Trusted by teams running serious workloads on Google Cloud
Connect in minutes
One service account. Full Google Cloud visibility.
Connect your Google Cloud billing account with a read-only service account and point DoiT at your detailed billing export in BigQuery. We ingest usage, pricing, and SKU data automatically. No agents, no code changes, no extra pipelines. You're looking at unified reports within hours of connecting.
What you get
Built for the realities of running on Google Cloud
The things FinOps and engineering leaders actually ask us for when they connect their Google Cloud environment.
Unified cost reporting
Slice Google Cloud spend by project, folder, label, SKU, or team without wrangling BigQuery exports yourself.
Real-time anomalies
Get alerted on billing spikes across projects and SKUs in minutes, not hours.
Rightsizing recommendations
Actionable Compute Engine, GKE, and Cloud SQL savings with one-click implementation.
CUD and SUD coverage
Track committed use discount utilization and sustained use savings across projects.
Network cost visibility
Untangle egress, inter-region, and Cloud NAT charges that quietly inflate your bill.
Governance and budgets
Set policies and budgets per project or team without chasing label hygiene.
The native billing reports tell you what happened. Cloud Intelligence™ helps you do something about it.
Beyond the Google Cloud billing console
Multi-project rollups
Consolidated views across your entire Google Cloud organization, with drilldown into any folder or project.
Real-time anomaly alerts
Machine-learning detection on SKU, project, and label dimensions, routed to Slack or email.
Commitment planning
Model CUD purchases against actual usage patterns before you commit a dollar.
Label and allocation hygiene
Find unlabeled spend, enforce allocation rules, and split shared costs the way finance expects.
Kubernetes cost allocation
Break down GKE spend by namespace, workload, and label without extra exporters.
Forward Deployed Engineers
World-class cloud architects who work as an extension of your team to implement optimizations.
Attribute + Google Cloud
Attribute Google Cloud and Vertex AI costs at runtime
Attribute covers GKE and Compute Engine while reading Vertex AI usage identifiers directly from API traffic, connecting infrastructure and AI spend to workloads and customers. Best for: Teams on Google Cloud that need unified infrastructure and AI cost attribution without depending on billing exports or labels.
GKE and Compute Engine
Attribute runtime costs across Kubernetes and virtual machines.
Shared-project allocation
Apply proportional attribution inside shared Google Cloud projects.
Vertex AI model costs
Break model spend down by calling workload and downstream customer.
No label dependency
Read Vertex AI usage identifiers directly from runtime API traffic.
Google Cloud anomalies
Detect unusual infrastructure and AI spend as it develops.
Cross-cloud AI visibility
View Vertex AI spend alongside AI costs from AWS and Azure.
Fast-growing companies run on Cloud Intelligence™
Avg. savings within first 90 days
Avg implementation time
“DoiT's focus on reliability, mixed with the system's flexibility, helps us safely optimize our Amazon EKS workloads with zero-touch from our engineers.”
Oren Ashkenazy
Director of DevOps and Cloud at Fiverr
Ready to connect your Google Cloud environment?
Put your Google Cloud projects under one lens.
Frequently asked
questions
How do I get better visibility into Google Cloud costs across multiple projects?
Connect your Google Cloud billing account once. Cloud Intelligence™ ingests the detailed billing export for every project and folder, so you can slice costs by project, label, SKU, or team from a single view. No spreadsheets, no manual rollups.
What's the best way to integrate Google Cloud billing data with Cloud Intelligence™?
Use a read-only service account with access to your BigQuery detailed billing export. DoiT handles ingestion, normalization, and hourly-granularity reporting. Most teams are live within a day.
How can I see which Google Cloud services or resources drive most of my spend?
Cost & Usage reports let you drill from top-level spend down to a specific GCE instance, GCS bucket, BigQuery job, or Cloud SQL database. You can filter by labels, projects, regions, or SKUs without writing SQL against the billing export.
How can I monitor Google Cloud cost anomalies in real-time?
Anomaly detection runs continuously across SKUs, projects, and label dimensions. When something looks off, you get a Slack or email alert with the likely cause, long before the spend becomes a real problem.
How can I ensure optimal coverage of Committed Use Discounts?
PerfectScale for Commitments tracks CUD utilization in real time, models resource-based and spend-based commitments, and helps you execute new purchases against your actual usage patterns.
How can I get better visibility into Google Cloud networking costs?
Egress, inter-region, and Cloud NAT charges are notoriously opaque. Cloud Intelligence™ breaks them down by source, destination, and workload so you can actually tell which service is generating the traffic.
How is Cloud Intelligence™ different from the Google Cloud billing console?
The native console is a reporting tool. Cloud Intelligence™ is a platform: multi-cloud visibility, proactive recommendations, real-time anomaly detection, governance, commitment planning, and access to forward deployed engineers who help you act on what the data shows.
Is my data secure when I connect my Google Cloud account?
Cloud Intelligence™ uses a read-only service account with least-privilege IAM permissions. We never move workloads or make changes without your approval, and the platform is SOC 2 Type II certified.