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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Pay Per Use.

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

The video is now on [YouTube]: The slides are [online] and as a [PDF]: first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video). Ford, et al., “TCP

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Ford, et al., “TCP

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

The video is now on YouTube : The slides are online and as a PDF : first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate as I had planned to cover it and then forgot, so the question let me talk about it (although Q&A is missing from the video). Ford, et al., “TCP

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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

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Talk Video: Welcome to the Jungle (60 min version + Q&A)

Sutter's Mill

Now welcome to the hardware jungle. One of the slides I omitted to shorten this version of the talk highlighted that there are actually two issues when you go from “Disjoint (tightly coupled)” to “Disjoint (loosely coupled)”: reliability and latency , and both are important. (I — The free lunch is over.

Latency 40