New article for CI 6621

Author: amsliu

support/azure/azure-monitor/log-analytics/configure-and-manage-log-analytics-tables/new.md

@@ -0,0 +1,57 @@
+---
+title: Understanding and Mitigating High Data Consumption in Log Analytics
+description: Provides step-by-step instructions on how to resolve high data usage in Log Analytics.
+ms.date: 07/16/2025
+ms.reviewer: v-liuamson; v-gsitser
+ms.service: azure-monitor
+ms.custom: Configure and Manage Log analytics tables
+---
+
+# Understanding and Mitigating High Data Consumption in Log Analytics
+
+## Introduction
+
+This article addresses the issue of high data consumption in Log Analytics workspaces, specifically focusing on tables like `AzureDiagnostics`. It provides insights into understanding the costs associated with data usage and offers steps to optimize and reduce these costs.
+
+## Step-by-Step Instructions to Resolve High Data Usage
+
+### 1. Identify High Data Tables
+
+- Use the `AzureDiagnostics` table to determine which Reference are sending large amounts of data.
+- Run the following query in your Log Analytics workspace:
+
+    ```plaintext
+    AzureDiagnostics | distinct _ResourceId
+    ```
+
+- This will help you identify the Reference contributing to high data usage.
+
+### 2. Review Diagnostic Settings
+
+- Navigate to the diagnostic settings of the identified Reference.
+- Remove unnecessary diagnostic settings if the data is not needed. This will stop the data from being sent to the AzureDiagnostics table.
+
+### 3. Understand Cost Implications
+
+Review the following Reference to understand the costs associated with your Log Analytics workspace:
+
+- [Understand Log Analytics Workspace Billing](https://learn.microsoft.com/azure/azure-monitor/log-analytics/billing/understand-log-analytics-workspace-bill)
+- [Best Practices for Cost Management](https://learn.microsoft.com/azure/azure-monitor/fundamentals/best-practices-cost)
+- [Cost Management for Logs](https://learn.microsoft.com/azure/azure-monitor/logs/cost-logs)
+
+### 4. Implement Cost Optimization Strategies
+
+- Follow the best practices outlined in the Reference to optimize data usage and reduce costs.
+
+## Common Issues and Solutions
+
+- **Data Retention**: Ensure that data retention settings are configured appropriately to avoid unnecessary storage costs.
+- **Data Filtering**: Implement data filtering to only collect necessary data, reducing the volume of data ingested.
+
+## Reference
+
+- [Understand Log Analytics Workspace Billing](https://learn.microsoft.com/azure/azure-monitor/log-analytics/billing/understand-log-analytics-workspace-bill)
+- [Best Practices for Cost Management](https://learn.microsoft.com/azure/azure-monitor/fundamentals/best-practices-cost)
+- [Cost Management for Logs](https://learn.microsoft.com/azure/azure-monitor/logs/cost-logs)
+
+If the issue persists after following the solution steps, please open a support case for further assistance.

support/azure/azure-monitor/log-analytics/configure-and-manage-log-analytics-tables/understanding-and-mitigating-high-data-consumption.md

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+    - name: Understanding and Mitigating High Data Consumption
+      href: log-analytics/configure-and-manage-log-analytics-tables/understanding-and-mitigating-high-data-consumption.md
   - name: Log Analytics workspaces
     items:
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