Cloud & DevOps
Cloud Infrastructure and DevOps That Ships Safely
AWS, Docker, and Kubernetes wired into CI/CD pipelines and infrastructure as code, so every deploy is repeatable, observable, and reversible.
Cloud and DevOps work is everything between your code and your users: the pipelines that build and test it, the containers that run it, the AWS infrastructure underneath, and the automation that ships it without a human typing commands into production. I set up CI/CD pipelines, containerize applications with Docker, orchestrate them on Kubernetes when the scale warrants it, and define the whole stack as infrastructure as code so it can be rebuilt from scratch on demand.
Most teams I work with aren't suffering from a lack of tools. They're suffering from deploys that take a person all afternoon, environments that drift apart until staging tells you nothing about production, and outages they only hear about from customers. I fix the boring causes: flaky manual releases become one-click pipelines, snowflake servers become version-controlled Terraform, and silent failures get caught by monitoring and alerts that fire before users notice. The goal is infrastructure you can trust and roll back in minutes, not a fragile setup only one engineer understands.
Seventeen years in this work changes what you build. I've migrated monoliths to containers, untangled CI pipelines that took 40 minutes to fail, and sat through enough 3am incidents to design for the failure modes that actually happen rather than the ones that look good in a diagram. That experience shows up as restraint: I'll reach for managed AWS services and plain Docker before I reach for a Kubernetes cluster you don't need, because the right architecture is the one your team can operate after I'm gone.
What you get
Deliverables
CI/CD Pipeline
An automated build, test, and deploy pipeline that ships your code to production on every merge with zero manual steps.
Containerized Application
Your services packaged into lean, reproducible Docker images that run identically on a laptop and in production.
Infrastructure as Code
Your entire AWS environment defined in Terraform so it's version-controlled, reviewable, and rebuildable from scratch.
Kubernetes Setup
A production-ready cluster with auto-scaling, rolling deploys, and safe rollbacks when your scale actually justifies it.
Monitoring & Alerts
Dashboards and alerting that surface errors, latency, and resource limits before your customers run into them.
Runbook & Handover
Clear documentation of how the system deploys, scales, and recovers, so your team can operate it without me.
Stack
Technologies I use for this
How it goes
The engagement
Audit
I review your current infrastructure, deploy process, and pain points to find the highest-leverage fixes first.
Plan
I propose a pragmatic architecture and a sequenced roadmap, scoped to what your team will actually operate.
Build & Ship
I implement the pipelines, containers, IaC, and monitoring incrementally, validating each piece in a real environment before moving on.
Handover
I document everything, walk your team through the system, and stay available to support the first production deploys.
FAQ
Questions about Cloud & DevOps
- Do I actually need Kubernetes?
- Usually not at first. Plenty of teams ship faster and cheaper on AWS ECS, Fargate, or plain Docker, and I'll only recommend Kubernetes when your scale, multi-service complexity, or team size genuinely justifies the operational overhead.
- Can you set up CI/CD without rewriting our whole codebase?
- Yes. CI/CD pipelines wrap around your existing code, not through it. I add automated build, test, and deploy stages with GitHub Actions or GitLab CI, and the only code changes are usually a Dockerfile and some config.
- Will moving to infrastructure as code cause downtime?
- It shouldn't. I import existing resources into Terraform and roll changes out incrementally, validating against your real environment so the migration is gradual and reversible rather than a risky big-bang cutover.
- What does the engagement look like and how do we start?
- Most projects start with a short infrastructure audit, then a fixed-scope phase of work with clear deliverables. I work on Upwork with a Top Rated Plus track record over 15,000+ hours, so you can see the history before we commit to anything larger.
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Schemas that scale and queries that stay fast.
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Need help with Cloud & DevOps?
Tell me about your project and I'll tell you honestly whether I'm the right fit.
Get in touch