/> Training Video

Analytics in VAST Management System GUI - Explanation

This video from VAST Data Customer Education provides a comprehensive overview of the powerful analytics and performance monitoring capabilities within the VAST Management System (VMS) GUI. For storage administrators, this tutorial explains how to utilize these tools for real-time monitoring, historical analysis, and effective performance troubleshooting on a VAST cluster. VAST Data’s analytics engine constantly collects a rich set of metrics—including performance, capacity, and events—from every component in the system at 10-second intervals. The video details the data retention policy, which aggregates this granular data over time to provide insights ranging from the past 24 hours to a full year of history. We also note that this data can be accessed via the VMS GUI, VCLI, API, or exported to external monitoring solutions like Grafana via a Prometheus exporter. The demonstration walks through the key analytic tools available in the VMS:

  • Dashboard: A high-level, at-a-glance view of the cluster's current state, displaying key performance metrics like IOPS, throughput, and latency, along with a summary of capacity usage.

  • Data Flow: An intuitive, exploratory tool that visualizes the flow of data from clients, through VIP pools and CNodes, down to individual views. This is ideal for quickly identifying "noisy neighbors" and understanding where resources are being consumed.

  • Top Actors: A focused reporting tool that clearly identifies the top users, hosts, or views by their resource usage, simplifying the process of pinpointing performance bottlenecks.

  • In-depth Analytics: This powerful tool allows for deep-dives into metrics on a per-user, per-view, per-CNode, or even per-SSD basis, enabling granular performance analysis.

  • Capacity Metrics: Provides detailed insights into data reduction ratios (deduplication and compression) and the breakdown of logical, physical, and free space.

This tutorial is designed to equip VAST Data operators with the knowledge to effectively use VMS analytics for routine performance management, capacity planning, and proactive storage troubleshooting.

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