--- title: "Cloud architecture | Quantlix" description: "Quantlix designs cloud infrastructure around workload requirements, security boundaries, operational visibility and cost, with an explicit path for deployment and recovery." canonical: "https://quantlix.com/en/services/cloud-architecture/" last-updated: 2026-10-09 --- Source: https://quantlix.com/en/services/cloud-architecture/ Language: en Description: Quantlix designs cloud infrastructure around workload requirements, security boundaries, operational visibility and cost, with an explicit path for deployment and recovery. # Cloud architecture Quantlix designs cloud infrastructure around workload requirements, security boundaries, operational visibility and cost, with an explicit path for deployment and recovery. [Discuss your project](https://quantlix.com/en/contact/) [Explore the service](https://quantlix.com/en/services/cloud-architecture/#service-scope) ![Hand pointing toward an illustrated cloud](https://quantlix.com/_astro/cloud-architecture.BQZE7BnH_SD3No.webp) Illustrative image. ## A clear purpose. A practical approach. ### Where this service fits Cloud architecture establishes how an application is deployed, accessed, monitored, and recovered. Quantlix scopes infrastructure around workload, data location, operating costs, and the team responsible for daily care. Compare managed services, existing infrastructure, and hybrid arrangements before selecting a target architecture. ### Workflow and acceptance criteria Illustrative workflow: an operational portal moves to new infrastructure while integrations remain available. Inventory dependencies, credentials, data transfer, and release windows. Define recovery objectives with the business and demonstrate restore and rollback in a suitable environment. Evaluate workload peaks and ongoing cost drivers. A cloud migration does not automatically reduce cost; architecture, usage, and operating responsibility determine the result. ### What to bring to discovery Cloud architecture involves choices your team will operate every day. Quantlix records the tradeoffs behind platform, network and deployment decisions. Bring workload information, current costs and recovery expectations. Prefer a representative migration pilot before committing to a broader rollout. ## Where we can help A focused scope, shaped around your priorities. ### Architecture and hosting Compare deployment options against workload and data requirements. ### Infrastructure foundations Define networks, identity, configuration and reproducible environments. ### Reliability and cost Plan monitoring, recovery and resource allocation for expected demand. ## Infrastructure with clear operating boundaries Connect application workloads to controlled infrastructure and observable operations. - Workloads - Cloud foundation - Deployment - Operations ## What the work puts in your hands Agree on useful, reviewable deliverables before the work begins. - Target architecture - Infrastructure specification - Recovery plan - Cost assumptions ### Reference points These resources inform the conversation. Applicable requirements are agreed for your project. - [CNCF Cloud Native Definition](https://github.com/cncf/toc/blob/main/DEFINITION.md) - [NIST Secure Software Development Framework](https://csrc.nist.gov/pubs/sp/800/218/final) ## Good work starts with a shared understanding. Very small PODs bring together an expert in the specific domain and engineers selected for relevant prior industry experience. The team connects operational context with software decisions. Responsibilities, collaboration and support are agreed for each engagement. Each engagement starts with an agreed scope and a project-specific quote. [How we scope and price projects](https://quantlix.com/en/pricing/) ### Practical guides for the next decision - [How to choose an industrial AI partner](https://quantlix.com/en/blog/choose-industrial-ai-partner/) - [RAG, fine-tuning, or workflow automation?](https://quantlix.com/en/blog/rag-fine-tuning-workflow-automation/) - [A readiness checklist for long-running AI agents](https://quantlix.com/en/blog/long-running-ai-agent-readiness/) ### Start with the real problem Discuss the people, business goals and constraints behind the request. Agree on the scope and what a useful outcome looks like. ### Make the direction tangible Use working sessions, research and early drafts to explore the options. Review the tradeoffs with your team before committing to a direction. ### Work in reviewable increments Bring the agreed work into focus through regular reviews. Document the decisions, hand over the deliverables and plan any ongoing support. ## Questions, answered The practical details to consider before starting. **Which cloud provider should we choose?** Evaluate existing commitments, service requirements, data location and operational skills before choosing a provider. **Do we need multiple clouds?** Use multiple providers only when a concrete requirement justifies the additional integration and operating complexity. **How is recovery planned?** Agree recovery objectives, backup responsibilities and restore procedures, then rehearse relevant failure scenarios. ## Connect the right services Explore the work that can support the next part of your project. [View all services](https://quantlix.com/en/services/) ![Illustrated software development and operations loop](https://quantlix.com/_astro/dev-ops.CQLsYa6W_Z1nScuw.webp) ### [DevOps engineering](https://quantlix.com/en/services/devops-engineering/) Quantlix develops delivery pipelines, infrastructure automation and observability so teams can release software through repeatable, reviewable operational processes. ![Diagram with the label Microservices Architecture](https://quantlix.com/_astro/microservices.Bir4FEV4_ZbK9Iw.webp) ### [Microservices architecture](https://quantlix.com/en/services/microservices-architecture/) Quantlix designs service boundaries and integrations for applications that need independent deployment or scaling, with clear data ownership and operational contracts. ![Circuit traces forming a human head on a blue background](https://quantlix.com/_astro/artificial-intelligence.z-Hurd7C_Z2l7A16.webp) ### [Artificial intelligence](https://quantlix.com/en/services/artificial-intelligence/) Industrial AI for inspection, maintenance and operational decision support. Quantlix scopes data, integration, evaluation and human review around one workflow. ## Let’s talk about what needs to change. Bring your challenge, your questions and your starting point. We’ll work out the next step together. [Discuss your project](https://quantlix.com/en/contact/)