ICONICS Modules Performance Counters

ICONICS AlarmWorX64 Logger Server

  • Current Archive State

  • Events Logged Count

  • Print Count

  • Print Input Count

  • Received Events Count

  • Size of the Log Queue

  • Size of Print Queue

  • Store and Forward Files Creation Count

  • Store and Forward Files Removal Count

  • Successful Logs to Primary Count

  • Successful Logs to Secondary Count

  • Total # of Dropped Events

  • Watchdog Update Count

ICONICS AlarmWorX64 Server

  • Alarms per Second - Includes changes that trigger an update without generating a new alarm.

  • DA Points on Scan

  • DA Points Update Rate

  • Invalid Points Requested by Clients - Counts bad tag names requested by client of alarm server.

  • Invalid Points Requested by Server - Counts bad tags requested by alarm server.

  • Total # of Alarm Areas for Active Configuration

  • Total # of Alarms Configured for Active Configuration

  • Total # of Alarms Enabled for Active Configuration

  • Total # of Online Changes

  • Total # of Subscriptions

  • Total Alarms Count

  • Watchdog Update Count

ICONICS AlertWorX Email Service

  • Failed

  • Input Rate

  • Passed

  • Processed Rate

  • Queue Size

ICONICS AlertWorX Pager Service

  • Failed

  • Input Rate

  • Passed

  • Processed Rate

  • Queue Size

ICONICS AlertWorX Server

  • Client Update Watchdog - Rate that monitors the periodic processing of updates - may be obsoleted later.

  • Data Output Rate - The rate updates are sent.

ICONICS AssetWorX Point Manager

  • Cache read load % - The percentage of time spent by the cache thread by reading from the cache. This counter is computed on the start of every "caching period".

  • Cache reads/sec - Number of properties successfully read from the database cache per second.

  • Cache total load % - The percentage of time spent by the cache thread by operating the database (that is, reading + writing). This counter is computed on the start of every "caching period".

  • Cache write load % - The percentage of time spent by the cache thread by writing into the cache. This counter is computed on the start of every "caching period".

  • Cache writes/sec - Number of properties successfully written into the cache per second.

  • DA points on scan - Number of real time points subscribed by AC.

  • DA points update rate - Updates per second on the real time points.

  • Equipment Configured Count - The number of equipment configured in the configuration database.

  • Equipment Properties Configured as Always On Scan Count - The number of equipment properties configured to be always on scan.

  • Equipment Properties Configured Count - The number of equipment properties configured in the configuration database.

  • Events cache size- The number of events and alarms that are currently in an abnormal state, and being cached in the AssetWorX memory.

  • Events input queue length - The number of events waiting in the input queue to the rules engine. This should remain at zero, or could raise for a short period of time in the case of an input peak.

  • Events input/sec - Events per second comming into AssetWorX

  • Events output/sec - Events per second going out of AssetWorX

  • Events processed/sec

  • Events processing load % - The CPU load of the event processing part of AssetWorX

ICONICS Async Point Manager

  • Average items in queue

  • Pool Utilization %

ICONICS BACnet Runtime

  • COV Errors Count

  • COV Transactions Count

  • Device with Highest Subscription Count

  • Devices Counfigured in Database Count

  • Devices in Cache Count

  • Highest Subscription Count to a Device

  • Objects Configured in Database Count

  • Objects in Cache Count

  • Read Property Errors Count

  • Read Property Multiple Errors Count

  • Read Property Multiple Transactions Count

  • Received COV Updates Count

  • Received Read Property Multiple Updates Count

  • Received Read Property Updates Count

  • Subscribed Points Count

  • Write Property Errors Count

  • Write Property Multiple Errors Count

  • Write Property Multiple Transactions Count

  • Write Property Transactions Count

ICONICS BI Server Point Manager

  • # of currently executing queries at a given time

  • Average query execution time (ms)

  • Average query result set

  • Configured Dataflows Count

  • Configured Models Count

  • Online Models Count

  • Total # of executed queries since service start

  • Total # of failed queries since service start

  • Total # of invalid queries

ICONICS Energy AnalytiX Energy Calculations

These counters relate to information regarding the Energy Calculations processing. The counters may go up and down over time. Typically, they tend to have higher values for processing time towards the end of the day and faster ones at the beginning of the day. The storage times indicate how long it takes to save the calculations in the database. Typically, base summaries will take longer than hourly or daily summaries. The counters produce both overall values (Cycle process time etc.) as well as specific values (Standard calculations (base summary) processing time). % of Completed calculations is the percentage of Energy Calculations that completed, ie did not fail for some reason. A low value indicates data collection and/or configuration issues.

Note that the counters will update over time. Typically, energy calculations are run at about 15 minutes intervals.

  • For processing interval counters we could set a time limit past which we can set an alert. For example, a typical calculation processing should take less than 15 minutes.

  • If % of completed calculations is less that say 90 or 95% this may be a cause of concern.

  • % of Completed Calculations

  • Base Summaries Storage Time (sec)

  • Calculation Cycle Process Time (sec)

  • Daily Summaries Storage Time (sec)

  • Derived (base summaries) Process Time (sec)

  • Derived (daily summaries) Process Time (sec)

  • Derived (hourly summaries) Process Time (sec)

  • Hourly Summaries Storage Time (sec)

  • Metadata re-Processing Time (sec)

  • Standard (base summaries) Process Time (sec)

  • Standard (daily summaries) Process Time (sec)

  • Standard (hourly summaries) Process Time (sec)

ICONICS Energy AnalytiX Energy Meter Processing

These counters produce information regarding the summarization of meter data. The counters indicate the overall time required (to process in memory as well as to save the meter summaries to the database) along with the incoming raw meter samples vs the produced meter summaries. The counters will update when new meter summaries are produced, typically every 15 minutes. A low value of meter summaries indicates potential communication issues or configuration issues.

  • For processing interval counters we could set a time limit past which we can set an alert. For example, a typical processing should take less than 5 minutes

  • Typical raw count values will be much larger than summary counts. For example, say 5000 raw meter values may produce only 120 summaries (one for each meter)

  • If the count of meter summaries drops low or zero, this is an indication of issues or communications

  • Count of Meter Summaries

  • Count of Raw Meter Values

  • Count of Raw Related Meter Values

  • Count of Related Meter Summaries

  • Meter Data Process Time (sec)

  • Related Meter Data Process Time (sec)

ICONICS Energy AnalytiX External Data Import

These counters relate to information regarding the External data import. Energy AnalytiX supports external data import for the following items:

  • Meter data

  • Related Meter data

  • Metadata

  • Weather data

  • Rates

  • Budgeted costs

The % imported counters indicate the ratio of successfully imported values. A low value of the above counters indicates system issues such as misconfiguration, database load issues, limited hard disk space etc. These counters may or may not update, based on application settings (i.e. if External data are utilized at all).

  • For processing interval counters we could set a time limit past which we can set an alert. For example, a typical processing should take less than 5 minutes

  • If % of imported data is less that say 90 or 95% this may be a cause of concern

  • % of Imported Financial Data

  • % of Imported Metadata Data

  • % of Imported Meter Data

  • % of Imported Rate Data

  • % of Imported Related Meter Data

  • % of Imported Weather Data

  • Financial Data Import Time (sec)

  • Metadata Data Import Time (sec)

  • Meter Data Import Time (sec)

  • Rate Data Import Time (sec)

  • Related Meter Data Import Time (sec)

  • Weather Data Import Time (sec)

ICONICS Energy AnalytiX Historian Data

The above counters relate to historical data support within Energy AnalytiX. A high number of failed requests or a low number for Good data indicates communication or load performance issues with respect to Platform Services and Historian (such as Hyper Historian). The Batch Process Time indicates the time requested to process all received data, including time to merge data if backfill operation is triggered, time to save historian samples etc. A continuously growing value indicates application overloading and system misconfiguration. The Average sample count per request is used to detect if Energy AnalytiX is configured to request a huge number of historian samples, in which case it is constantly breaking the requests into smaller ones.

  • If the % of failed requests is high, this points to loading issues or communication issues

  • If the processing time of each batch is way too long, say more than 15 minutes, this can point to loading or database timeout issues

  • If the % of Good data is below 95%, this points to communication issues

  • % of Failed Requests

  • % of Good Data

  • Average Samples per Request

  • Batch Process Time (sec)

ICONICS Energy AnalytiX Point Manager

  • Average Query Execution Time

  • Average Query Execution Time Base

  • Cache Hit Ratio

  • Failed Queries Rate

ICONICS Energy AnalytiX Raw Data Collection

These counters indicate percentage of raw data through Platform Services. A low value indicates communication issues or extreme network delays. The above counters will be updated about every 1 min.

  • If the % counters drop below 90% or 95% indicate possible communication issues

  • % of Good Quality Data (metadata)

  • % of Good Quality Data (meters)

  • % of Good Quality Data (rates)

  • % of Good Quality Data (weather)

ICONICS FDDWorX Point Manager

  • Average Query Execution Time - Represents the average database query execution time (in milliseconds).

  • Cache Hit Ratio - Represents the percentage of hits to the internal cache that holds database, Web Service, or MobileHMI PM call results.

  • Failed Queries Rate

ICONICS FDDWorX Server

  • Average Log Append Time

  • Failed Log Writes Rate

  • Input Data Update Rate

  • Logging Queue Size

  • Logging Rate

  • Number of Assets on Scan

  • Number of Fault Rules on Scan

ICONICS FrameWorX Point Manager

  • Browse Request Count - Same as Request Count, but only for Browse requests.

  • Browse Requests per Second - Same as Requests per Second, but only for Browse requests.

  • Custom Request Count - Same as Request Count, but only for Custom requests.

  • Custom Requests per Second - Same as Requests per Second, but only for Custom requests.

  • Data Update Count - Number of all data updates sent to clients by the particular Point Manager. This counter always grows. Value of 0 means the Point Manager never sent any data update to any client.

  • Data Updates per Second - Number of data updates sent to clients by the particular Point Manager per second. The higher the value is, the busier the Point Manager is.

  • Dataset Request Count - Same as Request Count, but only for Dataset requests.

  • Dataset Requests per Second - Same as Requests per Second, but only for Dataset requests.

  • Dropped Data Update Count - Number of dropped data updates. A dropped data update is a data update that has been discarded before sending to a client, because a newer data update became available. This counter always grows. Too many dropped updates indicates the clients requested faster scan rate than they can handle. Dropped updates create unnecessary load to the server.

  • Dropped Data Updates per Second - Number of dropped data updates per second. High values indicate overloading.

  • Event Update Count - Same as Data Update Count, but represents for Event updates. Event updates include AE notifications, updates from procedures and dataset updates.

  • Event Updates per Second - Same as Data Updates per Second, but for Event updates.

  • Method Request Count -  Same as Request Count, but only for Method requests.

  • Method Requests per Second - Same as Requests per Second, but only for Method requests.

  • Point Count - Number of points handled by the particular Point Manager.

  • Read/Write Request Count - Same as Request Count, but only for Read/Write requests.

  • Read/Write Requests per Second - Same as Requests per Second, but only for Read/Write requests.

  • Request Count - Number of all requests handled by the particular Point Manager. This counter always grows. Value of 0 means the Point Manager never handled any request, i.e. it has not been used (so far).

  • Requests per Second - Number of all requests handled by the particular Point Manager per second. The higher the value is, the busier the Point Manager is.

  • Subscription Request Count - Same as Request Count, but only for Subscription requests.

  • Subscription Requests per Second - Same as Requests per Second, but only for Browse requests.

ICONICS FrameWorX Server

  • Aggregator Cache Size - Count of points that are in the Aggregator’s cache. These points are on scan, but no client is currently subscribed to them. Points in cache add load to under laying servers, increase memory usage and CPU utilization, but improve the performance of switching client displays.

  • Event ID Cache Size - Count of EventIDs stored in EventID cache, which is used to check security when acknowledging alarms. The count should never exceed the number of all configured alarms.

  • Invalid Point Name Requests Count

  • Session Count - Number of sessions currently handled by the server.

  • Unknown Point Name Requests Count

ICONICS FrameWorX Server Internal Session

  • Queue Size - Length of update queue used by an internal session. Internal session may be used by Point Managers that request points on other Point Managers (e.g. Aggregator). If the queue grows, it means the Point Manager using the internal session does not remove the updates from the queue as quick as it should. It indicates a serious error or overload of the Point Manager.

ICONICS FrameWorX Server Session

The difference between the counter instances in Session and Session (PID) is that:

  • An instance in Session category represents all occurrences of a certain client application on one computer, e.g. all GraphWorX’s running on PC1 will be counted in one instance.

  • An instance in Session (PID) category represents each occurrence of a client application separately, e.g. starting GraphWorX, stopping it, starting another GraphWorX on the same computer creates two instances.

Instances in Session (PID) are more “granular” than instances in Session category.

  • Dropped Data Updates per Second - Number of dropped data updates in the particular session per second. A high value indicates the client that created the session requested faster scan rate than it can handle.

  • Pending Browse Requests - Same as Pending Requests, but only for Browse requests.

  • Pending Custom Requests - Same as Pending Requests, but only for Custom requests.

  • Pending Dataset Requests - Same as Pending Requests, but only for Dataset requests.

  • Pending Method Requests - Same as Pending Requests, but only for Method requests.

  • Pending ReadWrite Requests - Same as Pending Requests, but only for Read/Write requests.

  • Pending Requests - Number of requests that have been sent to FWX server, but the server did not send any response back yet. Constant high value means the particular session is overloading the server. Growing value may indicate a problem in the server (the server does not respond to incoming requests).

  • Pending Subscribe Requests - Same as Pending Requests, but only for Subscribe requests.

  • Point Count - Number of points being used by the particular session.

  • Requests per Second - Number of requests the particular session sends to the server. This can be used to determine which session causes the biggest load.

  • Responses per Second - Number of responses the server sends to the particular session. Note that Responses are Results (one per each Request) + Updates, i.e. RequestRate does not have to be equal to ResponseRate.

ICONICS FrameWorX Server Session (PID)

  • Output Queue Size - Size of the output queue for the particular session. Should not grow over time.

  • Output Updates per Second - Number of responses sent though the session’s output queue per second.

  • Response Queue Size

ICONICS Global Aliasing

  • Configured Aliases Count

  • Configured Themes Count

ICONICS GridWorX Point Manager

  • % of cache hits - Represents the percentage of hits to the internal cache that holds database query results.

  • % of cache utilization - Represents how much of the internal cache is being utilized, in percentage, at any given moment.

  • % of failed queries - Represents the percentage of failed queries (queries that ended in exception) over the total # of queries.

  • % of failed queries (base) -

  • Average query execution time (ms) - Represents the average query execution time in milliseconds.

  • Cache reads/sec - Represents how many cache reads are being performed per second.

  • Cache writes/sec - Represents how many cache writes are being performed per second.

  • Configured Objects Count

  • Failed queries/sec - Represents the number of failed queries (queries that ended in exception) per second.

  • Queries/sec - Represents how many queries per second are being executed.

  • Total # of active queries - Represents the number of active queries to databases at any given time.

ICONICS HyperHistorian Collector

  • DA Point Updates per Second

  • DA Points on Scan Count

  • Number of BAD quality points

  • Number of GOOD quality points

  • Queued Data Packages Count

ICONICS HyperHistorian File Logger

  • Cached Archive File Count

  • Cached Datablock Count

  • Filtered Request Count

  • IO Reads per Second (KB)

  • IO Writes per Second (KB)

  • Queued IO Request Count

  • Queued IO Volume Operation Count

  • Queued Read/Write Request Count

  • Queued Sync Request Count

  • Requests per Second

ICONICS HyperHistorian Logger

  • Enabled Calculated Tags Count

  • Enabled Collected Tags Count

  • Enabled Merged Tags Count

  • Logged Values Count

  • Logged Values per Second

  • Performance Calculations Count

  • Performance Calculations per Second

  • Read Values Count

  • Read Values per Second

  • Total Calculated Tags Count

  • Total Collected Tags Count

  • Total Merged Tags Count

ICONICS IoT Publisher

  • Active Connections Count

  • Published Dynamic Points Count

  • Published Static Points Count

ICONICS IoT Publisher Azure Hub Connection

  • 4k Messages Sent Count

  • Bytes Received Count

  • Bytes Sent Count

  • Messages Sent Count

  • Messages Sent Errors Count

ICONICS IoT Publisher Collector

  • Data Packages Error Sent Count

  • Data Packages Sent Count

  • Disk Data Updates Count

  • Memory Data Updates Count

  • Points On Scan

ICONICS IoT Publisher Connection

  • Command Browse Attempts Count

  • Command Browse Errors Count

  • Command Dynamic Point Subscribe Attempts Count

  • Command Dynamic Point Subscribe Errors Count

  • Command Method Call Attempts Count

  • Command Method Call Errors Count

  • Command Refresh Attempts Count

  • Command Write Attempts Count

  • Command Write Errors Count

  • Commands Received Count

  • Command Received Errors Count

  • Heartbeat Attempts Count

  • Heartbeat Errors Count

  • Open Attempts Count

  • Open Errors Count

  • Publish Attempts Count

  • Publish Errors Count

  • Refresh Attempts Count

  • Refresh Errors Count

ICONICS IoT Publisher Platform Services Connection

  • History Values Wrote Count

  • History Values Wrote Errors Count

ICONICS Language Aliasing

  • Configured Aliases Count

  • Configured Unit Conversions Count

ICONICS MergeWorX

  • Failed Point Updates Rate

  • Point Update Rate

  • Succeeded Point Updates Rate

  • Triggered Events

ICONICS MobileHMI HTML5 Server

  • Browser session count

  • Count of Service Engines in Disposed State

  • Count of Service Engines in Empty State

  • Count of Service Engines in Ready State

  • Count of Service Engines in Running State

  • Count of Service Engines in Suspended State

  • Count of Service Engines in Uninitialized State

  • Service Engine count

ICONICS MobileHMI HTML5 Service Engine

  • Bytes received

  • Bytes sent

  • Current Service Engine State

  • Messages received

  • Messages sent

  • Size of BuildingBlock DOM

  • Size of Client DOM

ICONICS MobileHMI Point Manager

  • % of failed calls - Represents the percentage of failed calls (calls that ended in exception) for the PM over the total # of calls.

  • Average call execution time (ms) - Represents the average call execution time, in milliseconds, to the PM. NOTE: this number will usually be quite small as most of the processing happens in memory so it is quite fast.

  • Calls/sec - Represents the number of calls per second to the PM.

  • Failed calls/sec - Represents the number of failed calls (calls that ended in exception) per second for the PM.

  • Total # of active calls - Represents the total number of active calls to the PM at any given time. If calls are very fast this number is likely to be zero most of the time.

ICONICS Modbus OPC Server

  • Current number of Modbus frames in Pending state

  • Current number of Modbus frames in Waiting state

  • Current number of OPC AE Clients

  • Current number of OPC AE Subscriptions

  • Current number of OPC DA Clients

  • Current number of OPC DA Groups

  • Current number of DA Items

  • Current number of sockets in Idle state

  • Current number of sockets in Use

  • Current number of Tag objects

  • Current number of Write Modbus frames in Pending state

  • Current number of Write Modbus frames in Waiting state

  • Total number of Modbus frames received

  • Total number of Modbus frames received (Bad in row)

  • Total number of Modbus frames received (Bad)

  • Total number of Modbus frames received (Good)

  • Total number of Modbus frames sent

  • Total number of OPC AE Callbacks sent

  • Total number of OPC AE Events sent

  • Total number of OPC DA Callbacks sent

  • Total number of OPC DA Events sent

  • Total number of Sockets

  • Total number of Write Modbus frames completed

ICONICS Modbus Point Manager

  • Devices on scan

  • Modbus READ packets received as BAD

  • Modbus READ packets received as Exceptions

  • Modbus READ packets received as OK

  • Modbus READ packets received, TOTAL

  • Modbus READ packets sent

  • Modbus WRITE packets received as BAD

  • Modbus WRITE packets received as Exceptions

  • Modbus WRITE packets received as OK

  • Modbus WRITE packets received, TOTAL

  • Modbus WRITE packets sent

  • Number of sockets

  • Points subscribed

  • Tags on scan

ICONICS OData Connector Plugins

  • # of active calls - Represents the total number of active calls to this plugin at any given time. If calls are very fast this number is likely to be zero most of the time.

  • % of failed calls - Represents the percentage of failed calls (calls that ended in exception) for this plugins over the total # of calls to this plugin.

  • % of timed out calls - Represents the percentage of timed out calls for this plugin.

  • Average call execution time (ms) - Represents the average call execution time, in milliseconds, for this plugin.

  • Calls/sec - Represents the number of calls per second to this plugin.

  • Failed calls/sec

  • Timed out calls/sec - Represents the number of timed out calls for this plugin per second.

ICONICS OData Connector Point Manager

  • # of active FwxAsyncClient instances - Represents the total number of FwxAsyncClient instances currently used by the OData Point Manager to retrieve data. The OData PM will create a FwxAsyncClient instance and cache it with a sliding expiration of 1 minute: all calls received during the window will reuse the same instance; if the sliding window expires the cached instance will be disposed. If authentication + impersonation are enabled, a dedicated FwxAsyncClient instance will be created per user connected (to keep the security contexts separated).

  • Total # of active calls - Represents the total number of active calls to all plugins at any given time. If calls are very fast this number is likely to be zero most of the time.

  • Total % of failed calls - Represents the percentage of failed calls (calls that ended in exception) for all plugins over the total # of calls to all plugins.

  • Total % of timed out calls - Represents the percentage of timed out calls for all plugins.

  • Total calls/sec - Represents the number of calls per second to all plugins.

  • Total failed calls/sec - Represents the number of failed calls (calls that ended in exception) per second for all plugins.

  • Total timed out calls/sec - Represents the number of timed out calls for all plugins per second.

ICONICS Recipe Point Manager

  • Read Errors Count

  • Reads Pending

  • Reads Succeeded Count

  • Requests Pending

  • Write Errors Count

  • Writes Pending

  • Writes Succeeded Count

ICONICS ReportWorX Runtime

  • Redirector command average time (ms)

  • Redirector command max time (ms)

  • Redirector command min time (ms)

  • Redirector commands

  • Redirector commands failed

  • Redirector commands succeeded

  • Report average time (ms)

  • Report min time (ma)

  • Total failed reports

  • Total reports in queue

  • Total reports processed

  • Total reports succeeded

  • Total reports with errors

ICONICS ScheduleWorX64

  • Read Errors Count

  • Reads Count

  • Write Errors Count

  • Writes Count

ICONICS Security

  • Active directory request cumulative duration seconds - The cumulative duration of Active Directory requests in seconds.

  • Active directory request rate - The rate of Active Directory requests per second.

  • Security sessions - Current number of security sessions.

  • User auto logout count - Cumulative counter of auto logouts on all security sessions.

  • User login failure count - Cumulative counter of failed login requests on all security sessions.

  • User login success count - Cumulative counter of successful login requests on all security sessions.

  • User logout failure count - Cumulative counter of failed logout requests on all security sessions.

  • User logout success count - Cumulative counter of successful logout requests on all security sessions.

  • Users currently logged in - Current number of uses on all security sessions. Inclusive automatically logged in users.

ICONICS SNMP Point Manager

  • Device Configured Count – The number of the devices configured in the configuration database.

  • Device Subscribed Count – The number of the devices on scan (some point from the device is subscribed). It’s sum of Device Subscribed Offline Count and Device Subscribed Online Count counters.

  • Device Subscribed Offline Count – The number of the devices that are on scan but offline

  • Device Subscribed Online Count – The number of the devices that are on scan and online.

  • Network Configured Count – The number of the networks configured in the configuration database.

  • Request Average Process Time – The average time that is needed to process one request (read or write), calculated since the point manager was started.

  • Request Average Queue Time – The average time that the request waits in the processing queue, calculated since the point manager was started. (This is part of the average process time.)

  • Request Processed Count Total – The total number of the processed requests since the point manager was started.

  • Request Read Count Total – The total number of read requests processed since the point manager was started.

  • Request Read Error Count Total – The total number of read errors encountered since the point manager was started.

  • Request Write Count Total – The total number of write requests since the point manager was started.

  • Request Write Error Count Total – The total number of write errors encountered since the point manager was started.

  • Server Running– Elapsed time from the moment when the point manager was started.

  • Server Started– The timestamp of when the server was started, UTC time.

  • Socket Allocated Count – The number of allocated sockets that are used for the communication with devices over the network.

  • Socket Blocked Count – The number of the sockets that are currently in use.

  • Socket Blocked Count Total – The total number of the sockets that have been created since the point manager was started.

  • Socket Freed Count – The number of the sockets that are currently available.

  • Socket Freed Count Total – The total number of the sockets that have been freed since the point manager was started.

  • Tag Client DA Subscription Count– The number of active client DA subscriptions.

  • Tag Configured Count – The number of the configured tags in the configuration database.

  • Tag Subscribed Count – The number of currently subscribed tags, including DA and dataset tags.

  • Trap Aborted Count Total – The total number of aborted traps.

  • Trap Configured Count – The number of the traps configured in the configuration database.

  • Trap Error Count Total – The total number of the errors when receiving the traps.

  • Trap Received Count Total – The total number of the received traps.

ICONICS TrendWorX64 HDA Server

  • Inserted Comments

  • Logging Table Queries

  • Read Requests from Clients

  • Samples Returned

  • Support Table Queries

ICONICS TrendWorX64 Logger

  • Configured Tags Count

  • DA Updates per Second

  • Database Group Count

  • Logging Group Count

  • Store and Forward Files Creation Rate

  • Store and Forward Files Removal Rate

ICONICS TrendWorX64 Logger Database

  • Standby Cache Size

  • Successful Logs to Primary per Second

  • Successful Logs to Secondary per Second

ICONICS Trigger Point Manager

  • Points Failed Count

  • Points On Scan

  • Trigger Errors Count

  • Trigger Notifications Count

  • Triggers Configured Count

  • Triggers Running Count

  • Triggers Subscribed Count

ICONICS Unified Data Manager Expressions

  • Client Points on Scan

  • Client Subscribed Point Count

  • Client Subscribed Point Failure Count

  • Client Subscribed Point Failure Rate

  • Client Subscribed Point Rate

  • Client Subscribed Point Success Count

  • Client Subscribed Point Success Rate

  • Client Updated Count

  • Client Update Rate

  • Client Write Success Count

  • Client Write Success Rate

  • Client Writes Count

  • Client Writes Failure Count

  • Client Writes Failure Rate

  • Client Writes Rate

  • Clients Connected

  • Configured Items Count

  • DA Points on Scan

  • DA Update Count

  • DA Update Rate

  • DA Write Success Count

  • DA Write Success Rate

  • DA Writes Count

  • DA Writes Failure Count

  • DA Writes Failure Rate

  • DA Writes Rate

  • Pending Writes Queue Size

ICONICS Unified Data Manager Groups

  • Client Points on Scan

  • Client Subscribed Point Count

  • Client Subscribed Point Failure Count

  • Client Subscribed Point Failure Rate

  • Client Subscribed Point Rate

  • Client Subscribed Point Success Count

  • Client Subscribed Point Success Rate

  • Client Update Count

  • Client Update Rate

  • Client Write Success Count

  • Client Write Success Rate

  • Client Writes Count

  • Client Writes Failure Count

  • Client Writes Failure Rate

  • Client Writes Rate

  • Clients Connected

  • Configured Items Count

  • DA Points on Scan

  • DA Update Count

  • DA Update Rate

  • DA Write Success Count

  • DA Write Success Rate

  • DA Writes Count

  • DA Writes Failure Count

  • DA Writes Failure Rate

  • DA Writes Rate

  • Pending Writes Queue Size

ICONICS Unified Data Manager Registers

  • Client Points on Scan

  • Client Subscribed Point Count

  • Client Subscribed Point Failure Count

  • Client Subscribed Point Failure Rate

  • Client Subscribed Point Rate

  • Client Subscribed Point Success Count

  • Client Subscribed Point Success Rate

  • Client Update Count

  • Client Update Rate

  • Client Write Success Count

  • Client Write Success Rate

  • Client Writes Count

  • Client Writes Failure Count

  • Client Writes Failure Rate

  • Client Writes Rate

  • Clients Connected

  • Configured Items Count

  • DA Points on Scan

  • DA Update Count

  • DA Update Rate

  • DA Write Success Count

  • DA Write Success Rate

  • DA Writes Count

  • DA Writes Failure Count

  • DA Writes Failure Rate

  • DA Writes Rate

  • Pending Writes Queue Size

ICONICS Unified Data Manager Value Sets

  • Client Points on Scan

  • Client Subscribed Point Count

  • Client Subscribed Point Failure Count

  • Client Subscribed Point Failure Rate

  • Client Subscribed Point Rate

  • Client Subscribed Point Success Count

  • Client Subscribed Point Success Rate

  • Client Update Count

  • Client Update Rate

  • Client Write Success Count

  • Client Write Success Rate

  • Client Writes Count

  • Client Writes Failure Count

  • Client Writes Failure Rate

  • Client Writes Rate

  • Clients Connected

  • Configured Items Count

  • DA Points on Scan

  • DA Update Count

  • DA Update Rate

  • DA Write Success Count

  • DA Write Success Rate

  • DA Writes Count

  • DA Writes Failure Count

  • DA Writes Failure Rate

  • DA Writes Rate

  • Pending Writes Queue Size

ICONICS Web Services Point Manager

  • % of cache hits

  • % of cache utilization

  • % of failed calls

  • Average call execution time (ms)

  • Cache reads/sec

  • Cache writes/sec

  • Calls/sec

  • Configured Services Count

  • Failed calls/sec

  • Total # of active calls

See Also:

System Health Monitor

Health Monitor Settings

Platform Services Health Monitoring Features

System Health Monitor Services Enumeration