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#48: Distributed tracing: find bottlenecks in complex systems
Manage episode 301701713 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://player.fm/legal.
Life used to be simple. In a traditional monolithic application, when a failure occurred, you could easily find the problem. When an exception bubbles up, it appears throughout all stack frames. You can easily examine which methods or functions were invoked from each other. You can see application layers involved. Moreover, it’s fairly easy to profile performance bottlenecks. Answering these questions becomes much harder when there are multiple systems involved.
Read more: https://nurkiewicz.com/48
Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter
98 episodes
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Manage episode 301701713 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://player.fm/legal.
Life used to be simple. In a traditional monolithic application, when a failure occurred, you could easily find the problem. When an exception bubbles up, it appears throughout all stack frames. You can easily examine which methods or functions were invoked from each other. You can see application layers involved. Moreover, it’s fairly easy to profile performance bottlenecks. Answering these questions becomes much harder when there are multiple systems involved.
Read more: https://nurkiewicz.com/48
Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter
98 episodes
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Similar to Around IT in 256 seconds
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continue reading
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continue reading
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