Cloudlink
Deploy-aware FinOps for teams shipping on AWS, Azure, GCP, and Kubernetes.

Deploy-aware cloud costintelligence for modern teams.

Cloudlink Global helps engineering teams catch regressions, stop idle environments, and explain every spike back to the deploy, service, or resource that caused it before the monthly bill turns into a surprise.

Detection window
Under 2 hours
Coverage
AWS, Azure, GCP, Kubernetes
Commercial model
15% of verified savings
payments-service · daily costRegression detected
Verified savings
+$2,340 this month
Deploy impact
+#a3f9b2 → +$847/mo

Built for teams operating across cloud, CI, and incident response.

AWS
Azure
GCP
Kubernetes
GitHub
Slack
Terraform
Datadog

Why teams buy

Your team ships quickly. The cloud bill reacts later.

Most platforms help you inspect spend after the fact. Cloudlink is built to help operators understand change while there is still time to act.

The bill arrives weeks after the deploy

By the time Cost Explorer shows you the damage, the regression has already been draining budget for days.

Traditional tools show what changed, not why

Finance sees a number move. Engineering still has to reconstruct the service, deploy, and owner behind it.

Idle waste compounds quietly

Forgotten staging clusters, oversized databases, and overprovisioned compute keep burning cash until someone notices.

How it works

Three steps. Zero guesswork.

01

Connect your cloud

Use a read-only role to bring AWS, Azure, or GCP cost and resource data into one operator-grade surface.

02

Establish your baseline

Cloudlink builds service-level baselines so you can see what changed and which deploy or resource caused it.

03

Act before the bill lands

Catch regressions, stop idle environments, and turn verified savings into operating leverage for the team.

Platform overview

A cloud cost control plane designed for engineering teams.

Monitor, explain, and act on cost changes from one place without bolting together dashboards, spreadsheets, and incident chat.

Core feature

Deploy-linked regression detection

Connect spend changes to the exact deploy, service, and time window responsible so engineering can respond immediately.

Automation

Auto-remediation with approval controls

Generate operator-ready actions for idle environments, overprovisioned resources, and waste patterns before they become finance escalations.

Operations

AutoStopping for non-production

Schedule idle dev and staging resources to power down automatically while preserving restart paths for engineers.

Governance

Budget guardrails and approvals

Turn budget policy into action with thresholds, approval flows, and explicit operator controls.

Analytics

Unit economics and service cost views

Break spend down by service, resource type, action, or workflow so teams see where savings actually come from.

Developer workflow

AI and MCP integrations

Ask cost questions from the tools your engineers already use and tie answers back to Cloudlink’s verified data.

Savings model

Estimate the savings case in under a minute.

Adjust monthly cloud spend and see how Cloudlink’s verified-savings model could translate into retained budget.

Current input
$50,000
$1,000$500,000

Assumes 20% addressable waste and Cloudlink’s 15% verified-savings fee.

Estimated waste
$10,000
Recoverable savings
$8,500
Cloudlink fee
$1,275
Your retained savings
$7,225
What this means

If Cloudlink validates this level of savings, your team keeps roughly $7,225 per month after fees.

Connect your cloud

Integrations

Cloudlink fits into the systems your team already runs.

AWS
Azure
GCP
Kubernetes
GitHub
Slack
Terraform
Datadog
PagerDuty
Linear
Vercel
Claude

Customer perspective

Built for operators who need defensible answers fast.

The strongest value signal in Cloudlink is not the chart. It is the speed at which teams can explain, validate, and act on a cloud cost event.

Cloudlink is the first surface we’ve used that helps finance and engineering look at the same cost event and agree on what changed.

VP
VP Engineering
Series B fintech, Payments infrastructure

The product feels operational, not just analytical. We can see a deploy-driven spike and decide what to do next without opening five tabs.

PL
Platform Lead
Developer tools company, Engineering productivity

The value isn’t just cost visibility. It’s getting to a defensible explanation quickly enough that the team can actually respond.

CT
CTO
AI infrastructure company, Model serving platform

Ready to evaluate

Stop paying for cost changes nobody can explain.

Connect your cloud, establish a baseline, and let your team see which deploys, services, and environments actually move spend.