Drop Your AWS CUR, GCP Billing Export, or Azure Cost CSV / JSON / JSONL
Auto-detects AWS Cost & Usage Report (1.0/2.0), Google Cloud BigQuery Billing Export, or Azure Cost Management (up to 25 MB).
Exploring built-in 30-day sample bill. Drop your own CSV/JSON/JSONL export anytime.
Scale the active cloud preset to match your organization's monthly cloud bill:
How to export your billing CSV / JSON from Google Cloud, AWS, or Azure in 60 seconds ▾
Run in BigQuery Console and click Save Results → CSV (local file) or JSONL:
SELECT
CAST(usage_start_time AS DATE) AS usage_start_time,
service.description AS `service.description`,
sku.description AS `sku.description`,
project.id AS `project.id`,
location.region AS `location.region`,
cost_type,
cost,
usage.amount AS usage_amount,
TO_JSON_STRING(labels) AS labels,
TO_JSON_STRING(credits) AS credits
FROM `YOUR_PROJECT.YOUR_BILLING_DATASET.gcp_billing_export_v1_*`
WHERE usage_start_time >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 30 DAY)
AND cost_type NOT IN ('tax', 'adjustment', 'rounding_error');
In AWS Billing and Cost Management → Data Exports (or Athena / Cost Explorer CSV export), download your standard CUR CSV containing lineItem/UsageStartDate, lineItem/ProductCode, lineItem/UsageType, lineItem/LineItemType, and lineItem/UnblendedCost.
In Azure Portal → Cost Management + Billing → Cost Analysis, switch view to Cost by resource or DailyCosts and click Download → CSV (includes Date, MeterCategory, MeterName, CostInBillingCurrency, and ResourceLocation).
Executive FinOps Narrative
Monthly Run-Rate Savings Waterfall
Spend by Category
3-Year Cumulative TCO
Daily Spend vs Target Run-Rate
Category Modernization Path
Ranked Savings Opportunities
| # | Category | Recommendation & Calculation Basis | Effort | Monthly Savings | Annual Savings | % of Bill |
|---|
Compute Engine CUD Coverage & Break-Even Elasticity Matrix
3-Phase FinOps Implementation Roadmap
Recommended Next Steps
Top Services by Monthly Spend
| Service | Category | Monthly | Share |
|---|
Email My Executive Cloud Cost Report (PDF Attached)
Receive the board-ready Executive Cloud Cost & FinOps Assessment PDF
(aviato-cloud-cost-assessment.pdf) and visual category/waterfall charts directly in your inbox via SendGrid (with cloud-sales@aviato.consulting CC'd for optional architectural review).
- • Multi-page
application/pdfreport stamped for your organization - • Ranked optimization levers, CUD elasticity / GCP service mapping & 90-day roadmap
- • Eligible AWS/Snowflake workloads qualify for our 20%+ Cost Reduction Guarantee
Turn Your FinOps Model into a Guaranteed Run-Rate Reduction
For commercial enterprises spending A$50,000/mo or more on AWS or Snowflake, we back our migration onto Google Cloud and BigQuery with a contractual 20% run-rate reduction guarantee—or Aviato pays you A$50,000 cash (AUD $50,000 cap). Already on Google Cloud? Execute every optimization lever via fixed-price Delivery Units or our 12-month Outcome Value-Share model.
How the 13-Lever Waterfall Eliminates Double-Counting
Most cloud calculators inflate savings by stacking independent percentage discounts on the same dollar of compute spend. Our engine classifies every SKU into a dedicated optimization pool and applies architectural rightsizing before calculating commitment discounts:
Waste & Idle Elimination
Reclaims unattached Persistent Disks, unused static IPv4 addresses, Cloud Logging ingestion sprawl, non-production off-hours compute scheduling, and Cloud Storage Autoclass lifecycle tiering.
Compute, GKE & Data Tuning
Upgrades legacy N1/N2/E2 VMs to price-performant C3/C4 or Arm-based Axion (N4/C4A) shapes, consolidates GKE Standard node pools onto GKE Autopilot + Spot VMs, and shifts spiky BigQuery on-demand scan bills to Autoscaling Editions.
CUD Elasticity & MAP Funding
Models 1-Year vs. 3-Year Flexible and Resource-Based Committed Use Discounts (CUDs) strictly on the post-rightsizing steady-state baseline—plus Google Cloud Migration Acceleration Program (MAP) partner credits for AWS and Azure migrations.
Related Cloud FinOps, Migration & Commercial Tools
Migration Funding Checker
Estimate how much Google Cloud migration funding, partner incentives, and PoC credits your workload qualifies for.
80/20 Value ShareBusiness Outcome Calculator
Pay out of verified Year-1 cloud run-rate savings or AI operational deflections—and keep 100% from Month 13 forever.
BigQuery Migration SLASnowflake 20% Cost Guarantee
Migrate from Snowflake to BigQuery with a contractual 20% run-rate cut backed by our AUD $50,000 cash guarantee.
Questions we get asked
Does my cloud billing CSV or JSON file ever leave my browser?
No. Every CSV, JSON, and JSONL billing export is parsed and analysed 100% locally in your browser using client-side TypeScript. Raw line items, resource IDs, project IDs, and account numbers are never uploaded to any server. Only when you explicitly request the emailed PDF assessment report are aggregated summary figures and top recommendation titles sent to our report generator.
Which cloud billing export formats does the calculator support?
The calculator auto-detects and ingests Google Cloud BigQuery Billing Export (Standard and Detailed Usage Cost), AWS Cost & Usage Report (CUR 1.0 and CUR 2.0, including Savings Plans and Reserved Instance effective cost columns), and Azure Cost Management Amortized/Actual CSV or JSON exports up to 25 MB. If you do not have an export handy, you can load one of the 3 built-in enterprise sample bills and scale it to your monthly spend.
How are the 13 Google Cloud optimization levers calculated without double-counting?
Each line item is classified into a primary SKU lever and evaluated in a strict sequential order. When a compute workload is rightsized or migrated to a newer machine family (such as N1/N2 to C3, C4, or Axion N4), its post-rightsizing cost pool becomes the reduced baseline for Flexible or Resource-Based Committed Use Discounts (CUDs). This sequential waterfall prevents stacked percentage discounts from inflating your projected savings.
How does the AWS or Azure to Google Cloud migration TCO model work?
In AWS or Azure mode, the engine maps your top source services (EC2, EKS, RDS, Aurora, S3, CloudFront, NatGateway, Redshift, Azure Virtual Machines, AKS, SQL Database, Blob Storage, Synapse) to their Google Cloud target architecture and models a 3-year Total Cost of Ownership (TCO) comparison. It accounts for pre-migration waste elimination, Google Cloud unit-price and scale-to-zero gains, one-off migration engineering investment, and payback period in months—and pairs with our Migration Funding Checker to estimate Google Cloud MAP partner credits.
How does the 20% Cloud Cost Reduction Guarantee apply to my results?
For commercial enterprises spending AUD $50,000 or more per month on AWS or Snowflake, Aviato backs our migration and replatforming onto Google Cloud and BigQuery with a contractual 20% run-rate reduction guarantee. If the migrated platform does not cut your normalised annualised run-rate by at least 20% measured 30 days after go-live, Aviato pays you AUD $50,000 cash.
How do I receive the board-ready PDF report and visual breakdown?
Enter your work email in the report panel inside the calculator and click Email My Board-Ready PDF Report. Our Firebase function generates a multi-page executive PDF attachment (including KPI cards, category spend bars, the ranked optimization table, 3-Year TCO comparison, and 3-phase execution roadmap) and delivers it straight to your inbox while CC’ing an Aviato Principal Architect.
Talk to an architect who has done this before.
Bring your current setup and the outcome you need. You will get a view on the approach, the risks and roughly what it costs.
Straight to a senior GCP architect. No SDR, no slide deck.
Not ready to talk? See how we migrated Hapana off AWS →
Or call +61 2 8359 9507 · Hello@aviato.consulting