IBM Platform Analytics Administration for LSF
IBM Platform Analytics Administration for LSF is designed to help administrators deploy and manage the IBM Platform Analytics solution for Load Sharing Facility (LSF). It covers configuration, performance monitoring, and troubleshooting of analytics tools used in HPC environments. This training ensures effective visualization and analysis of LSF job and resource data.
Key Features of IBM Platform Analytics Administration for LSF
- Integrated Dashboards: Pre-built dashboards for LSF workload monitoring using IBM Cognos and Grafana.
- Historical Data Analysis: Allows collection and visualization of historical job data for trend analysis.
- Advanced Reporting: Create, schedule, and customize detailed workload reports.
- Automated Data Collection: Automatically collects and organizes LSF job data into a central repository.
- Resource Usage Insights: Visualize usage of CPUs, memory, and hosts across clusters.
- User and Group Analysis: Track job submission and execution metrics by user or group.
- Alerting and Notifications: Supports proactive alerting based on customizable thresholds.
- Support for Multi-Cluster Environments: Aggregate analytics data across multiple LSF clusters.
- Role-Based Access Control: Secure and manage access to analytics features by role.
- Scalability: Designed to handle large volumes of job and resource data from enterprise-scale deployments.
Basic knowledge of IBM LSF (Load Sharing Facility) and its architecture is essential.Familiarity with Linux/Unix commands and shell scripting for system administration tasks.Understanding of data analytics tools like Grafana, IBM Cognos, or basic SQL is beneficial.
Skills Needed Before learning IBM Platform Analytics Administration for LSF
- Basic knowledge of IBM LSF architecture and workload management
- Familiarity with Linux/Unix commands and shell scripting
- Understanding of data analytics tools like Grafana, IBM Cognos, or basic SQL.
- IBM Platform Analytics & LSF Overview
- Installation and Configuration of Analytics Components
- Data Collection and Integration with LSF
- Dashboard Setup Using Grafana and IBM Cognos
- Report Creation and Scheduling
- Monitoring and Troubleshooting Analytics Platform
- Role-Based Access Control and Security
- Best Practices and Performance Optimization
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