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Talk Python To Me

#65: Jump on the real-time web with RethinkDB

Talk Python To Me

Michael Kennedy

Technology

4.8635 Ratings

🗓️ 29 June 2016

⏱️ 59 minutes

🧾️ Download transcript

Summary

Long gone are the days of the web acting as just linked documents and glorified brochures. Web apps of today are just that, rich interactive applications. But unlike desktop apps of old, these are apps with 100,000's or even millions of concurrent users.

Transcript

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0:00.0

Long gone are the days of the web acting just like linked documents and glorified brochures.

0:05.4

Web apps of today are just that, rich interactive applications.

0:08.6

But unlike your average desktop app, these are apps with hundreds of thousands or even millions of concurrent users.

0:14.9

We expect these apps will instantly reflect changes to the data, potentially made by any of these many users connected to the system

0:21.1

while we're using them. This has put a strain on the web servers, databases, and architecture

0:25.9

in general of our web apps. Technology has responded by delivering amazing real-time capabilities

0:31.4

with things like Web Sockets and Signal are the client layer and event-driven systems on the web servers.

0:36.7

But what about the database?

0:38.4

Could it be events all the way down?

0:41.0

That was the goal of RethinkDB's co-founders when they pitched it to Y Combinator.

0:45.4

Now it's time to hear the story of RethinkDB with Slava Akshammet.

0:49.0

This is Talk Python to Me.

0:50.8

Episode 65 recorded June 22nd, 2016.

0:55.6

I'm a developer, developers, developers, developers, developers.

0:58.2

I'm a developer in many senses of the word because I make these applications, but I also

1:03.5

use these verbs to make this music. I constructed line by line, just like when I'm coding

1:08.6

another software design. In both cases, it's about design patterns.

1:13.6

Anyone can get the job done.

1:14.9

It's the execution that matters.

1:16.7

I have many interests.

1:18.1

Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

1:25.6

This is your host, Michael Kennedy.

...

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