How to Automate AWS Cost Optimization with Boto3?

What features are you looking to build? That might determine the best approach for your cost optimization.

I've dipped into the Pricing and Billing API before, and honestly, the documentation could be much better. While you can use the APIs, understanding the pricing structure isn't easy since SKUs aren't publicly available. A good practice is to manually make use of the Cost Explorer to analyze your spending and save those reports for quick access later. We also dump billing info into an S3 bucket as CSV files, which is great for analyzing monthly trends. For starters, my advice is to set up billing alerts and get familiar with Cost Explorer. That should cover your basics as your application grows.

You might want to ask GPT for cost control processes. It provides a solid outline of what to follow, whether it's weekly, monthly, or quarterly reviews. Just keep an eye on the trends and adjust as needed.

Automating AWS cost management can feel overwhelming, especially with CURs and various billing metrics. When going the Boto3 route, consider these steps: 1) Use `boto3.client('ce')` to get daily costs by service and spot anomalies. 2) Pull CUR data from S3 and aggregate by tags like `Environment` or `App`. 3) Combine insights from Trusted Advisor or Compute Optimizer to identify idle resources. You could also visualize everything in a dashboard like Grafana or QuickSight. Alternatively, check out Clouddley; it integrates directly with AWS and offers real-time insights and optimization suggestions, often saving teams 40-70% of their bills in just a few weeks.