Remove 2008 Remove Cache Remove Network
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

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Service Workers can save the environment!

Dean Hume

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. It’s a win-win all round!

Energy 40
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Service Workers can save the environment!

Dean Hume

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. It’s a win-win all round!

Energy 40
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Service Workers can save the environment!

Dean Hume

Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. It’s a win-win all round!

Energy 40
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Tuning SQL Server Reporting Services

SQL Performance

SSRS 2008 brought that component into the reporting service module. Caches of report results are stored in the ReportServerTempDB database and I/O performance can become an issue here. In the early days of SSRS, a requirement was to also install and configure Internet Information Services (IIS). Reporting Services Infrastructure.

Tuning 67
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Hello from Europe!

Speed Curve

To overcome some of these challenges, we built our own Java-based player, complete with caching, content compression, and even bandwidth detection so it could switch between video, audio, and text versions of a course depending on network speed. Ultimately the business didn’t survive the dotcom bust, but it lit a spark.

Retail 52
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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?