Systems Engineering & Infrastructure
We design and review the servers, storage and networks your applications need. Compare cloud and private infrastructure against capacity, recovery needs, operating cost and the team available to manage it.
Servers · Storage · Networks · Recovery · Monitoring · Support responsibilities
Illustrative systems architecture
One platform model.
Three ways to test the design.
Scroll across to inspect placement and recovery paths.
Shared identity · data paths · connectivity
Choose a location based on data requirements, capacity and who will run the service.
Where it runs / decision lens
Compare data location, network connections and capacity with the skills and time your team has to run the service.
Which applications, data and connections are affected when the service moves?
Location choices · connected systems · capacity estimatesWhen the workload requires accelerated compute: Private AI & High-Performance InfrastructureQualified capability within Systems Engineering.
Illustrative reference architecture. Failure inspection is a design scenario, not live infrastructure telemetry.
When to involve us
Growth, consolidation or limited capacity means deciding what to keep, move or replace, in cloud or on your own infrastructure.
A proposed design, supplier quote, or renewal needs to be tested against workload demand, failure modes, and operating cost.
Agree performance and recovery tests, monitoring and operating instructions before your team takes responsibility.
Selected engagements
Start with a new design, a review of a supplier proposal, or a check of an existing platform. The proposal states what you receive, what it costs, what is excluded and how the result will be tested.
Which workloads belong where, and what must connect them?
A recommended location for each application, a map of connected systems, the proposed design and cost assumptions.
Discuss this projectWill the proposed design meet demand and tolerate failure?
Capacity, topology, bottleneck, and resilience findings with procurement requirements.
Discuss this projectCan critical services recover within agreed business limits?
Recovery dependencies, test criteria, gaps, and a sequenced improvement plan.
Discuss this projectWhat proves the new platform is ready for its operators?
A staged change plan, monitoring requirements, completion tests and handover instructions.
Discuss this projectDoes the workload justify a dedicated platform and its operating cost?
A feasibility decision covering data, capacity, security, cost, and operational ownership.
Discuss this projectWhat your organization retains
Target design, dependency map, capacity assumptions, and the reasons behind material choices.
Procurement requirements, supplier responsibilities, cost assumptions, and acceptance obligations.
Agreed performance and recovery tests, recorded results, exceptions, and approval responsibilities.
Monitoring requirements, runbooks, support boundaries, and named operational owners.
Within this practice
For a defined AI use case, compare a dedicated platform with hosted alternatives. We assess data needs, computing capacity, cost and who would run it before recommending further investment.
Explore private AI feasibilityTell us what your applications need, the purchase or deadline ahead, and who will manage the system. We identify the design or review needed before you commit.
Your team names a sponsor to approve the work and a technical owner to coordinate it. AZ Innovations defines the design, connected-system requirements, tests and delivery coordination included in the scope. Licensed engineering and specialist trade work is performed by qualified delivery partners where required.
