cloudfloo.io
01.0SERVICE

CLOUD SOLUTIONSKubernetes cloud platforms with a rollback plan.

We build Kubernetes platforms on AWS, Azure, and GCP for teams that cannot afford a big-bang migration. Expect discovery, a working proof, progressive traffic shifts, and rollback gates before production load moves.

HOW WE WORK
  1. 01AI workflow pilotTwo weeks, fixed price. Domain map, risks, and a delivery plan.
  2. 02Working sliceOne real workflow shipped end to end.
  3. 03Progressive rolloutTraffic moves in steps; rollback stays ready.
  4. 04HandoffRunbooks, dashboards, and docs your team keeps.
PROOF
4 apps

CloudFloo-owned product and delivery portfolio

IndepAI, HSK WebKD, Hanbud, Kontenero
ENGAGEMENT
AI workflow pilot: a fixed-price, two-week build

Fixed price, quoted before kickoff.

This is an engineering line, not a shelf product: we scope it from a pilot rather than from a wish list. Two weeks, one real workflow shipped end to end, and the architecture map, decision records and working slice stay yours whatever you decide next.

Get a process review
01

What we build

01

Kubernetes architecture & migration

Discovery to proof to cutover, with explicit rollback criteria at every step.

02

Service mesh & gateways

Envoy and Istio-style traffic control for canary, blue/green, auth, policy, and observability.

03

GitOps platforms

Terraform, Helm, Argo CD, pull-requested infrastructure, and cluster state your team can audit.

04

Cloud cost control

Capacity planning, node pools, autoscaling, spot/reservations, and cost guardrails before scale hurts.

02

What we ship

The architecture, the gates, and the cutover, drawn out.

Dark Kubernetes multi-cloud platform with glowing cloud topology and rollback routes
Multi-cloud Kubernetes platform design
Service mesh gateway routes with canary deployment lanes and rollback checkpoints
Migration gates before production traffic moves
Cloud platform routing diagram with deployment lanes across infrastructure nodes
Service mesh routing and progressive cutover
03

Stack in production

The tools we run for this work, and what each one is there to do.

Kubernetes

Runtime for every platform we operate.

AWS

EKS, networking, IAM, and managed data services.

GCP

GKE, networking, and managed data services.

Azure

AKS and integration with Microsoft estates.

Argo CD

GitOps delivery: cluster state lives in pull requests.

Terraform

Infrastructure as code with review and drift detection.

Helm

Versioned, repeatable Kubernetes releases.

Istio

Traffic control for canary, mTLS, and policy.

04

What you get

  1. 01Target architecture, ADRs, threat model, cost model, and migration sequence.
  2. 02Working platform slice with one real workload, one ingress path, one rollback path.
  3. 03Runbooks, dashboards, alerts, and incident paths your operators can use on day one.
  4. 04Handoff sessions for the engineers who will own the platform after we leave.
NEXT STEP

Describe the system that worries you.

Four fields, no call. You get a written process review: what we would change first, which systems it touches, and what the AI workflow pilot would cover. We reply within one business day.

See the case studiesPrefer email? hello@cloudfloo.io

We reply within one business day. No newsletter, no obligation.