Azure architecture
Define and implement azure architecture within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Microsoft Azure Development brings applications and platform services designed for an agreed Microsoft Azure environment into a coherent technical and operational approach. Juan Infotech starts with the real workflow and shapes the experience, information, controls and supporting technology around the result the organisation needs.
This service is designed for teams building or modernising cloud workloads. Scope is prioritised around the most important journeys, existing systems, information boundaries and responsibilities required to achieve secure and supportable Azure-based delivery.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Define and implement azure architecture within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement identity and secrets within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement application and data services within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement monitoring and recovery within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Each phase produces something reviewable before the next commitment is made.
Review workloads, dependencies, security boundaries and service expectations.
Choose a suitable cloud pattern and make cost, resilience and ownership decisions visible.
Configure, automate and validate the agreed environments and release workflow.
Monitor health, protect recovery paths and improve the supported platform over time.
Yes. Discovery reviews the current systems and identifies what should be retained, connected, improved or replaced before implementation is proposed.
Yes. Work can be organised into complete, reviewable outcomes so value, risk and learning remain visible throughout delivery.
Technology choices are based on the workflow, existing environment, security and support needs rather than a predetermined stack.