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.
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.
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
AWS, Azure, GCP, hybrid, multi-cloud, infrastructure as code, landing zones, observability, and portability planning.
AI fit assessment, custom AI applications, enterprise assistants, RAG, workflow automation, model evaluation, and governance.
Secure architecture, threat modeling, DevSecOps, repository protection, identity, secrets, encryption, and incident readiness.
Business continuity, restore testing, ransomware recovery, multi-region planning, immutable backups, runbooks, RTO, and RPO.
CI/CD, developer platforms, golden paths, deployment safety, policy as code, secure build pipelines, and release automation.
Custom applications, APIs, integrations, distributed systems, modernization, architecture reviews, and project rescue.
Profiling, load testing, benchmarking, latency, throughput, capacity planning, database tuning, and cost-performance decisions.
Cloud cost assessment, rightsizing, licensing, data transfer, storage, TCO, build-versus-buy, and expensive-default removal.
Fractional CTO, chief architect, technical strategy, due diligence, vendor evaluation, architecture governance, and mentoring.
Approach
Clarify the business problem, users, constraints, risks, and success criteria.
Use benchmarks, cost models, threat models, failure testing, and operational review.
Compare realistic paths, including simpler options and doing nothing when that is best.
Implement systems that are documented, observable, secure, testable, and operable.
Evidence-based engineering
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.
Entry offers
Current state, risks, options, recommended path, and roadmap.
Workflow analysis, data and security review, AI and non-AI options.
Threat model, cloud/repository/CI/CD findings, and remediation plan.
RTO/RPO gaps, dependency map, backup review, restore path, and runbooks.
Billing, architecture, performance, licensing, and TCO opportunities.
Architecture, delivery, security, cost, and operational risk review.
About CoreFeld
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 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
We will help decide what should be built, what should be changed, and what should be left alone.