Cloud Architecture
AWS, Azure, GCP, hybrid, multi-cloud, infrastructure as code, landing zones, observability, and portability planning.
Founded in 2026. Built on decades of experience.
CoreFeld
Engineering that works so well your users never notice.
We guide, design, and build cloud, AI, security, resilience, performance, and software systems using evidence, not hype, quotas, or vendor loyalty.
Guide first. Build second.
Start with the problem, not the platform.
CoreFeld helps organizations make clear technical decisions before they commit to a migration, rewrite, AI system, cloud provider, or architecture path. Paid building work should follow honest analysis.
Services
Senior engineering across the hard parts of modern systems.
AI Engineering
AI fit assessment, custom AI applications, enterprise assistants, RAG, workflow automation, model evaluation, and governance.
Security
Secure architecture, threat modeling, DevSecOps, repository protection, identity, secrets, encryption, and incident readiness.
Disaster Recovery
Business continuity, restore testing, ransomware recovery, multi-region planning, immutable backups, runbooks, RTO, and RPO.
Platform Engineering
CI/CD, developer platforms, golden paths, deployment safety, policy as code, secure build pipelines, and release automation.
Software Engineering
Custom applications, APIs, integrations, distributed systems, modernization, architecture reviews, and project rescue.
Performance
Profiling, load testing, benchmarking, latency, throughput, capacity planning, database tuning, and cost-performance decisions.
Cost Optimization
Cloud cost assessment, rightsizing, licensing, data transfer, storage, TCO, build-versus-buy, and expensive-default removal.
Technical Leadership
Fractional CTO, chief architect, technical strategy, due diligence, vendor evaluation, architecture governance, and mentoring.
Approach
Every major recommendation should survive measurement.
01
Understand
Clarify the business problem, users, constraints, risks, and success criteria.
02
Measure
Use benchmarks, cost models, threat models, failure testing, and operational review.
03
Decide
Compare realistic paths, including simpler options and doing nothing when that is best.
04
Build
Implement systems that are documented, observable, secure, testable, and operable.
Evidence-based engineering
The right technology, not the loudest technology.
We do not recommend AI when conventional software, automation, process change, or no software is the better answer.
We do not push AWS, Azure, GCP, on-premises, hybrid, or multi-cloud designs without a reason the client can inspect.
We optimize total cost, not merely the cloud bill.
Where we stand
The better you know a provider, the more honest you have to be about it.
AWS
We know AWS very well. We do not like AWS. We still build on it when it is the best option for the problem, or when it is what your organization requires.
Azure
We know Azure. We do not like Azure. The same rule applies.
Cloudflare & GCP
We know them both, and so far we have found no reason to dislike them. That may change as familiarity deepens — and if it does, we will say so.
That is what honest familiarity looks like. If you know a platform deeply and think critically, you will eventually find things to dislike. Disliking a provider does not make it good for nothing — it makes our recommendation of it mean something.
We are not anyone's partner. No partner tiers, no resale margins, no agreements that require us to praise a vendor's roadmap. When a provider misses the mark or is selling snake oil, we say so plainly — and we bring strategies to keep your architecture out of their traps: exit paths, portability planning, egress-cost math, and expensive-default removal.
That independence is what you actually need in a consultancy.
Entry offers
Start with a bounded assessment.
Architecture Review
Current state, risks, options, recommended path, and roadmap.
AI Fit Assessment
Workflow analysis, data and security review, AI and non-AI options.
Security Architecture Review
Threat model, cloud/repository/CI/CD findings, and remediation plan.
DR Readiness Assessment
RTO/RPO gaps, dependency map, backup review, restore path, and runbooks.
Cost and Performance Review
Billing, architecture, performance, licensing, and TCO opportunities.
Technical Due Diligence
Architecture, delivery, security, cost, and operational risk review.
About CoreFeld
A new company with experienced judgment.
CoreFeld was founded in 2026 in Minnesota. The company is new. The experience behind it is not.
Our team brings decades of hands-on experience across multiple generations of technology. That perspective helps us distinguish durable innovation from hype.
CoreFeld was founded by Jonathan “Jon” Holman, a Rochester, Minnesota engineer with roughly 25 years of professional IT experience. The company is founder-led at launch and can scale through employees, trusted specialists, and subcontractors when a client problem requires more capacity or specialized expertise.
Contact
Bring the hard technical problem.
We will help decide what should be built, what should be changed, and what should be left alone.