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Chapter 16. Usability Analytics and Data Collection

Usability data collection is included with automation controller to collect data to better understand how automation controller users interact with it.

Only users installing a trial of or a fresh installation of are opted-in for this data collection.

Automation controller collects user data automatically to help improve the product.

For information on setting up Automation Analytics, see Configuring Automation Analytics.

16.1. Automation Analytics

When you imported your license for the first time, you were automatically opted in for the collection of data that powers Automation Analytics, a cloud service that is part of the Ansible Automation Platform subscription.

Important

For opt-in of Automation Analytics to have any effect, your instance of automation controller must be running on Red Hat Enterprise Linux.

As with Red Hat Insights, Automation Analytics is built to collect the minimum amount of data needed. No credential secrets, personal data, automation variables, or task output is gathered.

When you imported your license for the first time, you were automatically opted in to Automation Analytics. To configure or disable this feature, see Configuring Automation Analytics.

By default, the data is collected every four hours. When you enable this feature, data is collected up to a month in arrears (or until the previous collection). You can turn off this data collection at any time in the Miscellaneous System settings of the System configuration window.

This setting can also be enabled through the API by specifying INSIGHTS_TRACKING_STATE = true in either of these endpoints:

api/v2/settings/all
api/v2/settings/system

The Automation Analytics generated from this data collection can be found on the Red Hat Cloud Services portal.

Clusters data is the default view. This graph represents the number of job runs across all automation controller clusters over a period of time. The previous example shows a span of a week in a stacked bar-style chart that is organized by the number of jobs that ran successfully (in green) and jobs that failed (in red).

Alternatively, you can select a single cluster to view its job status information.

Job run status

This multi-line chart represents the number of job runs for a single automation controller cluster for a specified period of time. The preceding example shows a span of a week, organized by the number of successfully running jobs (in green) and jobs that failed (in red). You can specify the number of successful and failed job runs for a selected cluster over a span of one week, two weeks, and monthly increments.

On the clouds navigation panel, select Organization Statistics to view information for the following:

Note

The organization statistics page will be deprecated in a future release.

16.1.1. Use by organization

The following chart represents the number of tasks run inside all jobs by a particular organization.

Tasks by organization

16.1.2. Job runs by organization

This chart represents automation controller use across all automation controller clusters by organization, calculated by the number of jobs run by that organization.

Jobs by organization

16.1.3. Organization status

This bar chart represents automation controller use by organization and date, which is calculated by the number of jobs run by that organization on a particular date.

Alternatively, you can specify to show the number of job runs per organization in one week, two weeks, and monthly increments.

Organization status

16.2. Details of data collection

Automation Analytics collects the following classes of data from automation controller:

Basic configuration, such as which features are enabled, and what operating system is being used
Topology and status of the automation controller environment and hosts, including capacity and health
Counts of automation resources:
- organizations, teams, and users
- inventories and hosts
- credentials (indexed by type)
- projects (indexed by type)
- templates
- schedules
- active sessions
- running and pending jobs
Job execution details (start time, finish time, launch type, and success)
Automation task details (success, host id, playbook/role, task name, and module used)

You can use awx-manage gather_analytics (without --ship) to inspect the data that automation controller sends, so that you can satisfy your data collection concerns. This creates a tarball that contains the analytics data that is sent to Red Hat.

This file contains a number of JSON and CSV files. Each file contains a different set of analytics data.

16.2.1. manifest.json

manifest.json is the manifest of the analytics data. It describes each file included in the collection, and what version of the schema for that file is included.

The following is an example manifest.json file:

  "config.json": "1.1",
  "counts.json": "1.0",
  "cred_type_counts.json": "1.0",
  "events_table.csv": "1.1",
  "instance_info.json": "1.0",
  "inventory_counts.json": "1.2",
  "job_counts.json": "1.0",
  "job_instance_counts.json": "1.0",
  "org_counts.json": "1.0",
  "projects_by_scm_type.json": "1.0",
  "query_info.json": "1.0",
  "unified_job_template_table.csv": "1.0",
  "unified_jobs_table.csv": "1.0",
  "workflow_job_node_table.csv": "1.0",
  "workflow_job_template_node_table.csv": "1.0"
}

16.2.2. config.json

The config.json file contains a subset of the configuration endpoint /api/v2/config from the cluster. An example config.json is:

{
    "ansible_version": "2.9.1",
    "authentication_backends": [
        "social_core.backends.azuread.AzureADOAuth2",
        "django.contrib.auth.backends.ModelBackend"
    ],
    "external_logger_enabled": true,
    "external_logger_type": "splunk",
    "free_instances": 1234,
    "install_uuid": "d3d497f7-9d07-43ab-b8de-9d5cc9752b7c",
    "instance_uuid": "bed08c6b-19cc-4a49-bc9e-82c33936e91b",
    "license_expiry": 34937373,
    "license_type": "enterprise",
    "logging_aggregators": [
        "awx",
        "activity_stream",
        "job_events",
        "system_tracking"
    ],
    "pendo_tracking": "detailed",
    "platform": {
        "dist": [
            "redhat",
            "7.4",
            "Maipo"
        ],
        "release": "3.10.0-693.el7.x86_64",
        "system": "Linux",
        "type": "traditional"
    },
    "total_licensed_instances": 2500,
    "controller_url_base": "https://ansible.rhdemo.io",
    "controller_version": "3.6.3"
}

Which includes the following fields:

ansible_version: The system Ansible version on the host
authentication_backends: The user authentication backends that are available. For more information, see Configuring an authentication type.
external_logger_enabled: Whether external logging is enabled
external_logger_type: What logging backend is in use if enabled. For more information, see Logging and aggregation.
logging_aggregators: What logging categories are sent to external logging. For more information, see Logging and aggregation.
free_instances: How many hosts are available in the license. A value of zero means the cluster is fully consuming its license.
install_uuid: A UUID for the installation (identical for all cluster nodes)
instance_uuid: A UUID for the instance (different for each cluster node)
license_expiry: Time to expiry of the license, in seconds
license_type: The type of the license (should be 'enterprise' for most cases)
pendo_tracking: State of usability_data_collection
platform: The operating system the cluster is running on
total_licensed_instances: The total number of hosts in the license
controller_url_base: The base URL for the cluster used by clients (shown in Automation Analytics)
controller_version: Version of the software on the cluster

16.2.3. instance_info.json

The instance_info.json file contains detailed information on the instances that make up the cluster, organized by instance UUID.

The following is an example instance_info.json file:

{
    "bed08c6b-19cc-4a49-bc9e-82c33936e91b": {
        "capacity": 57,
        "cpu": 2,
        "enabled": true,
        "last_isolated_check": "2019-08-15T14:48:58.553005+00:00",
        "managed_by_policy": true,
        "memory": 8201400320,
        "uuid": "bed08c6b-19cc-4a49-bc9e-82c33936e91b",
        "version": "3.6.3"
    }
    "c0a2a215-0e33-419a-92f5-e3a0f59bfaee": {
        "capacity": 57,
        "cpu": 2,
        "enabled": true,
        "last_isolated_check": "2019-08-15T14:48:58.553005+00:00",
        "managed_by_policy": true,
        "memory": 8201400320,
        "uuid": "c0a2a215-0e33-419a-92f5-e3a0f59bfaee",
        "version": "3.6.3"
    }
}

Which includes the following fields:

capacity: The capacity of the instance for executing tasks.
cpu: Processor cores for the instance
memory: Memory for the instance
enabled: Whether the instance is enabled and accepting tasks
managed_by_policy: Whether the instance’s membership in instance groups is managed by policy, or manually managed
version: Version of the software on the instance

16.2.4. counts.json

The counts.json file contains the total number of objects for each relevant category in a cluster.

The following is an example counts.json file:

{
    "active_anonymous_sessions": 1,
    "active_host_count": 682,
    "active_sessions": 2,
    "active_user_sessions": 1,
    "credential": 38,
    "custom_inventory_script": 2,
    "custom_virtualenvs": 4,
    "host": 697,
    "inventories": {
        "normal": 20,
        "smart": 1
    },
    "inventory": 21,
    "job_template": 78,
    "notification_template": 5,
    "organization": 10,
    "pending_jobs": 0,
    "project": 20,
    "running_jobs": 0,
    "schedule": 16,
    "team": 5,
    "unified_job": 7073,
    "user": 28,
    "workflow_job_template": 15
}

Each entry in this file is for the corresponding API objects in /api/v2, with the exception of the active session counts.

16.2.5. org_counts.json

The org_counts.json file contains information on each organization in the cluster, and the number of users and teams associated with that organization.

The following is an example org_counts.json file:

{
    "1": {
        "name": "Operations",
        "teams": 5,
        "users": 17
    },
    "2": {
        "name": "Development",
        "teams": 27,
        "users": 154
    },
    "3": {
        "name": "Networking",
        "teams": 3,
        "users": 28
    }
}

16.2.6. cred_type_counts.json

The cred_type_counts.json file contains information on the different credential types in the cluster, and how many credentials exist for each type.

The following is an example cred_type_counts.json file:

{
    "1": {
        "credential_count": 15,
        "managed_by_controller": true,
        "name": "Machine"
    },
    "2": {
        "credential_count": 2,
        "managed_by_controller": true,
        "name": "Source Control"
    },
    "3": {
        "credential_count": 3,
        "managed_by_controller": true,
        "name": "Vault"
    },
    "4": {
        "credential_count": 0,
        "managed_by_controller": true,
        "name": "Network"
    },
    "5": {
        "credential_count": 6,
        "managed_by_controller": true,
        "name": "Amazon Web Services"
    },
    "6": {
        "credential_count": 0,
        "managed_by_controller": true,
        "name": "OpenStack"
    },

16.2.7. inventory_counts.json

The inventory_counts.json file contains information on the different inventories in the cluster.

The following is an example inventory_counts.json file:

{
    "1": {
        "hosts": 211,
        "kind": "",
        "name": "AWS Inventory",
        "source_list": [
            {
                "name": "AWS",
                "num_hosts": 211,
                "source": "ec2"
            }
        ],
        "sources": 1
    },
    "2": {
        "hosts": 15,
        "kind": "",
        "name": "Manual inventory",
        "source_list": [],
        "sources": 0
    },
    "3": {
        "hosts": 25,
        "kind": "",
        "name": "SCM inventory - test repo",
        "source_list": [
            {
                "name": "Git source",
                "num_hosts": 25,
                "source": "scm"
            }
        ],
        "sources": 1
    }
    "4": {
        "num_hosts": 5,
        "kind": "smart",
        "name": "Filtered AWS inventory",
        "source_list": [],
        "sources": 0
    }
}

16.2.8. projects_by_scm_type.json

The projects_by_scm_type.json file provides a breakdown of all projects in the cluster, by source control type.

The following is an example projects_by_scm_type.json file:

{
    "git": 27,
    "hg": 0,
    "insights": 1,
    "manual": 0,
    "svn": 0
}

16.2.9. query_info.json

The query_info.json file provides details on when and how the data collection happened.

The following is an example query_info.json file:

{
    "collection_type": "manual",
    "current_time": "2019-11-22 20:10:27.751267+00:00",
    "last_run": "2019-11-22 20:03:40.361225+00:00"
}

collection_type is one of manual or automatic.

16.2.10. job_counts.json

The job_counts.json file provides details on the job history of the cluster, describing both how jobs were launched, and what their finishing status is.

The following is an example job_counts.json file:

    "launch_type": {
        "dependency": 3628,
        "manual": 799,
        "relaunch": 6,
        "scheduled": 1286,
        "scm": 6,
        "workflow": 1348
    },
    "status": {
        "canceled": 7,
        "failed": 108,
        "successful": 6958
    },
    "total_jobs": 7073
}

16.2.11. job_instance_counts.json

The job_instance_counts.json file provides the same detail as job_counts.json, broken down by instance.

The following is an example job_instance_counts.json file:

{
    "localhost": {
        "launch_type": {
            "dependency": 3628,
            "manual": 770,
            "relaunch": 3,
            "scheduled": 1009,
            "scm": 6,
            "workflow": 1336
        },
        "status": {
            "canceled": 2,
            "failed": 60,
            "successful": 6690
        }
    }
}

Note that instances in this file are by hostname, not by UUID as they are in instance_info.

16.2.12. unified_job_template_table.csv

The unified_job_template_table.csv file provides information on job templates in the system. Each line contains the following fields for the job template:

id: Job template id.
name: Job template name.
polymorphic_ctype_id: The id of the type of template it is.
model: The name of the polymorphic_ctype_id for the template. Examples include project, systemjobtemplate, jobtemplate, inventorysource, and workflowjobtemplate.
created: When the template was created.
modified: When the template was last updated.
created_by_id: The userid that created the template. Blank if done by the system.
modified_by_id: The userid that last modified the template. Blank if done by the system.
current_job_id: Currently executing job id for the template, if any.
last_job_id: Last execution of the job.
last_job_run: Time of last execution of the job.
last_job_failed: Whether the last_job_id failed.
status: Status of last_job_id.
next_job_run: Next scheduled execution of the template, if any.
next_schedule_id: Schedule id for next_job_run, if any.

16.2.13. unified_jobs_table.csv

The unified_jobs_table.csv file provides information on jobs run by the system.

Each line contains the following fields for a job:

id: Job id.
name: Job name (from the template).
polymorphic_ctype_id: The id of the type of job it is.
model: The name of the polymorphic_ctype_id for the job. Examples include job and workflow.
organization_id: The organization ID for the job.
organization_name: Name for the organization_id.
created: When the job record was created.
started: When the job started executing.
finished: When the job finished.
elapsed: Elapsed time for the job in seconds.
unified_job_template_id: The template for this job.
launch_type: One of manual, scheduled, relaunched, scm, workflow, or dependency.
schedule_id: The id of the schedule that launched the job, if any,
instance_group_id: The instance group that executed the job.
execution_node: The node that executed the job (hostname, not UUID).
controller_node: The automation controller node for the job, if run as an isolated job, or in a container group.
cancel_flag: Whether the job was canceled.
status: Status of the job.
failed: Whether the job failed.
job_explanation: Any additional detail for jobs that failed to execute properly.
forks: Number of forks executed for this job.

16.2.14. workflow_job_template_node_table.csv

The workflow_job_template_node_table.csv file provides information on the nodes defined in workflow job templates on the system.

Each line contains the following fields for a worfklow job template node:

id: Node id.
created: When the node was created.
modified: When the node was last updated.
unified_job_template_id: The id of the job template, project, inventory, or other parent resource for this node.
workflow_job_template_id: The workflow job template that contains this node.
inventory_id: The inventory used by this node.
success_nodes: Nodes that are triggered after this node succeeds.
failure_nodes: Nodes that are triggered after this node fails.
always_nodes: Nodes that always are triggered after this node finishes.
all_parents_must_converge: Whether this node requires all its parent conditions satisfied to start.

16.2.15. workflow_job_node_table.csv

The workflow_job_node_table.csv provides information on the jobs that have been executed as part of a workflow on the system.

Each line contains the following fields for a job run as part of a workflow:

id: Node id.
created: When the node was created.
modified: When the node was last updated.
job_id: The job id for the job run for this node.
unified_job_template_id: The id of the job template, project, inventory, or other parent resource for this node.
workflow_job_template_id: The workflow job template that contains this node.
inventory_id: The inventory used by this node.
success_nodes: Nodes that are triggered after this node succeeds.
failure_nodes: Nodes that are triggered after this node fails.
always_nodes: Nodes that always are triggered after this node finishes.
do_not_run: Nodes that were not run in the workflow due to their start conditions not being triggered.
all_parents_must_converge: Whether this node requires all its parent conditions satisfied to start.

16.2.16. events_table.csv

The events_table.csv file provides information on all job events from all job runs in the system.

Each line contains the following fields for a job event:

id: Event id.
uuid: Event UUID.
created: When the event was created.
parent_uuid: The parent UUID for this event, if any.
event: The Ansible event type.
task_action: The module associated with this event, if any (such as command or yum).
failed: Whether the event returned failed.
changed: Whether the event returned changed.
playbook: Playbook associated with the event.
play: Play name from playbook.
task: Task name from playbook.
role: Role name from playbook.
job_id: Id of the job this event is from.
host_id: Id of the host this event is associated with, if any.
host_name: Name of the host this event is associated with, if any.
start: Start time of the task.
end: End time of the task.
duration: Duration of the task.
warnings: Any warnings from the task or module.
deprecations: Any deprecation warnings from the task or module.

16.3. Analytics Reports

Reports for data collected are available through console.redhat.com.

Other Automation Analytics data currently available and accessible through the platform UI include the following:

Automation Calculator is a view-only version of the Automation Calculator utility that shows a report that represents (possible) savings to the subscriber.

Automation calculator

Host Metrics is an analytics report collected for host data such as, when they were first automated, when they were most recently automated, how many times they were automated, and how many times each host has been deleted.

Subscription Usage reports the historical usage of your subscription. Subscription capacity and licenses consumed per month are displayed, with the ability to filter by the last year, two years, or three years.