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FinOps
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Products

Eagle FinOps

Cloud Financial Management and Optimization

The cloud offers flexibility, but without the right management, costs can escalate, impacting efficiency and value. Eagle FinOps maximizes cloud efficiency and reduces total cost of ownership (TCO) by optimizing infrastructure and workloads.

 

Eagle offers precise insights into cell-level dependencies, data lineage, and interdependencies, providing accurate, cost-saving recommendations and enhanced resource utilization to support pre-modernization strategies. Post-modernization, Eagle FinOps leverages the same expertise to optimize cloud environments, dynamically scaling resources to reduce waste, maximize reservations, and unlock new savings opportunities. This ensures both cost efficiency and performance excellence, empowering organizations to confidently adopt cloud-native and serverless technologies for ongoing impact.

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FinOps
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Understand your
cloud spending and why

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Control

Limit spending to keep it aligned with your budget and goals.
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Optimize

Resources dynamically for cost-efficiency and performance.
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Transparency

Get clear insights into spending for better financial planning and decisions.

Spot-on cloud consumption management

Eagle FinOps shows you exactly where your cloud money is going and why. It provides timely recommendations and can analyze workload patterns of the past 32 days for companies that have moved their data to Google BigQuery.

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Why do you need Eagle FinOps?

Gain clear visibility into your cloud spending, optimize costs,
and make informed financial decisions.
49% of businesses struggle to control their cloud costs.
Cost Control
33% of businesses exceed their cloud budget by 40%.
Budget Overruns
64% of large companies see profitability in managing cloud finances.
Profitability Gains
70% of companies are unsure of their precise cloud spending.
Spending Uncertainty
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Focus on reducing the cloud waste
and control over spending

Comprehensive GCP
Platform Coverage

Frequently Asked Questions

Eagle FinOps is Onix’s cloud cost optimization platform inside Wingspan 2.0. 49% of businesses struggle to keep cloud costs under control and 33% overrun their cloud budget by 40% or more. Eagle FinOps is built for that exact gap. It analyzes both infrastructure and workload spend across GCP, covers what most cloud FinOps tools miss, including inefficient BigQuery SQL and over-provisioned workloads that quietly inflate your bill every month, and tracks actual dollar savings realized against potential savings across 60+ recommendation categories.

It is the only tool that treats application code as a cost variable alongside infrastructure. Most finops cloud cost management tools stop at billing-layer analysis. Eagle FinOps goes to the query level, analyzing BigQuery SQL for slot usage inefficiency and surfacing code-level fixes that reduce compute cost at the source. Onix was recognized as a 2024 Leader in Cloud Cost Management and Optimization in the QKS SPARK Matrix specifically for this depth.

Preventive cost controls are built into the core of Eagle FinOps, not bolted on as an add-on feature. It flags configuration patterns likely to cause billing escalation before they run, identifies queries that will generate disproportionate compute costs, and surfaces overprovisioning decisions before they compound at month-end. The distinction matters: most cloud cost management solutions show you what you spent. Eagle FinOps shows you what you are about to spend.

Eagle FinOps tracks both potential and realized savings. For each recommendation category, it calculates the dollar saving available. Once a recommendation is implemented, it recalculates the actual saving achieved. Month-on-month and cumulative actual savings trends are visible in the dashboard. Customers have achieved 15 to 25% cloud spend reduction in production deployments. That is a number that holds up in a board conversation.

Eagle FinOps and Eagle work as a sequence. Eagle assesses the pre-migration landscape and produces workload complexity and cost estimates. Eagle FinOps picks up post-migration, analyzing how workloads actually land in GCP and optimizing from the baseline. Organizations that run both avoid spending the first 12 months post-migration cleaning up provisioning and SQL decisions that were made without full visibility.

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