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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

If you’re running your own data center, you can start powering it with green energy purchased through your utility company. The complication with this approach is that your energy bill will likely increase. Next, we consider possible energy savings in the data center. So you’ll have to look elsewhere for energy savings!”

Cloud 202
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Don’t follow the sun: Scheduling compute workloads to chase green energy can be counter-productive

Adrian Cockcroft

Sunset in Morocco — photo taken by Adrian We want to reduce carbon emissions of our compute and storage workloads, and one way of doing this is to choose a time and place where the “grid mix” of energy consumed is less carbon intensive. If it gets too small, they provision more racks of systems.

Energy 52
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. In our case, we wanted to highlight the value of using Kepler to provide the energy consumption of our Kubernetes workload.

Metrics 172
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Orbital edge computing: nano satellite constellations as a new class of computer system

The Morning Paper

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The CubeSat form-factor limits what can be packed into the device and how much power is available.

Systems 125
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Reducing Embodied Carbon is Important

ACM Sigarch

Specifically, we agree that one of the grand challenges of sustainable computing is matching electrical load with the availability of low-carbon electricity. Chien, we assert that it is impractical and insufficient to rely on quickly deploying renewable energy to decarbonize manufacturing. Unlike Prof. Chien’s post. Therefore, the $1.4B

Energy 98
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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly

Availability of this information would assist in many of the other goals outlined in the EO, including addressing algorithmic discrimination and increasing competition in the AI market, as well as other important issues that the EO does not address, such as copyright. Energy usage and other environmental impacts. Operational Metrics.

Energy 122
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240