Cloud spending can be difficult to interpret when usage is spread across cloud platforms, teams and projects. Without clear allocation and reporting, it is harder to identify the drivers behind a bill, track budgets or spot an unexpected increase in spend.
CloudSpend analyses cloud spending and usage across AWS, Azure and Google Cloud Platform. It provides dashboards and granular reports, allocates costs, manages budgets, detects unusual spend patterns and forecasts future costs. Recommendations for rightsizing and unused resources help teams focus their optimisation work.
CloudSpend is suited to reviewing multi-cloud expenditure, assigning costs to internal cost centres, teams or projects, and supporting chargeback or showback. Teams can use budgets and anomaly detection to investigate unexpected spending patterns, while forecasts support planning for anticipated cloud costs. Resource recommendations provide a starting point for reviewing unused or oversized cloud resources.
CloudSpend is applicable to cloud estates using Amazon Web Services, Microsoft Azure, Google Cloud Platform, or a combination of these platforms. Its scope is cloud cost visibility, allocation, budgeting, analysis and optimisation recommendations across supported cloud environments.
Shows spending and usage trends to help teams identify what is driving cloud costs.
Links cloud costs to teams, projects and cost centres for internal cost discussions.
Highlights unusual spending patterns so teams can investigate unexpected increases.
Uses budgets and forecasts to support planning around expected cloud expenditure.
Identifies unused and potentially oversized resources for optimisation review.
Review spending, usage patterns and trends across supported cloud platforms.
Allocate cloud expenditure to internal teams, projects and cost centres.
Set cloud budgets and review spending against planned expenditure.
Use anomaly detection to investigate unexpected cloud cost spikes.
Review rightsizing and unused-resource recommendations when assessing cloud usage.