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Autonomous Incident and Root Cause Detection


Think About Your Audience Before Choosing a Webinar Title

Sponsored by ZEBRIUM

Tuesday, July 7, 2020
1 pm EDT

DevOps teams strive to automate everything. But finding incident root cause is still manual (hunting  through logs and dashboards), and there is a long tail of problems for which automated detection rules don't exist. This is only getting worse as microservices, cloud and modern application architectures cause complexity and the number of possible failure modes to explode.

Fortunately, machine learning can be used to automate problem detection and root cause characterization. Software tends to break in ways that are noticeable as pattern changes in logs and metrics. Machine learning models can spot these anomalous pattern changes by looking for hotspots of correlated anomalies across logs and metrics streamed from a running application.

Join this webinar as we explore and demonstrate:

  • Current state of monitoring and logging tools
  • Machine learning techniques for anomaly detection in logs and metrics
  • Deep dive on the Zebrium implementation of multi-layer ML for Incident and root cause detection
  • Live demo of the technology showing two use cases:
    1. Zebrium ML detects and finds root cause of a problem using logs and metrics
    2. A third-party tool detects a problem and Zebrium ML finds the root cause
Larry Lancaster
Founder and CTO - Zebrium
Larry started Zebrium with the vision that machine learning could be used to automatically detect software incidents by structuring and learning patterns in logs and metrics. Before Zebrium, Larry was Chief Data Scientist at Nimble Storage, founding that company's data science team and architecting/implementing their peta-scale platform for automation and analytics. He also started NetApp's Engineering Informatics Group as Senior Engineer, invented Glassbeam's ETL-focused SPL technology as CTO/Co-Founder, and received a leadership award from the International Congress on Neural Networks as graduate student.
Scott McAllister
Developer Advocate - PagerDuty
Scott McAllister is a Developer Advocate for PagerDuty. He has been building web applications in several industries for over a decade. Now he's helping others learn about a wide range of web technologies. When he's not coding, writing or speaking he enjoys long walks with his wife, skipping rocks with his kids, and is happy whenever Real Salt Lake can manage a win.
Gavin Cohen
VP Product - Zebrium
Gavin has over 20 years of experience across a diverse range of roles and is responsible for Product and Marketing strategy at Zebrium. Prior to joining Zebrium, he was VP of Product and Solutions Marketing at Nimble Storage where he redefined the company’s category and positioning. Prior to Nimble, he was the Field CTO at NetApp in Asia Pacific. He has also held senior product management, business development and technical evangelist roles in Australia and the U.S.​ Gavin has a Bachelor of Computer Science and an MBA.

On-Demand Viewing:

What You’ll Learn in This Webinar

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