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Service Ping development guidelines

Service Ping is a GitLab process that collects and sends a weekly payload to GitLab. The payload provides important high-level data that helps our product, support, and sales teams understand how GitLab is used. The data helps to:

  • Compare counts month over month (or week over week) to get a rough sense for how an instance uses different product features.
  • Collect other facts that help us classify and understand GitLab installations.
  • Calculate our stage monthly active users (SMAU), which helps to measure the success of our stages and features.

Service Ping information is not anonymous. It's linked to the instance's hostname, but does not contain project names, usernames, or any other specific data.

Service Ping is enabled by default. However, you can disable certain metrics on any self-managed instance. When Service Ping is enabled, GitLab gathers data from the other instances and can show your instance's usage statistics to your users.

Service Ping terminology

We use the following terminology to describe the Service Ping components:

  • Service Ping: the process that collects and generates a JSON payload.
  • Service Data: the contents of the Service Ping JSON payload. This includes metrics.
  • Metrics: primarily made up of row counts for different tables in an instance's database. Each metric has a corresponding metric definition in a YAML file.
  • MAU: monthly active users.
  • WAU: weekly active users.

Limitations

  • Service Ping delivers only metrics, not individual events.
  • A metric has to be present and instrumented in the codebase for a GitLab version to be delivered in Service Pings for that version.

Service Ping request flow

The following example shows a basic request/response flow between a GitLab instance, the Versions Application, the License Application, Salesforce, the GitLab S3 Bucket, the GitLab Snowflake Data Warehouse, and Tableau:

sequenceDiagram
    participant GitLab Instance
    participant Versions Application
    participant Licenses Application
    participant Salesforce
    participant S3 Bucket
    participant Snowflake DW
    participant Tableau Dashboards
    GitLab Instance->>Versions Application: Send Service Ping
    loop Process usage data
        Versions Application->>Versions Application: Parse usage data
        Versions Application->>Versions Application: Write to database
        Versions Application->>Versions Application: Update license ping time
    end
    loop Process data for Salesforce
        Versions Application-xLicenses Application: Request Zuora subscription id
        Licenses Application-xVersions Application: Zuora subscription id
        Versions Application-xSalesforce: Request Zuora account id  by Zuora subscription id
        Salesforce-xVersions Application: Zuora account id
        Versions Application-xSalesforce: Usage data for the Zuora account
    end
    Versions Application->>S3 Bucket: Export Versions database
    S3 Bucket->>Snowflake DW: Import data
    Snowflake DW->>Snowflake DW: Transform data using dbt
    Snowflake DW->>Tableau Dashboards: Data available for querying
    Versions Application->>GitLab Instance: DevOps Score (Conversational Development Index)

How Service Ping works

  1. The Service Ping cron job is set in Sidekiq to run weekly.

  2. When the cron job runs, it calls Gitlab::Usage::ServicePingReport.for(output: :all_metrics_values).

  3. Gitlab::Usage::ServicePingReport.for(output: :all_metrics_values) cascades down to ~400+ other counter method calls.

  4. The response of all methods calls are merged together into a single JSON payload.

  5. The JSON payload is then posted to the Versions application If a firewall exception is needed, the required URL depends on several things. If the hostname is version.gitlab.com, the protocol is TCP, and the port number is 443, the required URL is https://version.gitlab.com/.

  6. In case of an error, it will be reported to the Version application along with following pieces of information:

    • uuid - GitLab instance unique identifier
    • hostname - GitLab instance hostname
    • version - GitLab instance current versions
    • elapsed - Amount of time which passed since Service Ping report process started and moment of error occurrence
    • message - Error message
    
{
  "uuid"=>"02333324-1cd7-4c3b-a45b-a4993f05fb1d",
  "hostname"=>"127.0.0.1",
  "version"=>"14.7.0-pre",
  "elapsed"=>0.006946,
  "message"=>'PG::UndefinedColumn: ERROR:  column \"non_existent_attribute\" does not exist\nLINE 1: SELECT COUNT(non_existent_attribute) FROM \"issues\" /*applica...'
}

  7. Finally, the timing metadata information that is used for diagnostic purposes is submitted to the Versions application. It consists of a list of metric identifiers and the time it took to calculate the metrics:

    {
      "metadata"=>
      {
        "uuid"=>"0000000-0000-0000-0000-000000000000",
        "metrics"=>
        [{"name"=>"version", "time_elapsed"=>1.1811964213848114e-05},
         {"name"=>"installation_type", "time_elapsed"=>0.00017242692410945892},
         {"name"=>"license_billable_users", "time_elapsed"=>0.009520471096038818},
         ....
         {"name"=>"counts.clusters_platforms_eks",
          "time_elapsed"=>0.05638605775311589},
         {"name"=>"counts.clusters_platforms_gke",
          "time_elapsed"=>0.40995341585949063},
         {"name"=>"counts.clusters_platforms_user",
          "time_elapsed"=>0.06410990096628666},
         {"name"=>"counts.clusters_management_project",
          "time_elapsed"=>0.24020783510059118}
        ]
      }
    }

On a Geo secondary site

We also collect metrics specific to Geo secondary sites to send with Service Ping.

  1. The Geo secondary service ping cron job is set in Sidekiq to run weekly.

  2. When the cron job runs, it calls SecondaryUsageData.update_metrics!. This collects the relevant metrics from Prometheus and stores the data in the Geo secondary tracking database for transmission to the primary site during a Geo node status update.

  3. Geo node status data is sent with the JSON payload in the process described above. The following is an example of the payload where each object in the array represents a Geo node:

    [
  {
    "git_fetch_event_count_weekly"=>nil,
    "git_push_event_count_weekly"=>nil,
    ... other geo node status fields
  }
]

Example Service Ping payload

The following is example content of the Service Ping payload.

{
  "uuid": "0000000-0000-0000-0000-000000000000",
  "hostname": "example.com",
  "version": "12.10.0-pre",
  "installation_type": "omnibus-gitlab",
  "active_user_count": 999,
  "recorded_at": "2020-04-17T07:43:54.162+00:00",
  "edition": "EEU",
  "license_md5": "00000000000000000000000000000000",
  "license_sha256": "0000000000000000000000000000000000000000000000000000000000000000",
  "license_id": null,
  "historical_max_users": 999,
  "licensee": {
    "Name": "ABC, Inc.",
    "Email": "email@example.com",
    "Company": "ABC, Inc."
  },
  "license_user_count": 999,
  "license_starts_at": "2020-01-01",
  "license_expires_at": "2021-01-01",
  "license_plan": "ultimate",
  "license_add_ons": {
  },
  "license_trial": false,
  "counts": {
    "assignee_lists": 999,
    "boards": 999,
    "ci_builds": 999,
    ...
  },
  "container_registry_enabled": true,
  "dependency_proxy_enabled": false,
  "gitlab_shared_runners_enabled": true,
  "gravatar_enabled": true,
  "influxdb_metrics_enabled": true,
  "ldap_enabled": false,
  "mattermost_enabled": false,
  "omniauth_enabled": true,
  "prometheus_enabled": false,
  "prometheus_metrics_enabled": false,
  "reply_by_email_enabled": "incoming+%{key}@incoming.gitlab.com",
  "signup_enabled": true,
  "projects_with_expiration_policy_disabled": 999,
  "projects_with_expiration_policy_enabled": 999,
  ...
  "elasticsearch_enabled": true,
  "license_trial_ends_on": null,
  "geo_enabled": false,
  "git": {
    "version": {
      "major": 2,
      "minor": 26,
      "patch": 1
    }
  },
  "gitaly": {
    "version": "12.10.0-rc1-93-g40980d40",
    "servers": 56,
    "clusters": 14,
    "filesystems": [
      "EXT_2_3_4"
    ]
  },
  "gitlab_pages": {
    "enabled": true,
    "version": "1.17.0"
  },
  "container_registry_server": {
    "vendor": "gitlab",
    "version": "2.9.1-gitlab",
    "db_enabled": false
  },
  "database": {
    "adapter": "postgresql",
    "version": "9.6.15",
    "pg_system_id": 6842684531675334351,
    "flavor": "Cloud SQL for PostgreSQL"
  },
  "analytics_unique_visits": {
    "g_analytics_contribution": 999,
    ...
  },
  "usage_activity_by_stage": {
    "configure": {
      "project_clusters_enabled": 999,
      ...
    },
    "create": {
      "merge_requests": 999,
      ...
    },
    "manage": {
      "events": 999,
      ...
    },
    "monitor": {
      "clusters": 999,
      ...
    },
    "package": {
      "projects_with_packages": 999
    },
    "plan": {
      "issues": 999,
      ...
    },
    "release": {
      "deployments": 999,
      ...
    },
    "secure": {
      "user_container_scanning_jobs": 999,
      ...
    },
    "verify": {
      "ci_builds": 999,
      ...
    }
  },
  "usage_activity_by_stage_monthly": {
    "configure": {
      "project_clusters_enabled": 999,
      ...
    },
    "create": {
      "merge_requests": 999,
      ...
    },
    "manage": {
      "events": 999,
      ...
    },
    "monitor": {
      "clusters": 999,
      ...
    },
    "package": {
      "projects_with_packages": 999
    },
    "plan": {
      "issues": 999,
      ...
    },
    "release": {
      "deployments": 999,
      ...
    },
    "secure": {
      "user_container_scanning_jobs": 999,
      ...
    },
    "verify": {
      "ci_builds": 999,
      ...
    }
  },
  "topology": {
    "duration_s": 0.013836685999194742,
    "application_requests_per_hour": 4224,
    "query_apdex_weekly_average": 0.996,
    "failures": [],
    "nodes": [
      {
        "node_memory_total_bytes": 33269903360,
        "node_memory_utilization": 0.35,
        "node_cpus": 16,
        "node_cpu_utilization": 0.2,
        "node_uname_info": {
          "machine": "x86_64",
          "sysname": "Linux",
          "release": "4.19.76-linuxkit"
        },
        "node_services": [
          {
            "name": "web",
            "process_count": 16,
            "process_memory_pss": 233349888,
            "process_memory_rss": 788220927,
            "process_memory_uss": 195295487,
            "server": "puma"
          },
          {
            "name": "sidekiq",
            "process_count": 1,
            "process_memory_pss": 734080000,
            "process_memory_rss": 750051328,
            "process_memory_uss": 731533312
          },
          ...
        ],
        ...
      },
      ...
    ]
  }
}

Export Service Ping data

Rake tasks exist to export Service Ping data in different formats.

  • The Rake tasks export the raw SQL queries for count, distinct_count, sum.
  • The Rake tasks export the Redis counter class or the line of the Redis block for redis_usage_data.
  • The Rake tasks calculate the alt_usage_data metrics.

In the home directory of your local GitLab installation run the following Rake tasks for either the YAML or the JSON versions:

# for YAML export of SQL queries
bin/rake gitlab:usage_data:dump_sql_in_yaml

# for JSON export of SQL queries
bin/rake gitlab:usage_data:dump_sql_in_json

# for JSON export of Non SQL data
bin/rake gitlab:usage_data:dump_non_sql_in_json

# You may pipe the output into a file
bin/rake gitlab:usage_data:dump_sql_in_yaml > ~/Desktop/usage-metrics-2020-09-02.yaml

Fallback values for Service Ping

We return fallback values in these cases:

Case Value
Deprecated Metric (Removed with version 14.3) -1000
Timeouts, general failures -1
Standard errors in counters -2
Histogram metrics failure { '-1' => -1 }

Monitoring

Service Ping reporting process state is monitored with Tableau dashboard.

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