Service · Cloud

A cloud you own and understand — not a bill you can't explain.

We architect, build, and harden the cloud your business runs on — AWS, Azure, or GCP. A well-architected foundation, defined in code, secured to your bar, handed to you to own. New platform, migration, or a runaway bill.

Built as code, owned by you One accountable lead Steady state in 4–8 weeks Full IP transfer

A foundation, defined in code

YOUR APPS
YOUR ACCOUNT
WELL-ARCHITECTED · AS CODE
FOUNDATION
COMPUTE NETWORK IDENTITY COST

The real problem

Why cloud projects deliver a bigger bill — not a better system.

Because "moving to the cloud" gets treated as a destination instead of an engineering discipline. Workloads get lifted onto bigger instances than they need, networking and identity are wired by hand and never reviewed, nothing is defined as code — so the environment can't be rebuilt, audited, or reasoned about.

The invoice climbs while reliability doesn't. The cloud rewards companies that engineer it well — McKinsey puts the prize at $1T+ in run-rate EBITDA across the Fortune 500 by 2030 — but only for those who build it right. That gap is the engineering: architecture, infrastructure-as-code, security, and cost discipline.

$1T+

In run-rate EBITDA the cloud could add across the Fortune 500 by 2030 — for those who engineer it aggressively and build it right.

McKinsey & Company, 2021 ↗

~27%

Of cloud spend is self-reported as wasted — and 84% call managing it their single biggest challenge.

Flexera 2025 State of the Cloud ↗

Where it does the work

Where cloud engineering does the real work — and what each delivers.

Not one deliverable — a set of concrete builds, each fixing a specific way cloud projects go wrong.

01

Cloud architecture & well-architected design

Compute, data, networking, identity, and failure boundaries designed for your real trade-offs. Scales and survives — not over-built or fragile.

A checkout spread across zones with failover degrades gracefully at peak instead of going down.

02

Infrastructure as code (IaC)

Every resource in version-controlled code — built and rebuilt from a repository, not clicked together in a console. Repeatable, reviewable, recoverable.

A staging env that took days to hand-configure stands up in minutes — misconfigs show up in code review, not an outage.

03

Cloud migration & modernization

Workloads moved off aging infrastructure — rehost, re-platform, or re-architect — sequenced so nothing critical goes dark. A platform you can build on, not a relocated problem.

A strained legacy database moves to a managed, auto-scaling service — no more 2 a.m. pager, no patching by hand.

04

Security & compliance engineering

Identity, segmentation, encryption, secrets, and audit logging built in from the first commit — plus the controls a regulated workload must prove. Designed in, not bolted on after a finding.

Every resource gets least-privilege and encryption through the same IaC — a reviewer reads policy from code, not trust.

05

Cost engineering & FinOps

Right-sized resources, commitment and autoscaling strategies, and spend made visible per team and service. A bill that maps to value and stays forecastable.

An over-provisioned cluster is right-sized to scale with demand — off-peak hours stop billing for idle capacity.

06

Managed cloud & reliability operations

The foundation kept healthy after launch — observability, scaling, patching, backup, incident response. Problems surface as alerts, not customer complaints.

A traffic surge triggers auto scale-out and an alert — not a degraded site and a late-night call.

Cloud spend Governed

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, not after it.

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, not Silicon Prime's own client results.

66%

Lower infrastructure cost moving on-prem workloads to the cloud when paired with modern, right-sized services — not a like-for-like lift.

Enterprise Strategy Group, via AWS, 2024 ↗

84%

Say managing cloud spend is their biggest challenge — self-reporting ~27% of spend as wasted. The case for cost engineering in the build.

Flexera 2025 State of the Cloud ↗

5:1

Benefits-to-investment over five years on studied AWS deployments, breakeven in ~10 months — the order of magnitude a well-engineered migration returns.

IDC Business Value research, via AWS ↗

What's included

What our cloud engineering services cover.

The architect-and-build layer — the cloud foundation your applications run on. What separates a cloud you own from one you're merely renting.

01

Architecture & well-architected review

Compute, data, networking, identity, and failure boundaries designed and pressure-tested before a line is built.

02

Infrastructure as code & automation

Every resource codified in version-controlled IaC — environments built and rebuilt from a repository, not by hand.

03

Migration & application modernization

Migration planned per workload — rehost, re-platform, re-architect — on a 12-year record of modernizing live systems without downtime.

04

Security, compliance & identity

Identity, segmentation, encryption, secrets, and audit logging from the first commit — plus the controls fintech and healthcare must prove.

05

Cost engineering & FinOps

We right-size resources, apply autoscaling, and make spend visible per team and service — so the bill maps to value.

06

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

A well-architected cloud foundation in your own account
The complete infrastructure-as-code repository
The migration runbook and cutover plan
Security, identity, and audit-logging baked in as code
Cost and observability dashboards
Runbooks and a trained team

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

What we've actually built and run on cloud.

We won't claim a case study we don't have — so here's the genuinely relevant record rather than a wall of logos, closest fit first.

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 cloud-native heavy-equipment marketplace. $120M+ in payments processed, acquired by Caterpillar in 2017.

Cloud engineering at its least forgiving — money that must stay correct and available at scale.

Sports tech · since 2012

Bridge Athletic — built and carried since 2012, never going offline through re-platforming and migration; used by USC, the LA Rams, and MLB/MLS teams.

Migrating live systems without downtime is what a cloud migration lives or dies on.

Restaurants · 200+ locations

BJ's Restaurants — a software-critical 200+ location chain; releases moved biweekly → twice-weekly, zero critical defects across 4+ years.

The IaC, staged rollout, and monitoring that make a cloud platform safe to change.

Why build your cloud with us.

01

Cloud-neutral by design. We engineer on AWS, Azure, or GCP and choose on your workload — never on a reseller margin or partner quota. The architecture serves you, not a vendor relationship.

02

Everything as code, everything yours. The Terraform modules, architecture decisions, and runbooks — version-controlled and assigned to you under full work-for-hire IP. No black-box environment only the agency can touch.

03

Built to transfer, not to retain you. We train your team to operate, rebuild, and extend the platform when we step back. You own the capability; the dependency is optional.

04

Founder-led, one accountable lead. No account managers, no handoffs — the person who scopes the architecture answers for it in production.

05

Production discipline, proven over years. A multi-year record of keeping software dependable in production — and the honesty to right-size the build instead of over-architecting it.

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 — proved 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.

How is cloud engineering different from DevOps or managed cloud?+
Cloud engineering builds the foundation: the well-architected design, infrastructure-as-code, migration, and security and cost model your applications run on. DevOps is the CI/CD and day-to-day delivery on top of it; managed cloud keeps it healthy afterward. We do all three and scope which one you need — often a team has good delivery but an un-engineered foundation.
Which cloud should we build on — AWS, Azure, or GCP?+
Whichever fits your workload, estate, and constraints — and we make that call with you, not for a partner quota. AWS gives the broadest managed-service catalog and migration tooling; Azure suits a Microsoft-centric estate and identity; Google Cloud leads on data, analytics, and Kubernetes-native workloads. We recommend multi-cloud only for a concrete reason, because it multiplies your operational surface.
Can you migrate us off our current cloud or on-prem without downtime?+
Yes — it's a core part of what we do. We plan migration per workload (rehost, re-platform, or re-architect) and sequence the cutover so nothing critical goes dark. Migrating and modernizing live systems without taking them offline is exactly what we've done on a platform in production since 2012. We'll say plainly which workloads need re-architecting first.
How do you keep our cloud bill from spiraling?+
Cost engineering is part of the build, not a cleanup project. We right-size resources, apply commitment and autoscaling strategies, and make spend visible per team and service so the bill stays forecastable. It matters because even cloud-mature organizations struggle: 84% call managing spend their top challenge and self-report ~27% wasted (Flexera, 2025).
How do you handle security and compliance?+
Security is designed into the architecture from the first commit, not bolted on after a finding. We build least-privilege identity, segmentation, encryption, secrets management, and audit logging as infrastructure-as-code, so the controls are readable from the repository, and every engagement starts with an NDA and a security review. For regulated workloads we codify the controls fintech and healthcare must prove.
Why infrastructure as code — can't you just use the console?+
Because a console-clicked environment can't be reviewed, audited, or rebuilt reliably — and that's where outages and surprise costs live. With infrastructure-as-code, every change goes through code review, a new environment is a pipeline run instead of a multi-day manual rebuild, and disaster recovery is repeatable rather than improvised. It's also how the platform transfers cleanly: the repository is the environment you own.
Who owns the architecture and the code when you're done?+
You do — completely. The infrastructure-as-code, architecture decisions, runbooks, and dashboards transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate, rebuild, and extend the platform. The engagement is built around the handover — keep us on a reduced retainer for managed operations, or take the keys. There's no black-box environment only we can touch.
What do cloud engineering services cost and how long?+
Most engagements reach steady state in 4–8 weeks under a fixed-scope arrangement with one accountable lead, and payment is tied to the outcomes we deliver. Our AI development cost guide covers how we scope and price engineering work, and we model the cloud run cost before building — so the monthly bill is a forecast you've already seen.

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.

Book a 30-min scoping call → Email us