August 23, 2025|5:12 PM
Whether it’s IT operations, cloud migration, or AI-driven innovation – let’s explore how we can support your success.
Can you move critical apps as‑is, prove value fast, and still keep long‑term options open? We ask this because many leaders face tight deadlines, tight budgets, and the need to protect service levels while modernizing infrastructure.
We present lift and shift as a pragmatic approach that rehosts applications and data without major code changes, so teams see results quickly and finance teams can convert CapEx into OpEx.
Our focus is to secure continuity, reduce disruption, and build a clear post‑cutover plan that avoids stranded technical debt, while enabling later optimization when the business is ready.
When timelines are tight and risk must be controlled, moving workloads with minimal code change often delivers the quickest business return. We define this rehost approach as moving identical application components, configurations, and data flows into IaaS to compress timelines and lower migration risk.
“As‑is” rarely means untouched: we map compute, storage, and network needs to achieve parity, baseline performance, and right‑size resources before cutover. This prevents replicated legacy inefficiencies and avoids surprising latency or throughput gaps in the new environment.
Pricing models and managed platform services now favor designs that exploit elasticity, automation, and platform features. As a result, rehosting is best as an on‑ramp for systems that are cloud‑ready—VMware estates, containerized apps, or microservices—or when rapid cost relief and time-to-value are the priority.
| Consideration | Rehost (as‑is) | When to prefer | Risk to monitor |
|---|---|---|---|
| Time to value | High | Data center exits, tight deadlines | Cutover complexity |
| Code changes | Minimal | Legacy apps without refactor budget | Missed cloud efficiencies |
| Performance | Comparable if right‑sized | VMware, containers | Latency, throughput differences |
By moving systems with minimal change, teams get measurable results without long refactors or disruption. We preserve application behavior, run controlled cutovers, and validate outcomes quickly so business users see continuity.
We accelerate delivery by avoiding extensive redevelopment, which preserves user experience and shortens the path to expected results. Early wins and KPIs build stakeholder confidence.
Converting capital spend to operational expense lets organizations buy compute on demand, right-size resources, and improve unit economics while we tune workloads after cutover.
We help you take advantage of elasticity to scale automatically, reducing idle capacity costs. Placing workloads on current-generation hardware often yields immediate performance uplift without capital purchases.
Rehosting lowers on-premises footprint and unlocks hybrid controls for multi-environment operations. We also strengthen posture using provider identity, RBAC, MFA, and encryption to standardize protections.
Even straightforward rehosting carries trade-offs that leaders must plan for. We call them out so teams can act before cutover.
Missing cloud-native capabilities: Without refactoring, applications often miss autoscaling, containerization, and ephemeral compute. Legacy inefficiencies can persist and reduce long-term value.
Performance and latency gaps: We baseline performance, find hotspots, and model network effects so throughput and user experience do not degrade after the move.
We resolve licensing and API access constraints early to avoid legal or service interruptions. Training, runbooks, and shared operations help teams close the skills gap.
| Risk | Impact | Mitigation |
|---|---|---|
| Legacy inefficiencies | Higher run costs | Pre-move right‑sizing and tuning |
| Performance degradation | User complaints, SLA hits | Baseline tests and staging cutovers |
| Repatriation | Project reversal, lost savings | Phased deployments, cost guardrails |
Data point: In a survey of 350 IT decision-makers, repatriations followed technical provisioning difficulties (126), unexpected costs (70), wrong provider choice (74), and performance issues (102). We design to avoid those outcomes.
For date-driven moves and immediate cost reduction, rehosting often offers the clearest path forward. We favor this approach when applications can run with minimal change and teams need predictable outcomes with short timelines.
We recommend rehosting for VMware estates, containerized services, and microservices that are already cloud-ready. These use cases minimize rework while preserving performance and operational practices.
Off-the-shelf applications that cannot be rearchitected are prime candidates; vendor support stays intact and users see familiar behavior. We also sequence moves for lease exits, M&A, or other time-bound events to meet fixed dates.
We enhance data protection by using scalable storage tiers and cross-region replication to improve recovery without adding on-prem hardware. For most workloads, this delivers better RPO/RTO at lower operational cost.
| Use case | Why rehost | Key benefit |
|---|---|---|
| VMware estates | Minimal code change, compatible tooling | Fast lift with predictable ops |
| Containerized apps | Portable runtimes, low refactor need | Maintain CI/CD and scale easily |
| Off-the-shelf applications | Vendor constraints prevent refactor | Preserve support, reduce capital spend |
We offer a concise playbook that turns planning into repeatable actions, so teams move systems with predictability and low disruption.
Inventory first: validate lifespan, dependencies, and performance baselines to avoid moving applications due to retire within 12 months.
Check API access and integration points so data flows remain intact in the target environment.
We map runbooks, critical paths, and risk scores so the highest business impact goes first. Lock requirements early to prevent feature creep.
Design a compliant landing zone—network, IAM, logging, and encryption—then leverage replication and provider tools such as HCX to reduce downtime.
Enterprises with large VMware footprints need practical ways to move vast VM estates while keeping operations familiar. We focus on parity, secure network extension, and consistent tooling so teams can run known processes in a new environment.
We recommend VMware HCX to extend your on-prem network into provider environments, enabling secure, large-scale VM mobility without rearchitecting. HCX supports live vMotion and bulk waves, so we sequence workloads to reduce risk and preserve performance.
We configure network extension, routing, and security policies to keep IP addressing intact and lower cutover complexity. This preserves application reachability and reduces downtime for critical services.
We validate ESXi hypervisor and vSphere API compatibility so existing scripts, monitoring agents, and runbooks keep working. That continuity speeds day‑2 operations and shortens the learning curve for operations teams.
For documented use cases—data center exits, rapid consolidation, and DR modernization—HCX often accelerates outcomes. For more on practical approaches to lift-and-shift guidance, see our detailed resource: lift-and-shift guidance.
Clear guardrails for cost, performance, and security turn operational risk into measurable outcomes. We design controls that let teams protect service levels while keeping recurring costs transparent and predictable.
We create a cost model that lists compute, storage, network, licenses, and data movement so hidden costs are visible before cutover.
This model reduces surprise bills and supports informed tradeoffs between performance and spend.
Autoscaling replaces idle resources with policy-driven elasticity tied to real demand. That reduces waste while preserving responsiveness.
Reserved capacity and storage tiering further align recurring costs with actual usage patterns.
We integrate telemetry, dashboards, and anomaly alerts so teams detect cost spikes and performance degradation fast.
FinOps practices and anomaly detection cut overruns, and clear tagging enables chargeback and showback to business units.
Identity, encryption, logging, and segmentation are built into the landing environment so regulated workloads remain compliant continuously.
We document governance workflows, set SLO baselines, and train teams to act on cost and security signals.
We guide decisions by mapping business outcomes to the best modernization path for each application. That means picking among practical alternatives that trade delivery time, risk, and investment.
Replatforming blends rehosting with small code changes to unlock managed services or better performance. It preserves most behavior while letting teams take advantage of cost and operational gains without a full rewrite.
Refactoring breaks monoliths into microservices, uses containers, or adopts serverless and managed data services. Upfront effort is higher, but scalability and innovation potential grow substantially over time.
When commercial offerings meet requirements, replacing bespoke applications accelerates outcomes and offloads undifferentiated operations, at the cost of reduced customization.
Match goals, timelines, budgets, and team capabilities. Use a phased plan: rehost fast where dates demand, then replatform or refactor based on validated KPIs.
| Option | When to use | Key trade-off |
|---|---|---|
| Replatform | Need better cloud performance quickly | Low code effort, moderate gains |
| Refactor | Long-term scale and innovation | High effort, high payoff |
| SaaS | Standard workflows, speed to value | Less customization, faster ops |
The right endpoint combines speedy execution with a measured roadmap for long-term gains.
We reaffirm that a rehost-first approach delivers quick results when time, cost control, and operational continuity matter most, then paves the way for replatforming or refactoring once KPIs justify the work.
Disciplined planning, cost guardrails, and observability reduce surprise bills, performance regressions, and the risk of repatriation; these controls protect data, applications, and infrastructure during every wave.
Next steps: finalize the runbook, validate landing-zone controls, run a pilot, and schedule iterative optimization—right-sizing, autoscaling, and managed services—to sustain value.
We partner with your teams to align objectives, timelines, and resources, deliver measurable business outcomes, and guide the path from a fast initial move to lasting operational improvement.
It refers to rehosting applications and data as-is onto infrastructure-as-a-service, moving workloads without major code or architecture changes to accelerate relocation and reduce on-premises footprint.
Organizations gain faster time-to-value, convert CapEx to OpEx with pay-by-use pricing, consolidate data centers, and access on-demand scalability and enhanced infrastructure managed by major providers.
Risks include missing cloud-native capabilities, potential performance and latency gaps, licensing and compliance constraints, hidden operational costs, and the chance you may need to repatriate workloads if goals aren’t met.
It suits off-the-shelf apps, VMware workloads, and situations requiring rapid data center exit or time-bound migration where minimal changes and fast cost relief are priorities.
Perform an inventory of lifespans, interdependencies, and performance baselines, identify critical paths, and map runbooks so you can prioritize sequencing and create accurate cutover plans.
Solutions such as VMware HCX enable bulk VM mobility, while replication tools, automation scripts, and validated cutover procedures reduce downtime and simplify network extension between data center and the target environment.
Build a cost model, right-size instances, use autoscaling for elasticity, and adopt observability plus FinOps practices to monitor usage, set alerts, and continuously optimize spend.
Establish baselines, implement monitoring and alerting, use network controls and encryption, and apply compliance-by-design controls to meet regulatory needs and maintain service levels.
Review vendor agreements for cloud use, validate regulatory controls in the target environment, and factor potential additional licensing or audit costs into your financial and risk assessments.
Stabilize operations, run performance tuning, refactor or replatform high-value apps over time for cloud-native benefits, and implement ongoing FinOps and security improvements.
Align choices to business goals, timelines, budget, and team skills: rehosting for speed and minimal change, replatforming for moderate cost/perf gains, and refactoring for long-term scalability and cloud-native advantages.
You need cross-functional skills in infrastructure, networking, security, application owners, and automation, supported by project managers and FinOps practitioners to control cost and governance.
Some will, but others may show latency or performance issues without optimization; plan testing and performance validation, and be ready to refactor apps that don’t meet SLAs.
Maintain replication checkpoints, define clear rollback criteria in runbooks, rehearse cutovers, and include failback and communication plans so you can restore the previous state rapidly if needed.
Automation reduces manual effort, shortens migration windows, ensures repeatable steps for replication and cutover, and supports consistent landing zones and post-move stabilization.
Yes — replatforming, refactoring into microservices or serverless, and adopting SaaS can deliver greater performance, scalability, and operational efficiency when time and budget allow.
