Cloud Services
Build a cloud environment that supports the way your organization operates. Working with our cloud partners AWS, Google Cloud, and Microsoft Azure, ANT Frameworks connects platform architecture with application delivery, device integration, data services, and operational ownership. Each engagement starts with workload requirements and business constraints, followed by a plan for migration, validation, and continued operation.
Talk to Our TeamCapabilities inside this offering
AWS cloud engineering
Plan and implement AWS environments for applications, data, and connected systems. Scope account organization, identity, networking, compute, storage, and observability around the workload, with deployment and recovery responsibilities defined from the outset.
Google Cloud engineering
Develop Google Cloud environments for application, data, and AI workloads. Establish project organization, access policies, connectivity, deployment practices, and operational visibility before expanding the platform footprint.
Microsoft Azure engineering
Design Azure environments that connect applications, data, and enterprise systems. Review subscription structure, identity, network boundaries, and operational requirements so cloud resources fit the wider organization.
Migration and platform modernization
Assess dependencies and sequence changes into reviewable stages. Define data movement, validation, rollback, and cutover responsibilities, while identifying applications that can move directly and those requiring engineering changes.
Connected-device and application integration
Create defined interfaces between device gateways, application services, and data platforms. Address identity, message handling, connectivity interruptions, and ownership of errors across system boundaries.
Reliability, security, and cost operations
Agree monitoring, access reviews, backup and recovery expectations, and cost reporting. Track usage and operational findings after release, using that evidence to prioritize changes instead of treating deployment as the end of the engagement.
How we run this engagement
Assess workloads
Map applications, data, integrations, access requirements, and business constraints. Agree which outcomes the cloud change needs to deliver.
Establish foundations
Implement the agreed identity, networking, environment structure, and deployment controls. Make ownership and operational access explicit.
Migrate and validate
Move or build workloads in stages with acceptance checks and rollback plans. Verify integrations and operational visibility before cutover.
Operate and improve
Review reliability, security findings, and spending against the agreed objectives. Maintain deployment and recovery documentation as the environment evolves.
What we work with
This offering fits best when...
- Organizations adopting AWS, Google Cloud, or Microsoft Azure
- Teams migrating existing applications or integrating connected devices with the cloud
- Enterprises seeking consistent operations across cloud and existing infrastructure
Pairs well with
Wireless & Secure Systems
Connected-device architecture, wireless integration, device identity, protected communication, and security operations integration.
CRM: Salesforce & Pega
Salesforce and Pega implementation, customer workflows, case management, integration, data migration, and platform support.
Cloud & Infrastructure Transformation
Helping companies migrate their legacy data systems to massive public clouds like AWS and Google Cloud.
AI & Agentic Systems Integration
Building custom Generative AI tools and autonomous AI agents to automate corporate workflows.
Common questions
Which cloud platforms do you work with?
Our cloud services cover AWS, Google Cloud, and Microsoft Azure. Platform selection and scope are based on existing investments, workload needs, integration requirements, and operating constraints.
Do we need to use multiple cloud providers?
No. A single-provider environment may meet the requirements. Where multiple providers are needed, the design explicitly addresses the additional integration, identity, networking, and operational responsibilities.
Can you connect embedded devices to cloud services?
Yes. Device-to-cloud work is coordinated with our hardware, firmware, and wireless practices, including identity, message interfaces, offline behavior, and operational diagnostics.
Do you provide support after migration?
Ongoing operations can be included in the engagement. Monitoring, incident responsibilities, access reviews, recovery expectations, and cost reporting are agreed as part of that scope.
What working with us actually looks like
Hardware-Software Co-Design
Embedded controllers, industrial gateways, and on-device machine-vision units alongside AI, cloud, digital product engineering, and cybersecurity operations.
Security by default
Secure-by-design practices and risk management run through our delivery process from day one, not as a final audit.
India-based, globally engaged
Two India delivery centers with round-the-clock operational coverage for clients across time zones.
Lifecycle engineering responsibility
Approximately eleven thousand hardware units are presently in service, and we retain lifecycle engineering responsibility for the majority of them.
Ready to build what's next?
Let's discuss how ANT Frameworks Private Limited can support your Hardware-Software Co-Design and technology engineering needs - from embedded systems to AI, cloud, digital products, and cybersecurity.
hello@antframeworks.com