Service 06
Cloud, Integration & Production Engineering
Run data, AI and software systems reliably, securely and observably in production.
The client challenge
Promising systems stall between prototype and production, or become hard to operate, secure and change.
What DataLivia does
We design cloud architecture across relevant platforms, selected according to the client’s environment and requirements, and engineer systems for production.
Typical capabilities
- 01Cloud architecture on the platform that fits the client’s environment (for example Azure, AWS or Google Cloud)
- 02Containers
- 03CI/CD
- 04Infrastructure as code
- 05Identity and access management
- 06MLOps and LLMOps
- 07Observability
- 08Security
- 09Production readiness
Possible applications
- Production deployment of an AI or data system
- Automated delivery pipelines and environments
- Monitoring and operating models in production
Relevant contexts
Settings where this capability may apply — not a list of past clients.
- Healthcare & life sciences
- Research organisations
- Public sector
- Industry & services
Delivery considerations
Platform choices follow the client’s existing environment. We prioritise security boundaries, observability and operability.
Start with one meaningful problem.
Whether you are exploring an AI opportunity, modernising your data foundation, automating a workflow or building a digital product, start with the problem worth solving.
Start a conversation