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Stuff The Internet Says On Scalability For November 2nd, 2018

High Scalability

— James O'Malley (@Psythor) October 29, 2018. It's HighScalability time: Here's a dystopian vision of the future: A real announcement I recorded on the Beijing-Shanghai bullet train. I've subtitled it so you can watch in silence.) pic.twitter.com/ZoRWtdcSMy. The future is already here – it's just not evenly distributed."

Internet 126
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Self-Host Your Static Assets

CSS Wizardry

Users might already have the file cached. If website-a.com links to [link] , and a user goes from there to website-b.com who also links to [link] , then the user will already have that file in their cache. Penalty: Caching. This makes it very safe and sensible to enforce a reasonably aggressive cache policy.

Cache 274
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Charlie Vazac introduced server timing in a Performance Calendar post circa 2018. Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin?

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Analyzing a High Rate of Paging

Brendan Gregg

1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 Reads usually have apps waiting on them; writes may not (write-back caching). Counting cache functions. 17 48011 [.].

Cache 105
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Fundamentals of Table Expressions, Part 12 – Inline Table-Valued Functions

SQL Performance

I also compare them with stored procedures, mainly focusing on differences in terms of default optimization strategy, and plan caching and reuse behavior. The main minus of parameter embedding optimization is you don’t get efficient plan caching and reuse behavior like you do for parameterized plans. plan_handle , Q. SELECT TOP (@n).WHERE

Cache 144
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KeyCDN Launches New POPs in 2021

KeyCDN

You can quickly check the response headers using Chrome DevTools or a simple curl command like the one below: curl -I [link] 200Server: keycdn-engineDate: Tue, 17 Apr 2018 18:35:44 GMTContent-Type: image/svg+xmlContent-Length: 12557Connection: keep-aliveVary: Accept-EncodingLast-Modified: Mon, 26 Sep 2016 12:15:44 GMTETag: "57e91170-310d"Expires: (..)

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