Choose a stack that fits the product and the team operating it
Technology choices should support the product’s users, risk, integration landscape, expected change and operating capability. Juan Infotech evaluates fit before recommending a framework, cloud service or architecture pattern.
A focused response to the risk in front of you
The final scope is shaped around the current environment. These workstreams show the questions and evidence normally required.
Application engineering
.NET and suitable JavaScript technologies for maintainable web, service and business applications.
Product experiences
Responsive web and mobile interfaces designed around supported devices, accessibility and real workflows.
Cloud and delivery
Azure, AWS or suitable hosting patterns with environments, deployment, observability and recovery in scope.
Data, API and AI
Databases, integrations, retrieval and model services selected around information ownership, performance and control.
Leave with evidence the next team can use
Deliverables are adapted to the agreed questions, available access and level of confidence. Limitations and unresolved dependencies remain visible.
Compare engagement models-
01
Technology decision record
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02
Application and integration context diagram
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03
Non-functional requirement baseline
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04
Build, deployment and environment approach
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05
Observability and support considerations
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06
Architecture risks and planned validation
Each stage produces something to review
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01
Requirements
Clarify scale, availability, security, latency, devices and change expectations.
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02
Context
Map existing skills, systems, contracts and operational responsibilities.
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03
Options
Compare realistic technologies and architecture patterns.
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04
Validate
Use prototypes or focused tests where a material uncertainty remains.
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05
Record
Document the decision, trade-offs and conditions that could change it.
Useful answers before you begin
No. Existing platforms, client capability, product needs and long-term support all affect the recommendation.
Yes, after its interfaces, constraints, standards and ownership boundaries are understood.
Where independent scaling, ownership or release boundaries justify them. A modular application may be a better choice when distributed complexity adds little value.
The design can separate business capabilities, contracts and data ownership, but every platform choice has trade-offs that should be recorded honestly.