From the course: Reliability Engineering in the Cloud by Pearson

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Applying ML and GenAI to CRE

Applying ML and GenAI to CRE

From the course: Reliability Engineering in the Cloud by Pearson

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Applying ML and GenAI to CRE

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Now that we know some of the foundational definitions of AI, let's see how we apply ML and Jena AI to our CRE Cloud Reliability Engineering Practices. The introduction of AI into CRE has opened new possibilities for proactive observability, intelligent automation, and advanced analytics. Using these capabilities, organizations can improve systems reliability and reduce incidents and improve the availability of critical applications. The integration of these technologies into CRE offer multiple benefits. For example, proactive issue detection and resolution, improve application performance management, automated alerting and escalation for incident management, security threat detection, improved monitoring, predictive analysis, predictive maintenance, enhanced decision-making, simulation and testing, improved documentation and knowledge sharing, cost efficiencies, improved user experience, customer service and support, etc. Let's dive into some of these scenarios to make it real. In…

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