the opposite. Every layer below uses AI and automation during and after the migration to predict, prevent and right-size before the problem reaches your inbox.
AI-driven dependency analysis surfaces the integrations, traffic patterns and hidden coupling that interviews always miss so the migration plan is built on what's actually running, not what's documented.
Highlights:
AI-driven dependency analysis surfaces the integrations, traffic patterns and hidden coupling that interviews always miss so the migration plan is built on what's actually running, not what's documented.
Highlights:
Cloud migration isn't one kind of project. It's a category that spans single-workload lift-and-shifts, full data center exits and multi-region cloud to cloud moves. Here are the migration types and destinations we deliver and the engineering bar we hold ourselves to on every one.
AWS Migration Services
AWS has the deepest service catalog, the most mature migration tooling and the highest ceiling for what a well-architected cloud can do and the steepest cliff if you migrate badly. We migrate to AWS using the Well-Architected Framework as the floor, not the marketing brochure: right-sized EC2 and Fargate, S3 lifecycle policies that cut storage costs without anyone noticing, RDS and Aurora tuned for your real query patterns, and landing zones built on AWS Control Tower with guardrails your CISO will actually approve.
Azure Migration Services
If your business runs on Active Directory, Microsoft 365, Dynamics or SQL Server, Azure isn't a choice, it's a continuation. We migrate to Azure for enterprises that need tight identity integration, hybrid topologies that keep some workloads on-prem and compliance postures that satisfy enterprise procurement without a six-month review cycle. Azure Migrate for assessment, Azure Site Recovery for replication, AKS for containerized workloads and Azure Policy for the governance layer your auditors will eventually ask about.
Google Cloud Migration Services
Google Cloud wins when data and AI are the center of your roadmap, not the sidecar. We migrate to GCP for product teams who want BigQuery as their data warehouse, Vertex AI as their ML platform and GKE running Kubernetes the way Google originally meant it to run. Migration Center for assessment, Database Migration Service for the data tier and Anthos when the workload genuinely needs to span clouds done by engineers who've actually shipped on Google's stack at scale.
Data Center Exit Migrations
Full data center exits are their own discipline. Lease deadlines that don't move, hardware end-of-life that forces sequencing, network re-architecture that has to happen in lockstep with the workload moves and a hundred small dependencies that always surface in week three. We've run multi-year data center exit programs across financial services, healthcare and logistics wave plans, parallel running, network cutover coordination and a delivery cadence that hits the lease date without a war room.
Cloud-to-Cloud Migration
Moving between AWS, Azure and Google Cloud is increasingly common and almost never simple. Identity systems don't map cleanly. Managed services have subtle behavioral differences. Egress costs become a real line item. We've moved production workloads in every direction across the three major clouds and the engineering work is in the gaps between the marketing equivalents, not the equivalents themselves.
Database Migration
Oracle to Aurora PostgreSQL. SQL Server to Azure SQL. On-prem MongoDB to Atlas. Hadoop to BigQuery. Self-managed PostgreSQL to Cloud SQL. Database migrations are where most cutover windows blow up and where data integrity issues surface long after the migration is declared complete. We migrate databases with replication-based cutover, schema conversion handled cleanly, query performance benchmarked at every checkpoint and validation that catches the row counts, the floating-point drift and the character encoding edge case before production users do.
Application Modernization Migrations
Some workloads don't deserve to move as-is. The monolith that hasn't been deployed cleanly in three years. The Java app is pinned to an EOL'd application server. The .NET Framework workload that needs to become .NET in the cloud. We migrate by modernizing containerizing where it makes sense, refactoring to managed services where it pays back, breaking up monoliths only where the engineering economics justify it. The goal isn't a cloud-shaped version of your old infrastructure. It's a workload that earns its new cloud bill.
Disaster Recovery & Backup Migration
Migrating DR and backup workloads is its own engineering discipline RPOs and RTOs have to be defended, not just documented, and the migration itself can't leave you exposed during the cutover window. We design cloud-native DR architectures using AWS Backup, Azure Site Recovery, Google Cloud Backup and DR, with regional failover patterns tested before they're trusted, not after the incident that proves they don't work.
We're not just another cloud migration company. We're the senior cloud engineering partner you call when downtime, overspend and audit findings aren't acceptable answers and when the cutover window has to land on the date the lease ends.
AWS, Azure and Google Cloud certified deep on all three. The migration recommendation you get is based on your workload, not on which cloud we happen to resell.
You get cloud architects who've executed production migrations at real scale data center exits, regulated workloads, multi-region cutovers not juniors learning Terraform on your downtime window.
Cost controls aren't a quarterly review. They're written into the landing zone on day one tagged, budgeted, alerted and right-sized continuously, so the first cloud invoice doesn't trigger an emergency meeting.
SOC 2, HIPAA, PCI-DSS, GDPR compliance controls are baked into the landing zone baseline, not bolted on before the audit. Your CISO signs off during the migration, not six months after it.
Clear migration waves, honest status, no surprise infrastructure bills. You always know which workload is moving next, what it costs and what's coming after.
We architect for serverless, edge, AI workloads and the cloud-native patterns shaping the next five years not just what your competitors migrated to three years ago.
Most cloud migration failures aren't technical; they're process failures that surface as surprise outages on cutover weekend, surprise bills on the first invoice or surprise findings in the first compliance review. Our cloud migration services follow a structured, AI-assisted delivery methodology designed to surface those problems early, when they're cheap to fix.
Here's exactly how it works.
We audit your existing infrastructure, application portfolio, dependencies, compliance posture and cost-to-serve baseline to define the right migration strategy. No interviews-only discovery automated dependency mapping and traffic analysis are run from day one.
We design the target cloud architecture, define the 6 R's per workload rehost, refactor, replatform, repurchase, retire, retain and map the wave plan to get there with the trade-offs documented honestly.
We validate the critical assumptions on a contained workload and stand up the landing zone network topology, identity, guardrails, observability and FinOps tagging before committing to full rollout.
Our engineers execute the migration in phased waves with zero-downtime patterns where they fit, data integrity checks at every checkpoint and rollback plans that have actually been tested.
We tune the migrated environment for cost, performance and security and document everything your team needs to operate it confidently without our hand on every keyboard.
We provide continuous monitoring, FinOps oversight and proactive maintenance to keep your migrated environment healthy, predictable and improving or hand it over cleanly to your in-house team.
Your migration doesn't fit a template, and your engagement shouldn't either. The right way to hire cloud migration company capacity depends on your scope, your timeline and your risk tolerance. Three models, all built for cloud-era delivery speeds.
You're running a complex migration over six months or more, executing a multi-wave data center exit, or scaling your in-house cloud team without the cost and lead time of full-time hires.
Hand-picked cloud architects, migration engineers, DevOps engineers and SREs working only on your environment. Sprint planning, standups and on-call rotations run on your calendar and your tooling. AI-assisted engineering is built into how the team ships, not bolted on later.
Monthly retainer. No surprise invoices, no scope-creep billing. Team composition flexes as your migration waves progress.
3-10 engineers
6-month minimum
Scales with 30-day notice
Most mid-market companies start with one and evolve into another as their cloud footprint matures. Let's figure out the right starting point together.
Building Cloud Migration Foundations for the Businesses That Will Define the Next Decade. The companies that invest in well-architected cloud migrations now won't need to re-platform when the next wave of AI and cloud-native workloads becomes the table stakes everyone else is scrambling for.
Cloud migration challenges look different across industries; the compliance posture, the downtime tolerance, the data residency rules and the cost dynamics all change the engineering. These are the verticals where we've shipped migrations and know what production really looks like.
Honest answers to the questions every founder, CTO, head of engineering and head of infrastructure asks before they hire a cloud migration company. If something isn't covered here, our solution architects will walk you through it on a discovery call, no sales pitch, no fluff.
Look beyond the certifications wall. The right cloud migration company asks more questions than it answers in the first conversation about your workloads, your compliance posture, your team's operational maturity and what an outage during cutover would actually cost you. Evaluate on architecture depth in the discovery phase, transparency about cost trade-offs, multi-cloud thinking (not vendor advocacy) and whether they push back constructively when they disagree. Anyone who recommends a specific cloud before they've understood your business isn't the right partner.
End-to-end cloud migration services cover workload discovery and assessment, cloud strategy and architecture, landing zone build, migration planning and wave sequencing, application and database migration, security and compliance hardening, FinOps and cost optimization, cutover execution and post-migration managed operations. The best engagements also include a proof of concept on a representative workload before full migration because decisions made in week one shape your cloud bill for years.
A small workload lift-and-shift: $15,000-$50,000. A mid-complexity migration with refactoring, data consolidation and DevOps setup: $75,000-$250,000. A full enterprise data center exit with multi-region architecture: $300,000-$1M\+. The number that matters isn't the migration cost, it's the total cost of ownership three years out. We provide detailed estimates after a workload assessment. We won't give you a number before we can stand behind it.
A single workload migration: 4-8 weeks. A mid-complexity migration with refactoring: 3-6 months. A full enterprise data center exit across multiple business units: 9-18 months, executed in waves. We provide milestone-based timelines in writing before migration begins and we plan cutover windows your business can actually live with.
It depends on your workload, your existing tech stack and your team's expertise. AWS for breadth, maturity and the deepest service catalog. Azure for Microsoft-centric enterprises and tight identity integration. Google Cloud for data, analytics and AI-heavy products. Many of our clients run on two primary clouds and a secondary for resilience or specific workloads. We make the recommendation after we understand your business, not before.
Lift-and-shift (rehost) moves workloads to the cloud with minimal changes fast to execute, low risk, but it usually just moves your technical debt to a more expensive bill. Cloud modernization (refactor or re-architect) rebuilds workloads to use cloud-native patterns containers, serverless, managed databases taking longer and costing more upfront but paying back through scalability, lower run rates and faster feature velocity. Most real migrations are a mix: lift-and-shift the simple workloads, modernize the ones that earn the investment, retire the ones nobody noticed they don't use.
Three models: Dedicated Team (for long-term, multi-wave migrations and evolving cloud estates), Time & Material (for iterative modernization, exploratory builds and scope that's still settling) and Fixed Cost (for well-scoped, budget-defined migration projects). When you hire cloud migration company capacity from us, we recommend honestly based on your situation not based on which model is most profitable for us.
FinOps is built into the migration, not bolted on at the end. Tagged resources from day one, budget alerts on the landing zone, right-sizing reviews during cutover, reserved capacity planning before the first full month's invoice, idle resource detection and continuous cost anomaly monitoring. Most of our clients see 25-40% cost reduction within the first six months post-migration not from cutting capacity but from cutting waste the original architecture never noticed.
Security is designed into the landing zone, not reviewed at the end of the migration. CIS benchmarks, encryption in transit and at rest, identity and access governance, network segmentation, vulnerability scanning, penetration testing before production traffic and continuous compliance monitoring for HIPAA, PCI-DSS, SOC 2 and GDPR as relevant to your industry. Compliance documentation is produced as a migration deliverable, not an afterthought.
Yes. We start with a technical audit architecture, cost posture, security configuration, operational maturity and the accumulated drift no one's documented. We give you an honest picture of what you've inherited and a clear recommendation for what to do about it. Sometimes the answer is re-architect. Sometimes it's tuned in place. Sometimes the existing setup is better than it looks and the right move is to leave it alone.
Zero-downtime patterns where they fit replication-based database cutover, blue-green deployments, traffic shifting through DNS or load balancer weighting, parallel running until validation passes. Where downtime is unavoidable, we plan the window with your business, communicate it clearly and execute against a tested runbook with explicit rollback criteria. The goal isn't zero downtime at all costs, it's predictable downtime your operations can actually plan around.
Yes. Managed cloud operations is one of our core offerings 24/7 monitoring, incident response, patch management, FinOps oversight, security posture management and quarterly architecture reviews. You can hand over the operational load entirely, or run it alongside your in-house team. SLAs are defined and reported on every month.
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