--- title: "Cloud-to-On-Premises Migration Services | Agility" url: https://agilitytech.ai/cloud-to-on-premise-migration description: "Migrate apps, data and workloads from public cloud back to on-premises: zero data loss, minimal downtime, and a clear TCO case. Cloud repatriation by Agility." publisher: Agility (agilitytech.ai) --- Cloud repatriation # Cloud-to-On-Premises Migration Agility moves your applications, data, and workloads from public cloud back to on-premises and private infrastructure, with zero data loss and minimal downtime. [Book a migration assessment](https://agilitytech.ai/contact) Data loss, by designZero TCO horizon we model3 to 5 yrs AWS, Azure and GCP3 clouds Rehearsed migration method6 steps In short ## What cloud-to-on-premises migration means Agility moves your applications, data, and workloads from public cloud back to on-premises and private infrastructure, with zero data loss, minimal downtime, and a clear cost case. The cloud is not always the cheapest or safest home for every workload. For steady, regulated, or data-heavy systems, repatriating to infrastructure you own and control delivers control, compliance, and a stronger total cost of ownership. Need to run it on-prem too? See our [On-Premises Infrastructure Services](https://agilitytech.ai/on-premise-services), or explore our [Cloud Migration & Infrastructure solution](https://agilitytech.ai/solutions/cloud-migration). Why repatriate ## Why move from cloud to on-premises? ### Predictable Cost & TCO Escape runaway cloud bills and unpredictable egress fees. For steady, always-on workloads, owned infrastructure delivers a lower and far more predictable total cost of ownership over a 3 to 5 year horizon. Capital you control instead of a meter that never stops running. ### Data Sovereignty & Compliance Keep data inside borders you choose. On-premises and private infrastructure make data residency, GDPR, and sector-specific regulations straightforward. Your data sits where your auditors, regulators, and contracts require it to sit. ### Security & Control Run sensitive workloads on infrastructure you own and physically control. No shared tenancy, no opaque provider access, and full authority over network boundaries, encryption keys, and access policy from the silicon up. ### Performance & Latency Steady, high-throughput workloads frequently run faster and cheaper on dedicated on-premises hardware. Eliminate cross-region latency, noisy-neighbour contention, and the performance tax of abstracted cloud storage. ### No Vendor Lock-In Break free of proprietary managed services and pricing models that make leaving expensive. An open, portable on-prem or private-cloud stack keeps you in control of your architecture, your roadmap, and your negotiating position. Scope ## What we migrate From single applications to entire estates, we repatriate the full stack, and validate every layer before anything in the cloud is switched off. ### Applications & Microservices Monoliths and microservice estates re-platformed onto on-prem or private infrastructure with dependency mapping, configuration management, and blue-green cutover. ### Databases & Warehouses Relational databases, NoSQL stores, and analytical warehouses moved with schema validation, parallel-run reconciliation, and zero data loss. ### Storage & File Systems Object stores, block volumes, and file shares repatriated to owned SAN/NAS or software-defined storage with integrity verification at every step. ### VMs & Containers Virtual machine fleets and containerised workloads moved to VMware, bare metal, or on-prem Kubernetes. Rightsized for your hardware and traffic. ### AI/ML Workloads Private on-premises inference and training: GPU clusters, model serving, and data pipelines that keep proprietary models and sensitive training data in-house. ### Backup & Disaster Recovery Backup, replication, and DR rebuilt on infrastructure you own. Tested recovery objectives, immutable copies, and a documented runbook for failover. How we work ## Our migration approach A six-step repatriation method built around evidence, validation, and business continuity, so the migration is rehearsed long before it is real. - 01 ### Assessment & TCO Analysis Full inventory of cloud workloads, data volumes, and dependencies, plus a clear-eyed cost comparison so the business case for repatriation is grounded in real numbers, not assumptions. - 02 ### Target Architecture Design Design the destination: private cloud, VMware, bare metal, or on-prem Kubernetes, with hardware sizing, network topology, storage, and security mapped to your workloads. - 03 ### Migration Plan & Runbook A sequenced migration plan with full dependency mapping, batch ordering, validation gates, and a step-by-step runbook so every move is rehearsed before it happens. - 04 ### Data Migration & Validation Data moved in controlled batches with checksum and row-level validation and parallel-run reconciliation against the source, engineered for zero data loss. - 05 ### Cutover & Rollback Production cutover scheduled for minimal or zero downtime using blue-green and phased techniques, with a tested rollback path ready at every stage. - 06 ### Optimization & Handover Post-cutover tuning, monitoring and alerting, complete documentation, and a structured handover so your team owns the platform with confidence. Why Agility ## Why Agility for cloud repatriation? ### Vendor-Neutral Senior Engineers No platform agenda and no junior bench. Senior engineers who recommend the right target architecture for your workloads, not the one that pays the biggest referral fee. ### Cloud-to-On-Prem Experience Hands-on experience migrating workloads from AWS, Azure, and GCP back to on-premises and private-cloud infrastructure, with dependency mapping and parallel validation built in. ### Compliance-Ready Delivery Migrations designed around HIPAA, SOC 2, and GDPR requirements. Data residency, audit logging, and access controls treated as first-class deliverables, not afterthoughts. ### Fixed-Scope, Delivered in Weeks A fixed-scope assessment and a delivery plan measured in weeks, not open-ended months, so you know the cost, the timeline, and the outcome before we move a single workload. ### AI & Data Platforms On-Prem We can also stand up and run your AI and data platforms on-premises: private inference, training, and data pipelines on infrastructure you own and control. ### Zero Data Loss by Design Every production migration we deliver is engineered for zero data loss through phased batches, validation gates, and parallel-run reconciliation against the source. FAQ ## Cloud-to-on-premises migration: common questions Everything you need to know about moving from cloud to on-premises. [Ask us something else](https://agilitytech.ai/contact) **Why migrate from cloud back to on-premises?+** For steady, always-on workloads, owned infrastructure usually delivers lower and more predictable total cost of ownership, stronger data sovereignty and compliance posture, full security control, and freedom from vendor lock-in. Cloud repatriation is about putting the right workloads on the right infrastructure. **How long does a cloud-to-on-prem migration take?+** Scope-dependent. A focused application or database migration typically runs in a small number of weeks, while a full estate repatriation runs longer. We provide a fixed-scope assessment with a clear timeline before any work begins. **Will there be downtime during the migration?+** We design every migration for minimal or zero downtime using phased cutovers, blue-green deployment, and parallel-run validation. Where a brief cutover window is unavoidable, it is scheduled, communicated, and kept as short as possible, with a tested rollback path ready. **How do you ensure zero data loss?+** Data moves in controlled batches with checksum and row-level validation, parallel-run reconciliation comparing the on-prem target against the cloud source, and transaction management with automatic rollback on any failure. Nothing is decommissioned until the target is verified. **Which clouds do you migrate from?+** We migrate workloads from AWS, Azure, and Google Cloud back to on-premises and private-cloud infrastructure, including VMware, bare metal, and on-prem Kubernetes. **Can you run AI/ML workloads on-premises?+** Yes. We deploy private on-premises inference and training, GPU clusters, model serving, and data pipelines, so proprietary models and sensitive training data stay in-house on infrastructure you own. ## Planning a cloud exit? Let's scope your migration. Book a migration assessment and our engineers will map your workloads, model the TCO, and build a zero-data-loss plan to bring them home. [Book a migration assessment](https://agilitytech.ai/contact)