Cloud Migration Services

Generic lift-and-shift migration gives you the same architecture with a more expensive cloud bill. We engineer rehost migrations to deliver speed today while creating the runway for modernization tomorrow.

What we deliver:

• VM, server, and workload migration to AWS, Azure, and Google Cloud
• Network, identity, and security parity for fast cutover with minimal disruption
• Migration tooling implementation, including AWS MGN, Azure Migrate, and Google Migrate to Virtual Machines
• Post-migration optimization roadmap to capture cloud-native value over time

Every rehost migration we deliver is production-deployed with cost models, observability, and operational runbooks. Not a one-shot server move, but a real migration foundation engineered for the team that will run and modernize it next.

Replace legacy architectures with cloud-native designs that capture real value, without forcing a full rewrite where one is not justified.

What we deliver:

• Replatforming workloads to managed services, including managed databases, container platforms, queues, and caches
• Refactoring monoliths into microservices, serverless, or modular architectures where the ROI is justified
• Strangler-fig migration strategies that move workloads incrementally without downtime
• Application modernization aligned with AWS, Azure, and Google Cloud Well-Architected frameworks

What does this mean for your business? Companies that match modernization depth to actual workload value consistently achieve stronger cloud ROI, better agility, and lower operational costs. The difference is not the framework. It is the strategy decision underneath. We help you make that decision well.

Every migration program faces the same hard problem: moving data without losing fidelity, performance, or compliance posture. Database migration is where many programs fall behind.

What we deliver:

• Heterogeneous database migrations, such as Oracle to PostgreSQL, SQL Server to Aurora, and on-premises databases to managed cloud databases
• Schema conversion, data validation, and zero-downtime cutover playbooks
• Change data capture (CDC) pipelines for near-real-time replication during cutover windows
• Data warehouse and analytics migrations to Snowflake, BigQuery, Databricks, and Redshift

Technical depth: AWS DMS, AWS SCT, Azure Database Migration Service, Google Datastream, Debezium, Striim, Qlik Replicate, Snowflake, Databricks, BigQuery, and Redshift.

Traditional migration plans break the moment they hit the mainframe. Engineered legacy migration adapts.

What we deliver:

• Mainframe assessment, dependency mapping, and modernization strategy, including replatform, refactor, replace, and encapsulate
• COBOL, RPG, and AS/400 modernization to modern stacks where ROI justifies it
• Hybrid integrations and emulation layers for systems that must remain in place
• Hybrid human-AI workflows, where the system handles routine tasks and your team manages exceptions

The operational reality is that most legacy migration programs stall because the system holds critical business logic that nobody fully understands. We build migrations that document, untangle, and modernize that logic instead of trying to lift it as-is. The result is legacy modernization that actually finishes.

If you are consolidating onto a single cloud, splitting workloads across providers, or moving from one hyperscaler to another, execution depth matters. The market will not forgive long downtime windows or surprise cost spikes.

What we deliver:

• AWS-to-Azure, Azure-to-AWS, on-premises-to-multi-cloud, and SaaS-region migrations
• Identity, networking, and data residency strategy across cloud providers
• Cross-cloud workload patterns, including federated identity, multi-cloud Kubernetes, and shared observability
• Migration runbooks tested in dry-run environments before production cutover

Provider selection, workload-fit analysis, network topology, and security posture - we evaluate all of it before recommending a destination. You get a production-ready cloud landing zone, not a vendor pitch.

Many migrations are really application replatforming projects in disguise, moving from self-managed software to SaaS or cloud-native equivalents.

What we deliver:

• Replatforming from self-hosted applications to SaaS equivalents, including CRM, ERP, HRIS, and analytics platforms
• Migration of email, collaboration, and identity workloads, including Microsoft 365, Google Workspace, and Okta
• Custom application replatforming to managed services with minimum viable refactoring
• Decommissioning, license rationalization, and post-migration cost reduction

Most cloud migration projects fail because they treat every workload the same. We separate replatforming from rehosting and retiring, then give each workload the right migration path.

A migration is only valuable if your team can operate what arrives on the other side. Without a cloud foundation and operating model, you simply trade data center pain for cloud pain.

What we deliver:

• Cloud landing zones, multi-account and multi-subscription architectures, and guardrails as code
• Cloud Center of Excellence (CCoE) design, FinOps practice rollout, and operating model definition
• Identity, security, and compliance baselines aligned with SOC 2, HIPAA, GDPR, PCI DSS, and ISO 27001
• Documentation, knowledge transfer, and team enablement for your in-house engineers

Structured cloud migration programs can reduce infrastructure waste and improve deployment frequency when supported by the right operating model.