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Agenda

1. Scaling LinkedIn Infrastructure Management with Python Eco-System by Bhupendra Singh and Veerabahu Subramanian : 10.15 - 11.00

In this talk, Infrastructure Automation Team @LinkedIn, will reveal “How does LinkedIn manage its fast-paced, heterogeneous and distributed infrastructure?”. Audience will get to know the power of “Python Ecosystem”, that’s helping us develop the envisioned “Infrastructure Management Suite”. Audience will be introduced to certain out-of-box python features that help address the FCAPS needs of any infrastructure.

2. Avoiding common pitfalls of datetime from a webapp's perspective by Indradhanush : 11.00 - 11.45

The datetime module is easily one of the most used standard libraries of Python. Yet, most of us struggle using it without hitting a snag or two, especially when one has to take care of multiple timezones. This talk is aimed at identifying such snags and how to fix them.

https://in.pycon.org/cfp/pycon-india-2015/proposals/time-travel-with-python/ ;

3. Break - 11.45 - 12.00

4. Python, Salt, BitTorrent : Cross­colo data transfer at 10GB/s by Akhil Malik - 12.00 - 12.45

A walkthrough of LinkedIn’s cache management automation framework. In this talk, we will be presenting architectural overview of our cache management automation framework and how the framework is essentially a general purpose file transfer cluster that uses BitTorrent for transferring data.

5. Explore Big Data using Simple Python Code and Cloud Environment by Hari - 12.45 - 1.15

The main intention of the talk is to create a confidence that any one with basic knowledge in python can start exploring Public Data sets by leveraging cloud infrastructure. During the talk author will show a demo of processing a public data set ( wikipedia logs) of about 100 GB and get insights of the data ( say top 20 pages accessed in Wikipedia English over one month) with less than 30 lines of simple python code and by using amazon EMR ( Elastic Map Reduce ) which is a service provided by Amazon which takes care of provisioning of the computing power and also installation and configuration of Hadoop Map Reduce Cluster.

Venue:

LinkedIn Technology Information,

ETAMIN Building 8th Floor A wing,

Kadubeesanahalli, Bellandur Amanikere

Contact:

Kracekumar:[masked]