Logs contain a wealth of information but are often overwhelming to analyze manually, especially at scale. This talk explores how Machine Learning (ML) techniques can revolutionize log analysis for Site Reliability Engineers (SREs) by automating pattern recognition.
Site Reliability Engineering (SRE) has evolved from manual incident response to automated workflows, but AI is unlocking the next major shift—self-healing infrastructure. What if failures could be predicted, prevented, and resolved autonomously, without human intervention? ## Keynote Overview In this keynote, I will explore: - AI-Driven Failure Prediction How AI is enabling the prediction,...
Learn for free, join the best tech learning community
Event notifications, weekly newsletter
Access to all content