Remove 2017 Remove Database Remove Hardware Remove Latency
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 126
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The Performance Inequality Gap, 2021

Alex Russell

TL;DR: A lot has changed since 2017 when we last estimated a global baseline resource per-page resource budget of 130-170KiB. To update our global baseline from 2017, we want to update our priors on a few dimensions: The evolved device landscape. Hardware Past As Performance Prologue. The Moto G4 , for example. Hard Reset.

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 40
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5 tips for architecting fast data applications

O'Reilly Software

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. We usually relate SQL to querying tables in relational databases. Apache Kafka is currently the leading project in this area.

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Progress Delayed Is Progress Denied

Alex Russell

WebGL 2 launched for other platforms on Chrome and Firefox in 2017. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware.

Media 145
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Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]

Smashing Magazine

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). A good starting point is to choose a good default stack for your application.