FROM
→One application
TOA service in a living system
Teach what happens
after the code ships.
Students move from running one application to designing platforms that can deploy, observe and recover under real constraints. Failure becomes part of the curriculum.
CL
OUR POINT OF VIEW
Modern software education must include what happens after the code runs locally.
THE FIELD IS MOVING
What students must learn to see differently.
The durable skill is not familiarity with today’s tool. It is the ability to reason about the system, its constraints, and the evidence behind a decision.
FROM
→Does it run?
TOCan it operate under change and failure?
FROM
→Manual deployment
TORepeatable platforms, observability, and reliability
INDUSTRY-VETTED COURSE PORTFOLIO
A pathway from foundations to consequential work.
Representative courses can be configured as electives, honors pathways, minors, faculty-development modules, or an integrated specialization.
CL-3014 credits · deployment lab
Cloud Systems from First Principles
Package, deploy and operate service based applications while seeing every layer beneath them.
01CL-3154 credits · systems practicum
Distributed Systems under Failure
Reason about consistency, replication, coordination and the failures diagrams tend to hide.
02CL-4024 credits · platform studio
Internal Developer Platforms
Build paved roads and self service workflows that make engineering teams faster and safer.
03CL-4104 credits · automation studio
Infrastructure as Code at Scale
Create reviewable, testable and repeatable infrastructure with policy built into delivery.
04CL-4214 credits · operations lab
SRE and Incident Practice
Set reliability targets, respond to incidents and learn from systems under stress.
05CL-4904 credits · reviewed capstone
Resilient Systems Studio
Deliver a measured platform under load, change and deliberately injected failure.
06HOW WE TEACH THE DOMAIN
Practice that creates professional judgment.
Each learning experience is structured around how credible work is actually reviewed: assumptions are explicit, evidence is inspectable, and important tradeoffs must be defended.
Architecture under constraints
Students make explicit choices about scale, consistency, cost, latency, and failure instead of copying reference diagrams.
Everything as code
Infrastructure, policy, delivery pipelines, and environment configuration become versioned, reviewable systems.
Observability as a design input
Logs, metrics, traces and service level objectives are built with the system, not attached afterward.
Failure as curriculum
Load tests, dependency failures, rollbacks, and incident reviews teach operational judgment.
APPLIED WORK
The kind of problems students can learn to own.
These briefs illustrate the project scope and engineering judgment we bring into programs, labs, and industry-supported capstones.
BRIEF / 01
Internal developer platform
Self-service service deployment with policy, templates, and observability.
BRIEF / 02
Failure-aware commerce backend
Distributed transaction workflow tested under dependency outages.
BRIEF / 03
Campus compute control plane
Multi-tenant scheduling, quotas, cost visibility, and workload lifecycle.
CENTER OF EXCELLENCE BLUEPRINT
A Cloud & Platform Engineering Center of Excellence
A campus environment where students operate shared platforms, practice reliability, and learn infrastructure through responsibility for real systems.
01
FOUNDATIONSNetworks, operating systems, distributed computing, software design
02
PLATFORMContainers, clusters, IaC, CI/CD, secrets, observability
03
OPERATESLOs, incident response, capacity, security, cost management
04
PROVEArchitecture reviews, load tests, game days, runbooks, demos
CAPABILITYEVIDENCE
WHAT ACADEMIC LEADERS CAN INSPECT
Proof beyond completion.
Every program is designed to leave behind concrete evidence of what students can do and how well they can reason.
Versioned infrastructure repositoriesService-level objectives and dashboardsLoad and failure-test reportsIncident reviews and operational runbooks
WAYS TO BEGIN
Bring this domain into your institution at the right depth.
CL / START A CONVERSATION
What could Cloud & Platform look like at your institution?
We’ll help you choose the right academic format, faculty enablement model, infrastructure, and first set of student outcomes.