AWS Cloud Financial Management

Category: Best Practices

ICYMI: Optimize your EBS volumes, networks, and overall costs

In this first ICYMI blog of 2023, we’re sharing articles from across the AWS blogosphere and AWS Cloud Financial Management, to help you start the year off right. Explore these resources to understand and start implementing important optimizations from varying perspectives. Whether you’re in a technical, financial, or business role, these optimizations can help you […]

Optimizing resource efficiency with AWS Compute Optimizer

It’s well known how important it is to learn about strategies for holistic cloud cost optimization, how AWS has improved its cost-optimization recommendation solutions, and how to use those solutions to map capacity to your needs and make better cost-optimization decisions while maintaining high performance. AWS Compute Optimizer helps you identify the optimal AWS resource […]

5 steps to establishing proactive cloud cost optimization

Cloud cost optimization is often implemented as a reactive activity, despite being intrinsically proactive by nature. By implementing these 5 cloud cost optimization best practices, you can ensure proactivity as you maximize realized business value and take advantage of the flexibility, agility, and scalability of cloud technologies and services.

Starting your Cloud Financial Management journey: Cost visibility

As your company starts to innovate faster, develop new solutions, and take advantage of the flexible model of the cloud, you need to ensure your CFM setup can handle it all. To help you get started, this blog series is going to take you through each of the four AWS CFM principles: See, Save, Plan, and Run. We’ll give you practical recommendations you can implement to set your business up for success.

Optimize AWS costs without architectural changes or engineering overhead

Learn how you can optimize your current AWS footprint with little to no architectural changes. Focus on improving price-to-performance without introducing engineering overhead, large planning cycles, and significant time investment.