Cloud-Native Application Engineering
Modernize and build secure cloud-native APIs, microservices and operational application platforms.
Definition
Engineer reliable applications and APIs for the cloud era.
In brief: Cloud-native application engineering is the design of software for cloud platforms: packaged in containers, deployed by automated pipelines and able to scale with demand. OB360 covers architecture modernization, microservices and APIs, CI/CD, security and observability on Azure, AWS and Google Cloud.
Cloud-native delivery provides the foundation for maintainable AI systems and modern digital products. OB360 supports architecture modernization, microservices and API engineering, deployment automation and cloud operations. Solutions are designed according to workload characteristics, security requirements, cost awareness and the existing technology landscape - not a single prescribed cloud pattern.
Problems
Designed around your business
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Architecture before tools
We define the business workflow, constraints and right level of AI before choosing implementation patterns.
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Engineering accountability
Our work spans concept, integration, software delivery and handover.
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Controlled enterprise AI
We design with boundaries, permissions, human review and evaluation in mind.
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Specialist depth
Agents, graph intelligence, document AI, applied ML and cloud-native engineering can be combined when the problem requires them.
Who it is for
Where this service fits
- Enterprise leaders planning practical AI adoption.
- Software and product teams extending existing applications.
- Business and engineering teams connecting workflows, knowledge and systems.
Use cases
An illustrative business scenario
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A possible engagement
An enterprise is modernizing an API-led application and wants a scalable foundation for emerging AI capabilities, with automated deployment and operational visibility.
Related case studies
- AI-Powered Legal Billing Compliance Automation (delivered client engagement)
- Voice-Enabled Legal Billing Workflow (delivered client engagement)
Approach
From requirements to delivery
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Understand
Agree the business problem, users, existing systems and constraints.
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Design
Choose the architecture, data boundaries and appropriate human oversight.
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Engineer
Implement the agreed scope with testing and integration.
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Enable
Share implementation knowledge and agree operational next steps.
Technology
Typical scope
- Cloud architecture on Azure/AWS/GCP
- API modernization
- Containerization
- CI/CD
- Reliability
- Observability
- Security
Delivery
Delivery model
Engagement scope, team structure and delivery priorities are agreed around your business needs.
Specific deliverables and implementation boundaries depend on the agreed engagement.
What to expect from an engagement
Target architecture, services and APIs, CI/CD pipelines, security and observability foundations, and deployment/handover guidance.
Questions
Questions about this service
Does OB360 work with different cloud providers?
The company's engineering scope includes Azure, AWS and Google Cloud, with platform selection based on client constraints and workload needs.
Can this work connect to our existing software?
OB360 can integrate AI capabilities with existing applications, data and APIs, with access boundaries defined for the engagement.
How do we start?
Discuss your workflow and constraints with OB360 to agree the relevant discovery and engineering scope.
What does cloud-native mean?
Cloud-native software is designed for cloud platforms: packaged in containers, deployed by automated pipelines and able to scale with demand, with security and observability built in from the start.
Why does cloud-native engineering matter for AI?
AI systems depend on reliable APIs, automated deployment and operational visibility. A cloud-native foundation keeps AI components maintainable, secure and scalable as usage grows.
Next steps
Related services
Explore complementary consulting and engineering services for your initiative.
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Agentic AI Consulting & Strategy
From business use cases and readiness assessment to architecture, governance and execution roadmap.
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Custom AI Solution & Product Engineering
Build AI-powered business applications and intelligent product capabilities aligned to real requirements.
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Forward Deployed Engineering
Embed experienced AI architects and engineers within client delivery teams.
Discuss Cloud Engineering
Tell us about your business workflow, users and existing systems. We will discuss the architecture, engineering support and next steps that fit your needs.