The Sustainability pillar of the AWS Well-architected framework focuses on integrating sustainability considerations into the design, development, and operation of cloud workloads. This includes reducing the environmental impact of IT operations, promoting sustainable practices, and providing tools and resources to measure and report on sustainability performance.
The Sustainability pillar consists of the following six design principles:
The Sustainability pillar consists of the following five best practices:
AWS's startup solution architects team recently released an open source tool called Sustainability Scanner. This open source tool evaluates your AWS CloudFormation template against a set of sustainability best practices from the Well Architected framework. It generates a report with a sustainability score and suggested improvements to apply to your template. The Sustainability Scanner is highly adaptable, allowing you to customize and expand its rule set in accordance with your organization's unique sustainability policies. Although it already incorporates a range of rule implementations aligned with the AWS Well-Architected Pillar for Sustainability, it is not limited to this predefined list. As the tool evolves, new rules will be introduced to ensure its relevance and effectiveness.
For more information visit here
Stream.Security Architectural Standards can help you reduce your organization carbon footprint, whether by suggesting you alternative regions with smaller carbon footprint than regions your organization is currently running on:
And helping you find unused and underutilized resources that "contribute" to less energy efficient server population and high electricity and energy usage:
The Sustainability pillar emphasizes the importance of designing and operating sustainable systems on the AWS platform. By considering sustainability principles and best practices, organizations can minimize their environmental impact, reduce resource consumption, and contribute to a more sustainable future.
Addressing sustainability involves optimizing resource usage and energy efficiency. By leveraging AWS services such as Amazon EC2 Spot Instances, AWS Lambda, and Amazon S3 Intelligent-Tiering, organizations can dynamically allocate resources based on demand, minimize idle capacity, and optimize energy consumption.
Implementing efficient data storage and management strategies is crucial for sustainability. Utilizing data lifecycle management features, organizations can automatically transition data to the most cost-effective storage tiers, reducing storage costs and energy consumption. Adopting cloud-native database services, such as Amazon Aurora Serverless, further optimizes resource utilization by scaling capacity based on workload demand.
Maximizing the use of renewable energy is a key aspect of sustainability. AWS offers regions and data centers powered by renewable energy sources, allowing organizations to host their applications and data in environmentally friendly facilities. Additionally, by leveraging AWS tools like AWS Trusted Advisor and AWS Cost Explorer, organizations can gain insights into their environmental impact and make informed decisions to reduce energy consumption and carbon emissions.
Continuous monitoring and improvement are essential for sustainability. By establishing clear sustainability goals, regularly tracking key performance indicators, and implementing automated monitoring and reporting mechanisms, organizations can measure their progress, identify areas for improvement, and drive sustainable practices throughout their AWS environment.
Stream.Security delivers the only cloud detection and response solution that SecOps teams can trust. Born in the cloud, Stream’s Cloud Twin solution enables real-time cloud threat and exposure modeling to accelerate response in today’s highly dynamic cloud enterprise environments. By using the Stream Security platform, SecOps teams gain unparalleled visibility and can pinpoint exposures and threats by understanding the past, present, and future of their cloud infrastructure. The AI-assisted platform helps to determine attack paths and blast radius across all elements of the cloud infrastructure to eliminate gaps accelerate MTTR by streamlining investigations, reducing knowledge gaps while maximizing team productivity and limiting burnout.