#43: Monitoring high performance Python apps at Opbeat

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 26 January 2016

⏱️ 40 minutes

🔗️ Recording | iTunes | RSS

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Summary

What does it take to track detailed analytics and errors from literally thousands of web applications all at once? Could you build such a system entirely in Python?

Transcript

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0:00.0	What does it take to track detailed analytics and errors from literally thousands of web applications at once?
0:06.1	Could you build such a system entirely in Python?
0:09.0	Answer is yes, and we'll hear from Ron Cohen from Opbeat about how they do it for Django, Flask, and even Node.js apps.
0:16.4	This is episode 43, January 13th, 2016.
0:21.9	I'm a developer, developers, developers, developers, developers.
0:24.4	I'm a developer in many senses of the word because I make these applications, but I also use these verbs to make this music.
0:32.1	I constructed line by line, just like when I'm coding another software design.
0:36.7	In both cases, it's about design patterns.
0:39.8	Anyone can get the job done.
0:41.2	It's the execution that matters.
0:42.9	I have many interests.
0:44.7	Sometimes you can find out.
0:45.1	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
0:52.5	This is your host, Michael Kennedy.
0:54.0	Follow me on Twitter where I'm at M. Kennedy.
0:56.1	Keep up with the show and listen to past episodes at talk python.fm.
0:59.8	And follow the show on Twitter via at talk python.
1:03.5	This episode is brought to you by Hired and SnapCi.
1:06.9	Thank them for supporting the show on Twitter via at Hired underscore HQ and at SnapCi.
1:12.9	Hey, everyone.
1:14.1	Do you remember that t-shirt Kickstarter I did last summer to create a cool Talk Python to Me podcast t-shirt?
1:20.4	It was super successful reaching its funding goal within just two hours.
	...

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