Backend infrastructure, CI/CD, and monitoring so what works on your laptop keeps working in production.
From working demo to production system
A lot of AI and software projects stall at the same point: the demo works, but nobody has set up the infrastructure, deployment pipeline, or monitoring to run it reliably for real users. That gap is what this service closes.
WhiteGuava sets up backend infrastructure, databases, APIs, and CI/CD pipelines on AWS, Azure, or your preferred cloud platform, usually as the deployment layer for AI agents, software, or automation we are already building, though we also take on infrastructure-only engagements.
This is also where cost control happens. Cloud bills grow quietly when infrastructure is sized for peak-guesswork instead of actual traffic, we size it for what you run, with room to scale deliberately, not by accident.
What this engagement covers
AWS & Azure
Cloud architecture and setup on the platform you already use or prefer, sized for your actual traffic and budget rather than over-provisioned defaults.
Backend infrastructure
APIs, databases, queues, and storage configured to support production AI systems and business applications, not just a prototype.
CI/CD pipelines
Automated build, test, and deployment pipelines so releases are repeatable and rollbacks are possible, instead of manual server updates.
Monitoring & scaling
Logging, alerting, and autoscaling put in place before launch, so issues surface as alerts rather than as complaints from users.
Security and access control
Environment separation, secrets management, and least-privilege access set up from the start, not bolted on after an incident.
Cost visibility
Infrastructure sized and tagged so you can see what is driving cloud spend, instead of one opaque monthly bill.
Who this is for
Teams past the prototype stage
A working AI agent, app, or automation that needs to move from someone's laptop to something real users can rely on.
Businesses with an existing codebase and no DevOps
Software that runs, but with no CI/CD, no monitoring, and deployment that depends on one person remembering the steps.
Companies scaling faster than their infrastructure
Usage has grown past what the original setup was sized for, and reliability is starting to slip.
Frequently Asked Questions
Let's Build Something Intelligent.
Have an idea, workflow, or business problem you'd like to solve?
Tell us what you're working on and we'll get back to you.