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Docker-Composing Your Way to a Better Development Environment
--client
pyohio
--show
pyohio_2019
--room cartoon2 14861 --force
Next: 12 Building Docs like Code: Continuous Integration for Documentation
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Marks
Author(s):
Ricardo Solano
Location
Cartoon 2
Date
jul Sat 27
Days Raw Files
Start
15:00
First Raw Start
14:31
Duration
0:30:0
Offset
0:28:36
End
15:30
Last Raw End
15:31
Chapters
00:00
0:01:01
Total cuts_time
28 min.
https://www.pyohio.org/2019/presentations/85
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By the end of this talk, audience members will understand the following concepts: - Running application services/dependencies inside containers and its advantages and disadvantages. - Defining application environment and services via Dockerfile, docker-compose.yml configuration files. - Managing the environment using the `docker-compose` CLI. To illustrate these concepts, a Django application will be configured to use a database, a cache, a queue and task worker. Development environments can become cumbersome over time, with setup occasionally filling multiple pages of documentation and making onboarding new team members a difficult task. Whether you deploy your Python application using containers or not, Docker Compose is a great tool for defining development environments that closely mirror production and can be spun up with a single command.
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production notes
2019-07-27/14_31_24.ts
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seconds: 974.0
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