Usage Measurement Template
New Feature Announcement
Paigo has introduced native Azure Usage Measurement support! See detailed documentation from Virtual Machine Compute Time on Azure (Measurement Template)and Managed Disk on Azure (Measurement Template)
Usage measurement templates are predefined sets of configurations of measurements and dimensions for commonly used SaaS product usage. For example, compute time is a commonly defined product metric by many infrastructure SaaS business. Paigo has several templates for compute time measurement and dimension configurations. See below table for the supported usage measurement templates.
Measure pod running time in Kubernetes with minute-level precision
Measure EC2 instance running time with minute-level precision
Measure network egress from EC2 instance with byte-level precision
Measure EBS volume size with gigabyte-level precision
Measure EBS snapshot size with gigabyte-level precision
Measure Azure VM running time with minute-level precision
Measure the size of Azure managed disk, with gigabyte-level precision
Collect usage based on data in S3 objects
Following properties are measurement properties and their values predefined for the templates:
- Measurement Frequency The frequency that Paigo measures the usage as the atomic usage data.
- Precision The precision of atomic usage data Paigo measures.
Once a measurement is used to populate usage data for a dimension, the dimension configuration is automatically decided based on the configuration of measurement. For example, if the measurement is measuring the compute time, then the dimension unit can only be time-based unit such as Hour. Any other value such as gigabyte will be rejected as invalid.
The Following properties are dimension properties and their values predefined for the templates.
- Aggregation Method
- Aggregation Interval
- Usage Increment