Monitor Azure Container Instances

  • Article

This article describes:

  • The types of monitoring data you can collect for this service.
  • How to analyze that data.

Note

If you're already familiar with this service and/or Azure Monitor and just want to know how to analyze monitoring data, see the Analyze section near the end of this article.

When you have critical applications and business processes that rely on Azure resources, you need to monitor and get alerts for your system. The Azure Monitor service collects and aggregates metrics and logs from every component of your system. Azure Monitor provides you with a view of availability, performance, and resilience, and notifies you of issues. You can use the Azure portal, PowerShell, Azure CLI, REST API, or client libraries to set up and view monitoring data.

Resource types

Azure uses the concept of resource types and IDs to identify everything in a subscription. Azure Monitor similarly organizes core monitoring data into metrics and logs based on resource types, also called namespaces. Different metrics and logs are available for different resource types. Your service might be associated with more than one resource type.

Resource types are also part of the resource IDs for every resource running in Azure. For example, one resource type for a virtual machine is Microsoft.Compute/virtualMachines. For a list of services and their associated resource types, see Resource providers.

For more information about the resource types for Azure Container Instances, see Container Instances monitoring data reference.

Data storage

For Azure Monitor:

  • Metrics data is stored in the Azure Monitor metrics database.
  • Log data is stored in the Azure Monitor logs store. Log Analytics is a tool in the Azure portal that can query this store.
  • The Azure activity log is a separate store with its own interface in the Azure portal.
  • You can optionally route metric and activity log data to the Azure Monitor logs database store so you can query the data and correlate it with other log data using Log Analytics.

For detailed information on how Azure Monitor stores data, see Azure Monitor data platform.

Azure Monitor platform metrics

Azure Monitor provides platform metrics for most services. These metrics are:

  • Individually defined for each namespace.
  • Stored in the Azure Monitor time-series metrics database.
  • Lightweight and capable of supporting near real-time alerting.
  • Used to track the performance of a resource over time.

Collection: Azure Monitor collects platform metrics automatically. No configuration is required.

Routing: You can also usually route platform metrics to Azure Monitor logs / Log Analytics so you can query them with other log data. For more information, see the Metrics diagnostic setting. For how to configure diagnostic settings for a service, see Create diagnostic settings in Azure Monitor.

For a list of all metrics it's possible to gather for all resources in Azure Monitor, see Supported metrics in Azure Monitor.

For a list of available metrics for Container Instances, see Container Instances monitoring data reference. These metrics are available for a container group and individual containers. By default, the metrics are aggregated as averages.

All metrics for Container Instances are in the namespace Container group standard metrics. In a container group with multiple containers, you can filter on the containerName dimension to acquire metrics from a specific container within the group. Containers generate similar data as other Azure resources, but they require a containerized agent to collect required data.

Get metrics

You can gather Azure Monitor metrics for container instances using either the Azure portal or Azure CLI.

Important

Azure Monitor metrics in Azure Container Instances are currently in preview. At this time, Azure Monitor metrics are only available for Linux containers. Previews are made available to you on the condition that you agree to the supplemental terms of use. Some aspects of this feature may change prior to general availability (GA).

Use the Azure portal

When a container group is created, Azure Monitor data is available in the Azure portal. To see metrics for a container group, go to the Overview page for the container group. Here you can see precreated charts for each of the available metrics.

Screenshot of precreated charts for available metrics.

In a container group that contains multiple containers, use a dimension to display metrics by container. To create a chart with individual container metrics, perform the following steps:

  1. In the Overview page, select one of the metric charts, such as CPU.
  2. Select the Apply splitting button, and select Container Name.

Screenshot that shows the metrics for a container instance with Apply splitting selected and Container Name selected.

Use Azure CLI

Metrics for container instances can also be gathered using the Azure CLI. First, get the ID of the container group using the following command. Replace <resource-group> with your resource group name and <container-group> with the name of your container group.

CONTAINER_GROUP=$(az container show --resource-group <resource-group> --name <container-group> --query id --output tsv)

Use the following command to get CPU usage metrics.

az monitor metrics list --resource $CONTAINER_GROUP --metric CPUUsage --output table

Timestamp            Name       Average
------------------- ---------  ---------
2020-12-17 23:34:00  CPU Usage
. . .
2020-12-18 00:25:00  CPU Usage
2020-12-18 00:26:00  CPU Usage  0.4
2020-12-18 00:27:00  CPU Usage  0.0

Change the value of the --metric parameter in the command to get other supported metrics. For example, use the following command to get memory usage metrics.

az monitor metrics list --resource $CONTAINER_GROUP --metric MemoryUsage --output table

Timestamp            Name          Average
------------------- ------------  ----------
2019-04-23 22:59:00  Memory Usage
2019-04-23 23:00:00  Memory Usage
2019-04-23 23:01:00  Memory Usage  0.0
2019-04-23 23:02:00  Memory Usage  8859648.0
2019-04-23 23:03:00  Memory Usage  9181184.0
2019-04-23 23:04:00  Memory Usage  9580544.0
2019-04-23 23:05:00  Memory Usage  10280960.0
2019-04-23 23:06:00  Memory Usage  7815168.0
2019-04-23 23:07:00  Memory Usage  7739392.0
2019-04-23 23:08:00  Memory Usage  8212480.0
2019-04-23 23:09:00  Memory Usage  8159232.0
2019-04-23 23:10:00  Memory Usage  8093696.0

For a multi-container group, the containerName dimension can be added to return metrics per container.

az monitor metrics list --resource $CONTAINER_GROUP --metric MemoryUsage --dimension containerName --output table

Timestamp            Name          Containername             Average
------------------- ------------  -------------------- -----------
2019-04-23 22:59:00  Memory Usage  aci-tutorial-app
2019-04-23 23:00:00  Memory Usage  aci-tutorial-app
2019-04-23 23:01:00  Memory Usage  aci-tutorial-app      0.0
2019-04-23 23:02:00  Memory Usage  aci-tutorial-app      16834560.0
2019-04-23 23:03:00  Memory Usage  aci-tutorial-app      17534976.0
2019-04-23 23:04:00  Memory Usage  aci-tutorial-app      18329600.0
2019-04-23 23:05:00  Memory Usage  aci-tutorial-app      19742720.0
2019-04-23 23:06:00  Memory Usage  aci-tutorial-app      14786560.0
2019-04-23 23:07:00  Memory Usage  aci-tutorial-app      14651392.0
2019-04-23 23:08:00  Memory Usage  aci-tutorial-app      15470592.0
2019-04-23 23:09:00  Memory Usage  aci-tutorial-app      15450112.0
2019-04-23 23:10:00  Memory Usage  aci-tutorial-app      15339520.0
2019-04-23 22:59:00  Memory Usage  aci-tutorial-sidecar
2019-04-23 23:00:00  Memory Usage  aci-tutorial-sidecar
2019-04-23 23:01:00  Memory Usage  aci-tutorial-sidecar  0.0
2019-04-23 23:02:00  Memory Usage  aci-tutorial-sidecar  884736.0
2019-04-23 23:03:00  Memory Usage  aci-tutorial-sidecar  827392.0
2019-04-23 23:04:00  Memory Usage  aci-tutorial-sidecar  831488.0
2019-04-23 23:05:00  Memory Usage  aci-tutorial-sidecar  819200.0
2019-04-23 23:06:00  Memory Usage  aci-tutorial-sidecar  843776.0
2019-04-23 23:07:00  Memory Usage  aci-tutorial-sidecar  827392.0
2019-04-23 23:08:00  Memory Usage  aci-tutorial-sidecar  954368.0
2019-04-23 23:09:00  Memory Usage  aci-tutorial-sidecar  868352.0
2019-04-23 23:10:00  Memory Usage  aci-tutorial-sidecar  847872.0

Azure Monitor resource logs

Resource logs provide insight into operations that were done by an Azure resource. Logs are generated automatically, but you must route them to Azure Monitor logs to save or query them. Logs are organized by category. A given namespace might have multiple resource log categories.

Collection: Resource logs aren't collected and stored until you create a diagnostic setting and route the logs to one or more locations. When you create a diagnostic setting, you specify which categories of logs to collect. There are multiple ways to create and maintain diagnostic settings, including the Azure portal, programmatically, and though Azure Policy.

Routing: The suggested default is to route resource logs to Azure Monitor Logs so you can query them with other log data. Other locations such as Azure Storage, Azure Event Hubs, and certain Azure monitoring partners are also available. For more information, see Azure resource logs and Resource log destinations.

For detailed information about collecting, storing, and routing resource logs, see Diagnostic settings in Azure Monitor.

For a list of all available resource log categories in Azure Monitor, see Supported resource logs in Azure Monitor.

All resource logs in Azure Monitor have the same header fields, followed by service-specific fields. The common schema is outlined in Azure Monitor resource log schema.

Azure activity log

The activity log contains subscription-level events that track operations for each Azure resource as seen from outside that resource; for example, creating a new resource or starting a virtual machine.

Collection: Activity log events are automatically generated and collected in a separate store for viewing in the Azure portal.

Routing: You can send activity log data to Azure Monitor Logs so you can analyze it alongside other log data. Other locations such as Azure Storage, Azure Event Hubs, and certain Azure monitoring partners are also available. For more information on how to route the activity log, see Overview of the Azure activity log.

Analyze monitoring data

There are many tools for analyzing monitoring data.

Azure Monitor tools

Azure Monitor supports the following basic tools:

Tools that allow more complex visualization include:

  • Dashboards that let you combine different kinds of data into a single pane in the Azure portal.
  • Workbooks, customizable reports that you can create in the Azure portal. Workbooks can include text, metrics, and log queries.
  • Power BI, a business analytics service that provides interactive visualizations across various data sources. You can configure Power BI to automatically import log data from Azure Monitor to take advantage of these visualizations.

Azure Monitor export tools

You can get data out of Azure Monitor into other tools by using the following methods:

To get started with the REST API for Azure Monitor, see Azure monitoring REST API walkthrough.

Analyze Container Instances logs

You can use Log Analytics to analyze and query container instance logs, and you can also enable diagnostic settings as a preview feature in the Azure portal. Log Analytics and diagnostic settings have slightly different table schemas to use for queries. Once you enable diagnostic settings, you can use either or both schemas at the same time.

For detailed information and instructions for querying logs, see Container group and instance logging with Azure Monitor logs. For the Azure Monitor logs table schemas for Container Instances, see Azure Monitor Logs tables.

Kusto queries

You can analyze monitoring data in the Azure Monitor Logs / Log Analytics store by using the Kusto query language (KQL).

Important

When you select Logs from the service's menu in the portal, Log Analytics opens with the query scope set to the current service. This scope means that log queries will only include data from that type of resource. If you want to run a query that includes 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.

For a list of common queries for any service, see the Log Analytics queries interface.

The following query examples use the legacy Log Analytics log tables. The basic structure of a query is the source table, ContainerInstanceLog_CL or ContainerEvent_CL, followed by a series of operators separated by the pipe character (|). You can chain several operators to refine the results and perform advanced functions.

In the newer table schema for diagnostic settings, the table names appear without _CL, and some columns are different. If you have diagnostic settings enabled, you can use either or both tables.

To see example query results, paste the following query into the query text box, and select the Run button to execute the query. This query displays all log entries whose "Message" field contains the word "warn":

ContainerInstanceLog_CL
| where Message contains "warn"

More complex queries are also supported. For example, this query displays only those log entries for the "mycontainergroup001" container group generated within the last hour:

ContainerInstanceLog_CL
| where (ContainerGroup_s == "mycontainergroup001")
| where (TimeGenerated > ago(1h))

Alerts

Azure Monitor alerts proactively notify you when specific conditions are found in your monitoring data. Alerts allow you to identify and address issues in your system before your customers notice them. For more information, see Azure Monitor alerts.

There are many sources of common alerts for Azure resources. For examples of common alerts for Azure resources, see Sample log alert queries. The Azure Monitor Baseline Alerts (AMBA) site provides key alert metrics, dashboards, and guidelines for Azure Landing Zone (ALZ) scenarios.

The common alert schema standardizes the consumption of Azure Monitor alert notifications. For more information, see Common alert schema.

Types of alerts

You can alert on any metric or log data source in the Azure Monitor data platform. There are many different types of alerts depending on the services you're monitoring and the monitoring data you're collecting. Different types of alerts have various benefits and drawbacks. For more information, see Choose the right monitoring alert type.

The following list describes the types of Azure Monitor alerts you can create:

  • Metric alerts evaluate resource metrics at regular intervals. Metrics can be platform metrics, custom metrics, logs from Azure Monitor converted to metrics, or Application Insights metrics. Metric alerts can also apply multiple conditions and dynamic thresholds.
  • Log alerts allow users to use a Log Analytics query to evaluate resource logs at a predefined frequency.
  • Activity log alerts trigger when a new activity log event occurs that matches defined conditions. Resource Health alerts and Service Health alerts are activity log alerts that report on your service and resource health.

You can also create the following types of alerts for some Azure services:

  • Smart detection alerts on an Application Insights resource automatically warn you of potential performance problems and failure anomalies in your web application. You can migrate smart detection on your Application Insights resource to create alert rules for the different smart detection modules.
  • Prometheus alerts alert on Prometheus metrics stored in Azure Monitor managed services for Prometheus . The alert rules are based on the PromQL open-source query language. Your service may not support this type of alert. Currently, Prometheus is used on a limited set of services with a guest operating system, such as Azure Virtual Machine and Azure Container Instances.
  • Recommended alert rules are available out-of-box for some Azure resources, including virtual machines, Azure Kubernetes Service (AKS) resources, and Log Analytics workspaces.

Monitor multiple resources

You can monitor at scale by applying the same metric alert rule to multiple resources of the same type that exist in the same Azure region. Individual notifications are sent for each monitored resource. For supported Azure services and clouds, see Monitor multiple resources with one alert rule.

Note

If you're creating or running an application that runs on your service, Azure Monitor application insights might offer more types of alerts.

Container Instances alert rules

The following table lists common and recommended alert rules for Container Instances.

Alert type Condition Description
Metrics vCPU usage, memory usage, or network input and output utilization exceeding a certain threshold Depending on the function of the container, setting an alert for when the metric exceeds an expected threshold may be useful.
Activity logs Container Instances operations like create, update, and delete See the Container Instances monitoring data reference for a list of activities you can track.
Log alerts stdout and stderr outputs in the logs Use custom log search to set alerts for specific outputs that appear in logs.

Advisor recommendations

If critical conditions or imminent changes occur during resource operations, an alert displays on the Overview page in the portal.

You can find more information and recommended fixes for the alert in Advisor recommendations under Monitoring. During normal operations, no advisor recommendations display.

For more information on Azure Advisor, see Azure Advisor overview.

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