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Looking back at 10 years of compartmentalization at AWS

All Things Distributed

But every year when March 14th comes around, it's a good reminder that Amazon S3 originally launched on Pi Day, March 14, 2006. A concept that has changed infrastructure architecture is now at the core of both AWS and customer reliability and operations. " Silo your traffic or not – you choose.

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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 154
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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

At the instance level, many CPU and system architectures have direct access to power consumption metrics. Clock rates also change, some ARM architectures include a mixture of high performance and low power cores in the same CPU, and Intel architecture CPUs have hyperthreading, so the performance of an execution thread will vary over time.

Energy 52
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. Each of those workloads have unique requirements when it comes to the network.

AWS 144