vania-janet/multiturn-rag-retrieval-data huggingface dataset:
Segment By Service instance 







 Tuples fetched count 

Tuples fetched count



Table 28: Tuples fetched count metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_fetched_count 
 Metric Type gauge 
 Value Type none 
 Segment By Service instance 







 Tuples fetched rate 

Tuples fetched rate



Table 29: Tuples fetched rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_fetched_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Tuples inserted count 

Tuples inserted count



Table 30: Tuples inserted count metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_inserted_count 
 Metric Type gauge 
 Value Type none 
 Segment By Service instance 







 Tuples inserted rate 

Tuples inserted rate



Table 31: Tuples inserted rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_inserted_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Tuples returned rate 

Tuples returned rate



Table 32: Tuples returned rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_returned_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Tuples updated count 

Tuples updated count



Table 33: Tuples updated count metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_updated_count 
 Metric Type gauge 
 Value Type none 
 Segment By Service instance 







 Tuples updated rate 

Tuples updated rate



Table 34: Tuples updated rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_tuples_updated_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Used CPU for an instance 

How much CPU is used as a percentage of total CPU available.



Table 35. Used CPU for an instance metric metadata

 Metadata Description 

 Metric Name ibm_databases-for-enterprisedb_cpu_used_percent 
 Metric Type gauge
[IO utilization as a percent - 30 minute average](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_disk_io_utilization_percent_average_30m) 
 [IO utilization as a percent - 60 minute average](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_disk_io_utilization_percent_average_60m) 
 [IOPS read & write total count for an instance](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_disk_iops_read_write_total) 
 [Max allowed memory for an instance](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_memory_limit_bytes) 
 [Oplog gigabyte per hour](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_oplog_gb_per_hour) 
 [Oplog used bytes](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_oplog_used_bytes) 
 [Oplog used bytes percent of total](https://cloud.ibm.com/docs/databases-for-mongodb?topic=databases-for-mongodb-monitoringibm_databases_for_mongodb_oplog_used_bytes_percent)
[Failed topic MQPUT/MQPUT1 count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_failed_topic_mqput_mqput1_total) 
 [Got non-persistent messages - byte count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_non_persistent_message_destructive_get_total) 
 [Got persistent messages - byte count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_persistent_message_get_bytes_total) 
 [Interval total MQPUT/MQPUT1 byte count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_mqput_mqput1_bytes_total) 
 [Interval total MQPUT/MQPUT1 count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_mqput_mqput1_total) 
 [Interval total destructive get](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_destructive_get_total) 
 [Interval total destructive get - byte count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_destructive_get_bytes_total) 
 [Interval total topic bytes put](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_topic_put_bytes_total)
[Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) 
 Organization: view metrics ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/5bdb37c0149145723c5437e8176651928565e722/vmwaresolutions/includes/icons/checkmark-icon.svg) !
[Successful archive rate](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_successful_archive_rate) 
 [Temporary files size in bytes](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_temp_bytes_count) 
 [The total number of PostgreSQL connections being used.](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_total_connections) 
 [Total disk space for an instance.](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_disk_total_bytes) 
 [Transaction commit count](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_transaction_commit_count) 
 [Transaction commit rate](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_transaction_commit_rate) 
 [Transaction rollback count](https://cloud.ibm.com/docs/databases-for-postgresql?topic=databases-for-postgresql-monitoringibm_databases_for_postgresql_transaction_rollback_count)
[Dashboard icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/prometheus//images/dashboards.png), and select Add Dashboard![Add dashboard icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/prometheus//images/add.png). The Create a New Dashboard page opens.
3. Select PromQL.

![Dashboard page](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/dashboard-page.png)
4. In the Query section, delete the default query and enter container, for example. The list of available metrics is displayed.

![Query](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/query1.png)
5. Choose a metric and click Run Query.

![Query](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/query.png)

You can see a metric that is collected by using the Prometheus remote write feature.

![Metric](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/metric.png)
IO utilization in percent 15-minute average 

How much disk I/O has been used over 15 minutes as a percentage of total disk I/O available.



Table 5. IO utilization in percent 15 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_disk_io_utilization_percent_average_15m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IO utilization in percent 30-minute average 

Disk I/O used over 30 minutes as a percentage of total disk I/O available.



Table 6. IO utilization in percent 30 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_disk_io_utilization_percent_average_30m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IO utilization in percent 60-minute average 

Disk I/O used over 60 minutes as a percentage of total disk I/O available.



Table 7. IO utilization in percent 60 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_disk_io_utilization_percent_average_60m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IOPS read and write total count for an instance 

Input/output operations per second your deployment is performing.



Table 8. IOPS read & write total count for an instance metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_disk_iops_read_write_total 
 Metric Type gauge 
 Value Type count 
 Segment By Service instance 







 Max allowed memory for an instance 

The maximum amount of memory available to your deployment.



Table 9. Max allowed memory for an instance metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_memory_limit_bytes 
 Metric Type gauge 
 Value Type byte 
 Segment By Service instance 







 Total disk space for an instance 

Represents the total amount of disk available to your deployment.



Table 10. Total disk space for an instance metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_etcd_disk_total_bytes 
 Metric Type gauge 
 Value Type byte
[Launch the Sysdig web UI](https://cloud.ibm.com/docs/Monitoring-with-Sysdig?topic=Sysdig-launch).
2. Select DASHBOARDS.
3. In the Default Dashboards section, expand IBM.
4. Choose the Queue managers dashboard from the list.



Next, change the scope or make a copy of the Default dashboard to monitor an IBM MQ on Cloud instance.







 Where to look for IBM MQ on Cloud metrics 

The [region](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-mqoc_qm_locations) in which IBM MQ on Cloud metrics are available corresponds to the region of the queue manger that generated the metrics.

The following table shows the location of IBM MQ on Cloud metrics.



Table 1. Location of IBM MQ on Cloud metrics

 Region for your MQ on Cloud instance Location of IBM MQ on Cloud metrics 

 us-south Dallas (us-south) 
 us-east Washington DC (us-east) 
 eu-de Frankfurt (eu-de) 
 eu-gb London (eu-gb) 







 Metrics dictionary for queue managers 



Table 1: Metrics Available by Plan Names

 Metric Name 

 [Alter durable subscription count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_durable_subscription_alter_total) 
 [Commit count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_commit_total) 
 [Create durable subscription count](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-monitor_sysdigibm_mq_qmgr_durable_subscription_create_total)
IBM Cloud Monitoring is available for deployments in every region. Deployments in Multi-zone Regions (MZRs) - eu-gb, eu-de, us-east, us-south, jp-tok, au-syd - have their metrics in the corresponding region.

If you have deployments that are in Single-zone Region (SZR) che01 then your logs are forwarded to a IBM Cloud Monitoring instance in another region. You need to provision monitoring instances in the region where your metrics are forwarded to. Metrics for deployments in che01 go to jp-tok.





 Available Metrics 



Table 1. Available Metrics Reference Table

 Metric Name 

 [IO utilization in percent 5 minute average](https://cloud.ibm.com/docs/databases-for-redis?topic=databases-for-redis-monitoringibm_databases_for_redis_disk_io_utilization_percent_average_5m) 
 [IO utilization in percent 15 minute average](https://cloud.ibm.com/docs/databases-for-redis?topic=databases-for-redis-monitoringibm_databases_for_redis_disk_io_utilization_percent_average_15m) 
 [IO utilization in percent 30 minute average](https://cloud.ibm.com/docs/databases-for-redis?topic=databases-for-redis-monitoringibm_databases_for_redis_disk_io_utilization_percent_average_30m) 
 [IO utilization in percent 60 minute average](https://cloud.ibm.com/docs/databases-for-redis?topic=databases-for-redis-monitoringibm_databases_for_redis_disk_io_utilization_percent_average_60m) 
 [IOPS read & write total count for an instance.](https://cloud.ibm.com/docs/databases-for-redis?topic=databases-for-redis-monitoringibm_databases_for_redis_disk_iops_read_write_total) 
 [Max allowed memory for an instance.]
2,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections CLOSING"
},
{
"datapoints":

280,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections ESTABLISHED"
},
{
"datapoints":

7,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections FIN_WAIT1"
},
{
"datapoints":

0,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections FIN_WAIT2"
},
{
"datapoints":

0,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections LAST_ACK"
},
{
"datapoints":

4,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections LISTEN"
},
{
"datapoints":

1,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections SYN_RECV"
},
{
"datapoints":

0,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections SYN_SENT"
},
{
"datapoints":

28,
1512989170
]
],
"target": "myclustername.myloadbalancername Connections TIME_WAIT"
}
]
}
Show more
Metric name ibm_is_instance_volume_read_bps 
 Metric type gauge 
 Value type byte 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume read requests I/O operations per second 

Volume read requests per second.



Table 15: Volume read I/O operations per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_read_iops 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume read latency 

Read latency from volume, in microseconds



Table 16: Volume read latency metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_read_latency_microseconds 
 Metric type gauge 
 Value type second 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume total I/O operations per second 

I/O requests per second.



Table 17: Volume total I/O operations per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_total_iops 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume write bytes per second 

Write requests in bytes per second.



Table 18: Volume write bytes per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_write_bps 
 Metric type gauge 
 Value type byte 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 





 Volume write I/O operations per second 

Write requests per second.



Table 19: Volume write I/O operations per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_write_iops 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume write latency 

Write latency from volume, in microseconds
[Disk write latency mean](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases_for_enterprisedb_disk_write_latency_mean) 
 [IO utilization in percent 5 minute average](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_io_utilization_percent_average_5m) 
 [IO utilization in percent 15 minute average](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_io_utilization_percent_average_15m) 
 [IO utilization in percent 30 minute average](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_io_utilization_percent_average_30m) 
 [IO utilization in percent 60 minute average](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_io_utilization_percent_average_60m) 
 [IOPS read & write total count for an instance.](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_iops_read_write_total) 
 [Max allowed memory for an instance.](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_memory_limit_bytes) 
 [Read replica replication lag.](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_read_replica_replication_lag_bytes)
Segment by Application load balancer appliance metrics and Application load balancer listener metrics 







 Request Count 

The request count is the total number of HTTP/HTTPS requests that are sent by the load balancer to the back-end servers per minute. This metric is only available for HTTP and HTTPS listeners.



Table 4: Application load balancer request count metric metadata

 Metadata Description 

 Metric name ibm_is_load_balancer_request_count 
 Metric type gauge 
 Value type none 
 Segment by Application load balancer appliance metrics and Application load balancer listener metrics 







 Request Latency 

Request latency is the average of the response time of the last 1024 requests as seen by the load balancer for a given HTTP/HTTPS listener. This metric requires at least 1024 responses to be received from the back-end for a given listener for an accurate value to be reported. This metric is only available for HTTP and HTTPS listeners.



Table 5: Application load balancer request latency metric metadata

 Metadata Description 

 Metric name ibm_is_load_balancer_request_latency 
 Metric type gauge 
 Value type milliseconds 
 Segment by Application load balancer appliance metrics and Application load balancer listener metrics 







 HTTP 2xx response code count 

The HTTP 2xx response code count is the count of all HTTP response codes in the 200-299 range that is received from the back-end per minute. This metric is only available for HTTP and HTTPS listeners.



Table 6: Application load balancer HTTP 2xx response count metric metadata

 Metadata Description 

 Metric name ibm_is_load_balancer_backend_http_2xx 
 Metric type gauge 
 Value type none 
 Segment by Application load balancer appliance metrics and Application load balancer listener metrics 







 HTTP 3xx response code count 

The HTTP 3xx response code count is the count of all HTTP response codes in the 300-399 range received from the back-end per minute. This metric is only available for HTTP and HTTPS listeners.



Table 7: Application load balancer HTTP 3xx response count metric metadata

 Metadata Description 

 Metric name ibm_is_load_balancer_backend_http_3xx 
 Metric type gauge
[Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) 
 Organization: view metrics ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) ![Available](https://cloud.ibm.com/docs-content/v1/content/11f96f96f8f4b60cf6f3fa4d904856a2c4528bc2/icons/checkmark-icon.svg) 
 Provider Network: View !
Metric Name ibm_databases_for_elasticsearch_disk_read_latency_mean 
 Metric Type gauge 
 Value Type count 
 Segment By Service instance 







 Disk write latency mean 

Disk write latency mean



Table 4: Disk write latency mean metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_elasticsearch_disk_write_latency_mean 
 Metric Type gauge 
 Value Type count 
 Segment By Service instance 







 GC Percentage 

Percentage of time the Elasticsearch JVM spends on garbage collection over 15 minutes.



Table 5. Cluster status metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_elasticsearch_garbage_collection_percent_average_15m 
 Metric Type gauge 
 Value Type count 
 Segment By Service instance 







 IO usage in percent 15-minute average 

Disk I/O usage over 15 minutes as a percentage of total disk I/O available.



Table 6. IO utilization in percent 15 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_elasticsearch_disk_io_utilization_percent_average_15m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IO usage in percent 30-minute average 

Disk I/O usage over 30 minutes as a percentage of total disk I/O available.



Table 7. IO utilization in percent 30 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_elasticsearch_disk_io_utilization_percent_average_30m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IO usage in percent 5-minute average 

Disk I/O usage over 5 minutes as a percentage of total disk I/O available.



Table 8. IO utilization in percent 5 minute average metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_elasticsearch_disk_io_utilization_percent_average_5m 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 IO usage in percent 60 minute average 

Disk I/O usage over 60 minutes as a percentage of total disk I/O available.



Table 9. IO utilization in percent 60 minute average metric metadata