GCP Cost Monitoring
See your Google Cloud spend alongside every other cloud you run, inside a single unified cost view, with full confidence in tracking accuracy regardless of how complex or fragmented your GCP environment is.
Technology / Google Cloud
Cloud Cost Optimization Solutions for Google Cloud Platform
Get complete visibility into every dollar of GCP spend, allocated automatically - no manual tagging, no relabeling resources, no guesswork.
Allocation, without taggingZero-agent
BigQuery
Query volume & data scanned
GKE clusters
Node pool idle capacity
CUDs & SUDs
Commitment coverage tracking
100% of GCP spend allocated by team, environment, or region - without relabeling a single resource.
Read-only IAM roles
No manual tagging
Costguard recommendations
Zolix's Google Cloud Solution
A single, allocated view of GCP spend
100% Cost Allocation, Without Manual Tagging
Where most platforms require you to manually tag every resource to get accurate allocation, Zolix's zero-agent detection engine reads usage patterns directly and allocates spend by team, environment, or region automatically - without relabeling a single original resource.
GCP Cost Governance
Financial planning and anomaly detection built specifically for GCP, giving you the insights needed to control cloud costs, maintain accountability across teams, and keep spend optimized as your environment scales.
GCP FinOps Dashboards & Reporting
Build custom dashboards with cost, usage, budget, and waste widgets tailored to any team or use case across your organization. Monitor GCP services and make infrastructure decisions based on current data, not a monthly export.
GCP Saving Recommendations, Powered by Costguard
Zolix's Costguard engine identifies savings through rightsizing, idle resource detection, and commitment recommendations - centralizing every optimization opportunity across tags, teams, and environments, so savings start showing up from the first week.
Built for the Way GCP Actually Prices Things
Google Cloud's pricing model has its own set of levers that don't map directly onto how AWS or Azure price compute - and a generic cost tool built primarily for one of those platforms tends to miss what matters most on GCP.
GCP cost intelligencePhoto licensed via Unsplash
Committed Use Discounts (CUDs)
GCP's version of a reserved-capacity discount - commit to a usage level for one or three years and save significantly compared to on-demand. Zolix tracks your current CUD coverage against real usage and flags where additional commitment would pay off, the same way it evaluates Savings Plans on AWS.
BigQuery Cost Optimization
For most GCP-heavy organizations, BigQuery is one of the largest and least predictable line items on the bill - driven by query volume and data scanned rather than a fixed instance size. Zolix tracks BigQuery spend separately and flags queries or datasets driving disproportionate cost.
GKE Idle Capacity Detection
Google Kubernetes Engine clusters frequently run with node pools sized for peak load that sit underutilized the rest of the time. Zolix identifies idle GKE capacity and flags rightsizing opportunities at the node pool level, not just the cluster level.
Sustained Use Discount Visibility
GCP automatically applies Sustained Use Discounts based on how long a resource runs within a billing month - but most teams have no visibility into how much of that discount they're actually capturing. Zolix surfaces this automatically.
Ready to Bring This Level of Control to Your GCP Spend?
What teams see after connecting GCP to Zolix
100% Allocation
Accuracy - every dollar of GCP spend mapped to a team, environment, or region, without manual tagging overhead.
24 Hours
to a first cost visibility report across every connected GCP project.
Zero Agents
Zero write access - Zolix connects through read-only IAM roles, following Google Cloud's own recommended security practices.
FAQ
No. Zolix's zero-agent detection engine reads usage patterns directly and allocates spend automatically, without requiring resources to be relabeled or manually tagged.
Yes. CUD coverage is compared against actual usage, with recommendations on where additional commitment would reduce cost.
Yes. BigQuery cost is tracked separately from general compute, with flags on queries and datasets driving disproportionate spend.
Yes. Idle capacity is identified at the node pool level, not just the overall cluster, so rightsizing recommendations are specific enough to act on.
No. Zolix connects through read-only IAM roles, following Google Cloud's recommended security practices, with no write access required at any point.
Most teams receive a first cost visibility report within 24 hours of connecting a GCP project.
Struggling to Adopt FinOps for Your GCP Environment?
Start managing and reducing GCP spend without adding a single line of code, relabeling a resource, or granting write access.