On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
Watch moreGoogle Cloud
Every Google Cloud dollar has an owner. Tags optional.
Tagging tracks less than half of cloud spend. Cloud Intelligence™ reads your Cloud Billing export, then reads runtime traffic to put shared GKE clusters, Cloud SQL, Cloud NAT and egress on the team, customer or feature that used them.
Read-only service account · BigQuery billing export · Data within 4 hours of Google Cloud
Google Cloud · October$968,140
Reachable by tags43%
With Cloud Intelligence™100%
TagsVirtual tagsRuntime
Unallocated$0
Cost to serve · by customerCustomerServiceTeam
ACME Corp via GKE, Cloud SQL$162,648
Northwind via GKE, Vertex AI$122,954
Halcyon via Cloud SQL, GKE$91,005
Globex via GKE$68,738
Initech via Vertex AI, Cloud SQL$50,343
+ 1,276 more customersRead from customer IDs in traffic. No tag can see this.
you can't label your way to 100%
Labels stop at the shared stuff. We don't.
Shared GKE clusters, Cloud SQL, Cloud NAT and inter-zone egress have no clean labeling surface. Cloud Intelligence™ reads runtime traffic and allocates every dollar by what actually happened. Your existing labels still count, as one more signal.
See how runtime attribution worksWhat the bill contains · where tags reach
Compute (tagged)
Tag
Managed DBs
Partial
Shared Kubernetes
Runtime
Network, NAT, egress
Runtime
Kafka, queues, caches
Runtime
LLM tokens, GPUs
Runtime
Self-managed on Compute Engine
Runtime
Reachable by tags
43%
Reachable by Cloud Intelligence™
100%
committed use discounts, laddered
Commitment savings. Without the big bet.
PerfectScale for Commitments counts the CUDs you already have, then buys spend-based CUDs in small steps that track your usage, inside guardrails you set.
Google Cloud · CUDs · last 90 days
Effective Savings Rate
29.6%
▲ 6 pts this quarter
Coverage
80%
Utilization
98.8%
CommittedHourly usage
Purchase schedule · laddered
Compute Engine CUDOct 1 · $9/hr · 1 yrExecuted
Cloud SQL CUD · us-central1Oct 15 · $2.4/hr · 1 yrApproved
BigQuery Editions CUDNov 1 · $4/hr · 1 yrAwaiting approval
Next step, if usage holdsNov 15 · sized at the timePlanned
Each step is checked against fresh hourly usage before it executes.
everything in your google cloud bill
One Google Cloud view, from bill to fix
Cost & Usage reports
Drill from total spend to a single SKU, by project, service, region or label.
Anomalies in near real time
Compute Engine and BigQuery spikes caught from audit logs and jobs, before the bill.
Insights
Our own checks plus Google Cloud Recommender and BigQuery audit log findings.
GKE Intelligence
Cluster, namespace and workload cost, with utilization.
Cloud Diagrams
Your Google Cloud architecture, drawn and priced automatically.
Budgets, alerts and CloudFlow
Guardrails and automations on the same numbers.
set up in minutes
Connect Google Cloud in three steps
1
Connect your billing export.
Enable detailed usage cost export to BigQuery, then grant our service account read access.
2
Add the sensor.
One Helm install on GKE, Autopilot included. About 15 minutes.
3
Every dollar gets an owner.
Shared and unlabeled spend allocated by real usage.
Read-only access. Connect an organization, project or dataset for advanced features.
Start freeWhat they say
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Read more
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
Read more
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
Watch more
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Read more
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
Read more
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Watch more
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Read moreFrequently asked
questions
How does Cloud Intelligence™ connect to Google Cloud?
Through your Cloud Billing detailed usage cost export to BigQuery. You grant our service account Billing Account Viewer on the billing account and read access to the dataset. Advanced features connect a service account at the organization, project or dataset level.
How fresh is the data?
Billing data is available less than four hours after Google Cloud publishes it, and Cloud Analytics refreshes it every hour. Near real-time anomaly detection reads Compute Engine audit logs and BigQuery jobs, so spikes show up before they reach the bill.
Can I allocate Google Cloud costs without labels?
Yes. The runtime sensor reads traffic to assign shared GKE clusters, databases and network to the team, customer or feature that used them. Your labels and project labels are still ingested.
Where does the sensor run?
On GKE clusters as a Helm chart, including Autopilot, where it is certified. It is read-only and built on eBPF.
Do you manage committed use discounts?
Yes. PerfectScale for Commitments takes your existing CUDs into account, then recommends and can buy spend-based CUDs in small laddered steps, with optional approval before each purchase.
Do I need to buy Google Cloud through you?
No. You can connect Google Cloud Billing accounts you buy from anyone. Standalone accounts need an Enhanced or Enterprise plan.
Connect Google Cloud. Find the owner of every dollar.
Free to start. Read-only. Set up in minutes.