June 25, 2025

GCP Cloud Billing with PerfectScale

Ira Chernous
Technical PMM & Documentation Specialist

GCP Cloud Billing is a comprehensive component that helps you track your usage of GCP services and calculate costs based on real-time pricing and actual consumption. It provides accurate insights into your cloud spending, facilitating a precise optimization strategy and helping to achieve greater optimization outcomes by leveraging Google cost management tools as well as third-party solutions such as PerfectScale by DoiT.

“Visibility into Kubernetes spend is key to understanding how resources are being used. Without it, teams struggle to optimize infrastructure and align engineering efforts with business objectives,” said Amichai Lesser, Head of Sales at PerfectScale by DoiT. “Many organizations running on GCP find it hard to see the actual impact of their workloads. This often leads to wasted spend, unclear priorities, and planning based on guesswork rather than real data. Our new integration with GCP Cloud Billing solves this by bringing accurate, real-time cost data directly into PerfectScale, helping teams to reduce inefficiencies, forecast confidently, and align efforts with business outcomes.”

We’re excited to announce the launch of our GCP Cloud Billing integration, which is now available to all PerfectScale customers! This release delivers seamless visibility into your GKE spend and enables precise cost analysis and resource allocation across your services.

Why connect GCP Cloud Billing to PerfectScale?

GCP Cloud Billing provides a detailed view of your Google Kubernetes utilization and associated costs, directly from Google. By connecting it to PerfectScale, you can:

🔍 Get accurate, granular visibility into your GKE expenses

The GCP Cloud Billing integration with PerfectScale gives you a clear, detailed view of your Kubernetes costs, helping you pinpoint exactly which clusters, namespaces, or workloads drive your cloud bill and where optimization opportunities exist.

💸 Precisely fine-tune Kubernetes and reduce cloud spend

With billing data sourced directly from Google, you will receive precise data-driven recommendations, enabling you to proactively enhance cost-efficiency and overcome associated challenges.

🧠 Make impact-aware decisions 

Integrating GCP Billing with PerfectScale brings in accurate, real-time cost data that helps you spot where your resources are going. This enables better prioritization of optimization actions and allows focusing on the areas that will drive the most impact with minimal effort.

Start leveraging GCP Cloud Billing integration

Connecting your GCP Cloud Billing to PerfectScale is quick and easy. It just takes a few simple steps to start bringing in your cost data.

Step 1: Grant PerfectScale the necessary permissions

To connect GCP Cloud Billing with PerfectScale, you'll first need to grant the necessary permissions. This allows PerfectScale to securely access your billing data.

Step 2: Create a GCP Cloud Billing profile

To enable the GCP Cloud Billing integration, you’ll need to provide PerfectScale with the necessary credentials. This allows PerfectScale to securely authenticate and interact with Google Cloud APIs on your behalf. We’ve made an easy-to-follow guide to help you get the info you need and set up your GCP Billing profile. It should only take a few minutes.

Step 3: Connect the profile to your cluster

Once you’ve set up your GCP Billing profile, you can easily link it to the cluster or clusters you want. PerfectScale will then start pulling in cost data, which it uses to provide insights for analysis and optimization.

That’s it! After the setup, cost insights will begin flowing into PerfectScale shortly.

Curious to explore more or need assistance getting started? Dive into our documentation for all the details, or schedule a technical session with our team - we're here to help!

Not using PerfectScale by DoiT yet? Try it free and see it in action!

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GCP Cloud Billing integration provides clear insights into Kubernetes costs, driving better control and accurate data-backed optimization.
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