Cloud cost optimization that starts with your cloud bill

A cloud consultant decides how a product should run on a cloud provider and then builds it: the account and network layout, the compute and database services, identity and secrets, infrastructure as code, the release path, and a review of what each part costs. At Clouditive every resource lives in code with a plan you read before it applies, and a change that would destroy something stops first.

Yes, on all three. The Cloud Cost Review reads an AWS, Google Cloud or Azure bill the same way. Our published cases run on AWS EKS and on Google Cloud.

Not a published one yet. We work on Azure the same way we work on AWS and Google Cloud: infrastructure as code, a plan read before every apply, and releases that deploy the exact tested build.

Five things, for USD 2,500 at a fixed price, in 1 week:

• A complete backlog of the changes, so your team knows what to fix and can start.
• A FinOps report that shows which areas to optimize and what to improve in each.
• A clear picture of the state of all your resources: what is running and how it is set up.
• The places where you are spending more than you need to.
• The places where you are at the limit and need to configure better, named one by one.

You choose. Your team can take the backlog and make the changes, or we do. We make them in 2-week fixed-price packages with no minimum: CI/CD & IaC is USD 4,000 and works in your infrastructure code. Engineers by the hour are the other route, with a 6-month minimum.

• CI/CD and IaC in 2 weeks

The Cloud Cost Review is USD 2,500 for 1 week. Discovery is USD 7,000 for 1 to 4 weeks and ends with a roadmap. CI/CD & IaC is USD 4,000 for 2 weeks. By the hour, a Senior engineer is USD 45–⁠50 and a Lead or Architect USD 55–⁠60.

OpenTofu and Terraform with encrypted state, Atlantis for plan review and Crossplane for self-service infrastructure on Kubernetes.

We start by attributing every line of the bill. We don't promise a percentage before reading it. The Cloud Cost Review, USD 2,500 for 1 week, shows where you are spending more than you need to.

Attribute every line to a service or a team before changing anything. Then act where the money is: workloads sized above their historical peaks, tools billed per volume that open-source alternatives can replace, and environments nobody uses.

One data point: at a US transportation services company, moving metrics and logs off a commercial APM to open-source observability lowered observability spend by about USD 5,000 a month. The figure is organization-wide, and the team grew in the same period, so it is not a result we claim alone. A case is one client's result, not a promise. A saving shows up on the invoice or it isn't one, so we measure it there.

• Read the transportation platform engineering case
• OpenTelemetry and Grafana consulting

No. We work in your business hours and leave alerts and runbooks so your own on-call can resolve incidents.

You do. Engineers use your own accounts and identities with SSO and MFA, least privilege, revoked at exit, and all code is yours from day 1.

100% in English or Spanish, whichever your team uses. Our engineers are in LATAM, between UTC−3 and UTC−5.

For a fintech portfolio-analytics SaaS platform we run platform engineering on AWS EKS, with dev and production in separate accounts. Infrastructure goes through Terraform and OpenTofu with Atlantis, and a move to Crossplane runs as zero-downtime cutovers, each with a rollback.

Releases promote through Argo CD and Kargo with automatic checks, and the cost figures in the developer portal come straight from the cloud billing API.

• Read the fintech release pipeline case

For an AI marketing platform we built from zero, the whole Google Cloud setup is OpenTofu: Cloud Run services and jobs, Cloud SQL Postgres with a private IP, Cloud Storage, a global load balancer with Cloud Armor, KMS, workload identity and Secret Manager.

A BigQuery billing ledger and a per-call cost ledger show what each part of the product costs. Releases are tag-driven, migrate the database and deploy by image digest.

• Read the AI marketing platform case

Write the target in infrastructure as code first, so every create, change and destroy shows up in a plan before anything moves. Then move one service at a time, each step with a cutover you can reverse and a check that proves the new path works. We ran infrastructure moves this way on a fintech platform, as zero-downtime cutovers with a rollback for each. Discovery ends with that sequence in the roadmap.

We don't publish a cloud-to-cloud migration case yet. What we publish is the method and the infrastructure work behind it.

• Cloud migration services
• Discovery: a roadmap you can price

Add a cloud or platform engineer to your team at our published rates (Senior USD 45–⁠50 an hour, 6-month minimum for hourly teams), or hire an architect 20 hours a week for USD 4,480 a month.

• Add cloud engineers to your team
• An architect 20 hours a week
• DevOps consulting