Software and cloud engineering
Azure architecture and reliability
Design cloud systems around availability, scaling, isolation, observability, recovery, and controlled operating cost.
Primary buyer: CTOs, platform leaders, and product engineering teamsThe real constraint
The hard part is often the complete system: product behavior, integration, reliability, performance, deployment, and handover.
How we approach it
We own architecture through usable interface, production infrastructure, observability, validation, and transfer.
How we prove it
Quality attributes and acceptance paths are automated against realistic load, failure, integration, and recovery cases.
Production system
Software and cloud engineering
Custom applications, SaaS products, mobile and desktop tools, distributed backends, integrations, and Azure systems engineered as complete software.
- 01Product and architecture definition
- 02Frontend, mobile, or desktop interface
- 03Backend services and integrations
- 04Azure infrastructure and delivery automation
- 05Testing, observability, recovery, and handover
Typical fit
A cloud architecture that can be operated, tested, and evolved under real load
FAQ
Questions before a pilot
These answers describe how we normally work. Only a signed agreement creates commitments. Website enquiry terms
01Can you take over a codebase someone else wrote?
We will not promise to rescue a system before we have read it. What we will do is a paid assessment: we read the code, run it, and report what we found. Sometimes we can build on what is there. Sometimes part of it, or all of it, needs reworking first. That call is made on which route gets you working software more cheaply, not on what we would prefer to write.
02Do you work fixed price or time and materials?
Discovery is fixed scope and fixed price because it is small and well defined. Production depends on what discovery found: work with known boundaries can be fixed price, work with genuine unknowns is staged so you decide at each gate. We would rather stage it than pad a fixed price to cover risk you end up paying for anyway.
03How soon could you start?
Often within a week or two for a discovery phase, subject to what we already have committed. The fit call will give you a straight answer. If we cannot take it on a timeline that works for you, we will say so on the call rather than after a proposal.
Service focus
Cloud you can operate, not just deploy
Most Azure trouble is not exotic. It is a system nobody can observe, a deploy nobody can reverse, and a bill nobody can explain. We design for the load you actually have, make failure and recovery explicit, and leave you able to see what the system is doing.
- Built for
- CTOs, platform leaders, and product engineering teams
- Designed to achieve
- A cloud architecture that can be operated, tested, and evolved under real load
What you get
- Architecture sized for your real traffic and availability target
- Infrastructure as code with reviewable changes
- Observability, alerting, and a tested rollback path
- Cost breakdown and the controls to keep it there
Need a different system?
Not quite your solution?
Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.
Your version will have different constraints.
Bring the workflow, current system, available evidence, and the assumption you trust least. We will identify the smallest useful next step.
Discuss this system