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#42: Flow control and backpressure: slowing down to remain stable
Manage episode 293875704 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Imagine two independent systems communicating with each other. One producing data and the other consuming it. There must be some place where data is buffered. Just in case the producer generated some data but the consumer is currently busy. For example, incoming requests, messages, packets - must wait. Sooner or later, this buffer overflows and either starts dropping data or crashes altogether. Moreover, large buffers imply growing latency between production and consumption. The consumer is perceived less responsive because data waited for a long time in queue. Especially when nothing is prioritized, so first come, first served. Also known as FIFO, first in, first out.
Read more: https://256.nurkiewicz.com/42
Get the new episode straight to your mailbox: https://256.nurkiewicz.com/newsletter
98 episodes
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Manage episode 293875704 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Imagine two independent systems communicating with each other. One producing data and the other consuming it. There must be some place where data is buffered. Just in case the producer generated some data but the consumer is currently busy. For example, incoming requests, messages, packets - must wait. Sooner or later, this buffer overflows and either starts dropping data or crashes altogether. Moreover, large buffers imply growing latency between production and consumption. The consumer is perceived less responsive because data waited for a long time in queue. Especially when nothing is prioritized, so first come, first served. Also known as FIFO, first in, first out.
Read more: https://256.nurkiewicz.com/42
Get the new episode straight to your mailbox: https://256.nurkiewicz.com/newsletter
98 episodes
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Similar to Around IT in 256 seconds
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
WSJ’s Bold Names brings you conversations with the leaders of the bold-named companies featured in the pages of The Wall Street Journal. Hosts Tim Higgins and Christopher Mims speak to CEOs and business leaders in interviews that challenge conventional wisdom and take you inside the decisions being made in the C-suite and beyond.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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