Microsoft AI Cloud Partner Principal-led · AI-accelerated · Available now

Senior Cloud Engineering,
Principal-Led. AI-Accelerated.

Boutique Azure consulting — you work directly with the expert who scoped your engagement. No bench time, no junior handoffs. AI-automated delivery means senior-level results at the speed and cost you'd expect from a team.

$250K+ Annual cloud cost savings delivered
20+ Azure environments architected
99.9% Uptime under 10× traffic spikes
AZ-305 Azure Solutions Architect Expert

.NET on IIS → Azure Container Apps.
AI-automated, end to end.

Before
Windows Server · IIS
  • ✕.NET apps on bare metal
  • ✕Manual deployments
  • ✕No environment isolation
  • ✕No observability
  • ✕No CI/CD
→ AI-Automated
After · Azure
  • ✓20+ apps containerized
  • ✓6 isolated VNETs
  • ✓Container Apps + CAE per env
  • ✓Storage accounts + private endpoints
  • ✓Application Insights · Log Analytics
  • ✓CI/CD pipelines per app per env
6 Isolated Azure Environments
Pipeline↓
dev
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
Pipeline↓
prestaging
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
Pipeline↓
staging
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
Pipeline↓
prerelease
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
Pipeline↓
int-prod
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
Pipeline↓
customer
VNET
CAE
ACA
ACA
ACA
+9
Storage
📊 App Insights
claude — agentic infrastructure automation
$ analyzing repository — found 20+ .NET web applications targeting IIS
✓ Generated Dockerfiles + .dockerignore for all 20+ applications
✓ Built container images → pushed to Azure Container Registry
✓ Created 6 isolated VNETs  (dev / prestaging / staging / prerelease / int-prod / customer)
✓ Provisioned Container Apps Environments — VNET-injected, per environment
✓ Deployed Azure Container Apps — parallel routing, health probes, autoscale rules
✓ Storage accounts + private endpoints + private DNS zone groups — per environment
✓ Log Analytics workspaces + Application Insights — telemetry wired to all apps
✓ CI/CD pipelines — build → push to ACR → deploy per app per environment
→ Full stack online. 6 environments. All apps running in parallel. 0 manual steps.

AKS is the default.
It's rarely the right call.

AKS — What most teams choose
Managed Kubernetes · Full control
  • ✕Control plane billed 24/7 — ~$73/mo before a single pod runs
  • ✕3-node minimum recommended for production HA
  • ✕You own upgrades, patching, and node pool scaling
  • ✕Ingress controllers, cert-manager, external-dns — all yours to wire
  • ✕Egress is painful — rewriting ingress, networking, and CI/CD to leave
→ ACA
Azure Container Apps — What you actually need
  • ✓Scales to zero — pay only for what runs
  • ✓Built on AKS under the hood — same substrate, zero cluster toil
  • ✓No control plane to manage — Azure owns the cluster
  • ✓VNET-injectable, private endpoints, managed certs — built in
  • ✓Dapr, KEDA, Envoy — available without running your own
  • ✓CI/CD is simpler — push a container image, done
The insight most Azure teams miss

Azure Container Apps runs on top of AKS. You get the full power of the platform without owning the control plane. Most engineers default to AKS because they know Kubernetes — not because it's the right tool for the job. The ones who find out otherwise are usually staring at a $2K+/month cluster bill with no clean way out.

We steer you to the right tool from day one — or rescue you if you're already in a cluster you can't afford to exit.

Four practice areas,
all AI-accelerated.

⬡

Platform Engineering

Internal developer platforms, golden-path tooling, self-service infrastructure provisioning, and environment automation — so your engineering teams ship without needing deep cloud expertise themselves.

→

Cloud Migration & Architecture

Assessment, design, and execution of migrations to Azure, AWS, or GCP. Landing zone design, architecture review, and modernization from on-prem to cloud-native — lift-and-shift or full re-architecture.

⚙

DevOps & Infrastructure Automation

CI/CD pipeline design, infrastructure-as-code with Terraform, containerization and orchestration with Docker and Kubernetes, and full automation of manual operational toil.

◈

FinOps & Cost Optimization

Cloud spend audits, reserved instance and savings plan strategy, rightsizing, tagging and chargeback implementation, and ongoing cost-governance retainers that actually move the number.

How we work together.

Boutique means you get the senior person, not a team of juniors billing hours. AI means that senior person delivers at team speed. Every engagement model below reflects that.

01

Embedded Contract

I work inside your team on a fixed-term or ongoing basis — your senior cloud lead, without the full-time hire overhead. The primary model.

02

Fixed-Scope Project

A defined deliverable — migration, platform build, cost audit — at a fixed price with clear milestones and handover documentation.

03

Advisory Retainer

Fractional cloud architect access billed monthly. Architecture reviews, escalation support, and strategic guidance on demand.

04

Infrastructure SRE Retainer

You inherited an Azure environment and the team that built it is gone. I become your ongoing platform owner — drift detection, security patching, cost monitoring, pipeline health, and incident response. Monthly, no long-term contract.

Where I've built.

Supplemental Health Care
DevOps & Platform Engineering Lead

Lead a 5-engineer team owning Azure infrastructure across 20+ environments. Delivered $250K+ in annual cost savings through reservation optimization and AKS consolidation. Architected zero-drift Terraform platform, HIPAA/SOC 2/PCI readiness, and introduced agentic AI into infrastructure delivery workflows.

General Motors
Software Engineer

Built manufacturing automation software on Azure. Delivered 1,800+ hours of time savings through deployment automation, drove the Bitbucket-to-Azure-DevOps migration, and owned end-to-end CI/CD adoption across Agile teams.

Previously Senior DevOps Engineer at Octave — standardized Azure deployments across AKS, Cosmos DB, and App Service; owned Entra ID and Conditional Access policy architecture.

The stack.

Cloud & Infrastructure
Azure IaaS/PaaS Terraform AKS Container Apps App Service Azure Functions Private Endpoints Front Door VPN Gateway Azure DNS Key Vault
Platform / DevOps
Azure DevOps GitHub Actions Docker Helm Ansible Packer CI/CD Prometheus Grafana App Insights
Security & Identity
Entra ID Conditional Access RBAC Azure Policy Managed Identities HIPAA SOC 2 PCI Snyk SonarQube
Data & Languages
Azure SQL Cosmos DB PostgreSQL Redis C# / .NET Python PowerShell Bash TypeScript
AI / Emerging
Agentic AI Orchestration LLMOps AI-assisted IaC Distributed Systems Multi-Region Infra
Certifications
Microsoft AI Cloud Partner AZ-305 Solutions Architect Expert AZ-400 DevOps Engineer Expert AZ-900 Fundamentals M.S. Software Engineering

Helpful links.

— let your fingers do the scrolling —

AI-native tools,
starting with healthcare.

Coming soon
More products
in progress.

CareNote is the first of several AI-native tools being built at Dswoosh Cloud Consulting. Each product targets a workflow that generates high documentation burden and low clinical value — starting in healthcare, expanding from there.

If you have a documentation-heavy workflow that could use AI, reach out.

Talk to us →

Ready to build something.

Available for new engagements now. Whether it's a migration, a cost audit, or an embedded contract — you'll work directly with me, and AI tooling means we move fast. Reach out and we'll scope it.

Availability Open to new engagements