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Cloudera Data Engineering
1.5.1
(Private Cloud)
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Filter topics
Data Engineering
▶︎
Top Tasks
Creating Sessions in Cloudera Data Engineering [Technical Preview]
Creating jobs
Automating data pipelines using Apache Airflow
▶︎
Monitoring resources using Grafana dashboards
Connecting to Grafana dashboards
Accessing Grafana dashboards
▶︎
Release Notes
What's new
Known issues
Fixed issues
Creating Virtual Cluster without installing Atlas in your CDP Base cluster
Compatibility for Cloudera Data Engineering and Runtime components
▶︎
Data Engineering Overview
Cloudera Data Engineering service
Cloudera Data Engineering resources
▶︎
Data Engineering Prerequisites
CDE Private Cloud prerequisites
▶︎
How To
▶︎
Enabling and disabling Cloudera Data Engineering
Adding a Cloudera Data Engineering service
Managing a CDE Service
Removing a Cloudera Data Engineering service
▶︎
Creating and managing virtual clusters
Creating virtual clusters
Initializing virtual clusters
Managing virtual clusters
Deleting virtual clusters
▶︎
Configuring Data Connectors
▶︎
Using Ozone storage with CDE
Adding Ozone data connector for Cloudera Data Engineering service
Deleting Ozone data connector for Cloudera Data Engineering service
▶︎
Backing up and Restoring Data Connectors
Backing up the data connector
Restoring the data connector
▶︎
Creating and managing CDE jobs
▶︎
Configure users to create jobs
Configuring LDAP users
Configuring service account key tab to the machine user
Creating jobs
CDE example jobs and sample data
▶︎
Using Apache Iceberg
Prerequisites and limitations for using Iceberg
▶︎
Accessing Iceberg tables
Editing a policy to access Iceberg files
Creating a policy to query an Iceberg table
Creating Virtual Cluster with Spark 3
Creating and running Spark 3.2.1 Iceberg jobs
Creating a new Iceberg table from Spark 3
Configuring Hive Metastore for Iceberg column changes
Importing and migrating Iceberg table in Spark 3
Importing and migrating Iceberg table format v2
Configuring Catalog
Loading data into an unpartitioned table
Querying data in an Iceberg table
Updating Iceberg table data
Iceberg library dependencies for Spark applications
Managing jobs
Running jobs
Scheduling Jobs
Creating ad-hoc jobs
Deleting Jobs
Best practices for building Apache Spark applications
▶︎
Creating and managing CDE Sessions
Creating Sessions in Cloudera Data Engineering [Technical Preview]
Interacting with a Session in Cloudera Data Engineering
▶︎
Orchestrating workflows and pipelines
Automating data pipelines using Apache Airflow
▶︎
Managing an Airflow Pipeline using the CDE CLI
▶︎
Creating a pipeline using the CDE CLI
Creating a basic Airflow pipeline using CDE CLI
Creating a pipeline with additional Airflow configurations using CDE CLI
Creating an Airflow pipeline with custom files using CDE CLI [technical preview]
▶︎
Updating a pipeline using the CDE CLI
Updating a DAG file using the CDE CLI
Updating the Airflow job configurations using the CDE CLI
Updating the Airflow file mounts using the CDE CLI [technical preview]
Deleting an Airflow pipeline using the CDE CLI
Using CDE with an external Apache Airflow deployment
▶︎
Creating a custom Airflow Python environment
▶︎
Creating a custom Airflow Python environment resource
Using credentials for custom pip repositories
CDE CLI custom Airflow Python environment flag reference
Uploading the resource to build the Python environment
Activating Python environment resources
Resetting to the default Airflow Python environment
Deleting Airflow Python environment resources
▶︎
Using CDE resources
▶︎
Using Python virtual environments
Creating a Python virtual environment resource
Associating a Python virtual environment with a CDE job
Updating Python virtual environment resources
Using Custom Spark Runtime Docker Images Via API/CLI
▶︎
Backing up and restoring CDE jobs
Backing up jobs on local storage
Restoring jobs
▶︎
Using spark-submit drop-in migration tool
▶︎
Using spark-submit drop-in migration tool
▶︎
Installing and using the migration tool
Downloading the cde-env tool
Installing the cde-env tool
▶︎
Configuring the cde-env tool
Prerequisites for setting up the cde-env tool
Adding profile for each user and creating the Credentials file
Using the cde-env tool
Run sample spark-submit command
▶︎
Using the migration tool in a docker container
▶︎
Configuring the cde-env tool
Prerequisites for setting up the cde-env tool
Adding profile for each user and creating the Credentials file
Run the migration tool in a docker container
Run sample spark-submit command inside the docker container
Known Issues and Limitations
▼
Monitoring and Troubleshooting CDE
Log files
Spark history server
▶︎
Monitoring resources using Grafana dashboards
Connecting to Grafana dashboards
Accessing Grafana dashboards
Downloading diagnostic bundles for CDE
▼
Monitoring metrics for Data Engineering on Private Cloud
▼
dex-app-instance-id-api deployment
cde_runtime_airflow_dag_check_duration_ms metric
cde_runtime_dbrequest_duration_ms metric
cde_runtime_jobInfo metric
cde_runtime_jobLivyUp metric
cde_runtime_jobStatus metric
cde_runtime_jobWorkspaceCreationDuration metric
cde_runtime_ldap_requests_duration_ms metric
cde_runtime_livy_requests_duration_ms metric
cde_runtime_monitors_check_run_statuses_ms metric
cde_runtime_notices_collection_duration_seconds metric
gin_request_body_total metric
gin_request_duration metric
gin_request_total metric
gin_request_uv_total metric
gin_response_body_total metric
gin_slow_request_total metric
gin_uri_request_total metric
go_gc_duration_seconds metric
go_goroutines metric
go_info metric
go_memstats_alloc_bytes metric
go_memstats_alloc_bytes_total metric
go_memstats_buck_hash_sys_bytes metric
go_memstats_frees_total metric
go_memstats_gc_sys_bytes metric
go_memstats_heap_alloc_bytes metric
go_memstats_heap_idle_bytes metric
go_memstats_heap_inuse_bytes metric
go_memstats_heap_objects metric
go_memstats_heap_released_bytes metric
go_memstats_heap_sys_bytes metric
go_memstats_last_gc_time_seconds metric
go_memstats_lookups_total metric
go_memstats_mallocs_total metric
go_memstats_mcache_inuse_bytes metric
go_memstats_mcache_sys_bytes metric
go_memstats_mspan_inuse_bytes metric
go_memstats_mspan_sys_bytes metric
go_memstats_next_gc_bytes metric
go_memstats_other_sys_bytes metric
go_memstats_stack_inuse_bytes metric
go_memstats_stack_sys_bytes metric
go_memstats_sys_bytes metric
go_threads metric
process_cpu_seconds_total metric
process_max_fds metric
process_open_fds metric
process_resident_memory_bytes metric
process_start_time_seconds metric
process_virtual_memory_bytes metric
process_virtual_memory_max_bytes metric
promhttp_metric_handler_requests_in_flight metric
promhttp_metric_handler_requests_total metric
▶︎
Accessing CDE using the API
Using the CDE API
Getting an access token
Using an access token in API calls
▶︎
Managing job resources using the API
Creating a resource
Deleting a resource
▶︎
Managing workload secrets using the API
Creating workload secrets
Listing workload secrets
Deleting workload secrets
Linking workload secrets with Spark Job definitions
Using the workload secret in the Spark application code
Creating a job using the API
Listing jobs using the API
Getting job info using the API
▶︎
Accessing CDE using the CLI
Using the CDE CLI
Downloading the CDE CLI
▶︎
Configuring the CLI client
Cloudera Data Engineering CLI configuration options
Creating and using multiple profile files
CDE CLI authentication
CDE CLI TLS configuration
CDE concepts
▶︎
Managing job resources
Creating a resource
Uploading content to a resource
Deleting a resource
Creating Docker credentials
Deleting Docker credentials
Deleting an Airflow DAG
▶︎
Managing jobs
Creating a Spark job using the CLI
Creating an Airflow job using the CLI
Listing jobs using the CLI
Submitting a Spark job using the CLI
Running raw Scala code
Submitting an Airflow job using the CLI
Running a Spark job using the CLI
Running a Airflow job using the CLI
▶︎
Scheduling Spark jobs
Enabling, disabling, and pausing scheduled jobs
Managing the status of scheduled job instances
▶︎
Managing workload secrets using the CLI
Creating workload secrets
Updating workload secrets
Linking a workload secrets
Using workload secrets
Listing workload secrets
Deleting workload secrets
▶︎
Managing Sessions in Cloudera Data Engineering using the CLI
Creating a Session using the CDE CLI [Technical Preview]
Interacting with a Session using the CDE CLI
Sessions example for the CDE CLI
Sessions command descriptions
CDE Spark job example
CDE CLI command reference
CDE CLI Spark flag reference
CDE CLI Airflow flag reference
CDE CLI list command syntax reference
Jobs REST API reference
Accessing CDE using the API
Accessing CDE using the CLI
Accessing Grafana dashboards
Accessing Grafana dashboards
Accessing Iceberg tables
Activating Python environment resources
Adding a Cloudera Data Engineering service
Adding Ozone data connector for Cloudera Data Engineering service
Adding profile for each user and creating the Credentials file
Adding profile for each user and creating the Credentials file
Associating a Python virtual environment with a CDE job
Automating data pipelines using Apache Airflow
Automating data pipelines using Apache Airflow
Backing up and restoring CDE jobs
Backing up and Restoring Data Connectors
Backing up jobs on local storage
Backing up the data connector
Best practices for building Apache Spark applications
CDE CLI Airflow flag reference
CDE CLI authentication
CDE CLI command reference
CDE CLI custom Airflow Python environment flag reference
CDE CLI list command syntax reference
CDE CLI Spark flag reference
CDE CLI TLS configuration
CDE concepts
CDE example jobs and sample data
CDE Private Cloud prerequisites
CDE Spark job example
cde_runtime_airflow_dag_check_duration_ms metric
cde_runtime_dbrequest_duration_ms metric
cde_runtime_jobInfo metric
cde_runtime_jobLivyUp metric
cde_runtime_jobStatus metric
cde_runtime_jobWorkspaceCreationDuration metric
cde_runtime_ldap_requests_duration_ms metric
cde_runtime_livy_requests_duration_ms metric
cde_runtime_monitors_check_run_statuses_ms metric
cde_runtime_notices_collection_duration_seconds metric
Cloudera Data Engineering CLI configuration options
Cloudera Data Engineering resources
Cloudera Data Engineering service
Compatibility for Cloudera Data Engineering and Runtime components
Configure users to create jobs
Configuring Catalog
Configuring Data Connectors
Configuring Hive Metastore for Iceberg column changes
Configuring LDAP users
Configuring service account key tab to the machine user
Configuring the cde-env tool
Configuring the cde-env tool
Configuring the CLI client
Connecting to Grafana dashboards
Connecting to Grafana dashboards
Creating a basic Airflow pipeline using CDE CLI
Creating a custom Airflow Python environment
Creating a custom Airflow Python environment resource
Creating a job using the API
Creating a new Iceberg table from Spark 3
Creating a pipeline using the CDE CLI
Creating a pipeline with additional Airflow configurations using CDE CLI
Creating a policy to query an Iceberg table
Creating a Python virtual environment resource
Creating a resource
Creating a resource
Creating a Session using the CDE CLI [Technical Preview]
Creating a Spark job using the CLI
Creating ad-hoc jobs
Creating an Airflow job using the CLI
Creating an Airflow pipeline with custom files using CDE CLI [technical preview]
Creating and managing CDE jobs
Creating and managing CDE Sessions
Creating and managing virtual clusters
Creating and running Spark 3.2.1 Iceberg jobs
Creating and using multiple profile files
Creating Docker credentials
Creating jobs
Creating jobs
Creating Sessions in Cloudera Data Engineering [Technical Preview]
Creating Sessions in Cloudera Data Engineering [Technical Preview]
Creating Virtual Cluster with Spark 3
Creating Virtual Cluster without installing Atlas in your CDP Base cluster
Creating virtual clusters
Creating workload secrets
Creating workload secrets
Data Engineering
Data Engineering Overview
Data Engineering Prerequisites
Deleting a resource
Deleting a resource
Deleting Airflow Python environment resources
Deleting an Airflow DAG
Deleting an Airflow pipeline using the CDE CLI
Deleting Docker credentials
Deleting Jobs
Deleting Ozone data connector for Cloudera Data Engineering service
Deleting virtual clusters
Deleting workload secrets
Deleting workload secrets
dex-app-instance-id-api deployment
Downloading diagnostic bundles for CDE
Downloading the CDE CLI
Downloading the cde-env tool
Editing a policy to access Iceberg files
Enabling and disabling Cloudera Data Engineering
Enabling, disabling, and pausing scheduled jobs
Fixed issues
Getting an access token
Getting job info using the API
gin_request_body_total metric
gin_request_duration metric
gin_request_total metric
gin_request_uv_total metric
gin_response_body_total metric
gin_slow_request_total metric
gin_uri_request_total metric
go_gc_duration_seconds metric
go_goroutines metric
go_info metric
go_memstats_alloc_bytes metric
go_memstats_alloc_bytes_total metric
go_memstats_buck_hash_sys_bytes metric
go_memstats_frees_total metric
go_memstats_gc_sys_bytes metric
go_memstats_heap_alloc_bytes metric
go_memstats_heap_idle_bytes metric
go_memstats_heap_inuse_bytes metric
go_memstats_heap_objects metric
go_memstats_heap_released_bytes metric
go_memstats_heap_sys_bytes metric
go_memstats_last_gc_time_seconds metric
go_memstats_lookups_total metric
go_memstats_mallocs_total metric
go_memstats_mcache_inuse_bytes metric
go_memstats_mcache_sys_bytes metric
go_memstats_mspan_inuse_bytes metric
go_memstats_mspan_sys_bytes metric
go_memstats_next_gc_bytes metric
go_memstats_other_sys_bytes metric
go_memstats_stack_inuse_bytes metric
go_memstats_stack_sys_bytes metric
go_memstats_sys_bytes metric
go_threads metric
Iceberg library dependencies for Spark applications
Importing and migrating Iceberg table format v2
Importing and migrating Iceberg table in Spark 3
Initializing virtual clusters
Installing and using the migration tool
Installing the cde-env tool
Interacting with a Session in Cloudera Data Engineering
Interacting with a Session using the CDE CLI
Known issues
Known Issues and Limitations
Linking a workload secrets
Linking workload secrets with Spark Job definitions
Listing jobs using the API
Listing jobs using the CLI
Listing workload secrets
Listing workload secrets
Loading data into an unpartitioned table
Log files
Managing a CDE Service
Managing an Airflow Pipeline using the CDE CLI
Managing job resources
Managing job resources using the API
Managing jobs
Managing jobs
Managing Sessions in Cloudera Data Engineering using the CLI
Managing the status of scheduled job instances
Managing virtual clusters
Managing workload secrets using the API
Managing workload secrets using the CLI
Monitoring and Troubleshooting CDE
Monitoring metrics for Data Engineering on Private Cloud
Monitoring resources using Grafana dashboards
Monitoring resources using Grafana dashboards
Orchestrating workflows and pipelines
Prerequisites and limitations for using Iceberg
Prerequisites for setting up the cde-env tool
Prerequisites for setting up the cde-env tool
process_cpu_seconds_total metric
process_max_fds metric
process_open_fds metric
process_resident_memory_bytes metric
process_start_time_seconds metric
process_virtual_memory_bytes metric
process_virtual_memory_max_bytes metric
promhttp_metric_handler_requests_in_flight metric
promhttp_metric_handler_requests_total metric
Querying data in an Iceberg table
Release Notes
Removing a Cloudera Data Engineering service
Resetting to the default Airflow Python environment
Restoring jobs
Restoring the data connector
Run sample spark-submit command
Run sample spark-submit command inside the docker container
Run the migration tool in a docker container
Running a Airflow job using the CLI
Running a Spark job using the CLI
Running jobs
Running raw Scala code
Scheduling Jobs
Scheduling Spark jobs
Sessions command descriptions
Sessions example for the CDE CLI
Spark history server
Submitting a Spark job using the CLI
Submitting an Airflow job using the CLI
Top Tasks
Updating a DAG file using the CDE CLI
Updating a pipeline using the CDE CLI
Updating Iceberg table data
Updating Python virtual environment resources
Updating the Airflow file mounts using the CDE CLI [technical preview]
Updating the Airflow job configurations using the CDE CLI
Updating workload secrets
Uploading content to a resource
Uploading the resource to build the Python environment
Using an access token in API calls
Using Apache Iceberg
Using CDE resources
Using CDE with an external Apache Airflow deployment
Using credentials for custom pip repositories
Using Custom Spark Runtime Docker Images Via API/CLI
Using Ozone storage with CDE
Using Python virtual environments
Using spark-submit drop-in migration tool
Using spark-submit drop-in migration tool
Using the CDE API
Using the CDE CLI
Using the cde-env tool
Using the migration tool in a docker container
Using the workload secret in the Spark application code
Using workload secrets
What's new
«
dex-app-instance-id-api deployment
Log files
Spark history server
▶︎
Monitoring resources using Grafana dashboards
Connecting to Grafana dashboards
Accessing Grafana dashboards
Downloading diagnostic bundles for CDE
▼
Monitoring metrics for Data Engineering on Private Cloud
▼
dex-app-instance-id-api deployment
cde_runtime_airflow_dag_check_duration_ms metric
cde_runtime_dbrequest_duration_ms metric
cde_runtime_jobInfo metric
cde_runtime_jobLivyUp metric
cde_runtime_jobStatus metric
cde_runtime_jobWorkspaceCreationDuration metric
cde_runtime_ldap_requests_duration_ms metric
cde_runtime_livy_requests_duration_ms metric
cde_runtime_monitors_check_run_statuses_ms metric
cde_runtime_notices_collection_duration_seconds metric
gin_request_body_total metric
gin_request_duration metric
gin_request_total metric
gin_request_uv_total metric
gin_response_body_total metric
gin_slow_request_total metric
gin_uri_request_total metric
go_gc_duration_seconds metric
go_goroutines metric
go_info metric
go_memstats_alloc_bytes metric
go_memstats_alloc_bytes_total metric
go_memstats_buck_hash_sys_bytes metric
go_memstats_frees_total metric
go_memstats_gc_sys_bytes metric
go_memstats_heap_alloc_bytes metric
go_memstats_heap_idle_bytes metric
go_memstats_heap_inuse_bytes metric
go_memstats_heap_objects metric
go_memstats_heap_released_bytes metric
go_memstats_heap_sys_bytes metric
go_memstats_last_gc_time_seconds metric
go_memstats_lookups_total metric
go_memstats_mallocs_total metric
go_memstats_mcache_inuse_bytes metric
go_memstats_mcache_sys_bytes metric
go_memstats_mspan_inuse_bytes metric
go_memstats_mspan_sys_bytes metric
go_memstats_next_gc_bytes metric
go_memstats_other_sys_bytes metric
go_memstats_stack_inuse_bytes metric
go_memstats_stack_sys_bytes metric
go_memstats_sys_bytes metric
go_threads metric
process_cpu_seconds_total metric
process_max_fds metric
process_open_fds metric
process_resident_memory_bytes metric
process_start_time_seconds metric
process_virtual_memory_bytes metric
process_virtual_memory_max_bytes metric
promhttp_metric_handler_requests_in_flight metric
promhttp_metric_handler_requests_total metric
»
Monitoring and Troubleshooting CDE
dex-app-
instance-id
-api deployment
This section covers metrics for dex-app-<instance-id>-api.
cde_runtime_airflow_dag_check_duration_ms metric
CDP Private Cloud Data Service metrics for cde_runtime_airflow_dag_check_duration_ms.
cde_runtime_dbrequest_duration_ms metric
CDP Private Cloud Data Service metrics for cde_runtime_dbrequest_duration_ms.
cde_runtime_jobInfo metric
CDP Private Cloud Data Service metrics for cde_runtime_jobInfo.
cde_runtime_jobLivyUp metric
CDP Private Cloud Data Service metrics for cde_runtime_jobLivyUp.
cde_runtime_jobStatus metric
CDP Private Cloud Data Service metrics for cde_runtime_jobStatus.
cde_runtime_jobWorkspaceCreationDuration metric
CDP Private Cloud Data Service metrics for cde_runtime_jobWorkspaceCreationDuration.
cde_runtime_ldap_requests_duration_ms metric
CDP Private Cloud Data Service metrics for cde_runtime_ldap_requests_duration_ms.
cde_runtime_livy_requests_duration_ms metric
CDP Private Cloud Data Service metrics for cde_runtime_livy_requests_duration_ms.
cde_runtime_monitors_check_run_statuses_ms metric
CDP Private Cloud Data Service metrics for cde_runtime_monitors_check_run_statuses_ms.
cde_runtime_notices_collection_duration_seconds metric
CDP Private Cloud Data Service metrics for cde_runtime_notices_collection_duration_seconds.
gin_request_body_total metric
CDP Private Cloud Data Service metrics for gin_request_body_total.
gin_request_duration metric
CDP Private Cloud Data Service metrics for gin_request_duration.
gin_request_total metric
CDP Private Cloud Data Service metrics for gin_request_total.
gin_request_uv_total metric
CDP Private Cloud Data Service metrics for gin_request_uv_total.
gin_response_body_total metric
CDP Private Cloud Data Service metrics for gin_response_body_total.
gin_slow_request_total metric
CDP Private Cloud Data Service metrics for gin_slow_request_total.
gin_uri_request_total metric
CDP Private Cloud Data Service metrics for gin_uri_request_total.
go_gc_duration_seconds metric
CDP Private Cloud Data Service metrics for go_gc_duration_seconds.
go_goroutines metric
CDP Private Cloud Data Service metrics for go_goroutines.
go_info metric
CDP Private Cloud Data Service metrics for go_info.
go_memstats_alloc_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_alloc_bytes.
go_memstats_alloc_bytes_total metric
CDP Private Cloud Data Service metrics for go_memstats_alloc_bytes_total.
go_memstats_buck_hash_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_buck_hash_sys_bytes.
go_memstats_frees_total metric
CDP Private Cloud Data Service metrics for go_memstats_frees_total.
go_memstats_gc_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_gc_sys_bytes.
go_memstats_heap_alloc_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_heap_alloc_bytes.
go_memstats_heap_idle_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_heap_idle_bytes.
go_memstats_heap_inuse_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_heap_inuse_bytes.
go_memstats_heap_objects metric
CDP Private Cloud Data Service metrics for go_memstats_heap_objects.
go_memstats_heap_released_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_heap_released_bytes.
go_memstats_heap_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_heap_sys_bytes.
go_memstats_last_gc_time_seconds metric
CDP Private Cloud Data Service metrics for go_memstats_last_gc_time_seconds.
go_memstats_lookups_total metric
CDP Private Cloud Data Service metrics for go_memstats_lookups_total.
go_memstats_mallocs_total metric
CDP Private Cloud Data Service metrics for go_memstats_mallocs_total.
go_memstats_mcache_inuse_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_mcache_inuse_bytes.
go_memstats_mcache_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_mcache_sys_bytes.
go_memstats_mspan_inuse_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_mspan_inuse_bytes.
go_memstats_mspan_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_mspan_sys_bytes.
go_memstats_next_gc_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_next_gc_bytes.
go_memstats_other_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_other_sys_bytes.
go_memstats_stack_inuse_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_stack_inuse_bytes.
go_memstats_stack_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_stack_sys_bytes.
go_memstats_sys_bytes metric
CDP Private Cloud Data Service metrics for go_memstats_sys_bytes.
go_threads metric
CDP Private Cloud Data Service metrics for go_threads.
process_cpu_seconds_total metric
CDP Private Cloud Data Service metrics for process_cpu_seconds_total.
process_max_fds metric
CDP Private Cloud Data Service metrics for process_max_fds.
process_open_fds metric
CDP Private Cloud Data Service metrics for process_open_fds.
process_resident_memory_bytes metric
CDP Private Cloud Data Service metrics for process_resident_memory_bytes.
process_start_time_seconds metric
CDP Private Cloud Data Service metrics for process_start_time_seconds.
process_virtual_memory_bytes metric
CDP Private Cloud Data Service metrics for process_virtual_memory_bytes.
process_virtual_memory_max_bytes metric
CDP Private Cloud Data Service metrics for process_virtual_memory_max_bytes.
promhttp_metric_handler_requests_in_flight metric
CDP Private Cloud Data Service metrics for promhttp_metric_handler_requests_in_flight.
promhttp_metric_handler_requests_total metric
CDP Private Cloud Data Service metrics for promhttp_metric_handler_requests_total.
Parent topic:
Monitoring metrics for Data Engineering on Private Cloud
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