You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/azure-monitor/logs/cost-logs.md
+4Lines changed: 4 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -22,6 +22,8 @@ The default pricing for Log Analytics is a pay-as-you-go model that's based on i
22
22
- The number and type of monitored resources.
23
23
- The types of data collected from each monitored resource.
24
24
25
+
A list of Azure Monitor billing meter names is available [here](../cost-meters.md).
26
+
25
27
## Data size calculation
26
28
27
29
Data volume is measured as the size of the data sent to be stored and is measured in units of GB (10^9 bytes). The data size of a single record is calculated from a string representation of the columns that are stored in the Log Analytics workspace for that record. It doesn't matter whether the data is sent from an agent or added during the ingestion process. This calculation includes any custom columns added by the [logs ingestion API](logs-ingestion-api-overview.md), [transformations](../essentials/data-collection-transformations.md) or [custom fields](custom-fields.md) that are added as data is collected and then stored in the workspace.
@@ -164,6 +166,8 @@ Subscriptions that contained a Log Analytics workspace or Application Insights r
164
166
165
167
Access to the legacy Free Trial pricing tier was limited on July 1, 2022. Pricing information for the Standalone and Per Node pricing tiers is available [here](https://aka.ms/OMSpricing).
166
168
169
+
A list of Azure Monitor billing meter names, including these legacy tiers, is available [here](../cost-meters.md).
170
+
167
171
> [!IMPORTANT]
168
172
> The legacy pricing tiers do not support access to some of the newest features in Log Analytics such as ingesting data as cost-effective Basic Logs.
0 commit comments