Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Who should attend
Sales Engineers Services Support Business Partners Customer
Prerequisites
Before taking this course, you should have the following skills:
- Basic understanding of application/network monitoring technology
- Basic Linux operating system skills to navigate and run basic commands
Course Objectives
This class provides an overview of the Predictive Insights product. It introduces analytics and how you use them to create automated thresholds. It also describes how Predictive Insights draws relationships between key performance indicators (KPIs). You learn how to select useful KPIs from monitored data and develop data models that are fed into the analysis engine. You also learn how to install and configure the analysis engine to account for different monitoring environments, use the interface, and interpret various alarms. You also learn how to complete advanced data mediation techniques using the open-source tool logstash.
Course Content
This class provides an overview of the Predictive Insights product. It introduces analytics and how you use them to create automated thresholds. It also describes how Predictive Insights draws relationships between key performance indicators (KPIs). You learn how to select useful KPIs from monitored data and develop data models that are fed into the analysis engine. You also learn how to install and configure the analysis engine to account for different monitoring environments, use the interface, and interpret various alarms. You also learn how to complete advanced data mediation techniques using the open-source tool logstash.
Moyens Pédagogiques :