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The Speed of Time

Brendan Gregg

Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? html [60s checklist]: /Articles/Netflix_Linux_Perf_Analysis_60s.pdf [re:Invent talk]: [link] [recommendation]: [link] [Nitro]: /blog/2017-11-29/aws-ec2-virtualization-2017.html Microbenchmark os::javaTimeMillis() on both systems.

Speed 126
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Blog Archive

O'Reilly Software

2020 Apr 6 Off by Two 2019 May 12 f() vs f(void) in C vs C++ 2019 Jan 18 Finding Compiler Bugs With C-Reduce 2018 Oct 24 Booting a Custom Linux Kernel in QEMU and Debugging It With GDB 2018 Jun 2 Speeding Up Linux Kernel Builds With ccache 2017 Sep 5 GCC vs LLVM Q3 2017 Commit Rates and Active Developer Counts 2017 May 31 Running Clang-Tidy (..)

C++ 40
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Running A Page Speed Test: Monitoring vs. Measuring

Smashing Magazine

Running A Page Speed Test: Monitoring vs. Measuring Running A Page Speed Test: Monitoring vs. Measuring Geoff Graham 2023-08-10T08:00:00+00:00 2023-08-10T12:35:05+00:00 This article is sponsored by DebugBear There is no shortage of ways to measure the speed of a webpage. Lighthouse results. One type is called lab data.

Speed 81
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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds. This was initially used via the ixgbe driver for speeds up to 10 Gbps, then the ena driver for speeds up to 25 Gbps. Xen AWS 2017 In 2015, AWS launched c4, which used hardware virtualization for EBS volumes. The first was c3.

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A Faster Blog, Faster

Alex Russell

Perhaps there's a better solution, but I've been iterating on content and templates by firing up a linux terminal on my 2017 Pixelbook and starting the built-in 11ty filewatcher and browser sync tools. Skipping to the punchline, my blog builds 35% faster and Frances' is north of 40% faster. So can we go faster?

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

## References I've reproduced the talk references 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? Ford, et al., “TCP

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Over the years we have seen three major waves of evolution for us: Speed, Stability and Scale. In order to better explain why we are talking about Autonomous Cloud, what it means and how you can apply our lessons learned, let me explain the three waves of transformation in more detail: Wave one: DevOps to increase speed.

Cloud 184