Transform Your Business with Our Enterprise Cloud Migration Services

What if one strategic move could cut costs, speed delivery, and protect your data at the same time?

We help organizations modernize core systems and align strategy with execution, so teams can focus on growth rather than firefighting.

Using proven tools from Google Cloud, AWS, and IBM, we start with discovery and assessment to map dependencies and quantify risk, then build a clear roadmap that balances cost, time, and performance.

Our approach includes secure landing zones, governance, and automation from day one, plus phased application updates to keep operations steady while value is delivered.

We measure outcomes against KPIs for performance, resiliency, and spend, and we transfer knowledge so your teams sustain long-term improvements.

Key Takeaways

• We pair strategy with hands-on execution to modernize infrastructure and reduce risk.
• Discovery and assessment guide the right path—lift, replatform, or refactor.
• Automation, governance, and secure landing zones speed safe adoption.
• Phased modernization protects business continuity and minimizes downtime.
• We track KPIs and embed new operating models to sustain gains.

Modernize with confidence: end-to-end cloud migration that accelerates innovation, efficiency, and growth

We design end-to-end migration programs that turn modernization plans into measurable business outcomes.

We deliver an outcome-driven cloud migration program that connects strategy to delivery, using automation, ML-powered recommendations, and expert guidance to reduce risk while accelerating innovation across your teams.

Our approach sets clear goals and value metrics, prioritizing high-impact workloads first to capture early wins that fund later waves and show tangible efficiency gains.

We combine proven solutions and capabilities from AWS, Google RaMP, and IBM Consulting to compress timelines, shorten time to market, and protect continuity with governance by design.

• Structured workstreams for apps, data, and platforms to minimize downtime and preserve operations.
• Rightsizing, autoscaling, and cost-performance tuning to optimize cost while improving throughput.
• Embedded DevOps and platform engineering for repeatable delivery and ongoing innovation.

Enterprise cloud migration services: strategy, execution, and ongoing optimization

A focused assessment gives us the visibility to prioritize work and align technical choices with business objectives.

Assessment to roadmap: discovery, dependency mapping, and risk mitigation

We start with a structured assessment that inventories assets, maps inter‑application dependencies, and captures performance baselines. This produces a prioritized backlog tied to measurable goals.

We leverage proven tools like Google Cloud’s Migration Center, RaMP planning, AWS MAP automation, and IBM Consulting discovery to centralize findings and speed planning.

From migration to modernization: lift-and-shift, replatform, and refactor

For each application, we pick the right approach—lift‑and‑shift for speed, replatform for balanced gains, or refactor for deep modernization—so risk and value stay aligned.

• Phased plans with waves, cutover runbooks, and rollback steps ensure resilience.
• Secure landing zones, policy as code, identity, and encryption provide consistent controls.
• Operational readiness, CI/CD, and autoscaling deliver reliable performance from day one.

Leverage leading platforms and programs to de-risk your journey

We combine vendor programs, automation, and expert planning to turn complex transitions into controllable waves of work.

Google Cloud Migration Center and RaMP

Google Cloud Migration Center acts as a single hub for discovery, cost estimation, and assessment, giving teams a consistent source of truth for decisions.

RaMP complements this by offering a free IT landscape assessment, guided planning with Google Cloud experts, and vetted partners to speed readiness and reduce risk.

AWS MAP and IBM Hybrid by Design

AWS MAP brings automation, tooling, and partner incentives to compress timelines and lower costs across waves.

IBM’s Hybrid by Design adds multicloud strategy, built‑in automation, and Generative AI to standardize processes and mitigate exposure.

Landing zones, licensing, and integrated plans

The Cloud Foundation Toolkit plus infrastructure as code builds repeatable, compliant landing zones from day one.

We use AWS Optimization and Licensing Assessment to uncover vendor license savings for Windows Server, SQL Server, and VMware.

• We integrate programs into a single plan, aligning funding, tools, and expert support.
• Governance, roles, and telemetry tie progress to risk, costs, and schedule so stakeholders stay informed.

Modernize critical workloads without disruption

We modernize high‑value workloads with controlled waves that protect operations and boost performance.

SAP on Google Cloud and AWS — we run SAP with high availability, resilient infrastructure, and advanced analytics so your business can rely on real‑time insights and continuity.

VMware estates — we preserve familiar tooling while shifting to native stacks like Google Cloud VMware Engine or AWS VMware, lowering TCO and accelerating time‑to‑value.

Windows and .NET — we combine license flexibility, containers, and serverless patterns to speed developer velocity and reduce licensing exposure.

Mainframe transformation — automated code refactoring, targeted replatforming, and cloud‑native augmentation let legacy applications modernize with measured risk.

SQL Server and Oracle paths — choose managed options such as Cloud SQL, Amazon RDS, or Aurora, lift‑and‑shift to Bare Metal, migrate to open‑source, or modernize with distributed databases like Cloud Spanner.

• We build cutover and rollback plans for each application to minimize downtime.
• We validate performance SLAs with load testing and tuning for real‑world demand.
• Layered security, runbooks, and training ensure sustainable operations post‑transformation.

Data migration and analytics modernization to unlock value

Modern analytics demand practical data moves—serverless replication, robust pipelines, and scalable warehouses—so insights arrive on time.

We plan and execute data migration with minimal downtime, using Google Cloud Database Migration Service for serverless replication to Cloud SQL and managed options such as Amazon RDS and Aurora for transactional workloads.

BigQuery accelerates analytics with built‑in ML and governance, reducing total cost of ownership while improving query performance and access to insights.

High-volume transfers and reliable ingestion

For large datasets or limited bandwidth, we use Transfer Appliance and Storage Transfer Service to move bulk records safely. BigQuery Data Transfer Service automates recurring loads from SaaS, databases, and object stores.

• Choose the right target platform per dataset—managed relational, distributed, or analytics engines—to balance performance and operational overhead.
• Implement CDC, backfill plans, and monitoring so pipelines support application and BI workloads without surprises.
• Enforce quality, lineage, encryption, and fine‑grained access controls to meet regulatory needs and maintain trust in analytics.

We train teams on new workflows, align schemas and partitioning for cost and performance gains, and deliver measurable business outcomes from modernization efforts.

Security, compliance, and governance by design

We design security controls into every landing zone so teams can operate with confidence while they modernize applications and data.

Identity, encryption, and policy automation form the backbone of our approach. We use infrastructure as code and templates from the Cloud Foundation Toolkit to enforce consistent controls across accounts and regions.

BigQuery and managed platforms provide robust data protection and governance. VMware Engine and managed offerings include integrated identity and network policies for hardened environments.

• We embed identity, encryption, and policy automation into landing zones with IaC to enforce consistent security across regions.
• We codify compliance controls from day one, producing audit-ready configurations for finance, healthcare, and public sector rules.
• Least-privilege access, workload isolation, and segmentation reduce blast radius during and after migration.
• Automated guardrails detect drift, patch vulnerabilities, and manage secrets, shifting security left into CI/CD pipelines.
• We validate controls with continuous monitoring, evidence collection, and incident playbooks tied to real-world simulations.

For further guidance on aligning security and compliance during a migration, see our practical overview of how targeted migration services improve security and compliance.

Control cost and improve performance across your cloud footprint

We combine technical tuning and financial discipline to keep your systems responsive while cutting waste.

Our approach ties rightsizing, autoscaling, and license strategy into a single optimization program, so teams get steady performance and predictable costs. We use Google’s pre‑migration validation for VM sizing, and autoscaling with managed platforms to improve utilization while reducing undifferentiated work.

Rightsizing and autoscaling: continuous performance optimization

We implement rightsizing policies across compute, storage, and databases, tuning instance families and quotas to match real demand. Pre‑migration validation and performance testing forecast capacity and prevent over‑provisioning.

License optimization: reduce spend on Windows, SQL Server, and VMware

Using AWS Optimization and Licensing Assessment, we identify ways to lower third‑party licensing exposure and align license mobility with purchasing models. We also move analytics to managed tiers like BigQuery, which can cut TCO while boosting query performance and elasticity.

• Enforce budget guardrails, anomaly detection, and chargeback models to drive accountability.
• Refactor high‑cost components to serverless or containers for better scaling and lower costs.
• Negotiate savings plans and committed use discounts based on usage forecasts.

We report on unit economics and service-level performance, so optimization work delivers measurable business outcomes and sustained efficiency gains across your cloud infrastructure.

A proven approach, tools, and expertise at every phase

We combine focused analysis and engineering discipline to turn readiness data into executable plans with clear outcomes.

Discovery and assessment: free landscape analysis and readiness scoring

We begin with a free landscape analysis and readiness scoring, leveraging Google RaMP to baseline environments, highlight risks, and quantify potential benefits.

This gives a single source of truth for scope, value, and priority. Results feed a prioritized backlog tied to business objectives and cost targets.

Application migration options: to virtual machines, containers, and cloud-native

For each application, we choose the right path—virtual machines for speed, containers for portability, or cloud‑native for maximal modernization.

We use Migrate to Virtual Machines for validated cutovers with rollback and rightsizing, and Migrate to Containers to automate conversion to GKE without changing source code.

Automation-first execution: CI/CD, observability, and reliability engineering

We build an automation-first toolchain that integrates CI/CD, security scanning, and policy enforcement to standardize delivery across teams.

• End-to-end observability for metrics, logs, and traces to support proactive reliability engineering.
• IaC, pipelines, and change control to codify environments and speed repeatable builds.
• Cost controls, tagging, budgets, and anomaly alerts tied to performance SLOs and governance cadence.

We run game-days and pair implementation workshops to upskill teams, while AWS MAP automation and IBM frameworks add scale and engineering rigor.

Customer success stories and measurable outcomes

Our customer outcomes prove that disciplined planning and automation deliver faster releases and measurable reliability gains.

Salesforce Marketing Cloud on AWS — We supported Salesforce as it moved Marketing Cloud to AWS, scaling services globally and accelerating feature delivery through managed automation and streamlined pipelines.

Citizens Bank and DWP mainframe programs — Citizens Bank used AWS Mainframe Modernization to refactor key systems and integrate modern data platforms, improving customer experience and reducing latency. The UK’s Department for Work and Pensions adopted similar approaches to unlock operational excellence at public sector scale.

The Co‑operative Bank — IBM Consulting’s Hybrid by Design approach resolved complex cutover challenges quickly, demonstrating deep expertise that reduced risk and shortened recovery windows.

• We translate these case patterns—scalable platforms, automated pipelines, and governance by design—into reusable blueprints for your teams.
• Outcomes include faster time to market, improved reliability, and lower operational overhead, aligned to executive KPIs.
• We ensure cross‑functional alignment across technology, operations, and compliance, and preserve momentum with ongoing optimization and consulting support.

Conclusion

We translate technical complexity into a phased plan that protects operations and unlocks new agility. Partnering with us means a pragmatic strategy, a clear plan, and hands‑on delivery that align to your business goals.

We combine Google Cloud Migration Center and RaMP, AWS MAP and OLA, and IBM Hybrid by Design with the Cloud Foundation Toolkit to de‑risk delivery, speed timelines, and maximize value. We design secure landing zones with IaC, move application and data selectively to managed platforms like RDS/Aurora and BigQuery, and keep cost and performance balanced.

Post‑cutover, we optimize spend, sharpen performance, and upskill your teams so transformation endures. Engage us for an assessment and roadmap session, and we will sequence waves to minimize disruption and deliver measurable impact at each milestone.