Cost estimation and forecasting are essential capabilities for organizations managing resources across multiple cloud environments. They allow businesses to evaluate potential expenses, plan ahead, and make informed decisions on workload deployment and optimization.
Uniskai provides both estimation and forecasting tools, enabling users to analyze current consumption and predict future trends, whether for a single account, multiple accounts, or even across providers like AWS, Azure, and GCP.
Estimation: Understanding Current and Potential Costs
Estimation is the capability to estimate and explore the potential cost and value of workloads in an organization’s cloud environment for particular scenarios and models. With Uniskai, you can:
Estimate costs at different levels — from individual groups to entire accounts.
Break down costs by attributes such as instance type, region, operation, service, purchase type etc to understand where spending is concentrated.
Compare estimated costs against actual consumption, giving visibility into variance and opportunities for optimization.
This empowers teams to identify inefficiencies early and ensure workloads are aligned with budget expectations.
Forecasting: Anticipating Future Cloud Costs
Forecasting goes beyond current data, offering the capability to provide or create a model of anticipated future cost and value of cloud systems. Uniskai leverages:
Statistical methods and historical spend patterns
Clear visibility into top spending areas
Usage trends and related metrics
With these models, you can predict future spend and resource needs, both at the account level and across multi-account, multi-cloud environments.
Forecasting helps organizations prepare for budget planning, understand the financial impact of scaling, and avoid unexpected overruns.
Key Benefits of Uniskai’s Estimation & Forecasting
Multi-cloud visibility: Compare and forecast costs across AWS, Azure, and GCP in one place.
Flexible views: Estimate and forecast for specific groups, accounts, or entire organizations.
Scenario modeling: Explore how potential workload changes might affect overall cloud spending.Actionable insights: Use cost models to optimize budgets and support strategic decision-making.