Monitoring Azure Blob Storage
When you have critical applications and business processes that rely on Azure resources, you want to monitor those resources for their availability, performance, and operation. This article describes the monitoring data that's generated by Azure Blob Storage and how you can use the features of Azure Monitor to analyze alerts on this data.
Monitoring overview page in Azure portal
The Overview page in the Azure portal for each Blob storage resource includes a brief view of the resource usage, such as requests and hourly billing. This information is useful, but only a small amount of the monitoring data is available. Some of this data is collected automatically and is available for analysis as soon as you create the resource. You can enable additional types of data collection with some configuration.
What is Azure Monitor?
Azure Blob Storage creates monitoring data by using Azure Monitor, which is a full stack monitoring service in Azure. Azure Monitor provides a complete set of features to monitor your Azure resources and resources in other clouds and on-premises.
Start with the article Monitoring Azure resources with Azure Monitor which describes the following:
- What is Azure Monitor?
- Costs associated with monitoring
- Monitoring data collected in Azure
- Configuring data collection
- Standard tools in Azure for analyzing and alerting on monitoring data
The following sections build on this article by describing the specific data gathered from Azure Storage. Examples show how to configure data collection and analyze this data with Azure tools.
Azure Blob Storage collects the same kinds of monitoring data as other Azure resources, which are described in Monitoring data from Azure resources.
See Azure Blob Storage monitoring data reference for detailed information on the metrics and logs metrics created by Azure Blob Storage.
Metrics and logs in Azure Monitor support only Azure Resource Manager storage accounts. Azure Monitor doesn't support classic storage accounts. If you want to use metrics or logs on a classic storage account, you need to migrate to an Azure Resource Manager storage account. For more information, see Migrate to Azure Resource Manager.
You can continue using classic metrics and logs if you want to. In fact, classic metrics and logs are available in parallel with metrics and logs in Azure Monitor. The support remains in place until Azure Storage ends the service on legacy metrics and logs.
Collection and routing
Platform metrics and the Activity log are collected and stored automatically, but can be routed to other locations by using a diagnostic setting.
Resource Logs are not collected and stored until you create a diagnostic setting and route them to one or more locations.
To collect resource logs, you must create a diagnostic setting. When you create the setting, choose blob as the type of storage that you want to enable logs for. Then, specify one of the following categories of operations for which you want to collect logs.
|StorageRead||Read operations on objects.|
|StorageWrite||Write operations on objects.|
|StorageDelete||Delete operations on objects.|
Data Lake Storage Gen2 doesn't appear as a storage type. That's because Data Lake Storage Gen2 is a set of capabilities available to Blob storage.
See Create diagnostic setting to collect platform logs and metrics in Azure for the detailed process for creating a diagnostic setting using the Azure portal, CLI, and PowerShell. You can also find links to information about how to create a diagnostic setting by using an Azure Resource Manager template or an Azure Policy definition.
For general destination limitations, see Destination limitations. The following limitations apply only to monitoring Azure Storage accounts.
You can't send logs to the same storage account that you are monitoring with this setting.
This would lead to recursive logs in which a log entry describes the writing of another log entry. You must create an account or use another existing account to store log information.
You can't set a retention policy.
If you archive logs to a storage account, you can manage the retention policy of a log container by defining a lifecycle management policy. To learn how, see Optimize costs by automating Azure Blob Storage access tiers.
If you send logs to Log Analytics, you can manage the data retention period of Log Analytics at the workspace level or even specify different retention settings by data type. To learn how, see Change the data retention period.
For a list of all Azure Monitor support metrics, which includes Azure Blob Storage, see Azure Monitor supported metrics.
You can analyze metrics for Azure Storage with metrics from other Azure services by using Metrics Explorer. Open Metrics Explorer by choosing Metrics from the Azure Monitor menu. For details on using this tool, see Getting started with Azure Metrics Explorer.
This example shows how to view Transactions at the account level.
For metrics that support dimensions, you can filter the metric with the desired dimension value. This example shows how to view Transactions at the account level on a specific operation by selecting values for the API Name dimension.
For a complete list of the dimensions that Azure Storage supports, see Metrics dimensions.
Metrics for Azure Blob Storage are in these namespaces:
You can access resource logs either as a blob in a storage account, as event data, or through Log Analytic queries. For information about how to find those logs, see Azure resource logs.
All resource logs in Azure Monitor have the same fields followed by service-specific fields. The common schema is outlined in Azure Monitor resource log schema. The schema for Azure Blob Storage resource logs is found in Azure Blob Storage monitoring data reference.
To get the list of SMB and REST operations that are logged, see Storage logged operations and status messages.
Log entries are created only if there are requests made against the service endpoint. For example, if a storage account has activity in its file endpoint but not in its table or queue endpoints, only logs that pertain to the Azure Blob Storage service are created. Azure Storage logs contain detailed information about successful and failed requests to a storage service. This information can be used to monitor individual requests and to diagnose issues with a storage service. Requests are logged on a best-effort basis.
The Activity log is a type of platform log located in Azure that provides insight into subscription-level events. You can view it independently or route it to Azure Monitor Logs, where you can do much more complex queries using Log Analytics.
Log authenticated requests
The following types of authenticated requests are logged:
- Successful requests
- Failed requests, including time-out, throttling, network, authorization, and other errors
- Requests that use a shared access signature (SAS) or OAuth, including failed and successful requests
- Requests to analytics data (classic log data in the $logs container and class metric data in the $metric tables)
Requests made by the Blob storage service itself, such as log creation or deletion, aren't logged. For a full list of the logged data, see Storage logged operations and status messages and Storage log format.
Azure Monitor currently filters out logs that describe activity in the
insights- container. You can track activities in that container by using storage analytics (classic logs).
Log anonymous requests
The following types of anonymous requests are logged:
- Successful requests
- Server errors
- Time out errors for both client and server
- Failed GET requests with the error code 304 (Not Modified)
Sample Kusto queries
If you send logs to Log Analytics, you can access those logs by using Azure Monitor log queries. For more information, see Log Analytics tutorial.
Here are some queries that you can enter in the Log search bar to help you monitor your Blob storage. These queries work with the new language.
When you select Logs from the storage account resource group menu, Log Analytics is opened with the query scope set to the current resource group. This means that log queries will only include data from that resource group. If you want to run a query that includes data from other resources or data from other Azure services, select Logs from the Azure Monitor menu. See Log query scope and time range in Azure Monitor Log Analytics for details.
Use these queries to help you monitor your Azure Storage accounts:
To list the 10 most common errors over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) and StatusText !contains "Success" | summarize count() by StatusText | top 10 by count_ desc
To list the top 10 operations that caused the most errors over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) and StatusText !contains "Success" | summarize count() by OperationName | top 10 by count_ desc
To list the top 10 operations with the longest end-to-end latency over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) | top 10 by DurationMs desc | project TimeGenerated, OperationName, DurationMs, ServerLatencyMs, ClientLatencyMs = DurationMs - ServerLatencyMs
To list all operations that caused server-side throttling errors over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) and StatusText contains "ServerBusy" | project TimeGenerated, OperationName, StatusCode, StatusText
To list all requests with anonymous access over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) and AuthenticationType == "Anonymous" | project TimeGenerated, OperationName, AuthenticationType, Uri
To create a pie chart of operations used over the last three days.
StorageBlobLogs | where TimeGenerated > ago(3d) | summarize count() by OperationName | sort by count_ desc | render piechart
Azure Monitor alerts proactively notify you when important conditions are found in your monitoring data. They allow you to identify and address issues in your system before your customers notice them. You can set alerts on metrics, logs, and the activity log.
The following table lists some example scenarios to monitor and the proper metric to use for the alert:
|Scenario||Metric to use for alert|
|Blob Storage service is throttled.||Metric: Transactions
Dimension name: Response type
|Blob Storage requests are successful 99% of the time.||Metric: Availability
Dimension names: Geo type, API name, Authentication
|Blob Storage egress has exceeded 500 GiB in one day.||Metric: Egress
Dimension names: Geo type, API name, Authentication
Support for this feature might be impacted by enabling Data Lake Storage Gen2, Network File System (NFS) 3.0 protocol, or the SSH File Transfer Protocol (SFTP).
If you've enabled any of these capabilities, see Blob Storage feature support in Azure Storage accounts to assess support for this feature.
Does Azure Storage support metrics for Managed Disks or Unmanaged Disks?
No. Azure Compute supports the metrics on disks. For more information, see Per disk metrics for Managed and Unmanaged Disks.
Get started with any of these guides.
|Gather metrics from your Azure Blob Storage containers||Create charts that show metrics (Contains step-by-step guidance).|
|Monitor, diagnose, and troubleshoot your Azure Storage||Troubleshoot storage account issues (contains step-by-step guidance).|
|Monitor storage with Azure Monitor Storage insights||A unified view of storage performance, capacity, and availability|
|Best practices for monitoring Azure Blob Storage||Guidance for common monitoring and troubleshooting scenarios.|
|Getting started with Azure Metrics Explorer||A tour of Metrics Explorer.|
|Overview of Log Analytics in Azure Monitor||A tour of Log Analytics.|
|Azure Monitor Metrics overview||The basics of metrics and metric dimensions|
|Azure Monitor Logs overview||The basics of logs and how to collect and analyze them|
|Transition to metrics in Azure Monitor||Move from Storage Analytics metrics to metrics in Azure Monitor.|
|Azure Blob Storage monitoring data reference||A reference of the logs and metrics created by Azure Blob Storage|
|Troubleshoot performance issues||Common performance issues and guidance about how to troubleshoot them.|
|Troubleshoot availability issues||Common availability issues and guidance about how to troubleshoot them.|
|Troubleshoot client application errors||Common issues with connecting clients and how to troubleshoot them.|
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