Several tools can be utilized at various hierarchical levels to track and analyze system needs and performance.
At the cluster level, performance parameters are leveraged to track compute, latency, and more, down to the physical disk.
The vSphere client portal is part of the VMware suite. It provides out-of-the-box charts to view real-time and historical VM performance of:
- CPU
- Memory
- Memory rate
- Disk and network traffic
There are several ways to collect analytics for overall equipment efficiency, predictive maintenance, and identifying faults.
Complex analytics can be developed using a rich set of tools, including REST API, Python, Java Scripting, and database-level analytics tools like PowerBI, Tableau, and others.
Different ISV applications also offer visualization and analytics using the ISV's native capabilities. They can be leveraged to have better synergies with existing processes for those applications.
When leveraging SDP as the common collaboration platform for data services, an SDP Grafana instance can be used for visualization for data persisted on SDP using the available database sinks in SDP (InfluxDB and TimescaleDB). SDP APIs, such as Pravega Search REST API, also offer UI-based dashboard or external tool development capabilities. External APIs and cloud connectivity can also be leveraged for cross-ISV application visualization and analytics.
