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The Speed of Time

Brendan Gregg

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? Software-based clocksources could fix those issues and provide accurate monotonically-increasing time.

Speed 126
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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Virtualized in Software**: While this can support an unmodified guest OS, many operations are emulated and slow. It's using software and coordination between the hypervisor and guest to improve performance. Virtualized in Hardware**: Hardware support for virtualization, and near bare-metal speeds. I'd expect between 0.1%

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How to Optimize Website Speed for Black Friday 2017

Abstracta

The post How to Optimize Website Speed for Black Friday 2017 appeared first on Abstracta Software Testing Services. Halloween is almost here and before you know it, it will be Black Friday and then, Cyber Monday. These consumer “holidays” bring about the race for shoppers to buy all of the coveted items on.

Speed 45
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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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5 automation trends in software development, quantified

O'Reilly Software

For more than 15 years, my colleagues and I at the Software Improvement Group (SIG) have been in the business of evaluating the quality of code, architecture, and development practices for our customers. Recently, we dove into our assessment data to discover—and quantify —trends in software development, each time comparing 2016 to 2017.

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Over the years we have seen three major waves of evolution for us: Speed, Stability and Scale.

Cloud 184
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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?