Half of cloud migrations blow their budget. Most of the rest blow their timeline instead. Werbooz runs migrations that don't do either - built around your actual workloads, not a generic playbook someone copy-pasted from the last client.
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We don't start with a recommendation. We start by finding out what you're actually running - dependencies, data volume, compliance exposure, the stuff your last vendor probably glossed over. The assessment tells us whether you're ready to move, or whether moving right now would just relocate your problems to a more expensive zip code.
A migration without a strategy is just an outage waiting for a date. We map out the provider, the approach, the sequencing - what moves first, what waits, what gets rebuilt instead of lifted. The plan exists on paper before a single workload moves.
Old app, new app, doesn't matter - we migrate it without breaking what it was already doing for you. Some apps lift cleanly. Others need re-platforming to actually behave once they're in the cloud. We tell you which is which before we start, not after something fails in production.
Moving data wrong is how companies end up with corrupted records and a very uncomfortable compliance call. We move it with validation checks at every stage, encryption that doesn't lapse mid-transfer, and a rollback plan in case something looks off before we call it done.
The foundation matters more than the apps sitting on top of it. We rebuild your infrastructure layer - networking, compute, storage - sized for what you actually need, not for what looked impressive in a sales deck.
That system held together with duct tape and one engineer's institutional knowledge? We modernize it instead of just relocating it. Same business logic, none of the fragility, and a system that doesn't depend on one person never quitting.
We use AI to figure out where your data should actually live - hot storage versus cold, which tier saves you money, which access pattern needs faster retrieval. It's a smarter placement decision than "put everything in the default bucket and hope."
Migration is exactly when security gets overlooked - everyone's focused on uptime, not access controls. We lock down the security posture as part of the migration itself, not as a separate project six months later when someone finally asks about it.
Stop paying for infrastructure sized for a business you no longer run. Move to something that fits.
Cloud Business Case Development.
Most stakeholders don't approve a migration because it sounds modern. They approve it because the numbers work. We build the actual financial case - current spend, projected spend, payback period - so the budget conversation isn't a guessing game.
Risk Mitigation & Compliance.
Every migration carries risk: data exposure during transfer, compliance gaps in the new environment, downtime nobody planned for. We identify these before they happen, not in a postmortem after they did.
Performance & Cost Optimization.
A migration that moves you to the cloud and triples your bill isn't a win. We design for performance and cost together, because optimizing one at the expense of the other just creates a different problem.
Expert Project Management.
Migrations fail less because of technical issues and more because nobody owned the timeline. We run this with real project management - milestones, accountability, and a single point of contact who actually answers when something needs a decision.
Vendor & Technology Selection.
AWS, Azure, GCP - the "best" provider depends entirely on your workload, not on whoever has the flashiest enterprise sales team. We help you pick based on fit, not familiarity.
Custom Solution Architecture.
Your business isn't a template, so your architecture shouldn't be either. We design for your specific scale, your specific compliance load, and your specific growth trajectory.
Organizational Change Management.
The technical migration is the easy part. Getting your team to actually trust and use the new environment is harder. We build in training and change management so adoption doesn't stall after go-live.
End-to-End Ownership.
One team, start to finish - assessment through ongoing management. No vendor handoffs where everyone blames the last team for what's broken now.
AI-First Migration.
We use AI to flag the configuration issues a human would catch eventually, just slower and after something already broke.
24/7 Cloud Monitoring.
Issues get caught before your customers notice them, not after support tickets start piling up.
Cost Transparency.
You see exactly what you're spending and why - no mystery line items that show up on next month's invoice unexplained.
On-Demand Scalability.
Resources flex with actual demand. You're not paying for capacity sized for a traffic spike that happens twice a year.
Accelerated Time-to-Cloud.
A proven methodology means less time spent re-learning lessons we already learned on the last fifty migrations.
Public Cloud Migration.
AWS, Azure, GCP - moved cleanly, with the scalability and global reach that public infrastructure actually delivers when it's configured correctly.
Private Cloud Migration.
For workloads that need dedicated infrastructure and tighter control, we build and migrate into a private environment that doesn't compromise on either.
Hybrid Cloud Migration.
On-premises and cloud working together, not duct-taped into something fragile. Right when some workloads need to stay local and others don't.
Multi-Cloud Migration.
Spreading workloads across providers for resilience and negotiating leverage - managed in a way that doesn't turn into three separate headaches.
Cloud-to-Cloud Migration.
Already on a cloud platform that isn't working out? We move you to a better fit without the disruption of starting from scratch.
Proven Migration Methodology.
A phased framework that's been tested against real production environments - not a theoretical process that only works in a slide deck.
Multi-Cloud Expertise.
Certified across all major platforms, which means our recommendation is based on your workload, not on which platform we happen to know best.
Comprehensive Security.
Security gets built into the migration plan from day one, mapped against whatever regulation your industry actually enforces.
Optimized Cloud ROI.
We stay engaged after migration to keep tuning cost and performance - because the savings that matter happen in month six, not on launch day.
Accelerated Time-to-Value.
DevOps automation and tooling that's already battle-tested means you're not paying for us to figure things out on your project.
Get a real assessment, not a sales pitch dressed up as one.
Right when the scope, deliverables, and timeline are already clear. One price, no surprises, no "scope clarification" calls three weeks in.
Right for ongoing cloud-managed services where you need experts integrated into your team long-term, not parachuted in for a single project.
Right when requirements are still evolving and you need flexibility more than a fixed number. You pay for actual hours, actual work.
The first step we take before moving anything is figuring out what you're actually running and why migrate in the first place. That answer shapes the entire strategy - there's no point building a roadmap before you know the terrain.
We pick the services that fit your workload, not the ones that look impressive on a slide. The blueprint gets drafted and reviewed before a single resource gets provisioned.
This is where most migrations get sloppy. We don't. Data moves with validation at every step, and the applications riding along with it get adapted to actually behave like cloud-native software - not just relocated software pretending to be cloud-native.
Once the data's landed, we stress-test it. Performance, security, functionality - all checked before we let anyone call this finished. "It migrated" and "it works" are two different claims, and we don't confuse them.
The cutover happens on our terms, not by accident. We plan the switch carefully enough that going live doesn't feel like a gamble.
We're not interested in being the only people who understand your environment. Your team gets trained properly, so six months from now they're not stuck waiting on us for things they should be able to handle themselves.
The first few weeks after migration usually surface things testing didn't catch. We keep watching and tuning during that window instead of declaring victory and walking away.
24/7 monitoring, real incident response, regular maintenance. Infrastructure that gets left alone after launch doesn't stay healthy - so we don't leave it alone.
| Tier | Cost | What's Included |
|---|---|---|
| Basic Level | $9,000 – $20,000 | Lift-and-shift migration, basic cloud setup, secure data transfer, minimal-downtime configuration |
| Moderate Level | $20,000 – $60,000 | Replatforming, security configuration, CI/CD integration, automated backup and recovery |
| Enterprise Level | $60,000 – $250,000+ | Full application redesign, multi-cloud architecture, DevOps transformation, advanced cloud-native security |
Cloud migration means moving your applications, data, and the infrastructure underneath them off your own servers and onto a cloud provider's. Once that happens, things like backup, patching, and capacity planning stop being your problem and become the provider's job - which is usually a better trade than it sounds, given what most internal IT teams are actually staffed to handle. The part nobody mentions enough: a poorly planned migration causes more problems than it solves. Skip the planning phase and you'll spend the next year fixing things that should've been caught before launch. That's the entire argument for working with people who've done this enough times to know where it breaks.
Running everything on-premises still works for plenty of businesses - until it doesn't. The economics shift, the scaling demands shift, and suddenly the system that was fine for five years can't keep up. A few concrete reasons migration pays off:
There's more underneath that - disaster recovery, faster innovation cycles, data that's actually usable instead of locked in a server closet. The honest caveat: how much of this you actually capture depends entirely on execution, which is why the planning phase isn't optional.
There's no universal winner here - the right answer depends on your existing stack, your workload type, and frankly your team's familiarity with each ecosystem.
AWS is the market leader for a reason: the most mature platform, the broadest service catalog, and infrastructure depth that's hard to match if you need global reach at scale.
Azure makes the most sense if you're already running on Microsoft tools - Windows Server, Active Directory, SQL Server. The integration advantage is real, not marketing.
Google Cloud is the smallest of the three by adoption but growing fast, and it's genuinely strong where data analytics and machine learning are the priority - that's where Google's underlying expertise actually shows.
| Feature | AWS | Azure | Google Cloud |
|---|---|---|---|
| Market Position | Market leader, most mature | Strong for Microsoft-centric enterprises | Strong in AI and data analytics |
| Global Reach | Largest infrastructure footprint | Extensive, fewer regions than AWS | Fast-growing, often more cost-efficient |
| Pricing Model | Pay-as-you-go, complex tiers | Pay-as-you-go, reserved instance discounts | Competitive, sustained-use discounts |
| Hybrid Support | Limited (Outposts, Local Zones) | Strong (Azure Arc, Azure Stack) | Limited (Anthos) |
| Security & Compliance | Wide certification coverage | Strong, enterprise-focused | Strong, fewer certifications |
| Best For | Large enterprises, global scale | Microsoft-stack businesses, hybrid needs | AI/ML-heavy, data-centric projects |
The decision usually comes down to one question: what's your team already good at, and what's your workload actually optimized for? We'll tell you honestly if a provider doesn't fit, even when it's not the one we'd prefer to build on.
Cost Savings.
Capital expenditure on physical servers drops to near zero. You shift to operational spend tied to actual usage, which is easier to manage and easier to justify.
Scalability and Flexibility.
Scale up for a launch, scale down after. No six-month procurement cycle standing between you and the capacity you need right now.
Enhanced Security.
Compliance with GDPR, HIPAA, and similar frameworks is built into most major providers' infrastructure - you're not building that from zero.
Faster Time-to-Market.
Infrastructure that used to take weeks to provision now takes hours. That difference compounds across every product launch you run after migrating.
Better Customer Experience.
Faster, more reliable infrastructure shows up directly in how your product feels to the people actually using it.
Lack of a Clear Strategy.
Skip the planning phase and you don't get faster, cheaper, or more reliable - you get a bigger bill, worse uptime, and a team scrambling to figure out what broke. That's not migration. That's just moving your mess to a new address.
Data Security and Compliance Risks.
Here's the trap nobody warns you about: move to the cloud and quietly downgrade your security posture in the process. Congrats - you've traded one set of problems for a fresh set of vulnerabilities, and you didn't fix a single thing.
Compatibility of Legacy Systems.
Old systems don't always play nicely with modern cloud architecture. Force it without planning and you risk data loss or corruption that's expensive to fix after the fact.
Skill Gap.
Most internal teams haven't run a dozen of these. The learning curve during the migration itself is exactly when mistakes get made.
Cost Overruns.
Cloud is cheaper than on-premises if it's managed well. Left unmanaged, costs creep upward in ways nobody notices until the invoice arrives.
Every one of these has a fix, and none of them are mysterious: Work with a partner who builds a real strategy around your specific infrastructure and migration type - rehost, replatform, or re-architect - before anything moves. For security, pick a provider with a strong compliance track record, encrypt everything in transit and at rest, and audit regularly instead of assuming it's fine. For legacy compatibility, hybrid solutions and middleware usually bridge the gap without forcing a disruptive full rebuild. For the skill gap, either invest in training your team properly or bring in people who've already done this - training internally is valid, it's just slower than most companies expect. And for cost control: set a real budget upfront, use tools like AWS Cost Explorer to track spend, and revisit resource allocation regularly instead of setting it once and forgetting it. None of these fixes are complicated. They just require someone to actually do them instead of hoping the migration goes smoothly on its own.
Discovery & Assessment.
We figure out why you're actually migrating - cost, scalability, innovation - and assess your current infrastructure against that goal. This determines whether public, private, or hybrid makes sense, before anyone commits to an architecture.
Planning & Design.
We pick the right model - IaaS, PaaS, SaaS - and the right approach - rehost, replatform, refactor - based on what you're trying to accomplish. Security architecture gets designed in parallel, not bolted on afterward.
Proof of Concept & Pilot Migration.
We move something small and non-critical first. This is where we catch problems while the stakes are still low, before committing the entire infrastructure to an unproven approach.
Full-Scale Migration.
Business-critical systems move first, in batches, with rigorous testing after every phase. We're not migrating everything at once and hoping nothing breaks.
Post-Migration Optimization & Stabilization.
Resources get tuned to actual usage patterns - auto-scaling, load balancing - and we run a final compliance check before calling the environment stable.
Continuous Improvement & Scaling.
Growth doesn't stop, so neither do we. We keep watching performance and tuning things as your workload scales. And once the foundation's actually solid only after that is usually where AI and ML integration comes in.
This decision shapes everything downstream, so it's worth getting right rather than defaulting to whatever's fastest.
Rehost moves your application to the cloud with minimal changes - the classic "lift and shift." It's fast, it's low-effort, and it doesn't touch your code. The catch: you don't get any cloud-native benefits, and you might just be running an inefficient app on someone else's hardware now instead of your own. Best for legacy apps that don't need optimization right now, or businesses that need a fast, transitional move.
Replatform makes modest changes - swapping in a managed database, adopting serverless functions here and there - without a full rebuild. You get some real cloud-native benefits without the time and risk of a complete re-architecture. The trade-off is that you're not fully optimized, just meaningfully better. Best for apps that would benefit from targeted improvements but don't justify a ground-up rebuild.
Re-architect means rebuilding the application specifically for the cloud - breaking it into microservices, designing for elasticity and automation from scratch. It's the most expensive and time-consuming path, and the riskiest. It's also the only one that actually future-proofs the system. Best for organizations planning to be on this architecture for years, where the long-term payoff justifies the upfront cost.
When choosing the right cloud migration partner a few things matter - no matter who you end up going with:
Experience & Expertise.
Migrations in general are easy to claim. What you want is someone who's done this specifically in your industry, where the compliance quirks and workload patterns actually match yours.
Technical Skills.
Real depth across AWS, Azure, and GCP - not "we've touched all three" depth, but genuine fluency in rehosting, replatforming, and re-architecting. If they can only talk confidently about one strategy, that's the strategy you're getting whether it fits or not.
Customization.
Your business isn't a template, so the plan shouldn't read like one. If the proposal could be handed to your competitor with the company name swapped out, that's a red flag.
Security & Compliance.
Ask for specifics, not a generic security slide. A partner who can point to actual regulatory frameworks they've worked within - not just "we take security seriously" - is the one worth trusting.
Support & Training.
Find out what happens after the migration's done. If the answer is vague, assume you'll be on your own the moment the invoice clears.
Proven Methodology.
"Best practices" is not a methodology - it's a phrase people use when they don't have one. Ask them to walk you through their actual process, step by step. If they can't, they're improvising.
References & Case Studies.
Talk to actual clients, not the two testimonials on their homepage. The unscripted answer tells you more than the polished one ever will.
What clients say
“Werbooz engineered our freight marketplace with remarkable precision and ownership. Their ability to execute complex systems fast gave us confidence to compete globally while maintaining performance, reliability, and seamless user experience.”
Nnamdi George Okafor
CEO, Kargoplex
“Werbooz delivered exceptional work across both Fawwnity and Anahama, truly understanding our vision. Their consistency and quality made us repeat clients, and we confidently recommend Werbooz to anyone building seriously.”
Priya Sharma
Founder, Anahama | Co-founder, Fawwnity
“Working with Werbooz was a great experience. They understood our requirements clearly and delivered everything with care and precision. The platform feels smooth, thoughtful, and exactly aligned with our expectations.”
Subodha Kumar
Executive Editor, MBR Journal
“Working with Werbooz was a smooth and enjoyable experience. They understood our vision clearly and delivered exactly what we needed with great attention to detail and thoughtful execution throughout.”
Kalyan Singhal
Publisher & Co-Editor in Chief, MBR Journal
“Werbooz built our entire AI-powered infrastructure with exceptional clarity and execution. From co-pilot systems to user flows, everything works seamlessly, enabling meaningful career conversations at scale without complexity.”
Tejas N Gowda
CEO, Develup
“Werbooz consistently delivers high-performance execution across our platforms. Their ability to handle complex systems and maintain speed, stability, and precision makes them a reliable partner for our growing infrastructure.”
Farhan Ahmed
Associate Director, TransFi
“Werbooz built our platform and automation systems with a strong focus on efficiency and scalability. Everything runs smoothly, from website to notifications, enabling us to manage operations without friction.”
Adit Chouhan
Founder, Weekendo
“Werbooz delivered a unique platform combining e-commerce with storytelling effortlessly. Their execution and technical expertise created an engaging, smooth experience that stands out while supporting our growing user base.”
Aanya Jai
Founder, Probehave
Genuinely, it depends. A single application can be done in a few weeks. A full enterprise re-architecture can run past a year. Anyone who gives you a number before they've actually looked at your environment is guessing - we'll give you a real one after the readiness assessment, not before.
Yes, and honestly, that's most of what we do. We've pulled applications off infrastructure that hadn't been touched in over a decade - the kind of systems where the original documentation is someone's memory. Age isn't the blocker people assume it is.
A decent signal: your infrastructure costs keep creeping up without anything actually improving, or you're watching competitors move faster because your procurement process is the bottleneck. But honestly, the only way to know for sure is to look at your actual workloads and data - which is exactly what the readiness assessment does, instead of you having to guess.
Yes - and it happens more than people think. Pricing shifts, a feature gap that finally becomes a dealbreaker, a merger that forces the issue. It takes real planning around data transfer and finding the right service equivalents on the other side, but it's far from rare. We've done plenty of them.
Usually, yes. Unless you've already got a team that's done several of these recently and isn't busy with anything else - which describes almost nobody. The real cost of going it alone isn't the salaries. It's the mistakes made while your team is still learning on the job, and those mistakes tend to cost more than just hiring it out would have.
Terraform and CloudFormation for infrastructure as code. Docker and Kubernetes for containers. Jenkins and GitLab CI for automation. AWS DMS or Azure's migration service for moving the data itself. The exact mix depends on where you're headed and what you're running - and we'll walk you through the choices before anything starts, not after.
Related capabilities
Werbooz covers product, engineering, AI, cloud, and growth under one roof. If your roadmap touches adjacent work, these are sensible places to start.
Let's talk
One short brief. One business day. A senior engineer's honest read on scope, timeline, and cost-whether or not you end up working with us.
One business day
We review every inquiry personally and reply within 24 hours on weekdays.
Direct to the founders
Your message lands with the people who will actually scope and lead the work.
Global-friendly
We collaborate async across US, EU, and APAC time zones - with overlap where it counts.
Prefer email? Write to info@werbooz.com.
