Cloud Infrastructure & Migration
Independent cloud strategy, migration, and operations — from architects with no vendor partnerships, an owned colocation alternative, and decades of paying real production bills. AWS, Azure, GCP, hybrid, or off-cloud entirely. The right answer depends on the workload, not on who is sponsoring the engagement.
Book a Discovery CallMost cloud consulting is sold by firms with vendor partnerships. The hyperscaler pays the consultancy a referral, sponsors the certifications, sets the training curriculum, and quietly steers the recommendations. When the consultant tells you to put more workloads in the cloud, they have a financial reason to do so — separate from whether the cloud is genuinely the right home for the workload.
ScaleLogic's cloud work is independent. We do not take cloud-vendor money. We operate workloads across AWS, Azure, and Google Cloud where they earn their cost, and on private colocation infrastructure where the hyperscaler economics do not hold. The recommendation depends on the workload — not on who is sponsoring the engagement.
The kinds of cloud and infrastructure work we deliver. Most engagements blend several of these, calibrated to your workload, your budget, and your compliance environment.
Moving applications and data into AWS, Azure, or Google Cloud — designed against the actual workload, not against a vendor reference architecture. Lift-and-shift when that fits, re-architecture when it does not, and a clear answer either way before any migration begins.
Most cloud bills have meaningful waste: unused capacity, over-provisioned services, oversold managed offerings, instances running at 5% utilization. We audit the actual usage, model where the savings live, and recommend the specific changes — including the ones that mean using less cloud, not more.
When the architecture genuinely benefits from spanning providers — regulatory geography, redundancy, vendor risk hedging — we design for it. When it does not (which is most of the time), we say so. Multi-cloud is a tool, not a default. Most companies should pick one and commit.
The architectural pattern most cloud consultants will not recommend: some workloads in the hyperscalers, some in private colocation, integrated cleanly. For data-sensitive, regulated, or cost-pressured environments, hybrid is often the right answer — and we can host the colocation side ourselves on our private infrastructure.
Moving workloads off the hyperscalers when the math no longer works. Rising cloud bills, compliance pressure, data sovereignty requirements, or operational complexity that outgrew the original cost case. We design and execute the migration off cloud — including to our private colocation infrastructure if that fits — without losing the things the cloud was doing well.
Docker where it pays back, Kubernetes when the operational complexity is genuinely justified. Most systems do not need Kubernetes; the ones that do, need it designed correctly the first time. We help you tell the difference and implement what actually fits.
Deployment pipelines designed for the actual cadence and risk profile of your work. Zero-downtime deployment, automated rollback, environment promotion, security gates. Boring is good — pipelines that quietly do their job every day for a decade are worth more than sophisticated ones nobody fully understands.
Backup strategies that get tested, not just configured. Multi-region setups where the geography is justified by actual RTO and RPO requirements, not by marketing fear. Disaster recovery designed against your real recovery scenarios — and exercised at least once a year so you know it works.
A short sample of infrastructure work across hyperscaler, colocation, and hybrid environments. Each links to the full case study.
Architected and operates a 14-storefront multi-tenant e-commerce platform running on private colocation infrastructure with Cisco firewalls, VMware, and dedicated networking. Seven payment gateways, fraud detection with failover, and continuous PCI-DSS compliance for more than twenty years — entirely off the hyperscalers, at a cost profile no cloud bill could match.
Read the case studyArchitected a biometric identity verification platform with multi-algorithm ML consensus, browser-based inference across WebGL, WASM, and WebGPU, and AWS-hosted ML services where they earned their cost. Where the hyperscaler genuinely fit the workload, we used it; where it did not, we did not.
Read the case studyArchitected a multi-tenant SaaS platform with provider-agnostic AI abstraction, owned email infrastructure, and zero-downtime deployment via Git webhook automation. The same provider-independence discipline applied to AI vendors applies to cloud vendors: design so the underlying platform can move when it needs to.
Read the case studyWhat separates this from a typical cloud consulting engagement.
We do not accept fees, commissions, certifications, or referral payments from AWS, Azure, Google Cloud, or any cloud platform. Our recommendations are independent because we have no financial reason to push one direction. Most cloud consultancies cannot say this honestly — their business model depends on hyperscaler partnerships and the kickbacks they bring.
Most cloud consultants only have one answer to recommend, because the hyperscalers are the only infrastructure they work with. We have an actual alternative — private colocation infrastructure under our own operations — which means we can credibly recommend off-cloud or hybrid when that genuinely fits. The independence is structural, not rhetorical.
Cost optimization is grounded in operating production bills, not in vendor cost calculators. We know what AWS actually costs at scale once the data egress, the managed service premiums, the reserved instance commitments, and the support contracts are factored in. The bill is rarely what the calculator suggested.
The right infrastructure decision starts with the workload — its scale, its data sensitivity, its regulatory requirements, its operational profile, its budget. The cloud question is downstream of those answers. Most cloud consulting starts with "cloud" as the answer and works backward.
We design and execute migrations off the hyperscalers when that is the right call — including to our own private colocation infrastructure. Most cloud consultants do not have the option to recommend this, because their business depends on putting more workloads onto the cloud, not taking them off.
Most engagements come from one of two angles. Both lead to a conversation.
You are planning a cloud move
New workload, planned migration, replatforming a legacy system, or evaluating the next phase of your infrastructure strategy. We assess the actual workload — scale, data sensitivity, compliance environment, cost ceiling — and recommend the right destination. Sometimes that is AWS, Azure, or GCP. Sometimes it is private colocation. Sometimes it is hybrid.
Book a discovery callYour cloud situation is hurting you
Cloud bill that has tripled in two years. Multi-cloud setup that nobody fully understands. Compliance auditors asking about data residency. Performance walls that managed services cannot fix. We assess the actual situation, identify the optimizations, and design the corrective path — including repatriation off the hyperscalers when that is what the analysis shows.
Talk to us about an assessmentBook a discovery call — no obligation. We will give you an honest read on whether a cloud engagement is the right shape for your situation, what the right destination is for your workload, and whether ScaleLogic is the right partner. If we are not, we will point you toward someone who is.
Book a Discovery Call