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.
In the past, I worked with DynamoDB and all the tools related to IAM and Cloud to see all the costs. I have also worked with SNS, SQS, Route 53, CloudFront, Cloud DNS, EKS, the compute engine, tools related to databases for PostgreSQL, CloudFormation, CodePipeline, CodeCommit, and the tool to store Docker images. Historic data depends on your organization. You can use the CPU or memory, or you can use metrics related to CPU use over time. The node depends on your organization, but in general, memory and CPU are the most important metrics. You can see that by specific namespace in Kubernetes. AWS Cost Explorer is a good tool for every type of customer. The section rating for customer service is three.
It's important to ensure you utilize AWS Cost Explorer to control and forecast costs accurately. This tool is essential for anyone using AWS services. I'd rate the solution ten out of ten.
Cloud Cost Management allows businesses to monitor, analyze, and optimize their cloud expenses. This solution is essential for companies seeking to achieve cost efficiency and enhance their financial strategies.Advanced Cloud Cost Management solutions offer comprehensive tools to help enterprises manage and reduce their cloud spending effectively. With features like real-time cost tracking, budget forecasting, and usage monitoring, organizations can gain better control over their cloud...
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.
In the past, I worked with DynamoDB and all the tools related to IAM and Cloud to see all the costs. I have also worked with SNS, SQS, Route 53, CloudFront, Cloud DNS, EKS, the compute engine, tools related to databases for PostgreSQL, CloudFormation, CodePipeline, CodeCommit, and the tool to store Docker images. Historic data depends on your organization. You can use the CPU or memory, or you can use metrics related to CPU use over time. The node depends on your organization, but in general, memory and CPU are the most important metrics. You can see that by specific namespace in Kubernetes. AWS Cost Explorer is a good tool for every type of customer. The section rating for customer service is three.
It's important to ensure you utilize AWS Cost Explorer to control and forecast costs accurately. This tool is essential for anyone using AWS services. I'd rate the solution ten out of ten.