Minimize data movement across networks

Minimizing data movement is crucial for enhancing operational efficiency and reducing carbon footprints in cloud workloads. By limiting the amount of data transferred across networks, you can optimize resource usage and lower energy consumption.

Best Practices

• Use Shared File Systems: Implement shared file systems or object storage solutions to allow multiple workloads and users to access common data. This minimizes data replication and the network resources needed for data movement, which can lead to significant cost savings and environmental benefits.

Supporting Questions

• Are shared file systems or object storage solutions reducing data movement in your workloads?

Roles and Responsibilities

• Data Architect: Responsible for designing data storage solutions that minimize redundancy and data movement across networks.
• Cloud Engineer: Ensures the effective implementation of data management practices and monitors data transfer across networks to optimize sustainability.

Artifacts

• Data Movement Analysis Report: A document that outlines current data movement patterns across networks and identifies opportunities to minimize wasted resources.
• Sustainability Impact Assessment: Assessment that evaluates the environmental impact of current data management practices, particularly focusing on network resource usage.

Cloud Services

AWS

• Amazon S3: AWS’s scalable object storage service that allows you to store and retrieve data efficiently, enabling shared access across multiple applications and minimizing network data movement.
• Amazon EFS: AWS’s managed file storage service for use with Amazon EC2 instances that provides shared access to file data, reducing the necessity to move data across different instances.

Question: How do you take advantage of data management policies and patterns to support your sustainability goals?
Pillar: Sustainability (Code: SUS)