AWS Sustainability: Approaches to Shrink Your Workload's Footprint
As concerns grow over the environmental impact of technology, companies are looking for ways to make their AWS workloads more sustainable. Let us explore various approaches AWS users can take to optimize their workloads for improved energy efficiency and lower carbon emissions.
- Alignment to demand - Ensuring capacity and usage match workload requirements to avoid over-provisioning.
- Software and architecture - Designing applications to be efficient, reusable and long-lived. Using managed services and serverless technologies.
- Data - Implementing data management best practices like archival storage, data deletion and compaction.
- Hardware and services - Choosing optimal instance types and deploying resources in a balanced way across AWS Regions. Shutting down unused resources.
- Energy efficiency - Leveraging energy-efficient instance types, auto scaling and rightsizing.
- AWS Cost Explorer - Allows you to visualize, understand, and manage your AWS costs and usage over time. It helps identify opportunities for cost savings.
- AWS Compute Optimizer - Provides recommendations for optimizing compute resources like EC2 instances to improve performance and reduce costs. It analyzes workload patterns to provide tailored recommendations.
- AWS Trusted Advisor - Provides real-time guidance to help you provision your resources following AWS best practices. It includes cost optimization checks that analyze your resources and usage to help reduce costs.
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.