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Databricks Workspace

Databricks Workspace

Remotely monitor your Databricks Workspaces!

Extension
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Databricks Jobs Dashboard with all the metrics available.Databricks Jobs Service that is created when Job Run traces are ingested.Databricks Jobs Trace example with a Job and a single task.
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  • 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

Get started

  • Install Dynatrace Environment ActiveGate
  • Ensure connectivity between this ActiveGate and your Databricks Workspace URL
  • Create a Databricks Access Token for your Databricks Workspace
  • Create a Dynatrace Access Token with the openTelemetryTrace.ingest scope
  • Create a New Monitoring Configuration in Dynatrace, using the URL and tokens above

Details

This extension remotely queries the Databricks List Job Runs and Get cluster info APIs using the provided Databricks URL and Access token. With that information, it calculates and reports the various metrics selected from the Feature Sets in the Dynatrace Monitoring configuraiton.

If trace ingestion is configured, the extension will transform the data from the Databricks APIs into OpenTelemetry traces with the Job as the parent span and the tasks in that job as child spans.

NOTE: Only once a job is completed will it's metrics and trace be ingested, meaning that as the jobs are running, data about it is not ingested.

Compatibility information

Databricks API version 2.1 is used for the APIs below :

  • List Job Runs
  • Get cluster info

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

License Consumption

If all the Feature Sets are enabled, the number of metric datapoints is :

7 * # of Jobs

If traces are configured to be ingested, the number of spans is :

# of Jobs * (1 + Tasks per Job)

Dynatrace
By Dynatrace
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Extension content

Content typeNumber of items included
metric metadata
7
document dashboard
1
dashboards
1

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 Excecution 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

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

V1.0.1

  • Initial version with updated Platform Dashboard link
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