Service

Cloud, DevOps and Deployment

Deployment, CI/CD, monitoring and cloud infrastructure that make releases boring and keep your product up: Docker, AWS, Azure and Vercel.

Shipping should be boring. If deploying your product is a tense, manual, Friday-afternoon-avoiding event, that is a fixable problem, and fixing it is some of the highest-leverage work you can do. I set up the infrastructure that makes releases safe, repeatable and unremarkable.

I set up Docker-based CI/CD deployments across AWS and Azure on the products I work on, improving release consistency and cutting the manual steps that cause outages. This is real production DevOps, not a one-off script.

Deploys that cannot surprise you

I build CI/CD pipelines where every code change runs through the same path: automated tests, then a controlled deploy. No more "it worked on my machine", no more manual steps someone forgets at 2am. Releasing becomes something you do calmly and often, which is exactly when teams ship their best work.

Portable by default

I containerize applications with Docker so they run identically on your laptop, on AWS, on Azure or on a plain VPS. That portability is insurance: you are never locked to one host's pricing or quirks, and moving is a configuration change rather than a migration project.

Know before your users do

Monitoring, alerting and error tracking so problems reach you before they reach Twitter. Health checks with automatic failover. The goal is that you find out about an issue from a dashboard, not a customer, and that most issues self-heal before anyone notices.

Backups you can actually restore

Automated database backups with point-in-time recovery, stored separately from production, and a restore you have actually performed at least once. An untested backup is a hope, not a plan, and I treat it as part of the setup rather than a someday task.

Who this is for

Teams whose deploys are scary, products with no monitoring or backups, and anyone standing up new infrastructure who wants it done right the first time. If your ops are held together by hope, this replaces it with a system.

What you get

  • A CI/CD pipeline where every change is tested and shipped the same safe way
  • Dockerized apps that run identically on any host, with no vendor lock-in
  • Monitoring, alerting and error tracking so you know before your users do
  • Automated backups with a restore you have actually tested

Cloud, DevOps and Deployment in practice

DentaSmartAI

AI dental health platform where users upload photos or X-rays of their teeth and get an oral health score, plain-English findings and a clinical report for their dentist.

MicroservicesDjangoFastAPINestJS+8
View case study
OnMLSSaaS

Real estate platform that lets sellers prepare an MLS listing with AI staging, 3D tours and real comparable sales data, paying a flat 0.50% broker fee at closing instead of a traditional commission.

Next.jsReactNode.jsPostgreSQL+4
View case study
Companion Animal HealthHealthcare

Digital platform for the veterinary market leader in laser and regenerative therapy, covering products, clinical evidence, 150+ on-demand webinars and demo request workflows.

ReactNext.jsNode.jsExpress+2
View case study

Need cloud, devops and deployment?

Tell me what you are building and I will tell you honestly how I can help, with a clear plan and estimate.

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