Infrastructure Migration Services

Sphere provides IT migration services across cloud, data centers, VMware estates, applications, and data platforms—built around dependency visibility, secure landing zones, cutover discipline, and cost control.

IT Migration Services by cluster

Choose the cluster that matches your current pressure point. Sphere runs migrations as a program: portfolio inventory, dependency mapping, landing zone readiness, wave execution, and stabilization.

Cloud migration services

Cloud adoption runs cleanly when identity, policy,
logging, and ops ownership are designed early.

Includes:

  • landing zone control points
  • workload patterns
  • stabilization plan

Common paths:

  • landing zone control points
  • workload patterns
  • stabilization plan

Cloud-to-cloud migration

Tenant and platform moves stay stable when security
and operational tooling are aligned early.

Includes:

  • identity alignment
  • networking plan
  • cutover readiness

Common paths:

  • AWS → Azure
  • Azure → AWS
  • Heroku → AWS

VMware migration services

VMware estates migrate through grouped waves aligned
to workload risk and platform direction.

Includes:

  • application grouping
  • migration patterns per group
  • execution playbooks

Common paths:

  • vSphere/VCF → Cloud
  • vSphere → alternative virtualization
  • vSphere → Kubernetes platform

Data migration services

Databases and analytics platforms move with reconciliation,
validation, and controlled cutovers.

Includes:

  • transfer approach
  • data checks
  • cutover sequencing

Common paths:

  • Teradata → Snowflake
  • Netezza → Snowflake
  • Redshift → BigQuery
  • Hadoop → Snowflake

Application migration services

Application portfolios migrate as a program with sequencing based
on dependencies and release cycles.

Includes:

  • portfolio triage
  • wave plan
  • test gates and validation

Common paths:

  • Shopify → WooCommerce
  • WordPress → Webflow
  • Wix → WordPress

De-Risk Your Migration Before You Move

What you get from Sphere

Sphere turns migration planning into execution-ready assets your teams can run. You get a clear inventory, a dependency-informed wave plan, a destination baseline that security and ops can operate, and cutover runbooks with validation steps. The output is designed to reduce rework during delivery and keep scope, risk, and cost visible wave by wave.

A migration program your teams can execute

Step 1: Assess (2–3 weeks)

Scope, inventory, risks, target architecture, and wave plan. Cost model and delivery ranges tied to the same plan.

Step 2: Foundation

Landing zone build, security baseline, identity patterns, and observability. Tooling and access model prepared for wave execution.

Step 3: Waves

Wave-by-wave migrations with runbooks and validation gates. Stabilization support tied to owners and operating hours.

Step 4: Optimize

Performance tuning and cost optimization backlog. Operational handoff and ongoing platform governance.

Migration Delivery Pods

Migration delivery needs a stable core team that can hold design intent through execution. Sphere pods include infrastructure and cloud architects, migration engineers, data engineers, security engineering, QA automation, and a cutover lead coordinating runbooks and go-live readiness. The pod works in weekly milestones tied to waves and releases, with executive visibility that stays grounded in concrete deliverables: readiness decisions, cutover dates, and risk status.

Pod roles include

Infrastructure/Cloud Architects, Migration Engineers, Data Engineers, Security Engineering, QA & Automation, Cutover Lead, Ops Enablement

Cadence

Weekly milestone review, risk register updates, wave readiness checkpoints

Customer Stories

Data Analytics Featured Services Legacy Modernization
Successful .NET Migration project for our FinTech client Pangea
Successful .NET Migration project for our FinTech client Pangea

Pangea is a FinTech company based in Chicago that specializes in transferring money via mobile, internationally (C2C). Sphere Partners provided the resources required for a .NET migration project to support their 2022 roadmap.

View Case Study
Custom Software Development Legacy Modernization
Migrating a Complex Legacy ERP to Acumatica
Migrating a Complex Legacy ERP to Acumatica

A financial services company approached us with their legacy ERP, looking to move to an Acumatica solution within a few months.

View Case Study
Cloud Native Development Legacy Modernization
Custom cloud migration provided scalability and improved performance
Custom cloud migration provided scalability and improved performance

Our client migrated a custom solution with Oracle database to the cloud, leverages SQL Server Managed Instance and Azure Synapse platform.

View Case Study

Hear from Our Clients

Sphere Partners
Selah Ben-Haim VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Sphere Partners
Ben Crawford Senior Product Manager at Enova Financial

I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.

Sphere Partners
Mark Friedgan CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.

Sphere Partners
René Pfitzner Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and work with us.

Sphere Partners
Bruce Burdick Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.

Sphere Partners
Jemal Swoboda CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.

Sphere Partners
Arthur Tretyak Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE…

Sphere Partners
Lee Ebreo VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.

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Sphere in Numbers

We understand that actions speak louder than words and numbers
but here are some key facts about us.

20

Years of Experience

230

Delivered Projects

200+

Senior Specialists

94%

Satisfaction Rate

Bring your scope.
Start your Migration Assessment.

Flexible, fast, and focused — Sphere solves your tech and staffing challenges as you scale.

Luke Suneja

Client Partner

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Frequently asked question

The assessment is fixed-scope and execution-oriented. We produce a portfolio inventory with workload owners and criticality, dependency mapping across systems, a landing zone readiness review, a wave plan with sequencing logic, and a cost model tied to the same plan. The output is designed to move directly into foundation and wave execution without rework.

Timelines depend on portfolio size, dependency density, regulatory constraints, and acceptable downtime windows. The assessment phase takes 2–3 weeks. Foundation readiness typically runs 3–6 weeks depending on complexity. Wave execution runs in parallel tracks aligned to business calendars. We provide delivery ranges tied to the wave plan rather than generic duration estimates.

Every wave includes a defined cutover runbook with sequencing, validation steps, rollback conditions, and owner assignments. Downtime windows are planned against business impact, not convenience. We rehearse high-risk cutovers and define recovery criteria before go-live. Cutover discipline is treated as a deliverable, not an afterthought.

We map application, data, identity, network, and integration dependencies before sequencing waves. Late discovery is the most common cause of migration rework. Dependency visibility drives grouping logic and execution order. Each wave is built to hold under real operating conditions.

Sphere runs migrations across AWS, Azure, and GCP, as well as cloud-to-cloud transitions. We support VMware estates (vSphere, VCF), alternative virtualization platforms, Kubernetes-based targets, and hybrid models. For data platforms, we handle database and warehouse migrations including Oracle, SQL Server, MongoDB, Teradata, Netezza, Snowflake, BigQuery, and PostgreSQL-based targets.

Yes. Landing zone baselines include identity controls, logging, network policies, and security guardrails aligned to audit requirements. We treat compliance visibility as part of platform readiness. The destination environment is defined as an operable baseline for security and operations teams.

Yes. Application migration sequencing is aligned to release calendars and dependency risk. Waves are structured around stabilization windows and test gates. The goal is continuity of delivery, not a freeze of the business.

A core pod typically includes infrastructure or cloud architects, migration engineers, data engineers where required, security engineering, QA automation, and a cutover lead. The pod works in weekly milestones tied to wave readiness checkpoints, with executive visibility grounded in concrete deliverables and risk status.

Sphere runs migrations across AWS, Azure, and GCP, as well as cloud-to-cloud transitions. We support VMware estates (vSphere, VCF), alternative virtualization platforms, Kubernetes-based targets, and hybrid models. For data platforms, we handle database and warehouse migrations including Oracle, SQL Server, MongoDB, Teradata, Netezza, Snowflake, BigQuery, and PostgreSQL-based targets.

We move into stabilization and optimization. That includes performance tuning, cost refinement, operational handoff, governance controls, and documentation transfer. The goal is a platform your teams can operate without dependency on ongoing firefighting.

Teams usually engage when one of the following becomes visible: audit gaps, infrastructure aging risk, data center exit deadlines, M&A consolidation pressure, escalating cloud spend without clarity, or operational instability during releases. If outages, audit findings, or spend drift are unacceptable, planning should start before the pressure escalates.

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