Independent assessments, target-state designs and documented decisions that give your engineering teams a clear path before they build, migrate or scale.
A scalable and profitable cloud ecosystem starts with the right architectural decisions. Cloudesign delivers strategic Cloud Architecture Advisory Services that help modern enterprises reduce risk, modernise applications, and achieve peak operational efficiency on AWS Cloud Services with unparalleled confidence. Our experts build a secure, resilient, and cost-efficient cloud foundation to accelerate your digital transformation journey.
Certified Cloud Engineering Professionals
Fintech Modernisation Projects Completed
Case Study
Turning infrastructure into a competitive advantage with automated DevOps, hybrid cloud networking, and enterprise-grade security.
Architecting autonomous, sovereign, and high-velocity digital cores.
We establish a Cloud Center of Excellence (CCoE) to harmonize your cloud architecture consulting with corporate FinOps and ROI goals. We design the governance frameworks that allow your teams to innovate rapidly while maintaining 100% architectural integrity and cost control.
Turning complex infrastructure into a strategic asset for business growth.
At Cloudesign, we implement AI as a core architectural layer. We use the latest patterns to ensure your cloud doesn't just store data, but actively works to improve your business speed and reliability.
We design your cloud to deliver answers instantly. By using Real-time Inference patterns, we ensure your AI models (like chatbots or recommendation engines) respond in milliseconds. For larger tasks that don't need to be instant, we use Batch Processing to handle huge amounts of data efficiently at scheduled times, saving you money on computing costs.
We move beyond simple alerts to create an infrastructure that manages itself. Our AI-driven Predictive Loops monitor your system 24/7 to identify potential failures, such as memory leaks or server overloads, before they happen. The system then automatically triggers Infrastructure as Code (IaC) to restart services or reallocate resources, ensuring zero downtime without human intervention.
To keep your costs low and your speed high, we use Serverless and Container designs. This means your AI only uses computer power when it is actually working. When a customer uses your AI tool, the system "wakes up," does the job, and then goes back to sleep. You only pay for the exact seconds the AI is running, not for idle time.
Not all data needs to go to the main cloud. We use Edge-Cloud patterns to process time-sensitive data directly on your local devices. This prevents lag and keeps your business running even if the internet connection is slow. The "heavy lifting" is sent to the central cloud later, giving you the perfect balance of local speed and global power.
Building reliable, high-performance foundations for your business growth.
We bridge the talent gap by giving you direct access to the Top 3% of Cloud Experts in the industry. Whether you need a short-term consultant or a long-term lead, our experts integrate seamlessly into your team to provide high-level engineering and leadership without the delays of traditional hiring.
We make sure your business is safe from day one. By building security directly into your cloud setup, we help you meet data protection laws and industry standards. With a Zero-Trust approach, your data is protected by reliable, modern safety measures.
We treat your cloud budget with care. Most companies pay for more technology than they use; we fix that by aligning resources to real usage. Our clients typically see around a 30% reduction in monthly cloud costs, freeing up budget to reinvest into growth.
We prepare your business for the future of AI with AI-ready cloud foundations, giving you the performance and elasticity needed to run modern, intelligent applications without legacy bottlenecks.
We use automation to spin up and manage environments in minutes, not weeks. This lets you launch new products faster, ship updates more often, and stay ahead in a fast-moving market.
We don’t just provide technology; we provide a foundation that scales as you grow. Every architectural choice is designed to help you adapt quickly, launch new services safely, and keep operations efficient for long-term expansion.
Cloudesign's Strategic Implementation
We design multi-cloud and hybrid strategies that prevent vendor lock-in and optimise your geographical reach for lower latency. Our approach ensures cost-efficiency through automated resource tagging and real-time scaling policies. We also implement cross-cloud disaster recovery to guarantee near-zero downtime for your mission-critical applications.
Move beyond high-level design to seamless execution. Our staff augmentation services provide the architectural depth needed to build, deploy, and optimise your cloud-native infrastructure alongside our expert consulting services.
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Cloud advisory is a consulting service that helps organisations make informed decisions about cloud strategy, architecture, platforms, security, modernisation, governance, and costs. It typically includes assessing the current environment, defining a target-state architecture, identifying risks and opportunities, and creating a practical roadmap aligned with business and technical requirements.
The four commonly used cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Function as a Service (FaaS). IaaS provides infrastructure, PaaS supports application development, SaaS delivers ready-to-use software, and FaaS runs application functions without managing servers.
The three primary cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides computing infrastructure, PaaS provides managed platforms for building applications, and SaaS delivers complete software applications through the cloud without requiring users to manage the underlying infrastructure.
Cloud architecture can commonly be categorised into public cloud, private cloud, hybrid cloud, and multi-cloud architectures. Public cloud uses shared provider infrastructure, private cloud is dedicated to an organisation, hybrid cloud connects private and public environments, and multi-cloud uses services from multiple cloud providers for different workloads or requirements.
AI is changing how cloud engineers perform tasks, but it does not eliminate the need for cloud engineering expertise. AI can assist with infrastructure automation, monitoring, troubleshooting, documentation, and optimisation. Engineers remain responsible for architecture decisions, security, reliability, governance, system design, and validating automated recommendations against business requirements.
A cloud architecture consultant evaluates applications, infrastructure, data, integrations, security, performance, resilience, and operational requirements. They recommend suitable architecture patterns and cloud services, define target-state architecture, identify technical risks, and develop modernisation or migration roadmaps that engineering teams can use for implementation.
Cloud architecture advisory helps organisations evaluate and improve how applications, infrastructure, data, networks, security, and cloud services work together. Services may include architecture assessments, target-state design, technology selection, modernisation planning, resilience design, security architecture, and governance recommendations based on specific business and technical requirements.
A cloud architecture assessment reviews the current technology environment across infrastructure, applications, networking, data, integrations, security, performance, resilience, observability, and costs. The assessment identifies architectural risks, technical dependencies, inefficiencies, and modernisation opportunities, providing recommendations and priorities for developing a more suitable target-state cloud architecture.
Choosing between AWS, Microsoft Azure, and Google Cloud depends on workload requirements, existing technology investments, application dependencies, team expertise, compliance needs, regional availability, integration requirements, and total cost of ownership. A cloud architecture assessment helps organisations evaluate these factors before selecting a platform or defining a multi-cloud strategy.
Cloud architecture defines how applications, infrastructure, data, networking, security, integrations, and operations should be structured in a cloud environment. Cloud migration is the process of moving workloads from an existing environment into that architecture. Architecture advisory can therefore establish the technical direction before migration or modernisation begins.
Ready to discuss your next digital transformation project? Our experts are here to help you plan, design, and engineer solutions built for scale and performance.
Share your idea, and our team will schedule a discovery call to understand your goals and challenges.
Receive a tailored technology roadmap outlining architecture, tools, and timelines to bring your vision to life.
Once aligned, our engineers integrate seamlessly with your team to execute and accelerate delivery.
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Cloudesign Technology Service Pvt Ltd is an enterprise software and AI consulting firm founded in 2015 in Bengaluru, with offices in Bengaluru and Mumbai.
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