DevOps Paradox

DOP 201: Getting to the Root Cause With Zebrium

Mar 8, 2023

46:57

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Highlights

AI Chapters

Episode notes

Machine Learning and Anomaly Detection

04:51

DevOps scAST Says Orbitoc - What's the Best Way to Get in Touch?

01:43

How to Extract Root Cause From IKE Logs

02:50

Introduction

2min

How Many Times Have You Done RM-RF?

2min

The Life of the Frontline Escalator Engineer

3min

Cloud Native Applications - What Are the Processes?

2min

Building More Intelligence Through Incidences

6min

What's the Classic Workflow?

3min

How to Extract Root Cause From IKE Logs

3min

Log Analytics Is Not Fully Fast-Based

2min

Cloud Native - Is There a World of Failure Mode in Cloud Native?

3min

10.

What's the Worst Cause of a SaaS Application?

4min

11.

Zibrium - Root Cause as a Service?

2min

12.

How Do You Troubleshoot Using Logs?

2min

13.

Machine Learning and Anomaly Detection

5min

14.

Using a New Tool to Automate Monitoring and Incident Management

4min

15.

Machine Learning or the Whole Time?

3min

16.

DevOps scAST Says Orbitoc - What's the Best Way to Get in Touch?

2min

#201: As an application developer, we’re used to adding logging to our applications. We also work with our operations counterparts to enrich those logs to help them out when troubleshooting. But what happens during an incident when the logs are flowing so fast that neither you nor the operations people can keep up? That’s where machine learning can help.

In this episode, we speak with Ajay Singh, CEO at Zebrium, about why humans need help troubleshooting issues and how machine learning helps detect outliers and solve those last mile problems.

Ajay’s contact information:

LinkedIn: https://www.linkedin.com/in/ajaysingh3/

YouTube channel:

https://youtube.com/devopsparadox/

Books and Courses:

Catalog, Patterns, And Blueprints

https://www.devopstoolkitseries.com/posts/catalog/

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https://www.devopsparadox.com/review-podcast/

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