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Cloud & DevOps
Cloud architecture, migration and delivery engineering on AWS and Azure — with cost as a design constraint, not a surprise.

Cloud value comes from architecture and operating practice, not from the migration itself. A workload moved unchanged onto managed infrastructure usually costs more than it did before and behaves no better.
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We design the target state first — what should be managed, what should be elastic, what should be containerised, what should be left alone — then migrate towards it in stages, with cost modelled before commitment.
Delivery engineering is part of the same job. Pipelines, environments, infrastructure as code, observability and security controls are what make a cloud platform usable rather than merely rented.
What you get
- A target architecture with a costed path to it
- Deployments that are routine rather than events
- Visible, attributable cloud spend
What's included
Cloud strategy and architecture
Cloud migration
Cloud-native development
Kubernetes and containers
CI/CD and DevSecOps
Cost optimisation
Where this applies
- A cloud bill growing faster than the workload
- Deployments that require a change window and a held breath
- On-premises infrastructure reaching end of life
- Security controls applied after the fact rather than in the pipeline
Technologies
- AWS
- Microsoft Azure
- Kubernetes
- Docker
- Google Cloud
- Python
Engagement models
- Cloud assessment. Two to three weeks. Current state, target architecture, migration sequence, cost model.
- Landing zone build. Foundational accounts, networking, identity, security baseline and IaC.
- Migration programme. Wave-based migration with validation and rollback at each wave.
- Platform engineering. Ongoing platform and pipeline ownership, or enablement of your team.
Ready to talk about Cloud & DevOps?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853
