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DevOps, SRE and AI platform services

Valfort Tech offers eight engineering services in four groups. Ship covers DevOps and cloud. Run covers SRE and AIOps. Scale AI covers MLOps and LLMOps. Embed covers forward deployed engineering and go-to-market DevOps. Every engagement starts read-only and ends with a documented handover.

Book a 30-minute call Or start with the readiness sprint

Four groups, eight services

Pick the group that matches what is hurting now. Each service links to how we run it, what we deliver and what it typically changes.

Ship

Get changes to production safely, on a cloud bill that makes sense.

DevOps

Deploys are manual and scary, and one person holds all the infrastructure knowledge.

  • Five-day audit with a scored report
  • CI/CD with automatic rollback
  • Infrastructure as code in Terraform
  • Monitoring, alerts and runbooks

Weekly releases become daily ones.

How we approach DevOps

Cloud

The cloud bill grows faster than revenue, and Kubernetes has become a second job.

  • Cost audit with savings in dollars
  • Tagging, so every cost has an owner
  • Zero-downtime migrations
  • A production Kubernetes platform

Bills typically drop 20–40%.

How we approach Cloud

Run

Stay up, and let your engineers sleep.

SRE

Customers spot outages before you do.

  • SLOs and error budgets
  • OpenTelemetry dashboards
  • Incident process and postmortems

Pages typically fall 50–80%.

How we approach SRE

AIOps

Thousands of alerts a week, a handful that matter.

  • Alert-noise audit
  • AI SRE agent pilot on past incidents
  • Remediation behind human approval

Alert noise typically falls 70–90%.

How we approach AIOps

Scale AI

Take models and LLM apps from demo to production.

MLOps

Models wait months for a path to production.

  • Training pipelines and model registry
  • Canary releases and rollback
  • Drift monitoring and GPU scheduling

Model releases go from months to days.

How we approach MLOps

LLMOps

A prompt change quietly breaks other answers.

  • Evals that gate every deploy
  • Tracing and cost dashboards
  • Guardrails and PII redaction

Inference costs typically fall 40–70%.

How we approach LLMOps

Embed

Make your product deployable at your customers, and pass their security review.

Forward deployed engineering

Your product closes deals, but every enterprise integration takes months.

  • Senior engineers inside your team, or your customer's
  • SSO, data warehouse and private-cloud installs
  • A documented handover, so you never depend on us

First integration live in 10–14 days.

How we approach Forward deployed engineering

Go-to-market DevOps

A 200-question security questionnaire is stalling your first enterprise deal.

  • SOC 2-ready AWS or GCP baseline
  • Evidence wired into Vanta or Drata
  • Launch load test and AWS Marketplace listing

Audit-ready in 4–8 weeks.

How we approach Go-to-market DevOps

Results are typical ranges, not promises. We measure your own baseline in the first week.

Start with a 10-day readiness sprint.

One fixed price, read-only access, all four areas. You get a scored report, a ranked 90-day roadmap and one fix shipped to production before we leave.

$3,500fixed, credited to any follow-on work

If we don't find at least three times the fee in savings or avoided risk, the sprint is free.

Book the sprint What the sprint covers
Day 0
A 30-minute callWe agree on scope, access and the two or three things keeping you up.
Days 1–2
Read-only accessCloud accounts, pipelines, dashboards and short interviews with your engineers.
Days 3–8
Assessment and one fixWe score Ship, Run, Scale AI and Embed, and ship the highest-value fix we find.
Day 10
ReadoutScored report, ranked roadmap, and cost and risk figures in dollars.
After
Your callA build sprint, a retainer, or nothing. Plenty of teams run the roadmap themselves.