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The Performance Golden Rule Revisited

Tim Kadlec

10% 90% Google 25% 75% MySpace 9% 91% MSN 5% 95% ebay 5% 95% Amazon 38% 62% YouTube 9% 91% CNN 15% 85% When Steve Souders repeated it in 2012 , he found much the same. I broke the percentages down by page rank (based on traffic to the site). I ran a few queries against the HTTP Archive to see how well the same logic applies today.

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Notes on: Married to HTTP/3

Tim Kadlec

HTTP/3 work started in 2012 with Google working on QUIC, adopted by IETF in 2017, RFC’s published in June 2022. Scalemates.com flipped the switch to enable HTTP/3 and almost immediately HTTP/3 traffic rose to ~13% of all requests on the landing page, ~49% for all pages in total. The browser stores alt-svc info in alt-svc cache.

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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively. low-end Androids have finally caught up to the iPhone 5 from 2012. The Moto G4 , for example.

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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 212
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 197
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these goals in mind, In January, 2012 we launched Amazon DynamoDB , our cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance and manageability needed to run mission-critical workloads. Manageable – The service would need to be easy to manage and operate.

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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

By Werner Vogels on 18 January 2012 07:00 AM. s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Werner Vogels weblog on building scalable and robust distributed systems. Amazon DynamoDB â?? Comments (). Amazon DynamoDB offers low, predictable latencies at any scale.