What is our primary use case?
My primary use case for AWS Cost Explorer is cost visibility and optimization, and I use it to understand where cloud spend is occurring, identify spending trends, analyze cost drivers, evaluate commitment coverage, and support decision making around Savings Plans, Reserved Instances, and workload optimization. A recent example involved preparing recommendations for Compute Savings Plans and RDS Reserved Instances, and I used AWS Cost Explorer to analyze historical usage patterns, identify stable workloads, evaluate commitment opportunities, and estimate potential savings. This analysis helped me build a business case for leadership and finance teams.
The challenge I typically run into when building business cases is determining the optimal commitment level without overcommitting resources. AWS Cost Explorer allows us to review usage trends, reservation coverage, high utilization rates, and forecast spend. This gives us the confidence to recommend commitments that could generate significant savings while maintaining operational flexibility.
What is most valuable?
The best features AWS Cost Explorer offers include cost and usage trend analysis, the cost forecasting feature, service-level spending breakdowns, the tags and cost allocation analysis, Savings Plans recommendations, Reserved Instances recommendations, and reservation coverage and utilization reports. I also appreciate being able to filter by account, service, region, tag, and cost category.
The features that stand out for my workflow include cost and usage trend analysis, which I probably could not imagine working without because it really helps me follow the evolution of the different costs per account, per month over the entire year to be able to give useful information to management for possible commitment purposes and decision-making. Without this service or feature, it would be difficult.
I particularly appreciate how quickly I can move from a high-level cost view to detailed analysis without requiring complex queries or external reporting tools.
AWS Cost Explorer has positively impacted my organization by improving our cost visibility, enabling better financial accountability, and supporting data-driven optimization decisions. It also facilitates collaboration between the teams—engineering, finance, procurement, and leadership—by providing a common source of truth for cloud spending. While I cannot disclose confidential figures, AWS Cost Explorer has helped support cloud optimization initiatives that resulted in great annual savings opportunities through Savings Plans, Reserved Instances, and rightsizing initiatives. It has also reduced the time required to investigate our cost anomalies from hours to minutes.
When I mention reduced investigation time from hours to minutes, the typical workflow before involved a team being lost, trying to reconcile where these costs have come from, what accounts have been involved, which services, and jumping from one account to another. For example, if leadership were to ask why AWS cost increased by twenty percent compared to the previous month, this investigation could take hours because you would need to review invoices, analyze usage reports, check which services had increased consumption, identify the affected accounts, and then contact engineering teams for context. However, AWS Cost Explorer streamlined this process significantly because it provides immediate visibility into cost trends. I can quickly compare the time periods, filter by service, account, region, tag, and cost category, and identify the primary drivers of the increase within minutes.
What needs improvement?
When discussing how AWS Cost Explorer can be improved, I would suggest that if they could incorporate more advanced forecasting capabilities, maybe stronger AI-driven optimization recommendations—especially related to tokenomics and AI-related services—improved anomaly root cause analysis, better executive-level dashboards, and easier multidimensional reporting across larger organizations, it would enhance the service.
While I feel that AWS Cost Explorer is very effective for operational FinOps work, I also believe larger enterprises would need to complement it with BI tools for deeper analysis.
For how long have I used the solution?
I have been using AWS Cost Explorer for approximately six years, and I continue to use it extensively.
What other advice do I have?
AWS Cost Explorer is deployed in my organization in a public cloud setup.
I use AWS as my cloud provider.
I did not purchase AWS Cost Explorer through the AWS Marketplace because it is a native AWS service included with the AWS Management Console and billing ecosystem, and I access it directly through AWS.
My advice to others looking into using AWS Cost Explorer is to start by implementing a strong tagging and cost allocation strategy because AWS Cost Explorer becomes significantly more valuable when costs can be mapped to business units, applications, environments, and teams. I would also recommend combining AWS Cost Explorer with AWS Budget, Cost Anomaly Detection, the Cost and Usage Report, and regular FinOps reviews, as it provides excellent visibility, but the greatest value comes when it is integrated into a broader cloud financial management practice.
I rate AWS Cost Explorer a nine out of ten because it provides excellent visibility into AWS costs, and it is quite easy to use. The reason I would not give it a ten is that advanced analytics, forecasting, and reporting often require additional services, as I mentioned earlier, such as the CUR, Athena, Quicksight, or third-party FinOps platforms.
Regarding AWS Cost Explorer's AI capabilities, I view the governance and security capabilities quite positively, as cost data access can be controlled through IAM policies, and an organization can implement role-based access controls to ensure users only see the information relevant to them, which is particularly important in regulated environments.
I find AWS Cost Explorer's output highly accurate because it is driven and derived directly from AWS billing and usage data, and for cost reporting and trend analysis, I consider it a reliable source of truth.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)