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Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

DonHopkins : NeWS differs from the current technology stack in that it was all coherently designed at once by James Gosling and David Rosenthal, by taking several steps back and thinking deeply about all the different problems it was trying to solve together. Some are lucky enough to also have a production environment." Not so many this week.

Internet 121
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

Internet 128
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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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Amazon DynamoDB Accelerator (DAX): Speed Up DynamoDB Response Times from Milliseconds to Microseconds without Application Rewrite.

All Things Distributed

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. DynamoDB was the first service at AWS to use SSD storage.

Speed 121
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. Since we’re talking about mobile applications, we have to assume a changing environment over time, including the possibility of losing internet connectivity altogether. The Mobile Web Worker (MWW) System.

Mobile 104
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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Fundamentally, internet traffic can be broadly categorized into static and dynamic content. Yes, it’s a single file, but that’s not how it’s stored on the internet. BandwidthImagine the internet as a ramified web of pipelines, each varying in size. A video, being a digital asset, is also based on these two parts.