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Databricks Workspace

Databricks Workspace

Remotely monitor your Databricks Workspaces!

Extension
Free trialDocumentation
Databricks Cost Management DashboardDatabricks AI Gateway DashboardDatabricks Workspace Jobs in Distributed Tracing appDatabricks Job as a trace with task spans in Distributed Tracing app
  • Product information
  • Release notes

Overview

With Dynatrace, you can remotely monitor your Databricks Workspaces. This extension works in harmony with the OneAgent based Databricks extension but, is also ideal for workspaces and clusters where the OneAgent cannot be installed such as Databricks Serverless compute.

Use cases

  • Gather Databricks Job Run metrics including success rate and job duration
  • For Databricks Jobs running on All-purpose and Job Compute Clusters understand cost of these jobs (currently Azure Databricks is supported)
  • Ingest Job and Task run information as traces allowing for further analysis
  • Gather health metrics and detailed usage information from your Databricks model serving endpoints
  • Ingest billing data from Databricks to understand usage across workspaces, SKU & product category, jobs, and more

Get started

For more information on the installation and configuration, please see Databricks Workspace extension in the Dynatrace Documentation.

Details

Compatibility information

Databricks API version 2.2 is used for the APIs below:

  • List job runs
  • Get a single job

API version 2.1 is used for the following:

  • Get cluster info

API version 2.0 is used for the following:

  • Get all serving endpoints
  • Get metrics of a serving endpoint

The following system tables are queried when ingesting model serving endpoint data:

  • system.access.workspaces_latest
  • system.serving.endpoint_usage
  • system.serving.served_entities

And billing & cost data:

  • system.access.workspaces_latest
  • system.billing.usage
  • system.billing.list_prices
  • system.lakeflow.jobs

To query any of the above system table data, the workspace must also have:

  • Unity Catalog enabled.
  • A SQL warehouse set up.

For the databricks.job.cost metric, currently only Azure Databricks workspaces are supported.

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Feature sets

Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.

Feature setsNumber of metrics included
Metric nameMetric keyDescriptionUnit
Job Run Durationdatabricks.job.duration.run-MilliSecond
Job Success Ratedatabricks.job.success_rate-Percent
Metric nameMetric keyDescriptionUnit
Job Setup Durationdatabricks.job.duration.setup-MilliSecond
Job Execution Durationdatabricks.job.duration.execution-MilliSecond
Job Cleanup Durationdatabricks.job.duration.cleanup-MilliSecond
Job Queue Durationdatabricks.job.duration.queue-MilliSecond
Metric nameMetric keyDescriptionUnit
Job Cost (Approx)databricks.job.cost-Unspecified
Metric nameMetric keyDescriptionUnit
Model Serving Endpoint Memory Usage Percentagedatabricks.model_endpoint.mem_usage_percentage-Percent
Model Serving Endpoint CPU Usage Percentagedatabricks.model_endpoint.cpu_usage_percentage-Percent
Model Serving Endpoint Request Count Totaldatabricks.model_endpoint.request_count_total-Count
Model Serving Endpoint Request 5xx Count Totaldatabricks.model_endpoint.request_5xx_count_total-Count
Model Serving Endpoint Provisioned Concurrent Requests Totaldatabricks.model_endpoint.provisioned_concurrent_requests_total-Count
Model Serving Endpoint Request 4xx Count Totaldatabricks.model_endpoint.request_4xx_count_total-Count
Model Serving Endpoint GPU Usage Percentagedatabricks.model_endpoint.gpu_usage_percentage-Percent
Model Serving Endpoint GPU Memory Usage Percentagedatabricks.model_endpoint.gpu_memory_usage_percentage-Percent
Model Serving Endpoint Average Request Latencydatabricks.model_endpoint.request_latency_ms_avg-MilliSecond
Model Serving Endpoint P99 Request Latencydatabricks.model_endpoint.request_latency_ms_p99-MilliSecond
Model Serving Endpoint P95 Request Latencydatabricks.model_endpoint.request_latency_ms_p95-MilliSecond

Related to Databricks Workspace

Databricks logo

Databricks

Monitor your Databricks Clusters via its multiple APIs!

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.
ReleaseDate

Full version history

āš ļøBreaking change

Upgrading existing monitoring configurations from previous versions to this version will not be possible and will require recreating those monitoring configurations. New monitoring configurations will not be affected.

āœØNew in this version:

  • Monitor model serving endpoint usage and billing data from your workspaces with new Gen3 dashboards provided for analysis. See documentation for how to get started collecting this data.
  • Added the option to report running/active jobs as logs.
  • Added the option to report job tags as metric dimensions and trace attributes.
  • Support added for OAuth when querying Databricks APIs and system tables.
  • Credential Vault support added for all secrets provided in the configuration.
  • Updated Jobs API from v2.1 to v2.2.
  • Db.job.* attributes now added to all task spans.
  • Updated all Gen3 dashboard links to point to new entity pages in the Infrastructure and Operations app.
  • Databricks workspace name added to trace service name.

Full version history

v1.3.11

  • Vulnerability fix for protobuf:6.33.4 (CVE-2026-0994)

Full version history

1.3.9

  • DXS-3787
    • Update classic entity screen to remove optional dimension preventing data from being shown

Full version history

1.3.4

  • DXS-3317

    • Add Platform Dashboard
    • Add new Workspace Entity
    • Add Platform Screen
    • Add dt.security_context attribute

  • Updated how auto-detection of trace endpoint URL is done

  • Updated activation schema to allow for custom trace endpoint URL

    • Added custom Root CA path as an optional field

  • Fixes for job status metric and reporting for traces

Full version history

v1.0.2

  • DXS-3253
    • Update Library Versions

Full version history

V1.0.1

  • Initial version with updated Platform Dashboard link
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