Application hosting
Select a suitable managed or container runtime.
aiqorxBackend & data / Amazon Web Services (AWS)
AWS offers a broad set of services for application compute, storage, networking, and managed data.
Talk through your project
A connected engineering approach
People, tasks, accessibility
Components, logic, integrations
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Select a suitable managed or container runtime.
Build around durability and access requirements.
Connect workloads through asynchronous services.
02 / Architecture
Define identity boundaries, network exposure, observability, and cost ownership. Use infrastructure definitions and recovery procedures.
Service breadth can create unnecessary complexity. Start with a maintainable operating model.
03 / Delivery & care
Test authorization, schema changes, concurrency, timeouts, and recovery. Inspect operational logs and rehearse restoring data and rolling back a release.
Review the users, existing systems, constraints, and definition of success.
Document the architecture, interfaces, risks, and delivery scope.
Review working increments against real use cases and failure conditions.
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Service breadth can create unnecessary complexity. Start with a maintainable operating model.
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's build