Infrastructure · DevOps · AI

Build on infrastructure you can trust.

VLC_logic designs, automates and operates the cloud platforms and AI systems your business depends on — from landing zones and delivery pipelines to models running in production.

Focus
Infrastructure, DevOps, AI
Model
Senior engineers, direct
Engagement
Project or retainer
Coverage
Remote, worldwide
Cloud foundations Platform engineering CI/CD Observability SRE LLM systems

01 / What we do

Three disciplines, one platform.

Infrastructure, delivery and AI are not separate projects. We treat them as one system and keep it running as one.

01

Infrastructure

Cloud foundations, migrations and infrastructure as code. Built to scale, audited for cost and designed to be recovered.

  • Cloud architecture & landing zones
  • Terraform / OpenTofu
  • Migration & cost optimisation
Details
02

DevOps

Delivery pipelines, Kubernetes platforms and observability. The path from commit to production, automated and measured.

  • CI/CD & progressive delivery
  • Kubernetes platforms
  • Observability & SRE
Details
03

AI

Retrieval, agents and model serving with the evaluation and guardrails that make AI systems dependable in production.

  • LLM applications & RAG
  • Evaluation & guardrails
  • MLOps & private deployment
Details

02 / How we work

A method built for production.

Short cycles, written decisions and a handover that leaves your team in control.

  1. 01

    Assess

    We map the current environment, its constraints and its failure modes. Findings are written down, prioritised and agreed with your team.

  2. 02

    Design

    Target architecture, delivery model and a sequenced plan. Every decision comes with its trade-offs and its cost.

  3. 03

    Automate

    Implementation in small, reviewable increments. Infrastructure as code, pipelines as code, and tests that prove both.

  4. 04

    Operate

    Monitoring, runbooks and handover. We stay close during the first weeks of production and leave your team able to run it alone.

03 / Principles

How we make decisions.

The rules we apply when a system is on fire, a deadline moves or a shortcut looks tempting.

  1. Production first

    If it is not monitored, documented and recoverable, it is not finished.

  2. Automation over process

    Every manual step is a future incident. We remove them instead of documenting them.

  3. Security by default

    Least privilege, encrypted transport, managed secrets and auditable changes, from the first commit.

  4. Evidence over opinion

    We measure before and after: cost, deployment frequency, recovery time, incident count.

  5. Your team owns it

    Code, documentation and runbooks are yours. We build so that handover is possible from day one.

Next step

Tell us what you are running.

A short message about your environment and the problem is enough. A senior engineer replies within one business day.