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32: ARM-ing ourselves with Google Axion, Part 2

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Manage episode 520226299 series 3419329
Content provided by Spotify R&D and Spotify R. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Spotify R&D and Spotify R 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://podcastplayer.com/legal.

In part two of ARM-ing ourselves with Google Axion, Dave is joined by Max Charas, a senior staff engineer at Spotify who’s been leading much of the migration work on our Google Axion journey, for a deep dive into the validation and technical side of our move to Google’s new ARM-based processors.

Dave and Max unpack what went smoothly, what got bumpy, and what you only discover when you try to run thousands of services on brand-new silicon. Expect the usual nerdiness — performance gains, per-core scaling, bin-packing puzzles — as well as look at the less glamorous bits like discount models, capacity planning, and the logistical reality of working with real hardware. Because as it turns out, the hardest parts weren’t always technical. It was the massive coordination effort behind them that became a logistical puzzle on a global scale.

This episode is a practical look at how a large-scale system evolves when its foundation shifts — and how much just works when you’ve built solid abstractions.

Learn more about Google Axion Processors:

Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com

You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!

  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 520226299 series 3419329
Content provided by Spotify R&D and Spotify R. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Spotify R&D and Spotify R 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://podcastplayer.com/legal.

In part two of ARM-ing ourselves with Google Axion, Dave is joined by Max Charas, a senior staff engineer at Spotify who’s been leading much of the migration work on our Google Axion journey, for a deep dive into the validation and technical side of our move to Google’s new ARM-based processors.

Dave and Max unpack what went smoothly, what got bumpy, and what you only discover when you try to run thousands of services on brand-new silicon. Expect the usual nerdiness — performance gains, per-core scaling, bin-packing puzzles — as well as look at the less glamorous bits like discount models, capacity planning, and the logistical reality of working with real hardware. Because as it turns out, the hardest parts weren’t always technical. It was the massive coordination effort behind them that became a logistical puzzle on a global scale.

This episode is a practical look at how a large-scale system evolves when its foundation shifts — and how much just works when you’ve built solid abstractions.

Learn more about Google Axion Processors:

Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com

You should follow us on Twitter @SpotifyEng, LinkedIn, and YouTube!

  continue reading

35 episodes

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