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An engineer’s guide to making sense of log data

An engineer’s guide to making sense of log data

Cloud native technologies have made it harder to understand how systems are behaving. Logs are the answer, but how do you make sense of them?

Asaf Yigal, Neelesh Salian and Matthew Hawthorne

Date & time

17:00 BST


Before cloud native technologies, it was easier to understand how your systems were behaving.

But these days, as microservices scale and become more distributed, the volume and variety of log and event data they produce can be overwhelming. But it’s also because of this complexity that it’s more important than ever for cloud and DevOps engineers to be able to distinguish between valuable information and noise, and identify crucial trends – as well as potential security threats.

In this panel, observability experts explain why a log management strategy is crucial if you want to accurately assess the health and compliance of your applications.

Register now to learn how to:

  • How to filter out noise and prioritize critical events
  • Techniques to correlate logs across different services and environments
  • The role of AI in root cause analysis
  • Managing the cost of high data volumes
     

Featuring:

Matthew Hawthorne

Matthew Hawthorne

Independent Software Consultant
Supreme Informatics

Neelesh Salian

Principal Software Engineer
Datavant

Asaf Yigal

Co-Founder and CTO
Logz.io

In partnership with

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