User GuidesAPI ReferenceRelease NotesEnrichment APIs
Doc HomeSupportLog In

Logging in Cloud-Native Deployments

Use, locations, and configuration options for logs produced by Tamr Core and its microservices and by cloud platform services.

Tamr Core Logs

Tamr Core saves logs in the  <tamr_home_directory>/tamr/logs directory of the Tamr Core installation. Tamr Core logs are created for each of the microservices and the log levels of each can be configured by setting configuration variables with the unify-admin utility, see Configuring Tamr Core. For example the log level for "unify", the microservice for the front-end user interface of Tamr Core, can be adjusted using TAMR_UNIFY_LOG_LEVEL. By default, all log levels are set to INFO

Each microservice generates a <microservice>.log file and a <microservice>.request.log file. The <microservice>.log files contain broad information about the microservice, while the <microservice>.request.log tracks the API requests made to that microservice (including API requests generated by user actions in the UI).

Additional logs can also be generated depending on the microservice. If generated, the <microservice>.error.log contains ERROR level logs and <microservice>.out.log contains the standard output.

DMS Logs

Data Movement Service logs can be found in the $TAMR_UNIFY_HOME/tamr/logs directory with the format dms-*.log.

Tip: The dms-all.out.log file is a good starting point when reviewing logs.

To verify that the Data Movement Service has started successfully, after the service has started wait up to 30 seconds or check the logs for a message similar to this example:

INFO  com.tamr.apps.distro.AppsService - Framework application ready

You can also submit a request to the /api/dms/service/health API endpoint and look for a status of 200 to be returned.

Cloud Platform Service Logs

Cloud Platform

Service

References

AWS

Amazon EMR (Spark and Hbase)
Amazon Elasticsearch Service (Elasticsearch)
Amazon RDS (PostgreSQL)

AWS documentation

Deploying Tamr Core on AWS

GCP

Dataproc (Spark)
Bigtable (Hbase)
Cloud SQL (PostgreSQL)

GCP documentation

Deploying Tamr Core on Google Cloud Platform

Azure

Azure HDInsight (Hbase)
Azure Databricks (Spark)

Azure documentation

Deploying Tamr Core on Azure

See Also


Did this page help you?