Most "cloud transformation" projects don't transform anything. They just move the same bloated infrastructure to a more expensive zip code. Werbooz builds cloud systems that actually earn their hosting bill - engineered for performance, security, and scale, not for a slide in someone's board deck. We don't sell cloud for the sake of cloud. We build infrastructure that cuts your spend, survives an audit, and scales without you thinking about it.
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Most cloud strategy documents are 40 pages of nothing. Ours come with a number attached - projected cost reduction, projected latency improvement, projected time-to-deploy. We assess your current stack, kill the parts that don't justify their cost, and build a strategy around what actually moves your margins.
We build applications designed for the cloud from day one - not legacy apps wearing a container as a costume. Microservices, Kubernetes, Docker, serverless where it fits. The result is software that scales horizontally without someone manually provisioning servers at 2 a.m.
A cloud environment with no security architecture isn't infrastructure. It's a liability waiting for a breach report. We build security into the architecture layer - threat detection, encryption at rest and in transit, and compliance mapping to whatever standard your industry actually enforces.
Lift-and-shift migrations that ignore your application's actual dependencies are how companies end up paying twice - once to migrate, once to fix what broke. We use automated discovery and migration tooling to move legacy systems with minimal downtime, and we map dependencies before we touch a single workload.
Transformation isn't a rebrand of your existing servers. It's redesigning how your infrastructure behaves under load, under cost pressure, and under change. We rebuild the parts of your stack that are actually holding you back - not the parts that look good in a case study.
Manual deployments are how teams ship bugs on a Friday. We build CI/CD pipelines with Jenkins, Terraform, and Ansible that turn deployment into a non-event - predictable, fast, and reversible when something goes wrong. Because something will go wrong eventually.
Storage isn't just "put the data somewhere." It's access control, backup cadence, retrieval speed, and cost per gigabyte at scale - all decided correctly, upfront. We design storage architectures that don't surprise you on the monthly invoice.
If your recovery plan has never been tested, it isn't a recovery plan - it's a guess. We build cloud-based backup and failover systems on AWS, Azure, and GCP that get tested, not just documented, so downtime is measured in minutes, not headlines.
Stop paying for cloud capacity you don't use and don't need. Our infrastructure is built around what your business actually requires - nothing padded, nothing oversized.
Infrastructure as a Service (IaaS).
Scalable compute, storage, and networking - virtual machines without the overhead of owning physical hardware. You get full control over the stack above the infrastructure layer, and we make sure that control doesn't come with unnecessary complexity.
Platform as a Service (PaaS).
A platform layer that handles provisioning, scaling, and runtime management so your developers build product instead of babysitting servers. Automated scaling means capacity decisions stop being a manual chore.
Software as a Service (SaaS).
Cloud-hosted applications accessible from anywhere, with zero local installation and zero "works on my machine" excuses. Built for usability first, because adoption dies the moment the UX gets in the way.
Function as a Service (FaaS).
Code that runs on demand, triggered by events, with no server to manage. We build the APIs and backend logic that make this model actually production-viable - not just a demo that works once.
Database as a Service (DBaaS).
We have managed a lot of databases that handle provisioning, backup, and scaling so your team isn't manually tuning indexes at midnight. Secure, high-performance, and built to scale without a rearchitecture every time traffic spikes.
Container as a Service (CaaS).
Container orchestration without the operational headache of managing the orchestration layer yourself. We handle deployment and lifecycle management so containerized workloads ship faster and break less.
Cloud Optimization Solutions.
We build AI-driven systems that monitor resource utilization in real time and reallocate before you overpay for idle capacity. Most "cloud cost overruns" are just unmonitored waste - this fixes that at the source.
Intelligent Data Analytics Platforms.
Cloud plus AI means decisions made on current data, not last quarter's spreadsheet. We build analytics pipelines that surface insight in real time, where the decision actually needs to happen.
Scalable MLOps Pipelines.
Training a model once is easy. Keeping it trained, deployed, and monitored at scale is the actual job. We build end-to-end MLOps pipelines that handle the full lifecycle without manual babysitting at each stage.
Predictive Cloud Applications.
Reactive infrastructure tells you something broke after it broke. Predictive applications forecast the trend before it becomes a problem - and automate the response instead of waiting for a human to notice.
AI-Enhanced Cloud Security.
Static security rules can't keep pace with dynamic threats. We integrate AI and ML into the security layer so threat detection and response happen automatically, continuously, without waiting for a quarterly audit to catch what already happened.
Automated Cloud Operations.
Manual cloud operations don't scale - they just create more 3 a.m. pages. Human errors are reduced significantly by introducing AI-powered automations these systems keep the uptime high without requiring a bigger team every time you grow.
Public Cloud Deployment.
Cost effective and scalable infrastructure like AWS, Azure, Google Cloud can be utilised without the capital expense of owning hardware. Right for workloads that don't carry strict data residency requirements.
Private Cloud Deployment.
Full control, full customization, either on-premise or hosted. Right for organizations where compliance or sensitivity makes shared infrastructure a non-starter.
Hybrid Cloud Deployment.
On-premises and public cloud working as one system, not two systems duct-taped together. Right when some workloads need control and others need elasticity, and you're not willing to compromise on either.
Multi-Cloud Deployment.
Architected across multiple public cloud providers to avoid putting your entire operation at the mercy of one vendor's outage or pricing decision.
Serverless Deployment.
AWS Lambda adopts a serverless architecture that can easily eliminate the infrastructure management entirely. If the workloads are unpredictable and could have spiky traffic then these serverless architectures are better than paying for idle capacity.
We build on AWS's scalability and global infrastructure to ship faster and scale without the usual capacity-planning headaches. Cost optimization is a deliverable, not an afterthought.
For organizations already inside the Microsoft ecosystem, Azure integration means infrastructure that talks to your existing tools instead of fighting them. Fewer integration headaches, faster operational adoption.
We use GCP's AI, ML, and data analytics depth where the workload actually calls for it - not because it's trendy, but because some data problems are genuinely better solved on this stack.
Cloud-Certified Experts.
Certified engineers who've shipped production cloud systems, not consultants reciting a vendor's marketing deck back to you.
Measurable ROI.
Every optimization is tied to a number - cost reduction, latency improvement, uptime gain. If we can't measure it, we don't claim it.
End-to-End Ownership.
One team across consulting, architecture, migration, security, and ongoing optimization. No handoffs, no finger-pointing between vendors when something breaks.
Enterprise-Grade Security.
Multi-layered encryption, advanced threat detection, and compliance mapping built into the architecture - not bolted on after a client asks.
Client-First Approach.
Agile delivery, real-time communication, and timelines we actually hit. Not aspirational timelines that quietly slip every sprint.
A breach costs more than the fix. It costs the client relationships you don't get to repair. Our cloud security services close the gaps before they become headlines.
Right when your project scope is well-defined with clear deliverables - a specific security audit, a specific implementation. Predictable budget, predictable timeline, no scope creep negotiations mid-project.
Right for businesses with cloud needs that keep evolving. You get a committed team embedded in your roadmap, not a vendor you re-onboard every quarter.
Right for short-term or uncertain-scope engagements where workload fluctuates. You pay for actual time spent - nothing padded into a retainer you don't need.
In-Depth Cloud Readiness Assessment.
We analyze your existing infrastructure, applications, and data before recommending anything. No migration plan gets written before we know exactly what we're migrating.
Tailored Cloud Strategy.
Based on the assessment, we define the right service model, the right technologies, and a phased implementation plan. Generic strategies get generic results - this one is built around your actual constraints.
Robust Cloud Architecture.
Our architects design infrastructure for reliability and future scale, not just for passing initial load testing. The architecture has to survive growth, not just launch day.
Seamless Cloud Migration.
We execute migration with a plan that accounts for dependencies, not just data transfer. Minimal disruption isn't a marketing line - it's a measured outcome we hold ourselves to.
Quality Assurance.
Before we go live we perform rigorous testing, performance tuning, and security audits. We do not believe in damage control that we started working after a client reports an issue.
Secured Cloud Deployment.
Deployment happens with security protocols enforced at every layer - not added retroactively because someone flagged a gap during a compliance review.
Support & Maintenance.
Continuous monitoring, proactive maintenance, and 24/7 support. Infrastructure that gets ignored after launch degrades. We don't let that happen on our watch.
| Tier | Annual Range | What's Included |
|---|---|---|
| Basic App | $10,000 – $20,000/year | Basic infrastructure setup, security, backups, 24/7 support |
| Medium Complexity App | $20,000 – $40,000/year | Load balancing, auto-scaling, CI/CD, data compliance |
| Advanced App | $40,000 – $80,000+/year | Decentralized cloud model, AI/ML integration, custom APIs, DevSecOps |
Accessing data, resources, and applications on remote servers - anywhere, anytime - instead of maintaining physical infrastructure on-site is cloud computing. It's the on-demand delivery of IT resources (servers, storage, databases, networking, software, analytics) over the internet, priced on actual usage. Four things define it: resources available on-demand without provisioning delay; delivery happens over the internet via browser, API, or CLI; pricing is pay-as-you-go, eliminating large upfront capital costs; and the infrastructure itself is owned and maintained by a third-party provider like AWS, Azure, or Google Cloud - not by you.
| Service Model | What It Provides | User Manages | Provider Manages | Example |
|---|---|---|---|---|
| IaaS | Virtual infrastructure (servers, storage, networks, OS) | OS, apps, data, middleware | Hardware, virtualization, networking | AWS EC2, Azure VMs |
| PaaS | Platform to build/run apps | Apps, data | OS, servers, databases, tools | Google App Engine, AWS Elastic Beanstalk |
| SaaS | Complete, ready-to-use application | User data within the app | Everything - app, infrastructure, maintenance | Google Workspace, Salesforce, Microsoft 365 |
| Serverless (FaaS) | Runs code with no server management | Functions/code | Servers, scaling, infrastructure | AWS Lambda, Azure Functions |
Why it matters for margins, not just architecture: done right, you get product built within budget instead of over it. Scalable infrastructure that's sized to actual need, not padded for "future-proofing" that never arrives. New resources provisioned in minutes, not procurement cycles. A consulting partner who implements and optimizes - not one who hands you a strategy deck and disappears. And an internal team freed up to build product instead of managing servers.
Public Cloud.
A shared infrastructure is delivered by a third-party over the internet. Startups and SMEs which are restricted to limited infrastructure budgets, web hosting, SaaS applications, and dev/test environments should go with public cloud infra. The upside is low upfront cost, on-demand scalability, and zero maintenance overhead. The trade-off is less control over the underlying environment.
Private Cloud.
Dedicated infrastructure for a single organization, either on-premises or third-party hosted. Right for enterprises with strict compliance or data sovereignty requirements - financial services, healthcare, government - and for legacy systems that need custom integration. You get more control and higher security, at a higher operational cost.
Hybrid Cloud.
Businesses which require balancing workloads across different environments, building disaster recovery strategies, or migrating off legacy infrastructure gradually instead of in one go. When public and private cloud are working together, with data and applications moving between them then the benefit is flexibility without abandoning what already works.
AI-Native Cloud Architectures.
Five years ago, AI on the cloud meant a separate ML pipeline bolted onto the side of your infrastructure. That's not how it works anymore. Increasingly, AI sits inside the control plane itself - deciding scaling thresholds, rerouting traffic, flagging anomalies - work that used to need a human on call at 2 a.m.
Serverless and Event-Driven Models.
People keep calling serverless a "trend," but at this point it's just how a growing share of new systems get built. Nobody wants to manage a server nobody can see. Write the function, define the trigger, let the provider deal with the rest.
Edge and Distributed Cloud Expansion.
IoT and real-time analytics don't tolerate round-trip latency to a data center three states away. So compute moves closer to where the data is generated. Edge isn't the niche use case it was three years ago - it's becoming a standard layer in any deployment that touches sensors, devices, or real-time decisions.
Stronger Cloud Security and Governance.
Run two clouds and your attack surface roughly doubles. Run three and good luck tracking it manually. Zero-trust architecture and automated threat detection used to be the differentiator vendors pitched in a sales call. Now they're just the floor - table stakes for anyone running multi-cloud at any real scale.
Sustainable and Green Cloud Initiatives.
Energy-efficient data centers and carbon-neutral commitments are showing up in procurement criteria now, not just sustainability reports. Whether that's driven by genuine environmental pressure or by enterprise RFPs demanding it - probably both - providers are responding either way.
Industry-Specific Cloud Solutions.
"One platform for every industry" was always a compromise dressed up as efficiency. Vertical clouds - purpose-built for finance, healthcare, manufacturing - ship compliance-ready instead of compliance-adjacent. That gap matters more than it sounds like on paper.
Data Security Risks.
GDPR and HIPAA compliance is hard enough inside a single, well-understood environment. Spread the same data across three providers and a hybrid setup, and the surface area for a misconfiguration grows faster than most security teams plan their headcount for.
Cost Management & Optimization.
Nobody budgets for an idle EC2 instance running since March. But it happens constantly - overprovisioned resources, forgotten services, auto-scaling rules set once and never revisited. None of it is malicious. It's just nobody's job to watch.
Lack of Cloud Expertise.
Every company wants someone who can architect, deploy, and manage a cloud environment end to end. Fewer companies have actually budgeted for what that person costs, or realized how thin the talent pool actually is once you filter for real production experience.
Migration Complexity.
The pitch is always "lift and shift." The reality is usually downtime nobody scoped for, application rewrites that weren't in the original quote, and data transfer issues that only surface once you're already mid-migration and can't easily turn back.
Vendor Lock-In.
Convenient today, expensive tomorrow. Build everything around one provider's proprietary services and you've quietly handed that vendor your negotiating leverage the day pricing changes - and it will change.
Security-First Architecture.
Encryption standards, access layers, and compliance mapping - GDPR, HIPAA, SOC 2 - get decided during architecture design, not added in afterward because an auditor flagged something. Retrofitted security is always more expensive than designed-in security.
Cloud Cost Governance & Monitoring.
We tie spend to actual usage with automated tracking and right-sizing, instead of letting the monthly bill drift upward quietly until finance asks questions nobody can answer.
Skilled Cloud Engineering Teams.
Certified engineers with real AWS, Azure, and GCP production hours - not certificates earned in a weekend bootcamp - fill the gap most internal teams genuinely don't have time to build themselves.
Structured Migration Roadmaps.
Assessment first. Phased plan second. Testing and validation before go-live, not after. It's a less exciting pitch than "we'll have you migrated in two weeks," but it's the version that doesn't end in a postmortem.
Multi-Cloud & Containerized Solutions.
Containers, Kubernetes, and API-first design keep your architecture portable. If a provider's pricing or terms shift in a direction you don't like, you actually have somewhere else to go.
Risk Identification.
We start by mapping your infrastructure, data flow, and every third-party dependency that touches it - because the risk you don't know about is the one that actually gets you.
Risk Assessment.
Not every risk deserves the same response. We rank by likelihood and business impact first, so the team's time goes toward what'll actually hurt, not what's just theoretically possible.
Risk Mitigation Planning.
Encryption, access policies, network segmentation, automated monitoring - designed before deployment. Reactive controls bolted on after an incident cost more and protect less.
Implementation of Controls.
IAM, firewalls, backup strategy, compliance configuration. Applied consistently across the environment. Half-implemented security is, functionally, no security.
Continuous Monitoring & Auditing.
Real-time monitoring catches what a quarterly audit misses by three months. We run both, because relying on either one alone leaves a blind spot.
Review & Improvement.
Threats shift. Compliance requirements get rewritten. A risk plan that doesn't evolve with them isn't a risk plan - it's a risk plan that hasn't been tested yet.
Step 1: Cloud Readiness Assessment.
Before recommending anything, we find out where you actually stand - infrastructure, applications, security posture, business goals. Assumed maturity and actual maturity are rarely the same thing.
Step 2: Strategy & Planning.
Deployment model, service model, provider - chosen against your constraints, not against what's easiest for us to deliver on a tight timeline.
Step 3: Architecture Design.
Built for your specific workloads and compliance load, not pulled from a template that happened to work for the last client.
Step 4: Cloud Migration & Deployment.
Lift-and-shift, replatform, or refactor - whichever the workload actually calls for. Minimal disruption isn't negotiable, and neither is data integrity.
Step 5: Optimization & Cost Management.
Once it's live, We tune for performance and spend using automation and not a spreadsheet someone updates manually every month until they stop.
Step 6: Security & Compliance Integration.
IAM, encryption, audit controls - mapped to whatever standard your industry actually enforces, not a generic checklist that technically applies to nobody.
Step 7: Ongoing Monitoring & Support.
Patching, performance monitoring, 24/7 support. Infrastructure left alone after launch degrades. That's not a risk - it's a guarantee.
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
Honestly? It depends - there's no flat number that's true for every business, and anyone who gives you one without asking about your scope first is guessing. Most engagements land somewhere between $10,000 and $80,000+ a year depending on complexity, which roughly maps to the tiers above. Send us your actual requirements and we'll give you a real estimate, not a placeholder.
IaaS, PaaS, SaaS, FaaS, DBaaS, CaaS - we build across all of them. We'll tell you which one actually fits your workload, even if that's not the one with the best margin for us. Most enterprise clients end up running a mix, not a single model, because real systems rarely fit neatly into one category.
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.
