Azure Resource Metrics

Collect metrics from Azure resources with Elastic Agent.

Version
1.6.7 (View all)
Compatible Kibana version(s)
8.12.0 or higher
Supported Serverless project types

Security
Observability
Subscription level
Basic
Level of support
Elastic

The Azure Monitor feature collects and aggregates logs and metrics from a variety of sources into a common data platform where it can be used for analysis, visualization, and alerting.

The Azure Resource Metrics will periodically retrieve the Azure Monitor metrics using the Azure REST APIs as MetricList. Additional Azure API calls can be used to retrieve information regarding the resources targeted by the user.

Data streams

The Azure Resource Metrics collects one type of data: metrics.

Metrics are numerical values that describe some aspects of a system at a particular point in time. They are collected at regular intervals and are identified with a timestamp, a name, a value, and one or more defining labels.

The following data streams are available:

monitor - Allows users to retrieve metrics from specified resources. Added filters can apply here as the interval of retrieving these metrics, metric names, aggregation list, namespaces and metric dimensions. The monitor metrics will have a minimum timegrain of 5 minutes, so the period for monitor dataset should be 300s or multiples of 300s.

compute_vm - Collects metrics from the virtual machines, these metrics will have a timegrain every 5 minutes, so the period for compute_vm should be 300s or multiples of 300s.

compute_vm_scaleset - Collects metrics from the virtual machine scalesets, these metrics will have a timegrain every 5 minutes, so the period for compute_vm_scaleset should be 300s or multiples of 300s.

storage_account - Collects metrics from the storage accounts, these metrics will have a timegrain every 5 minutes, so the period for storage_account should be 300s or multiples of 300s.

container_instance - Collects metrics from specified container groups, these metrics will have a timegrain every 5 minutes, so the period for container_instance should be 300s or multiples of 300s.

container_registry - Collects metrics from the container registries, these metrics will have a timegrain every 5 minutes, so the period for container_registry should be 300s or multiples of 300s.

container_service - Collects metrics from the container services, these metrics will have a timegrain every 5 minutes, so the period for container_service should be 300s or multiples of 300s.

database_account - Collects relevant metrics from specified database accounts, these metrics will have a timegrain every 5 minutes, so the period for database_account should be 300s or multiples of 300s.

For each individual data stream, you can check the exported fields in the Metrics reference section.

Requirements

The Elastic Agent fetches metric data from the Azure Monitor API and sends it to dedicated data streams named azure-monitor.<metricset>-default in Elasticsearch.

                       ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐

                       │  ┌─────────────────┐  │
┌─────────────────┐       │  azure-monitor  │       ┌─────────────────┐
│    Azure API    │◀───┼──│  <<metricset>>  │──┼───▶│  Elasticsearch  │
└─────────────────┘       └─────────────────┘       └─────────────────┘
                       │                       │
                        ─ Elastic Agent ─ ─ ─ ─

Elastic Agent needs an App Registration to access Azure on your behalf to collect data using the Azure APIs programmatically.

To use this integration you will need:

  • Azure App Registration: You need to set up an Azure App Registration to allow the Agent to access the Azure APIs. See more details in the Setup section.
  • Elasticsearch and Kibana: You need Elasticsearch to store and search your data and Kibana to visualize and manage it. You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, the Native Azure Integration, or self-manage the Elastic Stack on your hardware.

Authentication and costs

Authentication on the Azure side All the tasks executed against the Azure Monitor REST API use the Azure Resource Manager authentication model. Therefore, all requests must be authenticated with Microsoft Entra. To authenticate the client application, create a Microsoft Entra service principal and retrieve the authentication (JWT) token. For more details, check the following procedures:

NOTE: When you create an Azure service principal with Azure PowerShell, a linked App Registration is automatically created and is visible on the Azure portal.

Make sure that the roles assigned to the application contain at least reading permissions to the monitor data. Check Azure built-in roles for more details.

Authentication on the Elastic side Elastic handles authentication by creating or renewing the authentication token. It is recommended to use dedicated credentials for Metricbeat only.

Costs Metric queries are charged based on the number of standard API calls. Check Azure Monitor pricing for more detailsgit.

Generic and specialized integrations

A generic integration is fully customizable and can support any Azure service. There are no out-of-the-box dashboards for visualizing data, giving users complete control over the process. You must install the integration and customize the configuration before sending metrics to the data stream. You have the maximum flexibility to customize the configuration, custom pipelines, and mappings fully.

To start using the generic metrics integration, enable "Collect Azure Monitor metrics" and set up your custom configuration.

A specialized integration specializes in a specific Azure service and comes with a built-in configuration that provides the most appropriate mapping for each field with one or more out-of-the-box dashboards to visualize data. You cannot edit the built-in configurations. When you install the integration, you can send the metrics to the data stream, and can immediately visualize and search the data. You still have customization options like custom pipelines and mappings, but they are optional for specific needs.

Specialized integrations include the Azure Virtual Machine, Storage Account, Container Registry, and other Container-related metrics integrations.

Setup

To start collecting data with this integration, you need to:

  • Register a new Azure app, by adding credentials, and assigning roles.
  • Specify the integration settings in Kibana, which will determine how the integration will access the Azure APIs.

Register a new Azure app

To register your app, follow these steps:

Step 1: Create the app registration

  1. Sign in to the Azure Portal.
  2. Search for and select Microsoft Entra ID.
  3. Under Manage, select App registrations > New registration.
  4. Enter a display Name for your application (for example, "elastic-agent").
  5. Specify who can use the application.
  6. Don't enter anything for Redirect URI. This is optional and the agent doesn't use it.
  7. Select Register to complete the initial app registration.

Take note of the Application (client) ID, which you will use later when specifying the Client ID in the integration settings.

Step 2: Add credentials

Credentials allow your application to access Azure APIs and authenticate itself, requiring no interaction from a user at runtime.

This integration uses Client Secrets to prove its identity.

  1. In the Azure Portal, select the application you created in the previous section.
  2. Select Certificates & secrets > Client secrets > New client secret.
  3. Add a description (for example, "Elastic Agent client secrets").
  4. Select an expiration for the secret or specify a custom lifetime.
  5. Select Add.

Take note of the content in the Value column in the Client secrets table, which you will use later when specifying a Client Secret in the integration settings. This secret value is never displayed again after you leave this page. Record the secret's value in a safe place.

Step 3: Assign role

  1. In the Azure Portal, search for and select Subscriptions.
  2. Select the subscription to assign the application.
  3. Select Access control (IAM).
  4. Select Add > Add role assignment to open the Add role assignment page.
  5. In the Role tab, search and select the role Monitoring Reader.
  6. Select the Next button to move to the Members tab.
  7. Select Assign access to > User, group, or service principal, and select Select members. This page does not display Microsoft Entra applications in the available options by default.
  8. To find your application, search by name (for example, "elastic-agent") and select it from the list.
  9. Click the Select button.
  10. Then click the Review + assign button.

Take note of the following values, which you will use later when specifying settings.

  • Subscription ID: use the content of the "Subscription ID" you selected.
  • Tenant ID: use the "Tenant ID" from the Microsoft Entra you use.

Your App Registration is now ready for the Elastic Agent.

Specify the integration settings in Kibana

Add the Azure Resource Metrics integration in Kibana and specify settings.

If you're new to integrations, you can find step-by-step instructions on how to set up an integration in the Getting started guide.

The settings' main section contains all the options needed to access the Azure APIs and collect the monitoring data. You will now use all the values from App registration including:

Client ID string
The unique identifier of the App Registration (sometimes referred to as Application ID).
Client Secret string
The client secret for authentication.
Subscription ID string
The unique identifier for the Azure subscription. You can provide just one subscription ID. The Agent uses this ID to access Azure APIs.
Tenant ID string
The unique identifier of the Microsoft Entra Tenant ID.

Advanced options

There are two additional advanced options:

Resource Manager Endpoint string
Optional. By default, the integration uses the Azure public environment. To override, users can provide a specific resource manager endpoint to use a different Azure environment.

Examples:

  • https://management.chinacloudapi.cn for Azure ChinaCloud
  • https://management.microsoftazure.de for Azure GermanCloud
  • https://management.azure.com for Azure PublicCloud
  • https://management.usgovcloudapi.net for Azure USGovernmentCloud
Microsoft Entra Endpoint string
Optional. By default, the integration uses the associated Microsoft Entra Endpoint. To override, users can provide a specific active directory endpoint to use a different Azure environment.

Examples:

  • https://login.chinacloudapi.cn for Azure ChinaCloud
  • https://login.microsoftonline.de for Azure GermanCloud
  • https://login.microsoftonline.com for Azure PublicCloud
  • https://login.microsoftonline.us for Azure USGovernmentCloud

Metrics reference

monitor This data stream allows users to retrieve metrics from specified resources. Added filters can apply here as the interval of retrieving these metrics, metric names, aggregation list, namespaces and metric dimensions. The monitor metrics will have a minimum timegrain of 5 minutes, so the period for monitor dataset should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.dimensions.*
Azure metric dimensions.
object
azure.dimensions.fingerprint
Autogenerated ID representing the fingerprint of the azure.dimensions object
keyword
azure.metrics.*.*
Metrics returned.
object
gauge
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

compute_vm This data stream will collect metrics from the virtual machines, these metrics will have a timegrain every 5 minutes, so the period for compute_vm should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.compute_vm.*.*
Returned compute_vm metrics
object
gauge
azure.dimensions.cpu
Cpu core on the linux instance
keyword
azure.dimensions.device
Name of the device of the linux instance, eg. sda2
keyword
azure.dimensions.host
Name of the linux host
keyword
azure.dimensions.interface
Name of the network interface on the linux instance
keyword
azure.dimensions.name
Name of the device of the linux instance
keyword
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

compute_vm_scaleset This data stream will collect metrics from the virtual machine scalesets, these metrics will have a timegrain every 5 minutes, so the period for compute_vm_scaleset should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeUnitMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.compute_vm_scaleset.available_memory_bytes.avg
Amount of physical memory, in bytes, immediately available for allocation to a process or for system use in the Virtual Machine
float
byte
gauge
azure.compute_vm_scaleset.cpu_credits_consumed.avg
Total number of credits consumed by the Virtual Machine. Only available on B-series burstable VMs
float
gauge
azure.compute_vm_scaleset.cpu_credits_remaining.avg
Total number of credits available to burst. Only available on B-series burstable VMs
float
gauge
azure.compute_vm_scaleset.data_disk_bandwidth_consumed_percentage.avg
Percentage of data disk bandwidth consumed per minute
float
percent
gauge
azure.compute_vm_scaleset.data_disk_queue_depth.avg
Data Disk Queue Depth(or Queue Length)
float
gauge
azure.compute_vm_scaleset.data_disk_read_bytes_per_sec.avg
Bytes/Sec read from a single disk during monitoring period
float
gauge
azure.compute_vm_scaleset.data_disk_read_operations_per_sec.avg
Read IOPS from a single disk during monitoring period
float
gauge
azure.compute_vm_scaleset.data_disk_write_bytes_per_sec.avg
Bytes/Sec written to a single disk during monitoring period
float
gauge
azure.compute_vm_scaleset.data_disk_write_operations_per_sec.avg
Write IOPS from a single disk during monitoring period
float
gauge
azure.compute_vm_scaleset.disk_read_bytes.total
Bytes read from disk during monitoring period
float
byte
gauge
azure.compute_vm_scaleset.disk_read_operations_per_sec.avg
Disk Read IOPS
float
gauge
azure.compute_vm_scaleset.disk_write_bytes.total
Bytes written to disk during monitoring period
float
byte
gauge
azure.compute_vm_scaleset.disk_write_operations_per_sec.avg
Disk Write IOPS
float
gauge
azure.compute_vm_scaleset.inbound_flows.avg
Inbound Flows are number of current flows in the inbound direction (traffic going into the VM)
float
gauge
azure.compute_vm_scaleset.inbound_flows_maximum_creation_rate.avg
The maximum creation rate of inbound flows (traffic going into the VM)
float
gauge
azure.compute_vm_scaleset.memory_available_bytes.avg
Available Bytes is the amount of physical memory, in bytes, immediately available for allocation to a process or for system use. It is equal to the sum of memory assigned to the standby (cached), free and zero page lists.
float
byte
gauge
azure.compute_vm_scaleset.memory_commit_limit.avg
Memory commit limit
float
byte
gauge
azure.compute_vm_scaleset.memory_committed_bytes.avg
Committed Bytes is the amount of committed virtual memory, in bytes. Committed memory is the physical memory which has space reserved on the disk paging file(s). There can be one or more paging files on each physical drive. This counter displays the last observed value only.
float
byte
gauge
azure.compute_vm_scaleset.memory_pct_committed_bytes_in_use.avg
Committed Bytes In Use is the ratio of Memory \ Committed Bytes to the Memory \ Commit Limit. Committed memory is the physical memory in use for which space has been reserved in the paging file should it need to be written to disk. The commit limit is determined by the size of the paging file. If the paging file is enlarged, the commit limit increases, and the ratio is reduced). This value displays the current percentage value only.
float
percent
gauge
azure.compute_vm_scaleset.network_in_total.total
The number of bytes received on all network interfaces by the Virtual Machine(s) (Incoming Traffic)
float
gauge
azure.compute_vm_scaleset.network_out_total.total
The number of bytes out on all network interfaces by the Virtual Machine(s) (Outgoing Traffic)
float
gauge
azure.compute_vm_scaleset.os_disk_queue_depth.avg
OS Disk Queue Depth(or Queue Length)
float
gauge
azure.compute_vm_scaleset.os_disk_read_bytes_per_sec.avg
Bytes/Sec read from a single disk during monitoring period for OS disk
float
gauge
azure.compute_vm_scaleset.os_disk_read_operations_per_sec.avg
Read IOPS from a single disk during monitoring period for OS disk
float
gauge
azure.compute_vm_scaleset.os_disk_write_bytes_per_sec.avg
Bytes/Sec written to a single disk during monitoring period for OS disk
float
gauge
azure.compute_vm_scaleset.os_disk_write_operations_per_sec.avg
Write IOPS from a single disk during monitoring period for OS disk
float
gauge
azure.compute_vm_scaleset.outbound_flows.avg
Outbound Flows are number of current flows in the outbound direction (traffic going out of the VM)
float
gauge
azure.compute_vm_scaleset.outbound_flows_maximum_creation_rate.avg
The maximum creation rate of outbound flows (traffic going out of the VM)
float
gauge
azure.compute_vm_scaleset.percentage_cpu.avg
The percentage of allocated compute units that are currently in use by the Virtual Machine(s)
float
percent
gauge
azure.dimensions.lun
Logical Unit Number is a number that is used to identify a specific storage device
keyword
azure.dimensions.virtual_machine
The VM name
keyword
azure.dimensions.vmname
The VM name
keyword
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

storage_account This data stream will collect metrics from the storage accounts, these metrics will have a timegrain every 5 minutes, so the period for storage_account should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.dimensions.api_name
The name of operation.
keyword
azure.dimensions.authentication
Authentication type used in transactions like OAuth.
keyword
azure.dimensions.blob_type
Specifies the type of a blob.
keyword
azure.dimensions.file_share
Specifies file share.
keyword
azure.dimensions.geo_type
Transaction from Primary or Secondary cluster. The available values include Primary and Secondary.
keyword
azure.dimensions.response_type
Transaction response type like Success, ClientOtherError, etc.
keyword
azure.dimensions.tier
Specifies access tier.
keyword
azure.dimensions.transaction_type
Type of transaction. The available values include User and System.
keyword
azure.metrics.*.*
Metrics returned.
object
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.storage_account.*.*
storage account
object
gauge
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

container_instance This data stream will collect metrics from specified container groups, these metrics will have a timegrain every 5 minutes, so the period for container_instance should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeUnitMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.container_instance.cpu_usage.avg
CPU usage on all cores in millicores.
float
gauge
azure.container_instance.memory_usage.avg
Total memory usage in byte.
float
byte
gauge
azure.container_instance.network_bytes_received_per_second.avg
The network bytes received per second.
float
byte
gauge
azure.container_instance.network_bytes_transmitted_per_second.avg
The network bytes transmitted per second.
float
byte
gauge
azure.dimensions.container_name
The container name
keyword
azure.metrics.cpu_usage.avg
alias
azure.metrics.memory_usage.avg
alias
azure.metrics.network_bytes_received_per_second.avg
alias
azure.metrics.network_bytes_transmitted_per_second.avg
alias
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

container_registry This data stream will collect metrics from the container registries, these metrics will have a timegrain every 5 minutes, so the period for container_registry should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeUnitMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.container_registry.agent_pool_cpu_time.total
AgentPool CPU Time in seconds
float
s
gauge
azure.container_registry.run_duration.total
ACR tasks run duration in milliseconds
float
ms
gauge
azure.container_registry.storage_used.avg
The amount of storage used by the container registry. For a registry account, it's the sum of capacity used by all the repositories within a registry. It's sum of capacity used by shared layers, manifest files, and replica copies in each of its repositories.
float
byte
gauge
azure.container_registry.successful_pull_count.total
Number of successful image pulls
float
gauge
azure.container_registry.successful_push_count.total
Number of successful image pushes
float
gauge
azure.container_registry.total_pull_count.total
Number of image pulls in total
float
gauge
azure.container_registry.total_push_count.total
Number of image pushes in total
float
gauge
azure.dimensions.geolocation
Geolocation of the container registry
keyword
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

container_service This data stream will collect metrics from the container services, these metrics will have a timegrain every 5 minutes, so the period for container_service should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.container_service.kube_node_status_allocatable_cpu_cores.avg
Total number of available cpu cores in a managed cluster
float
gauge
azure.container_service.kube_node_status_allocatable_memory_bytes.avg
Total amount of available memory in a managed cluster
float
gauge
azure.container_service.kube_node_status_condition.avg
Statuses for various node conditions
float
gauge
azure.container_service.kube_pod_status_phase.avg
Number of pods by phase
float
gauge
azure.container_service.kube_pod_status_ready.avg
Number of pods in Ready state
float
gauge
azure.dimensions.condition
Pod or Node conditions
keyword
azure.dimensions.namespace
Pod namespace
keyword
azure.dimensions.node
Node name
keyword
azure.dimensions.phase
Pod phase
keyword
azure.dimensions.pod
Pod name
keyword
azure.dimensions.status
Statuses for various node conditions
keyword
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

database_account This data stream will collect relevant metrics from specified database accounts, these metrics will have a timegrain every 5 minutes, so the period for database_account should be 300s or multiples of 300s.

Exported fields

FieldDescriptionTypeMetric Type
@timestamp
Event timestamp.
date
agent.id
Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id.
keyword
azure.application_id
The application ID
keyword
azure.database_account.*.*
database account
object
gauge
azure.dimensions.closure_reason
Reason of the Cassandra Connection Closures
keyword
azure.dimensions.command_name
Mongo requests command name
keyword
azure.dimensions.database_name
Database name
keyword
azure.dimensions.resource_name
Name of the resource
keyword
azure.dimensions.status_code
Status code of the made to database requests
keyword
azure.namespace
The namespace selected
keyword
azure.resource.group
The resource group
keyword
azure.resource.id
The id of the resource
keyword
azure.resource.name
The name of the resource
keyword
azure.resource.tags.*
Azure resource tags.
object
azure.resource.type
The type of the resource
keyword
azure.subscription_id
The subscription ID
keyword
azure.timegrain
The Azure metric timegrain
keyword
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
container.runtime
Runtime managing this container.
keyword
data_stream.dataset
Data stream dataset name.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
dataset.name
Dataset name.
constant_keyword
dataset.namespace
Dataset namespace.
constant_keyword
dataset.type
Dataset type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host
A host is defined as a general computing instance. ECS host.* fields should be populated with details about the host on which the event happened, or from which the measurement was taken. Host types include hardware, virtual machines, Docker containers, and Kubernetes nodes.
group
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
service.address
Service address
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword

Changelog

VersionDetailsKibana version(s)

1.6.7

Enhancement View pull request
Clarify generic vs specialized integrations on Azure metrics pages.

8.12.0 or higher

1.6.6

Bug fix View pull request
Fix capacity and count metrics visualizations in the overview, blob, table, and file storage dashboards.

8.12.0 or higher

1.6.5

Enhancement View pull request
Consolidate content on Azure metrics pages.

8.12.0 or higher

1.6.4

Enhancement View pull request
Consolidate content on Azure metrics pages.

8.12.0 or higher

1.6.3

Enhancement View pull request
Consolidate content on the Azure Container Instance Metrics doc page.

8.12.0 or higher

1.6.2

Enhancement View pull request
Consolidate content on the Azure Container Registry Metrics doc page.

8.12.0 or higher

1.6.1

Enhancement View pull request
Consolidate content on the Azure Monitor Metrics doc page.

8.12.0 or higher

1.6.0

Enhancement View pull request
Add support for integration secrets.

8.12.0 or higher

1.5.0

Enhancement View pull request
Update visualizations of Queue Storage Overview, Table Storage Overview, File Storage Overview & Storage Overview dashboards.

8.11.2 or higher

1.4.4

Enhancement View pull request
Migrate Blob Storage Overview dashboard to lens.

8.11.2 or higher

1.4.3

Enhancement View pull request
Remove suffix from Compute VMs Overview dashboard.

8.11.2 or higher

1.4.2

Enhancement View pull request
Apply documentation guidelines and add generic setup section to Azure Resource Metrics.

8.11.2 or higher

1.4.1

Enhancement View pull request
Expand Azure guest metrics section.

8.11.2 or higher

1.4.0

Enhancement View pull request
Enable time series data streams for all metrics dataset. This dramatically reduces storage for metrics and is expected to progressively improve query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html.

8.11.2 or higher

1.3.0

Enhancement View pull request
Allow rerouting of Azure metrics events to a different data stream.

8.10.2 or higher

1.2.1

Bug fix View pull request
Add missing dimension metadata to the database_account datastream; fix typo in the container_registry field definition

8.10.2 or higher

1.2.0

Enhancement View pull request
Enable time series data streams for the storage_account metrics dataset. This dramatically reduces storage for metrics and is expected to progressively improve query performance. For more details, see https://www.elastic.co/guide/en/elasticsearch/reference/current/tsds.html.

8.10.2 or higher

1.1.1

Enhancement View pull request
Add metric_type metadata to the storage_account datastream

8.10.2 or higher

1.1.0

Enhancement View pull request
Add dimensions to the storage account datastream

8.10.2 or higher

1.0.43

Enhancement View pull request
Migrate File Storage Overview dashboard to lens.

8.9.0 or higher

1.0.42

Enhancement View pull request
Migrate Table Storage Overview dashboard to lens.

8.9.0 or higher

1.0.41

Enhancement View pull request
Migrate Queue Storage Overview dashboard to lens.

8.9.0 or higher

1.0.40

Enhancement View pull request
Add dimension and metric_type metadata to the database_account datastream

8.9.0 or higher

1.0.39

Bug fix View pull request
Remove region dimension in the database_account datastream

8.9.0 or higher

1.0.38

Enhancement View pull request
Migrate Compute VMs Overview dashboard to lens.

8.9.0 or higher

1.0.37

Enhancement View pull request
Migrate Storage Overview dashboard to lens.

8.9.0 or higher

1.0.36

Enhancement View pull request
Migrate Container Instance Overview dashboard to lens.

8.9.0 or higher

1.0.35

Bug fix View pull request
Normalize the azure.dimentions.status field value to lowercase. Values from Azure come in lowercase and capitalized versions (e.g., True/true/False/false).

8.9.0 or higher

1.0.34

Enhancement View pull request
Add dimension and metric_type metadata to the monitor datastream

8.9.0 or higher

1.0.33

Enhancement View pull request
Add missing region dimension, remove outdated azure metrics for the database_account datastream

8.9.0 or higher

1.0.32

Enhancement View pull request
Migrate Container Registry Overview dashboard to lens.

8.9.0 or higher

1.0.31

Enhancement View pull request
Migrate Compute VM Guest Memory & Process Metrics Compute VM dashboard to lens.

8.9.0 or higher

1.0.30

Enhancement View pull request
Migrate Compute VM Guest ASP.NET & Sql Server dashboard to lens.

8.9.0 or higher

1.0.29

Enhancement View pull request
Migrate Compute VM Guest Linux Metrics Overview dashboard to lens.

8.9.0 or higher

1.0.28

Enhancement View pull request
Add dimension and metric_type metadata to the compute_vm datastream

8.9.0 or higher

1.0.27

Enhancement View pull request
Migrate Container Service Overview dashboard to lens.

8.4.0 or higher

1.0.26

Enhancement View pull request
Migrate VM Scale Sets Overview dashboard to lens.

8.4.0 or higher

1.0.25

Enhancement View pull request
Migrate Database Account Overview dashboard to lens.

8.4.0 or higher

1.0.24

Bug fix View pull request
Fix the metrics field name in the container instance datastream.

8.3.0 or higher

1.0.23

Enhancement View pull request
Add dimension and metric_type metadata to the compute_vm_scaleset datastream

8.3.0 or higher

1.0.22

Enhancement View pull request
Add dimension and metric_type metadata to the container_registry datastream

8.3.0 or higher

1.0.21

Enhancement View pull request
Migrate the visualizations to by value in dashboards to minimize the saved object clutter and reduce time to load.

8.3.0 or higher

1.0.20

Enhancement View pull request
Add missing azure dimensions to the container_registry and compute_vm_scaleset datastreams

7.14.0 or higher
8.0.0 or higher

1.0.19

Enhancement View pull request
Add dimension and metric_type metadata to the container_service datastream

7.14.0 or higher
8.0.0 or higher

1.0.18

Enhancement View pull request
Add missing azure dimensions to the kube_pod_status_phase and kube_pod_status_ready metrics

7.14.0 or higher
8.0.0 or higher

1.0.17

Enhancement View pull request
Add dimension and metric_type metadata to the container_instance datastream

7.14.0 or higher
8.0.0 or higher

1.0.16

Enhancement View pull request
Added categories and/or subcategories.

7.14.0 or higher
8.0.0 or higher

1.0.15

Bug fix View pull request
Fix dimensions for CassandraConnectionClosures metric configuration

7.14.0 or higher
8.0.0 or higher

1.0.14

Bug fix View pull request
Fix CassandraConnectionClosures metric configuration

7.14.0 or higher
8.0.0 or higher

1.0.13

Bug fix View pull request
Replace the link to Indonesian docs with English docs

7.14.0 or higher
8.0.0 or higher

1.0.12

Enhancement View pull request
Add container_instance pipeline test

7.14.0 or higher
8.0.0 or higher

1.0.11

Enhancement View pull request
Add compute_vm_scaleset pipeline test

7.14.0 or higher
8.0.0 or higher

1.0.10

Enhancement View pull request
Add compute_vm pipeline test

7.14.0 or higher
8.0.0 or higher

1.0.9

Enhancement View pull request
Move database_account metrics config from beats to integrations

7.14.0 or higher
8.0.0 or higher

1.0.8

Enhancement View pull request
Move container_registry metrics config from beats to integrations

1.0.7

Enhancement View pull request
Move container_service metrics config from beats to integrations

1.0.6

Enhancement View pull request
Move container_instance metrics config from beats to integrations

1.0.5

Enhancement View pull request
Fix doc build

7.14.0 or higher
8.0.0 or higher

1.0.4

Enhancement View pull request
Update Readme

1.0.3

Enhancement View pull request
Add documentation for multi-fields

7.14.0 or higher
8.0.0 or higher

1.0.2

Enhancement View pull request
Update documentation

1.0.1

Enhancement View pull request
Remove beta release tag from data streams

7.14.0 or higher
8.0.0 or higher

1.0.0

Enhancement View pull request
Move azure_metrics package to GA

7.14.0 or higher
8.0.0 or higher

0.5.1

Enhancement View pull request
Update to ECS 8.0

0.5.0

Enhancement View pull request
Release package for v8.0.0

0.4.1

Enhancement View pull request
Uniform with guidelines

0.4.0

Enhancement View pull request
Update to ECS 1.12.0

0.3.2

Enhancement View pull request
Add/update configuration options definitions in the docs + add additional option for storage account

0.3.1

Enhancement View pull request
Clean up text and fix dashboards

0.3.0

Enhancement View pull request
Add guest metrics

0.2.0

Enhancement View pull request
Update integration description

0.1.0

Enhancement View pull request
Update dashboards, doc, ecs schema

0.0.1

Enhancement View pull request
Create package

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