##About Rootconf Hyderabad:
Rootconf Hyderabad is a platform for:
- DevOps engineers
- Site Reliability Engineers (SRE)
- ML and data engineers
- Security and DevSecOps professionals
- Software engineers
to discuss real-world problems around:
- Site Reliability Engineering (SRE)
- Data and AI engineering
- Distributed systems -- observerability, microservices
- Implementing Infrastructure as Code
Speakers from Flipkart, Hotstar, Intuit, GO-JEK, MadStreetDen and Trusting Social will share their experiences with the above challenges.
##Event venue:
Rootconf Hyderabad will be held at T-Hub, IIIT-Hyderabad Campus, Gachibowli, Hyderabad, Telangana - 500032
##Contact information:
For bulk ticket purchases,sponsorship and other inquiries, contact sales@hasgeek.com or call 7676332020
#Sponsors:
Click here to view the Sponsorship Deck.
Rootconf Hyderabad 2019 sponsors:
#Platinum Sponsor
 |
 |
#Bronze Sponsors
 |
 |
 |
For information about the event, tickets (bulk discounts automatically apply on 5+ and 10+ tickets) and speaking, call Rootconf on 7676332020 or write to info@hasgeek.com.
NC
N. CHATURV3DI
@chaturv3di
Absynthe: Artificial Behaviour Synthesiser
Submitted Jun 18, 2019
Section:
Crisp talk
Technical level:
Intermediate
Session type:
Demo
Category:
Monitoring and logging
Section:
Full talk (40 mins)
Absynthe came about in response to the need for test data for analysizing the performance and accuracy of log analysis algorithms. Even though plenty of real life logs are available, e.g. /var/log/ in unix-based laptops, they do not serve the purpose of test data. For that, we need to understand the core application logic that is generating these logs.
A more interesting situation arises while trying to test log analytic (and anomaly detection) solutions for distributed applications where multiple sources or modules emit their respective log messages in a single log queue or stream. This means that consecutive log lines could have originated from different, unrelated application components. Absynthe provides ground truth models to simulate such situations.
You need Absynthe if you wish test data to evaluate algorithms that model the behaviours of any well defined process -- whether it’s a computer application or a business process flow.
Outline
- Motivation
- Overview of
absynthepackage - Hands-on examples
- What’s next
Requirements
- Basic understanding of Python
- Basic understanding of log analysis
Speaker bio
Namit Chaturvedi is a computer science researcher, currently working at LinkedIn. He obtained his PhD in logic and automata theory in 2015 and transitioned to the world of machine learning and AI. He has previously worked on diverse projects, from load balancing on distributed systems to applying automata theory for physical access control. He has 10 publications in peer-reviewed conferences and journals; and jointly holds 2 technology patents.
His interests include outdoor sports, history of science, effect of science and technology on societies, and beer.
Links
- https://github.com/chaturv3di/absynthe
- https://medium.com/@chaturv3di/absynthe-a-branching-behaviour-synthesiser-85fcfa7b466b
Slides
https://docs.google.com/presentation/d/1OYFpb4N1CZ_5RA-n8-KYRb8rRG5ZCZpdKIIMTdZWZJc/edit?usp=sharing
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}