~~EditAttach~~Printable

r5 - 2018-07-18 - 06:55:06 - RichardWattsYou are here: TWiki >

Deployment Web > DeploymentMonitoring > CLM605MXBeans > Common605Beans

Common Managed Beans

Authors: Richard Watts, Vishwanath Ramaswamy, Vaughn Rokosz
Build basis: CLM 6.0.5

Page contents

This page is under construction

Introduction

The Common Managed Beans that were introduced in 6.0.5. They are grouped into four categories, Cluster, Performance, Server Health and Usage Metrics. From there, they are further categorized by background task.

Table 1 - Categories

Category	Description	Background Tasks
Usage Metrics	The Usage Metrics category	CommonMetricsCollectorTask ProjectMetricsCollectorTask LicenseMetricsCollectorTask
Cluster Metrics	Rational Team Concert supports being deployed clustered. Clustered Metrics are only available in a CLM Instance where you are using clustering. If you enable cluster metrics without deploying clustering, you will not see any clustered related values.	CommonMetricsCollectorTask ClusterMetricsTask
Performance Metrics	The Performance metrics category covers collecting metrics related to overall system performance from users, services, data or database loads.	MetricsCollectorTask HighFrequencyMetricsNodeScopedTask FullTextIndexDataCollectorTask IndexDataCollectorTask ItemCountMetricsCollectorTask SQLActivityMetricsTask
Server Health Metrics	Server Health Metrics covers important mbeans that ensure your system is up and running (diagnostics) and data integrity (online verify).	DiagnosticsMetricsTask MetricsCollectorTask OnlineVerifyMetricsTask

Background tasks are the mechanism we use to populate the managed beans. These are enabled in Advanced properties. Changing the interval of a background task will only go into effect after the next interval or when the application is restarted.

Table 2 - Background Tasks

Background Task	Description	Managed Beans
LicenseMetricsCollectorTask		Floating license consumption statistics – Concurrent use Floating license consumption statistics – Concurrent use Floating license consumption statistics – License checkout time Floating license consumption statistics – License Denials Token License consumption statistics – Concurrent use Token License consumption statistics – License Denials Compatible Client Login Details – Number of logins
CommonMetricsCollectorTask		Cluster Member Information
ClusterMetricsTask		MQTT Endpoint Metrics MQTT Memory Metrics MQTT Store Metrics MQTT Topic Metrics Jazz MQTT Service – Messages Received Count Jazz MQTT Service – Messages Received Frequency (msgs/sec) Jazz MQTT Service – Messages Received Reset Counter Jazz MQTT Service – Messages Sent Count Jazz MQTT Service – Messages Sent Frequency (msgs/sec) Jazz MQTT Service – Messages Sent Reset Counter Jazz MQTT Service – Messages Sent Queued Counter Jazz MQTT Service – Messages Received Queue Exhausted Counter Jazz MQTT Service – Published Messages Lost Count Jazz MQTT Service – Message Processing Time Jazz MQTT Service – Message Sent Result - Success Jazz MQTT Service – Message Sent Result - Failure Jazz MQTT Service – Message processed on main thread Jazz MQTT Service – Received Messages - Queue Size Jazz MQTT Service – Received Messages – thread pool size Jazz MQTT Service – Failed connections to broker Jazz MQTT Service – Lost connections to broker Distributed Data Microservice – Key Size Distributed Data Microservice – Added Value Size Distributed Data Microservice – Number of Elements in Map Distributed Data Microservice – Bytes transferred (in kb) Distributed Data Microservice – Elapsed time (in ms)
MetricsCollectorTask		Active Services Asynchronous Tasks Elapsed Time Asynchronous Tasks Queued Count Expensive Scenario Details JDBC Connection Pool Active Connections JDBC Connection Pool Queue Length JDBC Connection Pool Usage Percentage JDBC Connection Pool Wait Time in milliseconds RDB Mediator Connection Pool Active Connections RDB Mediator Connection Pool Queue Length RDB Mediator Pool Usage Percentage RDB Mediator Pool Wait Time in milliseconds Local configuration management cache statistics – Cache hit ratio Local configuration management cache statistics – Entry added to cache Local configuration management cache statistics – Entry found in cache Local configuration management cache statistics – Entry not found in cache Local configuration management cache statistics – Entry removed from cache Local configuration management cache statistics – Entry replaced in cache Local configuration management cache statistics – Entry garbage collected from cache Local configuration management cache statistics – Time for computing a value in ms Local configuration management service statistics – Elapsed time in milliseconds Local configuration management service statistics – Creation time in milliseconds Local configuration management service statistics – Rows created in in a new stream Transaction cache statistics – Number of hits Transaction cache statistics – Number of misses Transaction cache statistics – Number of invalidations Transaction cache statistics – Number of entries added Transaction cache statistics – Number of entries auto updated Resource Intensive Scenarios – Elapsed time in milliseconds Resource Intensive Scenarios – Summary Elapsed time in milliseconds Web Service Statistics – Elapsed time in seconds Web Service Statistics – Bytes sent to client Web Service Statistics – Bytes received from client Web Services Statistics Summary Over Collection Intervals
HighFrequencyMetricsNodeScopedTask		Active Services Summary
FullTextIndexDataCollectorTask		Full Text Index Information
IndexDataCollectorTask		JFS Index Information
ItemCountMetricsCollectorTask		Item Count Details
SQLActivityMetricsTask		SQL Activity SQL Activity Summary
DiagnosticsMetricsTask		Diagnostics
MetricsCollectorTask		Log Events Server Information
OnlineVerifyMetricsTask		Repotools Verify Information
CommonMetricsCollectorTask		Contributor Information Project Area Summary Information
ProjectMetricsCollectorTask		Project Area Information Work Item Information

Table 3 - Managed Beans

MBean Name	Object Name	Description	Frequency
Distributed Data Microservice – Elapsed time (in ms)	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, Distributed Persistence Layer,facet=Elapsed time (in ms),counterName=*	This facet reports the times it takes for the data transfers to and from the persistence layer.	15m
Active Services	com.ibm.team.foundation.activeservices:name=<< contextRoot>>, type=activeServicesMetrics, serviceName=*	This is all the active services currently running in the server. Each service provides information like service name, requested user, start time and duration, and start time. This is useful to understand the standard patterns of low level service activity in a production system. Helps to understand the unique set of users currently working in the system.	15m
Active Services Summary	com.ibm.team.foundation.activeservices:name=<< contextRoot>>, type=activeServicesSummaryMetrics	This is a summary of the total count of active services running in the system. This provides information like total count, CPU ratio and services that have exceeded duration thresholds. This is useful to understand the active services that are long running. Helps also to understand if the system specifications are adequate to meet the user load.	15m
Contributor Information	com.ibm.team.foundation.contributors:name=<< contextRoot>>, type=contributorMetrics	This publishes the number of active and archived users in the repository. This is useful to understand the active registered users.	60m
Diagnostics	com.ibm.team.foundation.diagnostic:name=<< contextRoot>>, type=diagnosticMetrics, testId=*	This provides the results of the server diagnostics which by default runs every hour. This is useful to track the status of the periodic execution of server diagnostics.	70m
Log Events	com.ibm.team.foundation.logevents:name=<< contextRoot>>, type=logEventDetailsMetrics, errorNameAndId=*	This provides all the errors and warnings from the log files and for each log entry provides additional contextual information like userd id, active configuration, servlet request URL etc. This is useful to understand error log entries occurring in the system when other aspects of the system are misbehaving. This provides a maximum of 1000 entries during the collection interval.	15m
Full Text Index Information	com.ibm.team.foundation.fulltextindexing:name=<< contextRoot>>, type=richTextIndexDataMetrics	This provides the index size and index location information for the full text lucene index used by RTC and RQM. This is useful to track the size of the lucene index.	60m
JFS Index Information	com.ibm.team.foundation.jfsindexing:name=<< contextRoot>>, type=jfsIndexDataMetrics, indexname=*	This provides the index size and index queue information for the rdf and text index used by DNG and DM. Index information is provided for RDF Live, RDF History, Text Live and Text History indices. This is useful to track the size of the index and indirectly help with determining the optimal RAM and JVM Heap memory for the system.	60m
Item Count Details	com.ibm.team.foundation.itemcounts:name=<< contextRoot>>, type=itemCountMetrics,type Name=*	This provides information about each type of item in the repository and their counts in terms of number of states and the overall size of these items in relation to the total size. This is useful to understand the data growth in the system and also the breakdown between the different types of items. Sometimes items like attachments or build results may be growing at an alarming rate and tracking this metric can explain the reason for this growth. Added to this, increase in DB size during a period can also be explained by the items that were added during this period.	1 week
Repotools Verify Information	com.ibm.team.foundation.datavalidation:name=<< contextRoot>>, type=onlineVerifyMetrics, componentId=*	This provides the results of the repository verifiers, which are used in the verify repotools infrastructure. This is useful to keep an eye on the data integrity of the production database. This is useful to track the status of the periodic execution of data verification rules against the repository.	1 week
Project Area Information	com.ibm.team.foundation.projectarea:name=<< contextRoot>>, type=projectMetrics, projectNameAndId=*	This publishes the number of contributor, team, development lines, work items and attachments for each project area in the repository. Additionally it indicates if the project is archived or not. You can monitor these and also setup alerts if the usage patterns are not within normal parameters. In future it will contain an attribute for the total size of the project area in the repository. This will help determine if the project warrants its own server and can be a candidate for server split. It also provides if the project area has be opted in and provides configuration management metrics like number of component, streams, baselines etc.	1 week
Project Area Summary Information	com.ibm.team.foundation.projectarea:name=<< contextRoot>>, type=projectSummaryMetrics	This publishes the number of projects in the repository and if they are archived or not.	60m
Expensive Scenario Details	com.ibm.team.foundation.scenarios:name=<< contextRoot>>, type=expensiveScenarioDetailsMetrics, scenarioNameAndId=*	This will publish details about the active and completed resource intensive scenarios in the system. This is useful to understand how the resource intensive scenarios are performing and understand what are the active scenarios at any given point in time. It also gives details about the user who requested the scenario.	15m
Server Information	com.ibm.team.foundation.server:name=<< contextRoot>>, type=serverMetrics	This publishes the server health information including memory usage, DB ping time and status on services and DB connections. This is useful to understand how the server is performing. Most important attribute is the dbPingTime. If the latency between server and DB gets worse it will impact the almost every use case in the product.	15m
SQL Activity	com.ibm.team.foundation.sqlactivity:name=<< contextRoot>>, type=sqlActivityMetrics, id=*	This provides the SQL activity during the specified interval as a MBean. This is useful to understand the standard patterns of SQL activity in a production system. This is useful to track the counts and average response times for many SQL queries. Helps to understand the high runners and optimize them. Also helps to drive data partitioning decisions and preserve the query response time.	60m
SQL Activity Summary	com.ibm.team.foundation.sqlactivity:name=<< contextRoot>>, type=sqlActivitySummaryMetrics, sqlStmtType=*	This provides the summary SQL activity during the specified interval as a MBean. This is useful to understand the standard patterns of SQL activity in a production system. This is useful to track the counts and average response times for many SQL queries by type. Helps to understand the high runners and optimize them. Also helps to drive data partitioning decisions and preserve the query response time.	60m
Work Item Information	com.ibm.team.foundation.projectarea:name=<< contextRoot>>, type=projectWorkItemMetrics, typeNameAndProjectNameAndId=*	This provides the type of workitem and the total count of this type of work items for each project area.	1 week
Cluster Member Information	com.ibm.team.foundation.clustermembers:name=<< contextRoot>>, type=clusterMemberDataMetrics, nodeId=*	This publishes the basic node information for each node in the cluster and also the node state.	60m
MQTT Endpoint Metrics	com.ibm.team.foundation.cluster.mqtt:name=<< contextRoot>>, type=mqttEndpointStatistics	This provides information about configured end points with the MessageSight MQTT broker. It has details like total connections, bytes read or written, messages sent/received/lost etc.	15m
MQTT Memory Metrics	com.ibm.team.foundation.cluster.mqtt:name=<< contextRoot>>, type=mqttMemorytatistics	This provides information about the memory characteristics of the MessageSight MQTT broker machine. It includes details like free memory, message payloads etc.	15m
MQTT Store Metrics	com.ibm.team.foundation.cluster.mqtt:name=<< contextRoot>>, type=mqttStoretatistics	This provides information about the disk and pool characteristics of the MessageSight MQTT broker machine.	15m
MQTT Topic Metrics	com.ibm.team.foundation.cluster.mqtt:name=<< contextRoot>>, type=mqttTopictatistics	This provides information about the topics in the MessageSight MQTT broker machine. It includes details like subscriptions, published messages etc.	15m
Asynchronous Tasks Elapsed Time	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=asynchronoustasks,facet=elapsed time in seconds, counterName=*	This is useful to track the average response time for background tasks and help with tuning the frequency of these and also monitor the degradation in their response time.	15m
Asynchronous Tasks Queued Count	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=asynchronoustasks, facet=queuedcount, counterName=*	This is useful to track the backlog of the background tasks being queued up.	15m
JDBC Connection Pool Active Connections	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=activeconnections, counterName= JDBC connection pool	This is useful to understand the sizing for the JDBC pools and if these pool sizes are correctly set for the current concurrency level of the system. If the size is small then higher concurrency will result in operations waiting and is the size is too big then system resources are consumed even though the load does not exist (Article). The different facets are active connections, usage percentage, queue length and wait time.	15m
JDBC Connection Pool Queue Length	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=queuelength, counterName=JDBC connection pool	This is useful to understand the sizing for the JDBC pools and if these pool sizes are correctly set for the current concurrency level of the system. This facet highlights the size of the queue of pending connection requests.	15m
JDBC Connection Pool Usage Percentage	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=usagepercentage, counterName=JDBC connection pool	This is useful to understand the sizing for the JDBC pools and if these pool sizes are correctly set for the current concurrency level of the system. If the size is small then higher concurrency will result in operations waiting and is the size is too big then system resources are consumed even though the load does not exist (Article). The different facets are active connections, usage percentage, queue length and wait time.	15m
JDBC Connection Pool Wait Time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=wait time in ms, counterName=JDBC connection pool	This is useful to understand the sizing for the JDBC pools and if these pool sizes are correctly set for the current concurrency level of the system. This facet highlights the size of the queue of pending connection requests.	15m
RDB Mediator Connection Pool Active Connections	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=active connections, counterName=RDB mediator pool	This is useful to understand the sizing for the RDB mediator pools and if these pool sizes are correctly set for the current concurrency level of the system. If the size is small then higher concurrency will result in operations waiting and is the size is too big then system resources are consumed even though the load does not exist (Article). The different facets are active connections, usage percentage, queue length and wait time.	15m
RDB Mediator Connection Pool Queue Length	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resourceusage, facet=queue length,counterName=RDB mediator pool	This is useful to understand the sizing for the RDB mediator pools and if these pool sizes are correctly set for the current concurrency level of the system. This facet highlights the size of the queue of pending connection requests.	15m
RDB Mediator Pool Usage Percentage	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resource usage,facet=usage percentage,counterName=RDB mediator pool	This is useful to understand the sizing for the RDB mediator pools and if these pool sizes are correctly set for the current concurrency level of the system. If the size is small then higher concurrency will result in operations waiting and is the size is too big then system resources are consumed even though the load does not exist (Article). The different facets are active connections, usage percentage, queue length and wait time.	15m
RDB Mediator Pool Wait Time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=resource usage,facet=wait time in ms,counterName=RDB mediator pool	This is useful to understand the sizing for the RDB mediator pools and if these pool sizes are correctly set for the current concurrency level of the system. This facet highlights the size of the queue of pending connection requests.	15m
Local configuration management cache statistics – Cache hit ratio	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Cache hit ratio as a percentage,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). Other facets are Entry added to cache, Entry removed from cache, Entry found in cache, Entry not found in cache, Entry replaced in cache and Entry garbage collected from cache.	15m
Local configuration management cache statistics – Entry added to cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry added to cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries added to the cache	15m
Local configuration management cache statistics – Entry found in cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry found in cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries found in cache	15m
Local configuration management cache statistics – Entry not found in cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry not found in cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries not found in cache	15m
Local configuration management cache statistics – Entry removed from cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry removed from cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries removed from cache	15m
Local configuration management cache statistics – Entry replaced in cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry replaced in cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries replaced in cache	15m
Local configuration management cache statistics – Entry garbage collected from cache	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Entry garbage collected from cache,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the entries garbage collected from cache.	15m
Local configuration management cache statistics – Time for computing a value in ms	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt cache statistics,facet=Time for computing a value in ms,counterName=*	This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog). This facet highlights the average time to compute a value in ms.	15m
Local configuration management service statistics – Elapsed time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=local config mgmt service,facet=Elapsed time (in ms),counterName=*	This helps with monitoring the average execution time of the different local configuration management service API for DNG and DM. This includes but not limited to operations like creating a changeset, creating a stream, creating a baseline, committing a changeset etc.	15m
Local configuration management service statistics – Creation time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Configuration aware functionality,facet=Creation time (ms),counterName=*	This helps with monitoring the average execution time of some of the advanced config mgmt. operations like skew detection on streams and baselines.	15m
Local configuration management service statistics – Rows created in in a new stream	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Configuration aware functionality,facet=Rows created,counterName=*	This helps with monitoring the number of rows created when a steam create operation is executed.	15m
Transaction cache statistics – Number of hits	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Item Cache Summary,facet=hits,counter Name=*	This provides the transaction cache(s) operation metrics. This provides counts for the following operations on ITEM currents and ITEM state caches. The facets are added, misses, invalidated, hits and autoupdated. This is useful to understand how the caches are performing. In a production environment the hit ratio of the caches should be greater than 95% (Blog).	15m
Transaction cache statistics – Number of misses	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Item Cache Summary,facet=misses,counterName=*	This provides the transaction cache(s) operation metrics. This provides counts for the following operations on ITEM currents and ITEM state caches. This facet highlights the number of misses from the cache.	15m
Transaction cache statistics – Number of invalidations	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Item Cache Summary,facet=invalidated, counterName=*	This provides the transaction cache(s) operation metrics. This provides counts for the following operations on ITEM currents and ITEM state caches. This facet highlights the number of invalidations from the cache.	15m
Transaction cache statistics – Number of entries added	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Item Cache Summary,facet=added,counterName=*	This provides the transaction cache(s) operation metrics. This provides counts for the following operations on ITEM currents and ITEM state caches. This facet highlights the number of entries added to the cache.	15m
Transaction cache statistics – Number of entries auto updated	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Item Cache Summary,facet=autoUpdated ,counterName=*	This provides the transaction cache(s) operation metrics. This provides counts for the following operations on ITEM currents and ITEM state caches. This facet highlights the number of entires that were updated in the cache.	15m
Resource Intensive Scenarios – Elapsed time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=scenarios,facet=elapsed time in millisecs,counterName=*	This provides the counts and average response time for each of the resource intensive scenarios in the system (Deployment Wiki). This is useful to understand how the resource intensive scenarios are performing and track any degradation in their response times.	15m
Resource Intensive Scenarios – Summary Elapsed time in milliseconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=scenarios,facet=elapsed time in millisecs,counterNameAndId =summary_*	This provides the counts and average response time for all the resource intensive scenarios in the system (Deployment Wiki) during the collection interval. This is useful to understand how the resource intensive scenarios are performing and track any degradation in their response times.	15m
Web Service Statistics – Elapsed time in seconds	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=web service,facet=elapsed time in secs,counterName=*	This is useful to track the average response time for web services and watch for degradations. Added to this the other facets are bytes sent to client and bytes received from client. These are useful to track the average request pay load and response pay load for web services and watch for large payloads that may affect the network I/O.	15m
Web Service Statistics – Bytes sent to client	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=web service,facet=bytes sent to client,counterName=*	These are useful to track the average request pay load and response pay load for web services and watch for large payloads that may affect the network I/O.	15m
Web Service Statistics – Bytes received from client	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=web service,facet=bytes received from client,counterName=*	These are useful to track the average request pay load and response pay load for web services and watch for large payloads that may affect the network I/O.	15m
Web Services Statistics Summary Over Collection Intervals	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=webServicesSummary Metrics,facet=,component=	This bean captures the summary information over collection intervals. The summary includes total count, average over interval, max over interval, transaction rate, the total value over interval etc. The summary bean is create by facet and within each facet you can get a summary by component.	15m
Floating license consumption statistics – Concurrent use	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Floating license concurrent use,facet=All servers,counterName=*	This facet captures the floating license consumption from the servers.	15m
Floating license consumption statistics – Concurrent use	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Floating license concurrent use,facet=All servers,counterName=*	This facet captures the floating license consumption from the servers.	15m
Floating license consumption statistics – License checkout time	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Floating license checkout time,facet=All servers,counterName=*	This facet captures the floating license checkout time from the servers.	15m
Floating license consumption statistics – License Denials	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Floating license denials,facet=All servers,counterName=*	This facet captures the floating license denials from the servers.	15m
Token License consumption statistics – Concurrent use	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group= License token use,facet=All providers,counterName=*	This facet captures the token license consumption from the servers.	15m
Token License consumption statistics – License Denials	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group= License token provider denials,facet=All providers,counterName=*	This facet captures the token license denials from the providers.	15m
Compatible Client Login Details – Number of logins	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group= Compatible client logins,facet=Number of logins,counterName=*	This facet captures the number of login attempts from different versions of the client. This MBean is only available in RTC.	15m
Jazz MQTT Service – Messages Received Count	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Count,counterName=*	This facet captures the count of messages received by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Received Frequency (msgs/sec)	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Frequency (msg/s),counterName=*	This facet captures the frequency of messages received by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Received Reset Counter	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Reset,counterName=*	This facet captures the count of reset messages received by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Sent Count	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Count,counterName=*	This facet captures the count of messages sent by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Sent Frequency (msgs/sec)	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Frequency (msg/s),counterName=*	This facet captures the frequency of messages sent by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Sent Reset Counter	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Reset,counterName=*	This facet captures the count of reset messages sent by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Sent Queued Counter	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Queued,counterName=*	This facet captures the count of queued messages to be sent by the Jazz MQTT service.	15m
Jazz MQTT Service – Messages Received Queue Exhausted Counter	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService,facet=Queue Exhausted,counterName=*	This facet captures the count of times when the thread pool size to process received messages has maxed out and the queue to hold excess is full.	15m
Jazz MQTT Service – Published Messages Lost Count	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Send Success rate,counterName=*	This facet captures the count of published messages that got lost and did not make it to the broker.	15m
Jazz MQTT Service – Message Processing Time	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Elapsed time in seconds,counterName=*	This facet captures the average processing time for handling messages received by the Jazz MQTT service.	15m
Jazz MQTT Service – Message Sent Result - Success	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Send Success rate,counterName=*	This facet captures the count of published messages that were successfully delivered to the broker.	15m
Jazz MQTT Service – Message Sent Result - Failure	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Send Success rate,counterName=*	This facet captures the count of published messages that failed to be delivered to the broker.	15m
Jazz MQTT Service – Message processed on main thread	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Send Success rate,counterName=*	This facet captures the count of received messages that were processed on the main thread in the Jazz MQTT Service as the service was being deactivated and also when the threadpool and the queue to use for holding tasks before they are executed were exhausted.	15m
Jazz MQTT Service – Received Messages - Queue Size	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Arrived Messages Processing,counterName=*	This facet captures the size of the queue in MQTT service used to hold incoming messages before a background thread becomes available to process them.	15m
Jazz MQTT Service – Received Messages – thread pool size	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Stats,facet=Arrived Messages Processing,counterName=*	This facet captures the size of the thread pool used to handle the incoming messages by the Jazz MQTT service. The excess messages will be held in queue.	15m
Jazz MQTT Service – Failed connections to broker	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Client Stats,facet=Failed to connect,counterName=*	This facet captures the count of failed connections to the broker from the Jazz MQTT service.	15m
Jazz MQTT Service – Lost connections to broker	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=MqttService Client Stats,facet=Connection lost,counterName=*	This facet captures the count of lost connections to the broker from the Jazz MQTT service.	15m
Distributed Data Microservice – Key Size	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Distributed Maps and Values Sizes,facet=Key Size,counterName=*	Facet reports the size of the object used as a map Key.	15m
Distributed Data Microservice – Added Value Size	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Distributed Maps and Values Sizes,facet=Added Value Size,counterName=*	This facet reports the size of the data help in the map.	15m
Distributed Data Microservice – Number of Elements in Map	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Distributed Maps and Values Sizes,facet=Number of Elements in Map,counterName=*	This facet reports the number of elements in the map.	15m
Distributed Data Microservice – Bytes transferred (in kb)	com.ibm.team.foundation.counters:name=<< contextRoot>>, type=counterMetrics, group=Distributed Persistence Layer,facet=Bytes transferred (in kb) ,counterName=*	This facet reports the size of data (in KB) transferred between persistence layer and distributed maps in memory.	15m

Table 4 - Common Bean Attributes

There are six common attributes that MBeans created for jazz based applications share.

Common Attributes	Description	Type
Domain	This is the namespace for the application under which the MBean data is published	String
creationTimeStamp	This is the time when the MBean was updated with a snapshot of the relevant data	Timestamp
host	This is the host name where the CLM application is running	String
port	This is the port number where the CLM application is accessible on the host. The value is -1 if the port is not set.	int
contextRoot	This is the application root context for the CLM application	String
nodeId	This is the application node id in case the CLM application is clustered	String

Table 5 - Managed Bean Attributes

The specific attributes used by all of the managed beans in the Jazz based applications.

Attributes	Description	Type
workItemType	The type name of the work item type	String
scenarioName	This is the name of scenario this active service is associated with	String
scenarioId	This is a unique scenario instance id this active service is associated with	String
serviceName	This is the name of this active service	String
serviceId	The id of this active service	String
startTime	This is the start time of this active service in milliseconds	Long
duration	This is the total time this active service has been running since it started. This is the current time when the snapshot was taken minus the start time. This is reported in milliseconds	Long
serviceMethod	This is name of the service method	String
userName	This is name of the user who initiated this service	String
userId	This is id of the user who initiated this service	String
threadName	This is the name of the java thread executing this service	String
threadId	This is id of the java thread executing this service	Long
totalCount	This is the total number of active services currently running	Long
countExceedingThresholdDuration	This is a number of actives services whose execution duration has exceeded the threshold	Long
longestDuration	This indicates how long has the longest active service been running in milliseconds	Long
cpuRatio	Count of active services divided by the number of processors on the server	Double
thresholdDuration	This is duration in milliseconds used for identifying the services who have exceeded the threshold	Long
nodeId	This is the application node id	String
nodeURL	This is the URL for the specified node id	String
nodeState	This is state of the node id. Values are INACTIVE=0, STALE=1 and ACTIVE=2	Integer
intervalDuration	This is the collection time interval in seconds	Double
unarchivedCount	This is the count of the unarchived users in the repository	Integer
archivedCount	This is the count of the archived users in the repository	Integer
totalCount	This is the count of the total users in the repository	Integer
name	This is the name of specific counter	String
group	This is the group that the counter belongs to	String
facet	This represents a particular aspect of this counter	String
id	This represents a unique id for this counter	String
value	This is the current average value of the scalar counter	Long
min	This is the minimum value of the scalar counter	Long
max	This is the maximum value of the scalar counter	Long
count	This is the current total count of the range counter samples	Long
total	This is the total value of all the range counter samples	Double
min	This is the minimum value of the range counter	Double
max	This is the maximum value of the range counter	Double
average	This is the average value of the range counter	Double
averageOverInterval	This is the average value of the range counter for this collection time interval	Double
totalOverInterval	This is the total value of the range counter for this collection time interval	Double
countOverInterval	This is the count for this collection time interval	Long
intervalDuration	This is the collection time interval in seconds	Double
transactionRate	This is the transaction rate (countover interval/interval duration) in counts per second	Double
stdDev	This is the standard deviation value of the integral range counter	Long
count	This is the current total count of the integral range counter samples	Long
total	This is the total value of all the integral range counter samples	Long
min	This is the minimum value of the integral range counter	Long
max	This is the maximum value of the integral range counter	Long
average	This is the average value of the integral range counter	Long
averageOverInterval	This is the average value of the integral range counter for this collection time interval	Double
totalOverInterval	This is the total value of the range counter for this collection time interval	Double
countOverInterval	This is the count for this collection time interval	Long
intervalDuration	This is the collection time interval in seconds	Double
transactionRate	This is the transaction rate (countover interval/interval duration) in counts per second	Double
stdDev	This is the standard deviation value of the integral range counter	Long
poolSize	This is the maximum size of the pool	Integer
component	This represents the component name associated with this web service. Value of UnKnown is returned if component name cannot be derived	String
duration	This is the time taken in milliseconds to execute the diagnostic for this test id	Integer
startTime	This is the start time of the diagnostic for this test id	Timestamp
statusDesc	This is the message describing the status	String
detailStatusDesc	This is the detailed message describing the outcome of the diagnostic	String
status	This is the status of the diagnostic. Values are OK, WARN or ERROR	String
testId	This is id of this specific diagnostic	String
nodeId	This is the application node id in case the CLM application is clustered. Otherwise value is NA	String
Enabled	Endpoint is enabled?	Boolean
NodeName	Name of the appliance	String
TimeStamp	Date and time	Date
Name	Name of the endpoint	String
TotalConnections	Total number of connections	Long
ActiveConnections	Number of currently active connections	Long
BadConnections	Number of connections that failed to connect since reset	Long
MsgRead	Number of messages that are read since reset	Long
MsgWrite	Number of messages that are written since reset	Long
BytesRead	Number of bytes read since reset	Long
BytesWrite	Number of bytes written since reset	Long
LostMessageCount	Number of messages that are lost since reset	Long
WarnMessageCount	Warn Message Count	Long
ResetTime	Time at which the statistics for the topic were reset	Date
contributorId	This is the id of the user who initiated a request that caused this error	String
accessedUrl	This is the URL accessed in the system when this error occured	String
queryString	This is the query string portion of the accessed URL	String
activeConfigId	This is the active configuration id which the user was working in when the error occured	String
errorTime	This is the time of error occurence	Timestamp
errorId	This is the error id	String
errorTitle	This is the error title	String
errorDetails	This is the details of the error	String
userId	This is the user id who initiatied the request that caused this error	String
activeConfigName	This is the name of the active configuration in which the user was working when this error occured	String
errorLevel	This is the level of the error. Values are ERROR or WARN	String
indexName	This is the name of the full text index for the application	String
indexLocation	This is the location of the full text index on disk	String
indexSize	This is the size of the full text index on disk in bytes	Long
indexName	This is the name of the jfs index for the application	String
indexFormatType	This is type of index. Values are RDF or TEXT	String
indexAvailability	This reflects the current state of the index. The values are AVAILABLE, SUSPENDED, SUSPENDING, RESUMING, ABORTED, UNCONNECTABLE, RECOVERING or MIGRATION_IN_PROGRESS	String
indexSize	This is the size on disk of the specific jfs index in bytes	Long
indexLastProcessed	The timestamp of the last resource indexed by this indexer	Date
indexLastReceived	The timestamp of the last resource added to the index queue of this indexer	Date
indexDataType	This is type of data in the index. Values are HISTORY or LIVE	String
indexBacklog	The number of items waiting to be indexed	Integer
indexRemainingTime	An estimate of remaining time to finish to processing the indexing operation in milliseconds	Long
itemTypeName	This is the name of the item type	String
dbId	This is a unique id assigned to the type in the database	Integer
noOfStates	This is total number of states that exists in the REPOSITORY.ITEM_STATES system table for this item type	Integer
statesSize	This is total size of all the states that exists in the REPOSITORY.ITEM_STATES system table for this item type in bytes	Long
noOfContents	This is total number of content blobs that exists in the REPOSITORY.CONTENT_STORAGE system table for this item type	Integer
contentsSize	This is total size of content blobs that exists in the REPOSITORY.CONTENT_STORAGE system table for this item type in bytes	Long
sizePercentage	This is percentage of the total size of this item type in relation to the total size of all item types together	Integer
totalSize	This is sum of all the content objects and state objects for this item type in bytes	Long
totalAllSize	This is sum of all the content objects and state objects for all item types in bytes	Long
NodeName	Name of the appliance	String
TimeStamp	Date and time	Date
MemoryTotalBytes	The total amount of physical memory on IBM MessageSight	Long
MemoryFreeBytes	The amount of physical memory that is available	Long
MemoryFreePercent	The amount of free memory as a percentage of total physical memory on MQTT Broker	Long
ServerVirtualMemoryBytes	The amount of virtual memory that is being used by IBM MessageSight	Long
ServerResidentSetBytes	The amount of physical memory that is being used by IBM MessageSight	Long
MessagePayloads	The amount of memory that is being consumed by IBM MessageSight for message payloads	Long
PublishSubscribe	The amount of memory that is being consumed by IBM MessageSight for publish/subscribe data structures	Long
Destinations	The amount of memory that is being consumed by IBM MessageSight for destinations on which messages can be buffered	Long
CurrentActivity	The amount of memory that is being consumed by IBM MessageSight for current activity	Long
ClientStates	The amount of memory that is being consumed by IBM MessageSight for Client States	Long
memoryUsedPercent	This statistic shows the amount of used memory as a percentage of total physical memory.	Integer
intervalDuration	This is the collection time interval in seconds	Integer
subscriptionName	The name of the subscription	String
clusterName	The name of the cluster in which the application is running.	String
bufferedPercent	The percentage of the maximum buffered messages that the current buffered messages represent.	Double
bufferedMessages	The number of published messages that are waiting to be sent to clients.	Long
rejectedMessages	The number of messages that are rejected because the maximum number of buffered messages was reached when the messages were published to the subscription.	Long
discardedMessages	The number of messages that are not delivered because they were discarded when the buffer became full.	Long
intervalDuration	This is the collection time interval in seconds.	Integer
duration	This is the time taken in milliseconds to execute the data validation for this component	Long
startTime	This is the start time of the data validation for this component	Timestamp
componentId	This is id of the component which has registered the data validator	String
statusCode	The component specific status code describing the outcome of the validation	Integer
severity	This is severity of the result. Values are OK=0, INFO=1, WARNING=2, ERROR=4 and CANCEL=8	Integer
message	This is message describing the outcome of the validation	String
exception	Returns the low level exception message if there was an error. Otherwise value is NA	String
isArchived	This is the boolean to indicate is the project area is archived or not	Boolean
noOfContributors	This is the total contributors associated with this project area	Integer
noOfTeams	This is total number of team areas within this project area	Integer
developmentLines	This is the total number of development time liens within this project area	Integer
projectName	This is name of the project area	String
projectId	This is id of the project area	String
workitemCount	This is the total number of work items within this project area	Integer
attachmentCount	This is total number of attachments within this project area	Integer
attachmentTotalLength	This is the total size of all the attachments (in bytes) within this project area	Long
pleEnablementState	This is the PLE enablement state for the project area. Values are OPT_OUT, OPT_IN_SINGLE_STREAM_PER_COMPONENT or OPT_IN_FULL	String
totalNoOfComponents	This is the total number of components within this project area	Long
totalNoOfStreams	This is total number of streams for all the components in this project area	Long
totalNoOfBaselines	This is total number of baselines for all the components in this project area	Long
totalNoOfVersionMappings	This is total number for version mappings for all concepts in all the project area components	Long
MaximumDepthOfRootStream	This is maximum depth of any of the root component streams in this project area	Long
archivedCount	This is total number of archived project areas in this application	Integer
unarchivedCount	This is the total number of unarchived project areas in this application	Integer
totalCount	This is total number of project areas in the application	Integer
scenarioName	This is the name of resource intensize scenario	String
scenarioId	This is a unique id assigned to this instance of the scenario	String
startTime	This is the start time of the scenario instance	Timestamp
endTime	This is end time of the scenario instance	Timestamp
userName	This is name of the user who initiated the scenario	String
isActive	This is a boolean value indicating if the scenario is completed or not. If it is not completed then the end time attribute is set as -1	Boolean
duration	This is the total time this scenario was running in millisecs. If the scenario is still active then this value is indicating how long it has been running since it started until the current time when the snapshot was taken. If it is not active then it is the end time minus the start time	Long
dbPingTime	This is the round trip time from the JTS or application server to the database in milliseconds	Integer
noOfServicesWithErrorStatus	This is a number of services from all components that have failed to initialize	Integer
servicesWithErrorStatusMsg	This is the error message associated with all the services not fully initialized	String
dbConnectionStatus	This is the status of the databse connection. Values are ERROR, OK or WARNING.	String
dbConnectionStatusMsg	This is message associated with an error for the database connection status	String
serverstateId	The etag of the jpi prefix mappings reflects the complete state of all prefix mappings. If there are no mappings this value is NA	String
serverStateMsg	This is message associated with when the server state Id indicates that a server renmae has occured	String
buildId	This is the build id associated with the server	String
freeMemory	The amount of free memory in the Java Virtual Machine in bytes	Long
totalMemory	The total amount of memory in the Java virtual machine in bytes	Long
maxMemory	The maximum amount of memory that the Java virtual machine will attempt to use in bytes	Long
sqlHash	This is unique hashcode for this specific SQL statement	String
sqlStmt	This is the SQL statement	String
sqlMinTime	The smallest execution time (in ms) for all instances of this statement	Integer
sqlMaxTime	The largest execution time (in ms) for all instances of this statement	Integer
sqlTotalTime	The total sum execution time (in ms) for all instances of this statement	Integer
sqlTotalCount	The number of times this statement was executed	Integer
sqlAverageTime	The average execution time (in ms) for all instances of this statement	Float
sqlLastExecutedTimestamp	The time this statement was last executed	Date
sqlStmtType	The type of transaction. Values are read, write or other	String
sqlActivityInterval	The interval in milliseconds used for capturing the sql activity in this bean	Long
sqlTotalTime	The total sum execution time (in ms) for all sql statements of this type	Integer
sqlTotalCount	The number of times this type of statement was executed	Integer
sqlAverageTime	The average execution time (in ms) for all sql statements of this type	Double
sqlStmtTime	The type of statement. Values are read, write or other	String
sqlActivityInterval	The interval in milliseconds used for capturing the sql activity in this bean	Long
NodeName	Name of the appliance	String
TimeStamp	Date and time	Date
DiskUsedPercent	Specifies the percentage of disk space that is used	Long
DiskFreeBytes	Specifies the amount of disk space that is available	Long
MemoryUsedPercent	Specifies the percentage of persistent memory that is used, and therefore not available	Long
MemoryTotalBytes	Total memory in bytes	Long
*TotalBytes	Pool total bytes	Long
*UsedBytes	Total used bytes by Pool	Long
*UsedPercent	Memory in Percent used by Pool	Long
*RecordsLimitBytes	Pool Records limit in bytes	Long
*RecordsUsedBytes	Pool Records used memory in bytes	Long
NodeName	Name of the appliance	String
TimeStamp	Date and time	Date
TopicString	The topic that is being monitored. The topic string always contains a wildcard.	String
Subscriptions	The number of active subscriptions on the topics that are monitored. The figure shows all active subscriptions that match the wildcarded topic string.	Long
ResetTime	The time at which the statistics for the topic were reset. The ResetTime is usually the time when the topic monitor is created.	Date
PublishedMsgs	The number of messages that are successfully published to a topic that matches the wildcarded topic string.	Long
RejectedMsgs	The number of messages that are rejected by one or more subscriptions where the quality of service level did not cause the publish request to fail.	Long
FailedPublishes	The number of publish requests that failed because the message is rejected by one or more subscriptions.	Long
group	This is the group that this counter summary belongs to	String
facet	This represents a particular aspect of this summary	String
component	This represents the component name associated with this web service summary. Value of UnKnown is returned if component name cannot be derived	String
averageOverInterval	This is the average value across all range counters for this collection time interval	Double
maxOverInterval	This is the maximum average value across all range counters for this collection time interval	Double
totalOverInterval	This is the total value across all range counters for this collection time interval	Double
countOverInterval	This is the total count across all range counters for this collection time interval	Double
intervalDuration	This is the collection time interval in seconds	Double
transactionRate	This is the transaction rate (countover interval/interval duration) in counts per second	Double
projectName	This is name of the project area	String
projectId	This is id of the project area	String
count	This is the total number of work items of this type within this project area	Integer

External links:

Additional contributors: TWikiUser, TWikiUser

Deployment

Community information and contribution guidelines

Status icon key:

To do
Under construction
New
Updated
Constant change
None - stable page

Smaller versions of status icons for inline text:

Copyright © by IBM and non-IBM contributing authors. All material on this collaboration platform is the property of the contributing authors.
Contributions are governed by our Terms of Use. Please read the following disclaimer.
Dashboards and work items are no longer publicly available, so some links may be invalid. We now provide similar information through other means. Learn more here.