Engineering Services

Cloud Infrastructure, MLOps & Security

Cloud architecture, ML pipeline operations, and security hardening - the infrastructure layer that keeps AI and business-critical systems reliable in production.

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Cloud Infra

Why It Matters

The Case for Cloud, MLOps & Security

AI and data systems are only as reliable as the infrastructure underneath them - a great model on brittle infrastructure is still a brittle product. Our Cloud, MLOps & Security practice exists to make sure the operational layer doesn't become the weakest link in what you've built.

We run this discipline on our own products first: the AWS-based infrastructure behind upmarX and Skelbiz uses the same container orchestration, CI/CD, and security hardening practices we bring to client engagements, so recommendations come from what we've already operated at scale.

In practice, that means aWS-based deployments across our own product line. Clients evaluating Cloud, MLOps & Security often pair it with AI & Agentic Engineering as part of a fuller Engineering engagement, though it's scoped and delivered as a standalone service just as often.

End-to-End

Delivery Standard

Engineering

What's Included

A scoped, modular engagement - not an all-or-nothing commitment. Every item below can stand alone or combine into a broader rollout, depending on where you're starting from.

Cloud Architecture

Infrastructure sized and secured for scale.

MLOps Pipelines

Model training and deployment, automated.

Security Hardening

Access, secrets, and infra locked down.

CI/CD & Observability

Ship confidently with visibility at every step.

Engagement Model

How We Deliver This

Four steps, applied consistently, so progress stays visible at every stage instead of arriving as one unpredictable handoff at the end.

Scope

We define outcomes, constraints, and success metrics before writing a proposal, let alone a line of code.

Design

Architecture and interfaces are reviewed with you before development starts, so surprises show up on paper, not in production.

Build

Iterative delivery in short cycles, with visibility into progress at every step rather than a single distant reveal.

Operate

We stay engaged through launch, scaling, and the long-term realities that only show up after real users arrive.

Engagement Highlights

AWS-based deployments across our own product line
Container orchestration with Docker and Kubernetes
Infrastructure reviews to close gaps before they're incidents
Supports the infra behind both upmarX and Skelbiz
Delivered by the same team and process that runs upmarX and Skelbiz in production

Questions

Cloud, MLOps & Security FAQ

Which cloud providers do you work with?

AWS is our primary platform, based on what powers upmarX and Skelbiz today.

Do you offer a one-time infrastructure review?

Yes, standalone infrastructure and security reviews are available outside of a full engagement.

Can you manage our MLOps pipeline ongoing?

Yes, we support both initial setup and ongoing operation of model training and deployment pipelines.

How do we get started?

Reach out through our Contact page describing your use case, current setup, and rough timeline - we'll follow up within one business day with next steps and a clear sense of how Cloud, MLOps & Security fits your situation specifically.

Let's Scope Your Project

Tell us where you're stuck and we'll map out an engagement that fits.

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