Cloud Infrastructure & DevOps
Multi-cloud architecture design and Kubernetes orchestration with infrastructure as code and comprehensive monitoring. We design the landing zone, build the platform, and hand your team a system that scales without becoming unmanageable.
Does anyone actually know what's running in your cloud accounts, and why?
Accounts multiply, network rules accumulate with no owner, and every deploy is a manual ritual only one engineer remembers. Cost climbs faster than usage, and incidents take hours to diagnose because there's no consistent logging or tracing across services — not because your engineers are bad, but because infrastructure grew organically without a platform strategy behind it.
What we target
These are the outcomes we scope every engagement against — targets we commit to in writing, not results we're claiming to have already delivered for you.
Overview
Teams that started with a handful of manually clicked resources in a single AWS or Azure account eventually hit a wall: accounts multiply, network rules accumulate with no owner, Kubernetes clusters run mixed workloads with no isolation, and every deploy is a manual, undocumented ritual performed by the one engineer who remembers the steps. Cost climbs faster than usage. Incidents take hours to diagnose because there is no consistent logging or tracing across services. None of this is caused by bad engineers — it is what happens when infrastructure grows organically without a platform strategy behind it.
This service is for engineering teams and IT leaders who need their cloud footprint to be predictable: reproducible from code, observable end to end, and priced in line with actual usage rather than habit. That includes startups standing up their first proper landing zone, scale-ups migrating off a tangle of manually managed VMs, and enterprises consolidating multiple cloud accounts under a governed structure.
QTK-Cloud designs the account and network topology, builds the Kubernetes platform and the infrastructure-as-code that provisions it, wires up GitOps delivery so changes ship through pull requests rather than console clicks, and stands up the observability and backup practices needed to operate the platform with confidence. We work in your cloud accounts under your organization's controls — we do not ask you to hand over ownership of your infrastructure.
What changes for the client: infrastructure changes go through version control and code review instead of tribal knowledge, autoscaling responds to real demand instead of a fixed server count, monthly cloud spend has an owner and a trend line instead of a surprise invoice, and when something breaks at 2am, dashboards and traces tell the on-call engineer where to look instead of forcing them to guess.
What's included
AWS, Azure & GCP expertise
Landing-zone design, account and subscription structure, IAM boundaries, and network topology — VPC/VNet layout, private subnets, egress control, and peering or transit gateway connectivity between environments.
Kubernetes management
Cluster design covering node pool separation, autoscaling with HPA, VPA and the Cluster Autoscaler, ingress configuration, and a service mesh only where the traffic patterns actually justify the added complexity.
Terraform & Ansible IaC
Reusable Terraform modules with remote state and locking, drift detection so manual changes get caught, and Ansible for configuration management on anything that isn't fully containerized.
GitOps delivery
Argo CD or Flux reconciling cluster state from a Git repository, so every change to a running workload has a commit, an author, and a rollback path.
Observability & SRE
Metrics, logs, and traces wired into one stack with SLOs and error budgets defined per service — so dashboards answer "is this healthy" instead of just displaying numbers.
Cost optimization & FinOps
Right-sizing, spot or preemptible capacity for tolerant workloads, committed-use discounts where usage is stable, and tagging with showback so every team can see what it costs.
Who this is for
You're standing up your first proper landing zone
You've outgrown a handful of manually clicked resources in a single account and need a governed structure from the start.
You're migrating off a tangle of manually managed VMs
Every deploy is a manual, undocumented ritual, and scaling means clicking to add another server.
You're consolidating multiple cloud accounts under governance
Accounts and subscriptions multiplied over time with no consistent IAM boundaries or network topology between them.
Monthly cloud spend has no owner or trend line
The invoice arrives as a surprise each month instead of tracking against a forecast anyone can explain.
On-call engineers guess during incidents instead of reading a dashboard
There's no consistent observability stack, so diagnosing a 2am incident means digging through logs with no clear starting point.
How we work
- 1
Discovery
We audit existing accounts, networks, and workloads, and interview the team that operates them. You receive a current-state architecture diagram and a gap list against your reliability and compliance goals.
- 2
Design
We propose the target landing zone, network topology, and Kubernetes cluster layout, sized to your workloads. You receive an architecture decision record with the tradeoffs behind every major choice.
- 3
Build
We write the Terraform modules and Ansible playbooks, stand up the clusters, and wire in GitOps delivery. You receive a working repository with CI checks, code review requirements, and documented module usage.
- 4
Validate
We load-test autoscaling behavior, run a failover and backup-restore drill, and confirm dashboards and alerts fire correctly. You receive a validation report with recorded RTO/RPO figures against the targets we agreed.
- 5
Handover & run
We walk your team through the platform, hand over runbooks and an incident-response guide, and either exit cleanly or continue on a support retainer. You receive full ownership of every repository and credential.
Not sure this is the right fit yet?
A scoping call costs nothing and tells you exactly where your pipeline stands — no commitment either way.
Tech stack
We standardize on tools with active communities and clear upgrade paths rather than chasing every new entrant, so what we build stays supportable by your team after handover.
Tools by layer
| Layer | Tools we use |
|---|---|
| Network | VPC/VNet design, Cilium (CNI & network policy), private subnets, transit gateway / VNet peering |
| Compute | Kubernetes (EKS, AKS, GKE), Docker, managed node pools with HPA/VPA/Cluster Autoscaler |
| IaC | Terraform (modules + remote state), Ansible, HashiCorp Vault for secrets |
| Delivery | Argo CD, Flux, Helm charts, GitOps repository structure |
| Observability | Prometheus, Grafana, Loki, OpenTelemetry, Tempo/Jaeger for tracing |
| Backup | Velero for cluster/volume backups, cross-region snapshots, tested restore runbooks |
Deliverables & outcomes
- Landing-zone and account/subscription architecture document
- Network topology diagram with VPC/subnet and peering layout
- Terraform module repository with remote state and drift detection configured
- Ansible playbooks for non-containerized configuration management
- GitOps delivery repository (Argo CD or Flux) with environment promotion flow
- Observability stack (metrics, logs, traces) with SLO and error-budget definitions
- Disaster-recovery runbook with tested backup/restore procedure
- Cost and tagging report with FinOps recommendations
Engagement models
How the work runs, independent of what it costs — pick the model, then see what it looks like at each pricing tier below.
Fixed-scope platform build
We design and build the landing zone, Kubernetes platform, and IaC as a scoped project with a defined handover point.
Best for: Teams ready to take over operation once the platform is built.
Ongoing retainer
We continue operating and evolving the platform — FinOps review, DR drills, on-call support — after the initial build.
Best for: Teams that want a named platform engineer without hiring one.
Embedded alongside your team
An engineer works inside your existing team, pairing on Terraform modules, GitOps delivery, and observability as the platform gets built.
Best for: Teams building internal platform capability who want the knowledge transfer built in from day one.
Pricing tiers
| Plan | What this service looks like |
|---|---|
| Starter — $299/mo | Single-cloud landing zone, one Kubernetes cluster, core Terraform modules, basic Prometheus/Grafana monitoring. |
| Professional — $1,499/mo | Multi-account or multi-cloud setup, GitOps delivery, full observability stack with SLOs, quarterly DR drills, ongoing FinOps review. |
| Enterprise — Custom | Multiple clusters across regions, service mesh where warranted, dedicated on-call support, custom compliance alignment, and a named platform engineer. |
Scoping calls are free. Before any work starts, we confirm the exact scope, timeline, and price in writing so there are no surprises once the engagement begins.
Frequently asked questions
How long does a typical landing-zone build take?
A single-cloud landing zone with one Kubernetes cluster usually takes 2–4 weeks from discovery to handover. Multi-cloud or multi-account setups with GitOps and full observability typically run 4–6 weeks. Migration projects depend on the number and complexity of workloads being moved.
Who owns the code and infrastructure we build?
You do. All Terraform, Ansible, and GitOps repositories are created in your version control organization from day one, and all cloud resources are provisioned in your own AWS, Azure, or GCP accounts. There is no vendor lock-in to us.
What access do you need to get started?
Scoped, time-limited IAM roles into the relevant cloud accounts and read access to any existing infrastructure code or diagrams. We do not need root or organization-owner credentials, and access can be revoked at any point.
Can we keep tooling we already use?
Yes, where it's actively maintained and fits the target architecture. If you already run Terraform, Argo CD, or Prometheus, we build on top of what exists rather than replacing it for its own sake. We'll flag anything that's a genuine risk to reliability or cost.
What happens if there's an incident after handover?
You get an incident-response runbook and documented escalation paths as part of handover. Starter and Professional clients can add incident support hours; Enterprise engagements include a defined on-call arrangement with agreed response times.
How does the migration path get decided — lift-and-shift or replatform?
Lift-and-shift makes sense under time pressure or when workloads are stable and containerizing them isn't worth the effort yet — we move VMs largely as-is and modernize later. Replatforming to Kubernetes and managed services fits workloads that need autoscaling, better resilience, or lower operational overhead long-term. We recommend the path during discovery based on your workloads and timeline, not by default.
Ready to talk about your project?
Tell us where things stand today and where you need them to be — scoping calls are free.
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