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

Brendan Gregg

That's about 24 hours from now! ## 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 (..)

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File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. But let’s take a quick look at the changing hardware landscape before we go on… The changing hardware landscape.

Storage 64
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Back-to-Basics Weekend Reading - The 5 Minute Rule - All Things.

All Things Distributed

For this purpose I have picked work based on two papers by Jim Gray , the brilliant IBM / Tandem / Microsoft researcher, who won a Turing award for his contributions to data and transaction processing. In 1997 Jim revisted his caculations with the help of Goetz Graefe , and it details the impact of 10 years of hardware and pricing progress.

Storage 108
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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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Finding Distinct Values Quickly

SQL Performance

It comes set to SQL Server 2008 compatibility (level 100), but we will start with a more modern setting of SQL Server 2017 (level 140): ALTER DATABASE StackOverflow2013 SET COMPATIBILITY_LEVEL = 140 ; The tests were performed on my laptop using SQL Server 2019 CU 2. The Sort only has 19 rows to process, so it consumes only 1ms or so.

Servers 86
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Customer Conversations - How Intuit and Edmodo Innovate using.

All Things Distributed

Jack: Since our launch in late 2008, weve grown to over 6 million teachers and students globally primarily through word of mouth of teachers who have shared Edmodo with each other. Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing. hands freeÃ?

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Structural Evolutions in Data

O'Reilly

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Millions of tests, across as many parameters as will fit on the hardware.