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#46: Kubernetes: Orchestrating large-scale deployments
Manage episode 296232273 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.
Kubernetes is a platform for managing various workloads inside containers. Before I jump into a definition, let’s describe the problems it tries to solve. Imagine your application consists of several components. It can be microservices, multi-layer application, etc. Each type of component needs to be deployed on multiple servers. First of all, to support fault tolerance, but also to achieve horizontal scaling. Doing this by hand is quite problematic. Manually tracking which servers should host which components is tedious and error-prone. You need to take into account: * CPU and memory requirements of each component * discoverability (where each component is located) * provisioning (different components need different libraries and packages) * scaling out and migrating from broken servers * and so on, and so forth
Read more: https://256.nurkiewicz.com/46
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Manage episode 296232273 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.
Kubernetes is a platform for managing various workloads inside containers. Before I jump into a definition, let’s describe the problems it tries to solve. Imagine your application consists of several components. It can be microservices, multi-layer application, etc. Each type of component needs to be deployed on multiple servers. First of all, to support fault tolerance, but also to achieve horizontal scaling. Doing this by hand is quite problematic. Manually tracking which servers should host which components is tedious and error-prone. You need to take into account: * CPU and memory requirements of each component * discoverability (where each component is located) * provisioning (different components need different libraries and packages) * scaling out and migrating from broken servers * and so on, and so forth
Read more: https://256.nurkiewicz.com/46
Get the new episode straight to your mailbox: https://256.nurkiewicz.com/newsletter
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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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…
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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