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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

Performance issues surrounding Availability Groups typically were related to disk I/O or network speeds. While we were confident in the design of SQL Server 2012, several customers reported to us performance problems that did not appear to be with disk subsystems, CPU, or networks. Now disk I/O and CPU capacity were no longer an issue.

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Detecting Speech and Music in Audio Content

The Netflix TechBlog

Training examples were produced between 2016 and 2019, in 13 countries, with 60% of the titles originating in the USA. We adapted the SOTA convolutional recurrent neural network ( CRNN ) architecture to accommodate our requirements for input/output dimensionality and model complexity.

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The Performance Inequality Gap, 2023

Alex Russell

TL;DR : To serve users at the 75 th percentile ( P75 ) of devices and networks, we can now afford ~150KiB of HTML/CSS/fonts and ~300-350KiB of JavaScript (gzipped). This is a slight improvement on last year's budgets , thanks to device and network improvements. That is, what was the average device in 2016?

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Engineering a Studio Quality Experience With High-Quality Audio at Netflix

The Netflix TechBlog

surround audio in 2010, and began streaming Dolby Atmos in 2016 , but wanted to bring studio quality sound to our members around the world. This approach selects the audio bitrate based on network conditions at the start of playback. Constrained environments can be due to changing network conditions and device performance limitations.

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What is chaos engineering?

Dynatrace

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. Chaos engineering matured at organizations such as Netflix, and gave rise to technologies such as Gremlin (2016) , becoming more targeted and knowledge-based.

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BPF Theremin, Tetris, and Typewriters

Brendan Gregg

In the video I explained how I arrived at tracing __iwl_dbg() in this way, and how you can follow a similar approach for tracing unfamiliar code. This is not my best code, since I hacked it in a hurry, but here it is: #!/usr/bin/python usr/bin/python # # iwlstrength.py iwl wifi stregth as audio # For Linux, uses BCC, eBPF.

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How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

A role in data science eventually seemed like a natural transition, but it wasn’t without its hurdles: With my consulting background, I had to go through a few other roles first while learning how to code on the side. How does a decision of this scale affect the efficiency of our globally distributed content delivery network, Open Connect ?

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