Clarify the operating goal
Separate the commercial outcome from the technical request so the engineering serves the business decision.
Goal statement agreed with the sponsor
Cloud & Data Centers
Public Cloud Engineering
AWS, Azure and Google Cloud architecture, migration and cost control.
Problems we are called for
- Spend growing faster than usage
- Architecture that cannot pass a review
- Manual environments nobody can reproduce
Scope of work
- Landing zones
- Migration
- Cost engineering
- Infrastructure as code
How the engagement runs
- Assessment
- Architecture
- Migration
- Optimisation
What you receive
- Infrastructure as code
- Architecture documentation
- Cost baseline
Operating position
How we think about public cloud engineering
Public Cloud Engineering rewards teams that can prove behaviour, not teams that can demonstrate it once. We build the evidence path — measurement, acceptance criteria, operational ownership — into the engagement so results survive the handover.
Most Public Cloud Engineering work fails long before delivery: the problem is described as a tool choice rather than a system constraint. We start from the decision the organisation must be able to make, then work backwards through the data, interfaces and failure modes that decision depends on.
Engagement stance
Deliverables are written for the people who inherit them: operators, auditors and future engineers, not only the sponsor who signed the brief.
Signals
When clients bring us in
A promising pilot has no route to production because the operating model is missing.
Cost grows faster than usage and no one can attribute it to a design choice.
Manual effort is absorbing specialists who should be solving harder problems.
Deadlines are set before the constraint that drives the schedule is understood.
If none of these describe public cloud engineering in your organisation, a short scoping call is usually a better use of time than a proposal.
Landscape
What we look at first in public cloud engineering
Before any recommendation, we build a shared picture of the ground. These are the six things we examine, in this order.
01
Decision surface
The handful of choices that actually move cost, risk and speed — and the evidence each one needs before it can be made.
02
System of record
Where the authoritative data lives, who writes to it, and what quietly depends on it that nobody documented.
03
Integration surface
Every interface the work must cross: internal services, vendors, hardware, batch files and the exceptions around them.
04
Operational reality
What the people running the system do on a bad day, and the workarounds that have become load-bearing.
05
Cost drivers
The three or four factors that determine run cost, and whether they scale with usage, data or headcount.
06
Failure behaviour
How the system degrades rather than how it performs when everything is working as intended.
Method
How the engagement runs
A typical public cloud engineering engagement moves through five stages. Each stage ends with something you can read, test or hand to someone else.
Inventory what exists
Catalogue systems, contracts, data and dependencies, including the ones nobody wants to open.
Dependency and obligation inventory
Remove before adding
Identify what can be retired, consolidated or simplified before new capability is introduced.
Subtraction plan with risk notes
Deliver in evidenced increments
Ship in increments that each carry acceptance evidence, so progress is verifiable at any point.
Increment acceptance records
Close with a decision gate
End at a documented go, adjust or stop decision rather than an open-ended retainer.
Decision record and next-step options
Questions
The questions this work answers
Most public cloud engineering engagements start because one of these has no confident answer.
01
Is the problem we have been handed the problem we actually need to solve?
02
What would we have to measure to know whether this is working?
03
Which part of this system would hurt most if it failed on a Friday night?
04
What are we paying for that no longer earns its place?
05
Can a new engineer understand this in a week, or only the person who built it?
06
If we stop here, is what we have still usable?
Capability
Where we can take public cloud engineering
Engagements usually begin at one of these layers and move outward only when there is a reason to.
- 01
Assessment
Independent reading of the current system with a stated method, so findings can be challenged on evidence rather than opinion.
- 02
Architecture
Interfaces, data contracts and boundaries designed so the next change is cheaper than the last one.
- 03
Build
Delivery in increments that each carry acceptance evidence and can be stopped without leaving the system worse.
- 04
Operation
Runbooks, alarms, ownership and a supervised period before we step back.
Outputs
What you receive
- A scoped delivery plan with named responsibilities
- Interface and data contracts written down
- Measured baselines and post-change comparison
- A closing decision gate: continue, adjust or stop
Engagement boundary
What public cloud engineering work covers
- Engineering, architecture and operating design
- Independent assessment with a stated method
- Delivery with acceptance evidence and handover
What it does not cover
- — Legal, tax or accounting advice
- — Certification, audit sign-off or regulatory approval
- — Claims about outcomes we have not measured
Formats
Ways to work with us
Any of these can carry public cloud engineering work. Pricing is quoted after scoping; there are no published rates.
45 minutes, no charge
Scoping call
We establish the decision you need to make and whether BELTO is the right party for it. If we are not, we say so and point you somewhere useful.
A written summary of what we heard
Two to four weeks
Assessment
A bounded, independent read of the current system with a stated method, ending in findings your team can challenge line by line.
Findings document and option set
Scoped per project
Delivery engagement
Design and build against agreed acceptance criteria, in increments, with evidence attached to each one.
Working system plus handover pack
Fixed term, renewable
Embedded capacity
Senior engineering alongside your team under your direction, with an explicit objective and an agreed end date.
Delivered work and documented practice
Reading
Related thinking and published work
Published positions, research and technical case studies that inform our public cloud engineering work.
Questions
Practical questions
- How quickly can public cloud engineering work start?
- Scoping calls are usually available within a week. Assessment work typically starts two to three weeks after a scope is agreed, depending on access and availability.
- What do you need from us to begin?
- A named owner for the decision, access to the systems and people involved, and agreement on what the engagement must produce. Everything else we can build from there.
- Do you publish rates?
- No. Work is quoted individually after scoping, because the same title can describe a two-week read or a six-month build.
- Can you work alongside our existing suppliers?
- Yes. We define interfaces and responsibilities in writing so accountability stays clear, and we do not take engagements that depend on displacing a supplier to succeed.
- What happens at the end?
- Every engagement closes at a documented decision gate: continue, adjust or stop. You receive the material, the reasoning and named ownership.
Next step
Discuss public cloud engineering
Engagements are scoped and quoted individually; there are no published rates. A first call establishes the decision you need to make, the constraint that governs it and whether BELTO is the right party for the work.
One-pager
Take this away as a PDF
Public Cloud Engineering — BELTO one-pager
A single printable page covering what we do here, how engagements run and what to send us to start. Useful for forwarding internally.
PDF · 348 KB