Reduce stress, improve engineer performance with ai-driven log analytics
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Reduce stress, improve engineer performance with AI-driven log analytics

On Demand

Organizations today rely on key applications running on complex multi-cloud environments to transact business and work. Modern businesses generate petabytes of machine data in the form of logs and events, which emanate from every part of the technology stack.

While logs can give crucial insights into the performance of your applications, automation can quickly sift through all that data to take the stress out of troubleshooting an issue. For engineers, this means less time fixing issues, shortening MTTR, and more time spent on coding.

In this session Manas Sharma, product manager, Michael Riordan, product marketing manager at Sumo Logic, and Rachel Stephens, Industry Analyst at RedMonk, will discuss:

  • The challenges of having the right data to get the best insights
  • Why log analytics that leverages automation is essential for fast troubleshooting
  • How automation can help reduce stress and improve engineering performance
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