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.
Primarily, I use AWS Cost Explorer to maintain cost and current budget constraints. Our FinOps team provides us with a budget for the month, and we track our spending to identify where funds are allocated. We have billing alerts set up to notify us when our infrastructure exceeds a certain amount, prompting us to review our spending and justify it to the FinOps team. It's essential for keeping track of our monthly expenses.
Cloud Cost Management solutions help businesses optimize their cloud spend, providing transparency and tools needed for efficient budget allocation while ensuring resources are used effectively.Companies face challenges in managing cloud expenses due to the complex and dynamic nature of cloud services. Effective Cloud Cost Management provides tools for tracking and analyzing spending patterns, offering insights into cost efficiencies and potential areas for savings. These solutions utilize...
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.
We have been handling all of the AWS infrastructure for the customer for maybe two years.
Primarily, I use AWS Cost Explorer to maintain cost and current budget constraints. Our FinOps team provides us with a budget for the month, and we track our spending to identify where funds are allocated. We have billing alerts set up to notify us when our infrastructure exceeds a certain amount, prompting us to review our spending and justify it to the FinOps team. It's essential for keeping track of our monthly expenses.