Remove 2014 Remove Speed Remove Storage Remove Virtualization
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What is function as a service? App development gets FaaS and furious

Dynatrace

Effective application development requires speed and specificity. Cloud providers then manage physical hardware, virtual machines, and web server software management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. It's an exciting development in cloud computing: hardware virtualization is now fast. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds.

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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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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. The L3 cache size is 64MB.

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

Brendan Gregg

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. It's an exciting development in cloud computing: hardware virtualization is now fast. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds.

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

Brendan Gregg

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?