Move, Automate and Right-Size Your Cloud
Cloud problems rarely look urgent until they are: a bill nobody can explain, a release that needs three people and an evening, an environment that takes a day to set up. I move platforms between clouds, build CI/CD that makes releases routine and put infrastructure into code on AWS and GCP. At OneTrust the pipelines I designed cut the release cycle by 60%. At ProbiusDx an Azure to AWS move cut operational overhead by 35%.
What Problems I Solve
Cloud Migrations
Move a platform between clouds, or from servers to managed services, in phases, with the old and new running side by side until each piece is verified.
Slow, Manual Releases
CI/CD pipelines that test, build and deploy to every environment on their own, with an audit trail and a rollback path.
A Bill Nobody Can Explain
Find where the money goes, tie spend to services and teams, then remove the waste: idle resources, oversized instances, work that could be serverless.
Kubernetes That Fights Back
Clusters, Helm charts and deploy flows that your team understands, instead of YAML only one person dares to change.
Hand-Built Environments
Infrastructure as code with Terraform, so a new environment is a pull request and a few minutes, not a day of clicking in a console.
Security Left for Later
Secrets management, least-privilege access and network boundaries, built in during a migration rather than bolted on after it.
Value I Deliver
Releases in Minutes
At OneTrust, multi-environment deploys ran in under 30 minutes with full auditability.
Environments on Demand
For the Hercules ML platform, automated CI/CD cut environment setup from hours to under 5 minutes.
Spend You Can See
Cost and usage data tied to services and teams. At Pinterest I own the pipelines that measure infrastructure cost and usage across the platform.
Rollback on Every Step
Phased rollouts with validation between environments, so a bad release is reverted, not debugged live.
Everything in Code
Infrastructure, pipelines and configuration in version control, reviewed like any other change.
Monitoring From Day One
Dashboards and alerts set up with the infrastructure, with Datadog, Grafana or OpenTelemetry, not after the first outage.
Real-World Implementations
Azure to AWS Platform Migration
Challenge
A legacy bioanalytical platform on Azure had to move to AWS. The move also had to improve the security posture and speed up ML inference.
Solution
- Designed REST APIs and microservices around the legacy components so they could move one at a time
- Rebuilt the infrastructure on AWS
- Hardened the security posture as part of the move
Results
The platform ran on AWS with 35% less operational overhead, a stronger security posture and lower ML inference latency. Read the full case study
Technologies Used
Jira-Triggered CI/CD on Kubernetes
Challenge
Releases had to move through DEV, QA1, QA2 and PROD for a compliance product serving 14,000+ enterprise customers, with a record of what was deployed where and why.
Solution
- CI/CD pipelines triggered from Jira, with full auditability of every deploy
- Python and Django services deployed to Kubernetes in every environment
- A stack built on Helm, ArgoCD, Terraform, Datadog and OpenTelemetry
Results
Release cycle time dropped by 60%, and a deploy across environments took under 30 minutes with full auditability. Read the OneTrust case study
Technologies Used
Greenfield ML Platform and Serverless Security Automation
Challenge
Two consulting engagements: a new ML platform that needed infrastructure from scratch, and a security automation platform that had to move to AWS serverless.
Solution
- Hercules: provisioned the full AWS and Docker infrastructure and automated CI/CD for the new platform
- Swimlane / TIVIT: migrated the platform to AWS Lambda and S3
- Swimlane / TIVIT: built a centralized threat-intelligence dashboard in Grafana covering 20+ attack vectors
Results
Setting up a Hercules environment went from hours to under 5 minutes. See all case studies
Technologies Used
Technologies & Tools I Work With
Cloud Providers
Containers & Orchestration
Infrastructure as Code
CI/CD
Serverless
Observability
How I Work
Look at What Is There
The cloud bill, the architecture, the deploy process and the incidents of the last months. The plan starts from real numbers.
Plan in Phases
Each phase has a clear goal, a validation step and a way back. Nothing moves in one big weekend.
Put It in Code
Infrastructure and pipelines are written as code and reviewed in pull requests, so every change is visible and repeatable.
Move and Verify
Old and new run side by side until the new path is verified, then traffic moves over.
Hand Over
Runbooks, dashboards and a walkthrough, so your team can operate the platform without me.
How We Can Work Together
Infrastructure Review
A short, fixed-scope look at your cloud setup, costs and release process. You get a written report: risks, waste, what to fix first and a plan you can execute with or without me.
Fixed-Scope Project
A defined migration, pipeline or Kubernetes setup with a written scope, timeline and deliverables.
Monthly Retainer
Ongoing ownership of your platform: upgrades, pipelines, cost reviews and incident follow-ups, with priority response.
Not sure which fits? See how consulting engagements work or book a call.
Frequently Asked Questions
How much can we save on cloud costs?
It depends on how the platform was built and how it is used, so I do not quote a number before looking. The review shows where the money goes and which changes are worth making. At ProbiusDx, moving to AWS cut operational overhead by 35%.
Will a migration cause downtime?
The goal is none. Services move in phases, old and new run side by side, and each step has a rollback. Where a short maintenance window is safer than a complex cut-over, I say so up front.
AWS, GCP or Azure?
I work mostly on AWS and GCP, and I have moved platforms off Azure. If you are already on one, the answer is usually to stay and use it well.
Can you work with our existing team and tools?
Yes. I work in your repositories, your CI system and your cloud accounts, through pull requests your team reviews.
How long does a migration take?
A single service or pipeline is typically a few weeks. A full platform move is planned in phases over a few months. I give a written estimate after the first call, once I have seen the setup.
Is Your Cloud Costing More Than It Should?
Tell me what you run and where it hurts, and I will tell you what I would change first.