Evolve Your Cloud Platform Without the Fragility
Cloud & Infrastructure Evolution modernizes your infrastructure — Kubernetes adoption, cloud migration and re-architecture, platform engineering, and multi-cloud strategy — with the code transformation executed under the governed AI-MSL lifecycle.
Trusted by teams running production software
For platforms where infrastructure limits what software can become
Infrastructure decisions made years ago — VM sprawl, self-managed clusters, lifted-and-shifted workloads — quietly tax every release: rising costs, fragile deployments, and platform work that competes with the roadmap.
Cloud & Infrastructure Evolution defines the target platform; AI-MSL provides governed lifecycle execution for the cloud-related code transformation and platform work that gets you there — with cost, security, and operability improvements you can measure.
“Platforms don’t fail in the migration. They fail in year two — when nobody governs how the system evolves on top of them.”
Co-Chair, LF AI & Data committee
What Cloud & Infrastructure Evolution covers
The areas of work AI-MSL covers — scoped to your system through assessment and executed under continuous lifecycle governance.
You always have visibility into the platform work that will most improve cost, reliability, and operability — and what it costs before it ships.
Platform Evolution Starts With Understanding Your System
Every AI-MSL engagement begins with a comprehensive system assessment. Using AppGraph and AI-MSL analysis, we evaluate your applications and infrastructure across 20+ dimensions — producing a prioritized report of platform and infrastructure opportunities.
With AI-MSL, modernization is not a one-time assessment — it becomes a continuous discovery process that keeps your technology roadmap current.
Pay for Changes— Not Headcount
Traditional platform projects need big up-front budgets and long migration plans before any value lands. AI-MSL works differently — every migration, re-architecture, and platform task is a delivery-ready change you can evaluate, prioritize, approve, and measure independently.
One Completed Governed Software Change
Delivered in cycles. Governed by design.
Platform evolution in 2–3 day cycles
Most platform work is decomposed into small, governed cycles — each delivering an independent, validated improvement to infrastructure you keep running.
Governance built into every change
Platform changes still touch critical systems, customer experiences, and business operations. Every change passes through AI-MSL governance controls before deployment.
cycles
gates
“Teams evolve the platform under their software without sacrificing quality, accountability, or operational control.”
Nick Chase · Chief AI Officer, CloudGeometry
What you can count on every cycle
The same shape, every time — predictable, measurable, and prioritized.
What a cycle looks like in practice
Representative changes — each delivered as one governed cycle.
Infrastructure evolves continuously — governed for cost and reliability.
Is Cloud & Infrastructure Evolution right for you?
You're in the right place if:
Not sure
it's a fit?
Cloud & Infrastructure Evolution is built for the platform under your software. If day-to-day production operations are the bigger burden, Managed Production Operations may be the better entry path; if the application itself needs structural work, see Application Modernization — every service runs on the same governed lifecycle. Or start with the assessment, and it will point you to the right one.
Outcomes you can measure
Platform evolution becomes measurable — across cost, reliability, scalability, security, visibility, and readiness for what's next.
Platform Evolution Proven in Production
Production infrastructure migrated and evolved under governance — measured in migrated services, reduced costs, and real-time visibility.
Kasasa
A financial technology and marketing services company partnered with CloudGeometry and AWS to migrate over 200 services from self-managed Kubernetes to Amazon EKS — cutting infrastructure costs by 20–30% with automatic cluster scalability and upgrades.
We evolved the platform without the fragility we'd come to expect from a migration.
Major Retailer
A major retailer migrated from VMware to Kubernetes with OpenCost integration — real-time cost visibility by namespace, workload, and department, with proactive budget thresholds and alerts replacing end-of-month surprises.
Cloud spend became something we govern, not something we discover at month-end.
See What Cloud & Infrastructure Evolution Under AI-MSL Looks Like for Your System
Every engagement begins with a System Intelligence Assessment. You'll receive a clear analysis of your architecture, technical debt, AI-readiness, and expected AI-MSL operating cost.