As organizations increasingly adopt multi-cloud strategies, managing cloud usage and billing has become more complex than ever. Differences in pricing models, resource types, and usage patterns across cloud providers make multi-cloud pricing and cost tracking both challenging and time-consuming. Lack of cloud cost visibility and reliable cloud cost estimation often leads to billing surprises and inefficient spend. Yeedu addresses these challenges by offering a streamlined, transparent, and flexible billing system designed specifically for multi-cloud billing cost management.
At Yeedu, we simplify cloud billing by providing a consistent and accurate usage-based cloud billing cycle that works seamlessly across AWS, Azure, and Google Cloud Platform (GCP), while improving real-time cloud cost visibility across environments.
Yeedu follows a usage-based cloud billing model, ensuring customers pay only for what they actually consume. At the core of this model is the Yeedu Compute Unit (YCU), a standardized unit that represents daily cloud usage. This information is displayed in graph format for easy understanding, enabling teams to move from reactive billing reviews to proactive cloud cost estimation and planning.
Instead of relying on monthly estimates or delayed billing reports, Yeedu calculates consumption on a daily basis. This provides continuous cloud cost visibility, reduces billing surprises, and enables better financial planning, governance and cloud cost optimization across multi-cloud environments.
One of Yeedu’s key strengths is its ability to track usage across AWS, Azure, and GCP in a unified and consistent manner. Managing multiple cloud providers often requires navigating different dashboards and billing formats. Yeedu simplifies this by providing a single platform for multi-cloud billing cost analysis, enabling easy comparison of consumption patterns across providers and multi-cloud pricing behavior.
YCU is calculated based on actual resource usage, with each cloud provider tracked independently. Daily aggregation ensures precise consumption data without approximations, resulting in accurate billing aligned with real usage and improved cloud cost estimation accuracy. With this unified approach, teams can quickly identify which cloud or workload is consuming the most resources and take corrective action to drive cost optimization.
We can filter billing data based on date, cluster name, cloud provider, cluster labels, tenant name, and machine type. These filters are designed to give teams fine-grained cloud cost visibility across dimensions. Let’s see each of these filters in detail.
Yeedu understands that users don’t always need full-month data. To support detailed analysis and reporting, the platform offers flexible date-range filtering, allowing users to retrieve usage data for any required number of days. This is especially useful for short-term cloud cost estimation, cost reviews, and forecasting.
For example, teams can:
This flexibility allows users to focus on relevant data without unnecessary noise, improving decision-making for cloud cost optimization initiatives.
In modern cloud environments, workloads are often distributed across multiple clusters. Yeedu provides cluster level visibility, ensuring billing data is not only aggregated at a high level but also broken down where it matters most.
By tracking YCU consumption per cluster, teams gain deeper cloud cost visibility and can can make targeted optimizations instead of applying blanket changes across the entire environment. This level of detail is especially valuable for:
By directly linking usage to clusters, Yeedu helps organizations understand the true cost of their infrastructure and continuously improve multi-cloud billing cost efficiency.
When usage data from multiple cloud providers is displayed on a single page, it can be difficult to analyze and act on effectively. Yeedu allows users to filter usage data by cloud provider, enabling teams to focus on one cloud environment at a time and better understand provider-specific pricing and usage paterns.
This isolation makes multi cloud pricing comparisons clearer and helps organizations quickly detect unused or underutilized resources. By taking corrective actions, teams can optimize cloud usage and reduce unnecessary spend.
Key benefits include:
Modern cloud environments rely heavily on labels to organize resources by application, environment, team, or purpose. Yeedu supports filtering by cluster labels, enabling teams to slice and analyze usage data based on how their infrastructure is logically grouped, improving application-level cloud cost visibility.
For example, instead of viewing usage data for all clusters at once, teams can filter clusters by User ID based labels. This focused view makes the data easier to understand and provides deeper insights into application-level or environment-specific consumption patterns and usage driven billing trends.
Key benefits include:
For organizations managing multiple teams, business units, or customers, tenant-level visibility is essential. Rather than reviewing the billing data for all tenants together, Yeedu allows users to filter cloud usage by tenant, ensuring that each group’s consumption and costs are clearly separated.
This approach improves accountability, enables accurate chargeback or showback, and strengthens overall governance across the organization, key pillars of effective multi-cloud billing cost control.
Key benefits include:
Different workloads require different machine configurations, and over-provisioning is one of the most common causes of cloud waste. With machine type based filtering, Yeedu helps teams analyze how specific instance types are being used across their cloud environment.
This makes it easier to compare performance versus cost and identify opportunities to right-size infrastructure for maximum efficiency.
Key benefits include:
Yeedu provides flexible and transparent invoice generation, giving users full control and transparency over their billing documents. Invoices can be generated for any completed month, up to the previous month, ensuring accurate reflection of finalized usage based cloud billing data.
Users can filter invoice data for a specific period by selecting the required month range using the “from” and “to” fields.
Each invoice includes:
This structure improves trust, auditability, and cloud cost visibility across stakeholders.
Restricting invoice generation to completed months ensures
This approach helps Yeedu maintain consistency, accuracy, and reliability, critical for enterprises managing multi-cloud billing cost at scale.
Yeedu’s billing system is designed with transparency, flexibility, and scalability in mind, addressing the core challenges of multi-cloud pricing and cost management.
Key benefits include:
These capabilities empower organizations to manage cloud costs effectively while reducing administrative overhead.
Yeedu’s billing cycle and invoice generation system is designed to simplify multi-cloud cost billing cost management. With daily YCU tracking, multi-cloud support, flexible data filtering, and reliable invoice generation, it delivers a complete and transparent billing experience.
By transforming complex cloud usage data into clear, actionable insights for cloud cost estimation and optimization, Yeedu helps organizations gain control over cloud spending and make confident, informed financial decisions.
For further information visit Yeedu Docs.
