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Copy file name to clipboardExpand all lines: articles/azure-monitor/logs/log-analytics-workspace-insights-overview.md
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title: Log Analytics Workspace Insights
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description: An overview of Log Analytics Workspace Insights - ingestion, usage, health, agents, and more.
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description: An overview of Log Analytics Workspace Insights usage, performance, health, agents, queries, and change log.
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services: azure-monitor
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ms.topic: conceptual
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author: guywild
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Log Analytics Workspace Insights provides comprehensive monitoring of your workspaces through a unified view of your workspace usage, performance, health, agent, queries, and change log. This article helps you understand how to onboard and use Log Analytics Workspace Insights.
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## Overview your Log Analytics workspaces
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## Overview of your Log Analytics workspaces
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When you access Log Analytics Workspace Insights through Azure Monitor Insights, the **At scale** perspective is shown. Here you can:
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:::image type="content" source="media/log-analytics-workspace-insights-overview/at-scale.png" alt-text="Screenshot that shows a Log Analytics Workspace Insights list of workspaces." lightbox="media/log-analytics-workspace-insights-overview/at-scale-expanded.png":::
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To launch Log Analytics Workspace Insights at scale:
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To start Log Analytics Workspace Insights at scale:
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1. Sign in to the [Azure portal](https://portal.azure.com/).
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1. Select **Monitor** from the pane on the left in the Azure portal. Under the **Insights Hub** section, select **Log Analytics Workspace Insights**.
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1. Select **Monitor** from the left pane in the Azure portal. Under the **Insights Hub** section, select **Log Analytics Workspace Insights**.
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## View Insights for a Log Analytics workspace
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## View insights for a Log Analytics workspace
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You can use Insights in the context of a specific workspace to display rich data and analytics of the workspace performance, usage, health, agents, queries, and changes.
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You can use insights in the context of a specific workspace to display rich data and analytics of the workspace performance, usage, health, agents, queries, and changes.
:::image type="content" source="media/log-analytics-workspace-insights-overview/at-resource.png" alt-text="Screenshot that shows the Log Analytics Workspace Insights overview." lightbox="media/log-analytics-workspace-insights-overview/at-resource.png":::
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To access Log Analytics Workspace Insights:
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1. Open Log Analytics Workspace Insights from Azure Monitor (as explained).
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1. Open Log Analytics Workspace Insights from Azure Monitor (as previously explained).
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1. Select a workspace to drill into.
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Or you can use these steps:
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Or use these steps:
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1. In the Azure portal, select **Log Analytics Workspaces**.
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On the **Overview** tab, you can see:
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* Main statistics and settings:
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***Main statistics and settings**:
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- The monthly ingestion volume of the workspace.
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- How many machines sent heartbeats. That is, the machines that are connected to this workspace in the selected time range.
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- Machines that haven't sent heartbeats in the last hour in the selected time range.
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- The data retention period set.
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- The daily cap set and how much data was already ingested on the recent day.
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* Top five tables: Charts that analyze the five most-ingested tables over the past month.
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-Volume of data ingested to each table.
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***Top five tables**: Charts that analyze the five most-ingested tables over the past month:
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-The volume of data ingested to each table.
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- The daily ingestion to each of them to visually display spikes or dips.
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- Ingestion anomalies: A list of identified spikes and dips in ingestion to these tables.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage.png" alt-text="Screenshot that shows the workspace Usage tab." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage.png":::
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* Main grid: Here you can see tables grouped by solutions and information about each table:
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***Main grid**: Tables are grouped by solutions with information about each table:
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- How much data was ingested to it during the selected time range.
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- The percentage this table takes, from the entire ingestion volume during the selected time range: This information helps identify the tables that affect your ingestion the most. In the following screenshot, you can see AzureDiagnostics and ContainerLog alone stand for more than two-thirds (64%) of the data ingested to this workspace.
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-When was the last update of usage statistics regarding each table: We normally expect usage stats to refresh hourly. Refreshing usage statistics is a recurrent service-internal operation. A delay in refreshing that data is only noted so that you would know to interpret the data correctly. There's no action you (as a user) should take.
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- Billable: Indicates which tables are billed for and which are free.
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- The percentage this table takes from the entire ingestion volume during the selected time range: This information helps identify the tables that affect your ingestion the most. In the following screenshot, you can see `AzureDiagnostics` and `ContainerLog` alone stand for more than two-thirds (64%) of the data ingested to this workspace.
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-The last update of usage statistics regarding each table: We normally expect usage statistics to refresh hourly. Refreshing usage statistics is a recurrent service-internal operation. A delay in refreshing that data is only noted so that you know to interpret the data correctly. There's no action you should take.
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-**Billable**: Indicates which tables are billed for and which are free.
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* Table-specific details:
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At the bottom of the page, you can see detailed information on the table selected in the main grid.
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- Ingestion volume: How much data was ingested to the table from each resource and how it spreads over time. Resources ingesting more than 30% of the total volume sent to this table are marked with a warning sign.
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- Ingestion latency: How much time ingestion took, analyzed for the 50th, 90th, or 95th percentiles of requests sent to this table. The top chart in this area depicts the total ingestion time of the requests (for the selected percentile) from end to end - from the time the event occurred, and until it was ingested to the workspace.
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The chart below it shows separately the latency of the agent, which is the time it took the agent to send the log to the workspace. The chart also shows the latency of the pipeline, which is the time it took the service to process the data and push it to the workspace.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-ingestion-latency.png" alt-text="Screenshot that shows the workspace usage ingestion latency subtab." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-ingestion-latency.png":::
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***Table-specific details**: At the bottom of the page, you can see detailed information on the table selected in the main grid:
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-**Ingestion volume**: How much data was ingested to the table from each resource and how it spreads over time. Resources ingesting more than 30% of the total volume sent to this table are marked with a warning sign.
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-**Ingestion latency**: How much time ingestion took, analyzed for the 50th, 90th, or 95th percentiles of requests sent to this table. The top chart in this area depicts the total ingestion time of the requests for the selected percentile from end to end. It spans from the time the event occurred until it was ingested to the workspace.
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The chart below it shows separately the latency of the agent, which is the time it took the agent to send the log to the workspace. The chart also shows the latency of the pipeline, which is the time it took the service to process the data and push it to the workspace.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-ingestion-latency.png" alt-text="Screenshot that shows the workspace Usage tab Ingestion Latency subtab." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-ingestion-latency.png":::
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### Additional usage queries
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The **Additional Queries** subtab exposes queries that run across all workspace tables (instead of relying on the usage metadata, refreshed hourly). Because their queries are much more extensive and less efficient, they aren't run automatically. They can surface interesting information about which resources send most logs to the workspace and perhaps affect billing.
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The **Additional Queries** subtab exposes queries that run across all workspace tables (instead of relying on the usage metadata, which is refreshed hourly). Because the queries are much more extensive and less efficient, they don't run automatically. They can reveal interesting information about which resources send the most logs to the workspace and perhaps affect billing.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-additional-queries.png" alt-text="Screenshot that shows the workspace usage Additional Queries tab." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-additional-queries.png":::
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-additional-queries.png" alt-text="Screenshot that shows the workspace Usage tab Additional Queries subtab." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-additional-queries.png":::
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One such query is **What Azure resources send most logs to this workspace** (showing top 50).
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In our demo workspace, you can clearly see that three Kuberbetes clusters send far more data than all other resources combined. One cluster loads the workspace the most.
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One such query is **What Azure resources send most logs to this workspace** (showing the top 50).
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In the demo workspace, you can clearly see that three Kubernetes clusters send far more data than all other resources combined. One cluster loads the workspace the most.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-additional-query-run.png" alt-text="Screenshot that shows the workspace usage Additional Queries tab with the results of an additional query." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-additional-query-run.png":::
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-usage-additional-query-run.png" alt-text="Screenshot that shows the workspace Usage tab Additional Queries subtab with the results of an additional query." lightbox="media/log-analytics-workspace-insights-overview/workspace-usage-additional-query-run.png":::
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## Health tab
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## Agents tab
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This tab provides information on the agents that sends logs to this workspace.
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This tab provides information on the agents that send logs to this workspace.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-agents.png" alt-text="Screenshot that shows the workspace Agents tab." lightbox="media/log-analytics-workspace-insights-overview/workspace-agents.png":::
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* Operation errors and warnings: these are errors and warning related specifically to agents. They are grouped by the error/warning title to help you get a clearer view of different issues that may occur, but can be expanded to show the exact times and resources they refer to. Also note you can click 'Run query in Logs' to query the _LogOperation table through the Logs experience, see the raw data and analyze if further.
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* Workspace agents: these are the agents that sent logs to the workspace during the selected time range. You can see the agents' types and health state. Agents marked healthy aren't necessarily working well - it only indicated they sent a heartbeat during the last hour. A more detailed health state is detailed in the below grid.
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* Agents activity: This grid shows information on either all agents, healthy or unhealthy agents. Here too "Healthy" only indicates the agent sent a heartbeat during the last hour. To understand its state better, review the trend shown in the grid. It shows how many heartbeats this agent sent over time. The true health state can only be inferred if you know how the monitored resource operates. For example, if a computer is intentionally shut down at particular times, you can expect the agent's heartbeats to appear intermittently, in a matching pattern.
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***Operation errors and warnings**: These errors and warnings are related specifically to agents. They're grouped by the error/warning title to help you get a clearer view of different issues that might occur. They can be expanded to show the exact times and resources to which they refer. You can select **Run query in Logs** to query the `_LogOperation` table through the Logs experience to see the raw data and analyze it further.
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***Workspace agents**: These agents are the ones that sent logs to the workspace during the selected time range. You can see the types and health state of the agents. Agents marked **Healthy** aren't necessarily working well. This designation only indicates that they sent a heartbeat during the last hour. A more detailed health state is described in the grid.
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***Agents activity**: This grid shows information on either all agents or healthy or unhealthy agents. Here too **Healthy** only indicates that the agent sent a heartbeat during the last hour. To understand its state better, review the trend shown in the grid. It shows how many heartbeats this agent sent over time. The true health state can only be inferred if you know how the monitored resource operates. For example, if a computer is intentionally shut down at particular times, you can expect the agent's heartbeats to appear intermittently, in a matching pattern.
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## Query Audit tab
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Query auditing creates logs about the execution of queries on the workspace. If enabled, this data is greatly beneficial to understanding and improving queries performance, efficiency, and load. To enable query auditing on your workspace or learn more about it, see [Audit queries in Azure Monitor Logs](../logs/query-audit.md).
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Query auditing creates logs about the execution of queries on the workspace. If enabled, this data is beneficial to understanding and improving the performance, efficiency, and load for queries. To enable query auditing on your workspace or learn more about it, see [Audit queries in Azure Monitor Logs](../logs/query-audit.md).
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#### Performance
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This tab shows:
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* Query duration: 95th percentile and 50th percentile (median) duration in ms, over time.
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* Number of rows returned: 95th percentile and 50th percentile (median) of rows count, over time.
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* The volume of data processed: 95th percentile, 50th percentile, and the total of processed data in all requests, over time.
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* Response codes: the distribution of response codes to all queries in the selected time range.
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***Query duration**: The 95th percentile and 50th percentile (median) duration in ms, over time.
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***Number of rows returned**: The 95th percentile and 50th percentile (median) of rows count, over time.
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***The volume of data processed**: The 95th percentile, 50th percentile, and the total of processed data in all requests, over time.
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***Response code**s: The distribution of response codes to all queries in the selected time range.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-query-audit-performance.png" alt-text="Screenshot that shows the Query Audit tab performance subtab.]" lightbox="media/log-analytics-workspace-insights-overview/workspace-query-audit-performance.png":::
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-query-audit-performance.png" alt-text="Screenshot that shows the Query Audit tab Performance subtab.]" lightbox="media/log-analytics-workspace-insights-overview/workspace-query-audit-performance.png":::
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### Slow and inefficient queries
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This**Slow & Inefficient Queries** subtab shows two grids to help you identify slow and inefficient queries you might want to rethink. These queries shouldn't be used in dashboards or alerts because they'll create unneeded chronic load on your workspace.
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* Most resource-intensive queries: The 10 most CPU-demanding queries, along with the volume of data processed (KB), the time range, and the text of each query.
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* Slowest queries: The 10 slowest queries, along with the time range and text of each query.
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The**Slow & Inefficient Queries** subtab shows two grids to help you identify slow and inefficient queries you might want to rethink. These queries shouldn't be used in dashboards or alerts because they'll create unneeded chronic load on your workspace.
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***Most resource-intensive queries**: The 10 most CPU-demanding queries, along with the volume of data processed (KB), the time range, and the text of each query.
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***Slowest queries**: The 10 slowest queries, along with the time range and text of each query.
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-query-audit-slow-queries.png" alt-text="Screenshot that shows the Query Audit tab and the Slow & Inefficient Queries subtab." lightbox="media/log-analytics-workspace-insights-overview/workspace-query-audit-slow-queries.png":::
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:::image type="content" source="media/log-analytics-workspace-insights-overview/workspace-query-audit-slow-queries.png" alt-text="Screenshot that shows the Query Audit tab Slow & Inefficient Queries subtab." lightbox="media/log-analytics-workspace-insights-overview/workspace-query-audit-slow-queries.png":::
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### Query users
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The **Users** subtab shows user activity against this workspace:
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* Queries by user: How many queries each user ran in the selected time range.
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* Throttled users: Users that ran queries that were throttled (due to over-querying the workspace).
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***Queries by user**: How many queries each user ran in the selected time range.
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***Throttled users**: Users that ran queries that were throttled because of over-querying the workspace.
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