Dev Ops For Machine Learning

Debashish Pattnaik (~debashish)


13

Votes

Description:

With increasing complexity of today's systems, it's becoming difficult to deploy your solution. Using Ansible you can take out the complexity from deployment and one can automate as much as possible.

In this talk I will discuss about how to deploy complex Machine Learning systems using Ansible.

Prerequisites:

Python, Linux

Content URLs:

https://docs.google.com/presentation/d/1l8pIgh06_l5hnWsBrtSailsv0E-KcTToSw2Id3r7JOo/edit?usp=sharing

I have shared a brief overview of what the talk will be about and what attendees can expect out of it.

Speaker Info:

I am one of the founder at Snapshopr inc. Snapshopr is an Visual Intelligence platform helping brands, publishers and retailers to make use of visual data to provide better search solutions to their users.

Section: Infrastructure
Type: Talks
Target Audience: Intermediate
Last Updated:

The proposal does not have adequate detail about the outcome from this talk - what can the audience get done after this talk? Also, the prerequisites section is somewhat vague.

The current form of the proposal seems to be about "how to use Ansible for consistent deployments" while the ML systems are a workload specific aspect of it. Perhaps the author would (re)consider the description.

sankarshan mukhopadhyay (~sankarshan)

Surely I will update more details about this talk. This will give you a clear idea about the topic and also the takeaways.

Debashish Pattnaik (~debashish)

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