Reduce Stress and Improve Engineer Performance with AI-Driven Log Analytics
Modern businesses generate vast amounts of machine data, including logs and events, from every layer of their technology stack. While logs offer vital insights into application performance, automation can rapidly process this data, alleviating the stress of troubleshooting. For engineers, this translates to reduced time spent on fixing issues, shortened Mean Time to Repair (MTTR), and increased focus on coding. In this session, Manas Sharma and Michael Riordan from Sumo Logic, along with Rachel Stephens from RedMonk, will discuss:
- The challenges of obtaining the correct data for optimal insights
- The necessity of automated log analytics for quick troubleshooting
- How automation reduces stress and enhances engineering performance
Watch now!