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Platform Engineering Teams Done Right…

Adrian Cockcroft

The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work.

Tuning 61
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work.

Tuning 52
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 128
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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. Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. Expect the unexpected.

AWS 144
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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

Energy data at the entire machine or raw cloud instance level needs to be apportioned to virtual machines or cloud instances which run an operating system, and to pods, containers and processes running applications and background activities that consume CPU, memory and I/O resources.

Energy 52