IBM Operations Analytics Predictive Insights 1.3.3 Implementation and Configuration
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.
Duration: 30-35hrs
Course Content:
Predictive Insights overview
- The value of analytics
- Building a data model
- Detectors
- Training the server
- Discovering relationships
- Reducing noise
- Architectural information
Solution architecture
- Sizing the solution
- Installation
Installation overview
- Validating the installation
- Data sources and modeling
Selecting useful KPIs
- Working with data sources
- Modeling data sources
- Configuring and operating the server
Configuring server properties
- Starting and monitoring analysis
- Enriching and filtering alarms
- Interacting with alarms
- Administration and troubleshooting
User interface with DASH
- Data extraction, housekeeping, and properties
- Troubleshooting
- Advanced mediation techniques
Logstash
- Mediating customer databases