> For the complete documentation index, see [llms.txt](https://docs.paigo.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.paigo.tech/usage-metering/usage-measurement-template.md).

# Usage Measurement Template

{% hint style="success" %}
**New Feature Announcement**

Paigo has introduced native Azure Usage Measurement support! See detailed documentation from [Infrastructure-based Method](/usage-metering/infrastructure-based-method.md#virtual-machine-compute-time-on-azure-measurement-template)and [Infrastructure-based Method](/usage-metering/infrastructure-based-method.md#managed-disk-on-azure-measurement-template)
{% endhint %}

### Overview

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.

<table><thead><tr><th width="172">Template Name</th><th width="85">Status<select><option value="9610b3079a734d10af8fe3f613a9673d" label="GA" color="blue"></option><option value="683e537f7e6f4c3eb7cae6952943cb96" label="Preview" color="blue"></option></select></th><th width="109">Platform<select><option value="0b15c76f84134e5091e3fb56aacea774" label="Kubernetes" color="blue"></option><option value="49f1331540624cf1b7ff5bc4f7d45e7a" label="AWS" color="blue"></option><option value="ac1d667d093644a69760ce2635ff57bf" label="Azure" color="blue"></option><option value="4e0f0e0fd34742e7a5e789a7e9d29481" label="S3" color="blue"></option></select></th><th width="143">Method<select><option value="f3ffeefe098f40a2a0484c99325c6df4" label="Agent" color="blue"></option><option value="dbd3c9c7b0d9422a9d1bc03e15934cd6" label="Infrastructure" color="blue"></option><option value="123f2212fbab469e82e35b88c8df2131" label="Datastore" color="blue"></option><option value="658de6e1a0264c5c9af2f6a457d450e5" label="SQL" color="blue"></option></select></th><th>Description</th></tr></thead><tbody><tr><td><a href="/pages/RSfEdtDQG41HvFCTTnVU#kubernetes-pod-compute-time-measurement-template">Kubernetes Pod Compute Time</a></td><td><span data-option="9610b3079a734d10af8fe3f613a9673d">GA</span></td><td><span data-option="0b15c76f84134e5091e3fb56aacea774">Kubernetes</span></td><td><span data-option="f3ffeefe098f40a2a0484c99325c6df4">Agent</span></td><td>Measure pod running time in Kubernetes with minute-level precision</td></tr><tr><td><a href="/pages/FoIuWo2rwYQsnXTeaVwv#ec2-instance-compute-time-measurement-template">EC2 Compute Time</a></td><td><span data-option="9610b3079a734d10af8fe3f613a9673d">GA</span></td><td><span data-option="49f1331540624cf1b7ff5bc4f7d45e7a">AWS</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure EC2 instance running time with minute-level precision</td></tr><tr><td><a href="/pages/FoIuWo2rwYQsnXTeaVwv#ec2-egress-measurement-template">EC2 Egress</a></td><td><span data-option="9610b3079a734d10af8fe3f613a9673d">GA</span></td><td><span data-option="49f1331540624cf1b7ff5bc4f7d45e7a">AWS</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure network egress from EC2 instance with byte-level precision</td></tr><tr><td><a href="/pages/FoIuWo2rwYQsnXTeaVwv#ebs-volume-and-snapshot-measurement-template">EBS Volume</a></td><td><span data-option="9610b3079a734d10af8fe3f613a9673d">GA</span></td><td><span data-option="49f1331540624cf1b7ff5bc4f7d45e7a">AWS</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure EBS volume size with gigabyte-level precision</td></tr><tr><td><a href="/pages/FoIuWo2rwYQsnXTeaVwv#ebs-volume-and-snapshot-measurement-template">EBS Snapshot</a></td><td><span data-option="9610b3079a734d10af8fe3f613a9673d">GA</span></td><td><span data-option="49f1331540624cf1b7ff5bc4f7d45e7a">AWS</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure EBS snapshot size with gigabyte-level precision</td></tr><tr><td><mark style="color:red;">(NEW)</mark><br><a href="/pages/FoIuWo2rwYQsnXTeaVwv#virtual-machine-compute-time-on-azure-measurement-template">Virtual Machine Compute Time</a></td><td><span data-option="683e537f7e6f4c3eb7cae6952943cb96">Preview</span></td><td><span data-option="ac1d667d093644a69760ce2635ff57bf">Azure</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure Azure VM running time with minute-level precision</td></tr><tr><td><mark style="color:red;">(NEW)</mark><br><a href="/pages/FoIuWo2rwYQsnXTeaVwv#managed-disk-on-azure-measurement-template">Managed Disk</a></td><td><span data-option="683e537f7e6f4c3eb7cae6952943cb96">Preview</span></td><td><span data-option="ac1d667d093644a69760ce2635ff57bf">Azure</span></td><td><span data-option="dbd3c9c7b0d9422a9d1bc03e15934cd6">Infrastructure</span></td><td>Measure the size of Azure managed disk, with gigabyte-level precision</td></tr><tr><td><mark style="color:red;">(NEW)</mark><br><a href="/pages/eWJs23JDwwKJBV8hiJPB#usage-data-in-s3-measurement-template">Usage Data in S3</a></td><td><span data-option="683e537f7e6f4c3eb7cae6952943cb96">Preview</span></td><td><span data-option="4e0f0e0fd34742e7a5e789a7e9d29481">S3</span></td><td><span data-option="123f2212fbab469e82e35b88c8df2131">Datastore</span></td><td>Collect usage based on data in S3 objects</td></tr></tbody></table>

### Measurement Properties and Predefined Values

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.

* Unit
* Aggregation Method
* Aggregation Interval
* Usage Increment
* Rounding

See [Product Plans](/saas-pricing/pricing-basics/product-plans.md) for information on these properties.