Proactive System Failure Detection with Log Analysis

Animesh Dutta (~animesh1)


7

Votes

Description:

System failures can be costly and disruptive, but they can be prevented by proactively detecting potential failures before they occur using effective log analysis.

We will start by discussing the basics of log analysis, and then we will show how to use machine learning to identify patterns in log data that can indicate an impending failure. We will also discuss how to implement a proactive system failure detection system.

Agenda:

  • Introduction to log analysis
  • Identifying patterns in log data
  • Using machine learning to predict system failures
  • Implementing a proactive system failure detection system

Prerequisites:

Basic knowledge of Python and Machine Learning.

Speaker Info:

I am a software engineer at Qualcomm working in mobile division. I have experience working with compression algorithms and enjoy exploring the visualization and analysis of memory usage patterns. Prior to this, I have worked with a few startups focussing on Machine Learning and Computer Vision. With a keen eye for innovation and problem-solving, I love sharing my knowledge and insights with others. Let's explore the exciting realm of technology together!

Section: Data Science, AI & ML
Type: Talks
Target Audience: Intermediate
Last Updated: