Service · Cloud
A cloud you own and understand, with a bill you can read.
We architect, build, and harden the cloud your business runs on across AWS, Azure, and GCP. You get a well-architected foundation, defined in code and secured to your standards, and you own it outright. Bring us a new platform, a migration, or a bill that's gotten out of hand.
A foundation, defined in code
The real problem
Why a cloud project so often ends in a bigger bill and a shakier system.
Because "moving to the cloud" gets treated as a destination when it's really an engineering discipline. Workloads land on bigger instances than they need. Networking and identity get wired by hand and never reviewed. Nothing is defined as code, so the environment can't be rebuilt, audited, or reasoned about later.
The invoice climbs while reliability stays flat. Companies that engineer the cloud well are the ones it rewards. McKinsey puts the prize at $1T+ in run-rate EBITDA across the Fortune 500 by 2030, and it goes to the teams that build it right. That gap is the engineering work itself: architecture, infrastructure-as-code, security, and cost discipline.
In run-rate EBITDA the cloud could add across the Fortune 500 by 2030 — for those who engineer it aggressively and build it right.
Of cloud spend is self-reported as wasted — and 84% call managing it their single biggest challenge.
Where it does the work
Where cloud engineering does the real work — and what each delivers.
This isn't one deliverable. It's a set of concrete builds, each one fixing a specific way cloud projects tend to go wrong.
Cloud architecture & well-architected design
Compute, data, networking, identity, and failure boundaries designed around your real trade-offs. It scales under load and holds up over time.
A checkout spread across zones with failover degrades gracefully at peak instead of going down.
Infrastructure as code (IaC)
Every resource lives in version-controlled code, so an environment is built and rebuilt straight from the repository rather than clicked together in a console. You can repeat it, review it, and recover it.
A staging environment that once took days to hand-configure now stands up in minutes, and misconfigurations get caught in code review long before they become an outage.
Cloud migration & modernization
Workloads moved off aging infrastructure (rehost, re-platform, or re-architect), sequenced so nothing critical goes dark during the cutover. The result is a platform you can actually build on.
A strained legacy database moves to a managed, auto-scaling service, so the 2 a.m. pager and the hand-patching stop.
Security & compliance engineering
Identity, segmentation, encryption, secrets, and audit logging go in from the first commit, along with the controls a regulated workload has to prove. Security is part of the design, long before an auditor asks for it.
Every resource gets least-privilege access and encryption through the same IaC, so a reviewer can read the actual policy in code rather than take it on trust.
Cost engineering & FinOps
Right-sized resources, commitment and autoscaling strategies, and spend broken out per team and service. The bill maps to value and stays forecastable.
An over-provisioned cluster gets right-sized to scale with demand, so off-peak hours stop billing you for idle capacity.
Managed cloud & reliability operations
The foundation kept healthy after launch: observability, scaling, patching, backup, and incident response. You hear about problems as alerts, before your customers do.
A traffic surge triggers an automatic scale-out and a heads-up alert, instead of a degraded site and a late-night phone call.
Engineered it pays — un-engineered it leaks. 84% can't get cloud spend under control and ~27% is wasted. We build cost visibility and a well-architected review into the work itself, from day one.
As of June 2026 · revisit quarterly
What cloud engineering does to those processes — the measured impact.
Independent, named industry findings, cited as third-party evidence rather than Silicon Prime's own client results.
Lower infrastructure cost moving on-prem workloads to the cloud when paired with modern, right-sized services rather than a like-for-like lift.
Say managing cloud spend is their biggest challenge — self-reporting ~27% of spend as wasted. The case for cost engineering in the build.
Benefits-to-investment over five years on studied AWS deployments, breakeven in ~10 months — the order of magnitude a well-engineered migration returns.
What's included
What our cloud engineering services cover.
The architect-and-build layer: the cloud foundation your applications run on, and what makes the difference between a cloud you own and one you're only renting.
Architecture & well-architected review
Compute, data, networking, identity, and failure boundaries designed and pressure-tested before a line is built.
Infrastructure as code & automation
Every resource codified in version-controlled IaC, so environments are built and rebuilt from a repository instead of by hand.
Migration & application modernization
Migration planned per workload — rehost, re-platform, re-architect — on a 12-year record of modernizing live systems without downtime.
Security, compliance & identity
Identity, segmentation, encryption, secrets, and audit logging from the first commit — plus the controls fintech and healthcare must prove.
Cost engineering & FinOps
We right-size resources, apply autoscaling, and make spend visible per team and service — so the bill maps to value.
Managed cloud, observability & enablement
We instrument for health, scaling, and cost, set up backup and incident response, and train your team to own it.
What you get — all assigned to you under full work-for-hire IP
How it runs
How a cloud engineering engagement runs.
The same delivery model behind all our engineering work, tuned for cloud — one accountable lead, fixed scope, no handoffs.
STEP 01
Assess
Map your footprint, workloads, constraints, and the reliability and cost targets you're held to.
Output: a target architecture & the metrics
STEP 02
Architect
Design the foundation across compute, data, network, identity, and cost; validate it with a structured review.
Output: an architecture, an IaC plan & a migration sequence
STEP 03
Build
Provision everything as IaC in your own account, security and observability wired in, and migrate on a safe cutover plan.
Output: a running, codified environment behind your controls
STEP 04
Operate & enable
Run it in production with monitoring, scaling, and incident response, and train your team to own it.
Output: a reliable foundation & a team that operates it
Proof
The cloud foundation under a $120M+ marketplace.
We won't claim a case study we don't have — so here is the engagement that maps most directly to cloud engineering, told through that lens.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering. We'll tell you plainly when a workload doesn't belong in the cloud, or doesn't need the architecture a vendor would sell you.
Marketplace · acquired 2017
YardClub — a contractor-to-contractor equipment marketplace we built end to end and scaled on cloud infrastructure. $120M+ in payments processed, acquired by Caterpillar in 2017.
The compute, data, network, and identity foundation that let money move correctly and stay available as volume grew.
Why build your cloud with us.
Cloud-neutral by design. We engineer on AWS, Azure, or GCP and pick the platform based on your workload, never on a reseller margin or a partner quota. Every architecture decision answers to your requirements first.
Everything as code, everything yours. The Terraform modules, architecture decisions, and runbooks are all version-controlled and assigned to you under full work-for-hire IP. There's no black-box environment that only the agency can touch.
Built to hand over to your team. We train your team to operate, rebuild, and extend the platform once we step back. You own the capability, and keeping us on afterward is entirely your call.
Founder-led, one accountable lead. No account managers and no handoffs. The person who scopes the architecture is the same one who answers for it in production.
Production discipline, proven over years. A multi-year record of keeping software dependable in production, plus the honesty to right-size a build when over-architecting it would just cost you more.
Where it earns its keep
Where well-architected cloud earns its keep first.
Fintech
Payments, real-time decisioning, and transaction systems where availability, encryption, and a full audit trail aren't optional, and we've proved it at marketplace scale.
Fintech software →Healthcare
Clinical and operational workloads in HIPAA-compliant architectures, with identity, encryption, and audit logging designed in from the first commit.
Healthcare software →Ecommerce & retail
Storefronts and order systems that absorb peak traffic and scale to demand, with cost engineered so off-peak doesn't bill for idle capacity.
Ecommerce software →Sports & SaaS platforms
Long-lived products that modernize and re-platform without ever going offline — the way we've carried a live platform since 2012.
SaaS development →Questions buyers ask before they hire.
Thirty minutes · no pitch deck
Ready for a cloud you own and understand?
Bring the migration, the architecture problem, or the runaway cloud bill — and we'll tell you honestly what it takes to engineer it right, on which cloud, and what it costs to run.