Cloud Cost Optimization
Finitier Workload Optimization Engine
- Stop Losing 28–40% of Your Cloud Budget to Waste
- The average enterprise wastes $2.4M every year on unused cloud resources.
McKinsey estimates over $150B in cloud savings remain uncaptured—while waste grows 29% annually. - Finitizer is the leading Workload Optimization Engine for Google Cloud.
We don’t just expose waste—we quantify it, prioritize it, and help you eliminate it with precision. - Insights alone don’t save money. Action does.
Finitizer delivers both. The FinOps Workload Optimization Engine That Turns Insight Into Action
The Cloud Cost Problem
78% of enterprises waste 28–50% of their cloud spend. Without optimization, idle compute, oversized BigQuery slots, premium storage, and unclaimed commitments quietly drain your budget. Unexplained spikes appear, cloud bills lack clarity, and engineering teams scramble with no answers—while ~35% of your spend is wasted. Most tools stop at dashboards, offering reports instead of real results.
The Finitizer Solution
Finitizer’s AI-powered FinOps Workload Optimization platform automatically identifies, quantifies, and eliminates cloud waste—no manual investigation or spreadsheets required. It delivers actionable recommendations across all major GCP services, prioritizes savings opportunities, prescribes exact optimization actions with ROI, and accelerates execution through automation and guardrails. First insight in 60 minutes, first action the same day.
The Result
The Finitizer Triple Guarantee delivers fast, measurable value: 60-minute insights, 100× ROI, and results within 90 days. Unlike dashboards that show data but no solutions, Finitizer provides prescriptive actions to eliminate waste across all cloud services. For a $1M/month cloud budget, wasted spend can reach $11,500 per day and over $4.2M per year. Stop the leak—start your free assessment now.
Finitizer Provides Comprehensive Cloud Cost Optimization Tools
| Service | OPTIMIZATION FOCUS |
|---|---|
| BigQuery | Slot management, commitments, query patterns, project insights |
| BigTable | Cluster rightsizing, storage optimization, autoscaling |
| Cloud SQL | Instance rightsizing, idle detection, CUD recommendations |
| Compute Engine | VM rightsizing, Spot VMs, instance optimization |
| Persistent Disk | Unattached disks, snapshot cleanup, over-provisioned storage |
| Cloud Storage | Lifecycle policies, Autoclass, storage class optimization |
| Dataflow | Zombie pipelines, rightsizing, reliability issues |
| Dataproc | Cluster optimization, idle detection |
| Networking | Egress costs, connectivity optimization |
| Pub/Sub | Subscription cleanup, message retention |
| Serverless | Cloud Run & Cloud Functions cost insights |
| CUDS & SUDS | Commitment discount coverage, license optimization |
| Cost Anomalies | Spike detection, budget alerts, variance analysis |
| Non-Prod Scheduling | Idle environment shutdown, weekend scaling |
FinOps – Insights – Analytics and Reporting
FinOps reporting entails consolidating and visualizing billing and licensing data across multi-cloud environments, ensuring accurate and detailed insights.