Rootconf proposals for round the year in 2018

Rootconf proposals for round the year in 2018

On DevOps, security, cloud and IT infrastructure

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  1. Security
  2. DevOps
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Deepanshu Mehndiratta

@deepanshu

Automated Anomaly Detection in Time-series data using Deep Neural Networks

Submitted Nov 8, 2017

A project to automatically detect anomalies in large-scale time-series data. It works by first building a reusable Deep-Learning model which is trained on seasonal data and used to create a one-day predict-ahead time series. Then a number of errors E are computed by comparing the expected value with the actual value at time t. The thresholds on E are automatically defined and most probable actionable anomalies are tagged. The drift is learned via predict ahead Deep-Learning, while the trend is learned using seasonality. Suitable for both system and business metrics and works best with correlated dashboards for both kind of metrics to establish a cause-effect relationship.

Outline

A project to automatically detect anomalies in large-scale time-series data. It works by first building a reusable Deep-Learning model which is trained on seasonal data and used to create a one-day predict-ahead time series. Then a number of errors E are computed by comparing the expected value with the actual value at time t. The thresholds on E are automatically defined and most probable actionable anomalies are tagged. The drift is learned via predict ahead Deep-Learning, while the trend is learned using seasonality. Suitable for both system and business metrics and works best with correlated dashboards for both kind of metrics to establish a cause-effect relationship.

Speaker bio

Senior Systems Engineer at Media.net (Directi), working on Deep Learning in Time-series data and Large scale distributed Deep Packet Inspection for Intrusion detection and performance troubleshooting systems

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Amardeep Vishwakarma

MyTrend for MySQL

Data – the heart of any website. MySQL – most websites (including ours) are powered by it. With increasing transactions, servers and database sizes, it was becoming a pain to manage and monitor all of it. We thus built MyTrend – an ingenious tool to monitor data growth trend and server space utilization simple enough to be customized easily. more

19 Mar 2018