Adobe Marketing Cloud Data Workbench Monitoring Profile
|
|
- Arleen Wade
- 8 years ago
- Views:
Transcription
1 Adobe Marketing Cloud Data Workbench Monitoring Profile
2 Contents Data Workbench Monitoring Profile...3 Installing the Monitoring Profile...5 Workspaces for Monitoring the Data Workbench Server...8 Data Workbench Historic workspace...8 Data Workbench Profile Status workspace...11 Data Workbench Server Status workspace...13 Data Workbench Profile Dimensions and Metrics...16 Dimensions in the Data Workbench Historic profile...16 Dimensions in the Data Workbench Profile Status profile...20 Dimensions in the Data Workbench Server Status profile...22 Metrics in the Data Workbench Historical Monitoring profile...25 Last updated 10/16/2014 Data Workbench Monitoring Profile
3 Data Workbench Monitoring Profile 3 Data Workbench Monitoring Profile The data workbench Monitoring Profile allows administrators to monitor the general health of data workbench servers at defined intervals, report errors in real-time, and optimize data workbench load capacity and processing schedules. By providing support and monitoring capabilities for data workbench servers, the data workbench administrator can better optimize server load and comply with enterprise standards for data workbench analytic services, including features to Provide proactive, application-level support to manage data workbench server clusters. Increase transparency and awareness of the server state in order to optimize scheduling and process capacity. Furnish stakeholders with improved SLA reporting and compliance. The data workbench Monitoring Profile uses native data workbench functionality to analyze and report the health of data workbench servers. It includes an application-level monitoring agent and several profiles that provide feedback detailing performance, capacity, and current status. The agent is invoked periodically (default is ten minutes) on each host running a data workbench server and captures performance data for both FSU (file system) and DPU (data processing) servers within the data workbench server cluster. The captured event data is then saved to a VSL file and read into data workbench profiles in real-time to generate Monitoring datasets. These profile-based and server-based profiles populate historical and real-time reports to view within data workbench Client and data workbench Report. In addition, if the agent identifies significant system errors, it will immediately deliver an to the administrator. Note: It is required that the Sensor and Monitoring profiles be set up on a separate non-production server or an internal FSU or DPU server running on another port. The Monitoring profile requires minimal processing and I/O capabilities. alert types DOWN data workbench server unresponsive
4 Data Workbench Monitoring Profile 4 CRITICAL data workbench component not OK WARNING Profile not accurate UP/OK Upon recovery the agent generates corresponding . Why is an agent required for monitoring data workbench? The data workbench Monitoring agent parses the Detailed Status page where some values are valid only under certain server "states" or conditions, which requires an agent to accurately determine the services running and the validity of capturing information during certain periods. For example, some values make sense to harvest only under certain conditions such as making sure not to estimate performance metrics during a fast merge or other times when data is being loaded and a query is not advised. Likewise, some values must be measured between polling times to accurately identify the elapsed time for a fast input or a fast merge. In addition, in an environment where there are many servers to monitor, a distributed polling scheme requires a guaranteed polling interval provided by an installed agent. Accommodating complex, reflexive logic for an data workbench server cluster requires a monitoring agent deployed on each server.
5 Installing the Monitoring Profile 5 Installing the Monitoring Profile Directions for installing the data workbench Monitoring Profile. Installation Steps Check the Installation Notes below for additional information when installing. 1. Configure a new Sensor instance as if it will be used for tagged web page data collection. Be sure the zig.gif file is in the Sensor web server document root. Sensor can be run on the same host as the monitor profiles. (This is not an issue if using a text file for this purpose.) Note: This Sensor instance must be dedicated to receiving only traffic from the Monitoring Agents. Also, the Sensor can be configured to run on a different port if you are re-purposing a web server for this collection. 2. In the txlogd.conf file there is the default line: ContentFilterExclude image/,text/css,application/x-javascript,text/javascript For the data workbench Monitoring Profile application (or any "tagged" page implementation), the image type has to be removed in order to collect via a GIF file. The updated line is: ContentFilterExclude text/css,application/x-javascript,text/javascript 3. Copy the insight_monitor.zip/insight_monitor_agent to a temporary location. 4. Update insight_monitor_agent.cfg file for your environment. Follow the comments inside the configuration file: The Monitoring configuration file: Define where you are collecting all information and provide URL address. This needs to be a dedicated sensor and should receive no traffic except for this application. There are paths assuming there is an e: disk. You may want to change this path for your environment. Sometime when running a Transform profile, data workbench can be unresponsive. This value lets you send an alert if three times in a row the process is unresponsive. This is a way of reducing false positive alerts. This is where you set the environment and group dimensions. This may be different from host to host. This is where you can see exactly what the monitor agent is doing by viewing error logs in this path.
6 Installing the Monitoring Profile 6 This is to use the temp db internally. It may be alerted when reaching capacity. This is different than physical disk usage. 5. Copy the insight_monitor_agent folder to each DPU and FSU host running the data workbench server. The default location as indicated in the configuration file is e:\insight_monitor_agent but you can change this location. 6. Add a Windows scheduled task to invoke the agent every 10 minutes (this period is assumed in the processing rate calculations). The program is e:insight_monitor/insight_monitor_agent.exe. The argument is config-file e:\insight_monitor\insight_monitor.cfg. Start in e:\insight_monitor. The user running executing the task must have permission to read/write e:\insight_monitor and read the Win32 OLE object root\cimv2 (required to ascertain the data workbench server service start mode and to check the percentage of space on local disks) 7. Confirm that the VSL file is starting to grow as monitor records accumulate. This will take some time as the traffic volume will be extremely low in a small installation (every 10 minutes the agent sends only one hit for the host-specific data, plus one hit per processing profile). 8. Unzip insight_monitor.zip\profiles\insight Historic to a temporary location. 9. Update host name in profile.cfg, dataset\cluster.cfg, and the dataset\segment export.cfg. 10. Update the files to the data workbench profiles directory. 11. Update log server and path in dataset\log processing.cfg to the location where the Sensor VSLs are accumulating. 12. [Optionally] do the same with the profiles Insight Profile Status and Insight Server Status. In addition, the status profiles should be reprocessed nightly with a trailing two day window. Add a Windows scheduled task: The program is e:\insight_monitor\insight_reprocess.exe. The argument is --profile-path="path TO PROFILES\insight profile status" --start-days-ago=2. Leave start in blank. Add another scheduled task for "insight server status". insight_reprocess.exe requires read/write access to log processing.cfg to update the start time. 13. In addition, the status profiles should be reprocessed nightly with a trailing two day window. Add a Windows scheduled task: The program is e:\insight_monitor\insight_reprocess.exe. The argument is --profile-path="path TO PROFILES\insight profile status" --start-days-ago=2. Leave start in blank. Add another scheduled task for "insight server status". insight_reprocess.exe requires read/write access to log processing.cfg to update the start time. Confirm that each profile is reading the monitor VSLs as they accumulate. Again, this will take some time probably hours because of the extremely low volume. Installation Notes Configuring the Monitoring Profile in a licensed test environment. The test environment package is included with your implementation of data workbench, allowing you to install and configure the application. If installing on a production FSU or DPU server, then you will need to configure the server to run on a separate port. Deploying a new Sensor specifically for the Monitoring Profile. You will need to install a new instance of Sensor to the server running the Monitoring Profile. This is in addition to the production instance of Sensor. (There is no additional charge for installing Sensor on either a production or non-production server specifically for the Monitoring Profile.) Disable the monitor agent during data workbench maintenance. To avoid polluting the uptime and performance metrics, you can set service start mode to manual for the service InsightServer (Omniture Insight Server). A handy PowerShell command is set-service -name insightserver -startuptype manual. Set it back to automatic after the maintenance: set-service -name insightserver -startuptype automatic. Another option is to temporarily disable the monitor agent scheduled task. The Status profiles need a trailing window to drop old hosts and profiles as well as old host-profile mappings. However, if the amount of event data is so small that data workbench won't buffer it in, then you may need to extend the size of the window quite a bit to get it to process. The agent collects the overall and oldest as-of time from data workbench detailed status, which is reported in local host time assuming the event data log time stamps are in UTC (as in VSL files). If the event data timestamps are in a non-utc
7 Installing the Monitoring Profile 7 time zone the as-of time will be offset in the resulting Insight Profile Status profile. If all of your event data time stamps are in the same time zone you can add that offset to Insight Profile Status\metrics\as of delay minutes.metric. Two new dimensions were introduced to help the customer group their servers if they are in different states, such as production, staging, testing servers, and servers in other states. For example if you are looking for "uptime", then you look at servers only in production mode. As a result, the Group dimension is just another way of arbitrarily grouping servers for your needs. For example, in themonitoring Configuration file you can set which host your department is servicing, such as Operations, Development, or Marketing.
8 Workspaces for Monitoring the Data Workbench Server 8 Workspaces for Monitoring the Data Workbench Server To successfully identify server health and performance, you can use standard data workbench profiles to monitor the server from the installed agent using current data, or employ profiles of historic data sets to view the impact of performance changes over time. The data workbench workspaces most commonly used include: Insight Historic workspace Insight Profile Status workspace Insight Server Status workspace To select a profile, open the drop-down menu from the upper-left corner of the data workbench Client interface. Data Workbench Historic workspace Use the data workbench Historic profile to see how configuration, hardware, and other changes impact performance, stability, and server capacity over time. The Historic profile includes a profile-based Profile Performance dataset and the server-based Server Performance dataset under the Performance tab. These are the most commonly used datasets viewed for a past perspective of the data workbench server performance. In addition, you can view the Components and Processing Mode by selecting the Up Time tab. In addition, you can view the Components and Processing Mode by selecting the Up Time tab.
9 Workspaces for Monitoring the Data Workbench Server 9 For additional reference information about the dimensions used in the data workbench Historic profile, see Dimensions in the Insight Historical profile. Profile Performance workspace This dataset includes the following relevant metrics for data workbench monitoring. Fast Input MegaBytes per Minute metrics displaying heavy data input during initial log processing. Fast Merge MegaBytes per Minute metrics displaying transformation. Note: To do a real performance assessment of your profile, look at rate rather than elapsed calendar time. The rate is measured as the changed values between polling every ten minutes. Server Performance workspace This dataset monitors server metrics beyond the scope of included profiles, and includes the following relevant server metrics for data workbench monitoring. Estimated Sweep Minutes Estimated query resolution time. Poll Latency Milliseconds Indicator of how busy software is by measuring how long it takes to get through a full cycle of servicing every component.
10 Workspaces for Monitoring the Data Workbench Server 10 Components workspace This dataset is located under the Up Time tab. The Components dataset includes two aspects for component health: Communications metric Did the data workbench server process respond? All Components metric At top of Detailed Status page is a list of components the host is servicing within the data workbench server processes. If any component is in an error state then it is listed under the Components in Error table.
11 Workspaces for Monitoring the Data Workbench Server 11 Processing Mode workspace This workspace is located under the Up Time tab. This workspace lets you observe how much time is taken in fast input, fast merge, and real-time modes. This dataset provides important server load characteristics, such as identifying data load for Day of the week (for example a Fast Input Rate on Tuesday and Wednesday), Hour of Day (what percentage of the day is it in Fast Input mode?) Data Workbench Profile Status workspace The data workbench Profile Status profile provides current information about the data workbench server health based on the profile rather than server metrics or historical data.
12 Workspaces for Monitoring the Data Workbench Server 12 Data Workbench Profile Status This status profile provides the data workbench server information that is current, but not quite real-time because the agent is polled every ten minutes and reporting always includes this ten-minute latency. More precisely, the datasets generated by this profile provide the latest observation of the server from the agent, which most often has a default polling period of ten minutes. For additional reference information about the dimensions used in the data workbench Profile Status profile, see Insight Profile Status profile. This report is more for monitoring operations rather than components or specific traffic fluctuations.
13 Workspaces for Monitoring the Data Workbench Server 13 This gives us a sense of who is in what mode: If we see a high Fast Input rate for a certain profile then that profile is in Fast Input mode. If the Stalled metric is 1, then the server is stalled. If the value is 0, then the server is not stalled. Log Reading for large batch loads Data Workbench Server Status workspace The data workbench Server Status profile provides current information about data workbench server health based on the server rather than profile metrics or historical data.
14 Workspaces for Monitoring the Data Workbench Server 14 General Status Open the General Status dataset view within the data workbench Server Status profile. For additional reference information about the dimensions used in the data workbench Server Status profile, see the Dimensions in the Insight Server Status profile profile. Disk Status View current disk usage including internal usage of temp.db.
15 Workspaces for Monitoring the Data Workbench Server 15
16 Data Workbench Profile Dimensions and Metrics 16 Data Workbench Profile Dimensions and Metrics This document describes the profiles with their fields, dimensions, and metrics employed by the data workbench Monitoring Profile. To monitor data workbench servers, data is collected using a script that parses the Detailed Status while also capturing specific server information. Data workbench server information is then passed to a page tag call for the data workbench Sensor to collect and save to a VSL file. Profiles Employed by the Data Workbench Monitoring Profile These profiles provide dimensions and metrics that allow you to view server state and performance data: Dimensions in the Data Workbench Profile Status profile Dimensions in the Data Workbench Server Status profile Dimensions in the Data Workbench Historic profile Metrics in the Data Workbench Historical Monitoring profile The Status profiles allow you to see how data workbench is currently performing from an operational perspective. The Profile Status profile and the Server Status profile gather data from the Detailed Status and the data workbench servers. All gathered data is placed into the cs-uri-query field for use. The Historic profiles allow you to assess the impact of configuration and hardware changes using historical data. The historical profile may be the most useful because it allows you to assess the impact of configuration and hardware changes over time. Dimensions in the Data Workbench Historic profile The following dimensions are available for use in the data workbench Historic profile. Dimensions in the Data Workbench Historic profile The following dimensions are available for use in the data workbench Historic profile. Block This is the only countable in this configuration, it is the root for all dimensions. A block can be considered a server. It is using the x-trackingid field. Note: The block ID is a hash of the server name plus host name, so there will be approximately one block per server per profile. Ping Alert Critical Alert Down Alert Warning This is a countable dimension built off of the Block countable. Each row of data in the profile is a ping from the monitoring agent. Numeric Dimension built from the cs-uri-query(ad) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1". Numeric Dimension built from cs-uri-query(ac) value. It is built at the Ping level, conditioned that cs-uri-query(a) matches "1". Numeric Dimension built from cs-uri-query(ae) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1".
17 Data Workbench Profile Dimensions and Metrics 17 Any Profile Reprocessing As of Delay Minutes Capacity Row Percentage Capacity Size Percentage Component Check Success Components in Error Detailed Check Seconds Detailed Check Success Dimension GigaBytes Disk "x" Used Percentage Estimated Sweep Dekaseconds Numeric Dimension built from cs-uri-query(aa) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1" and cs-uriquery(k) is not empty. cs-uri-query(bi) is placed into the x-as-of-delay-minutes field and rounded to the nearest minute. It is built at the Ping level conditioned that cs-uri-query(a) matches "1". Numeric Dimension built from cs-uri-query(r) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1" and cs-uriquery(k) is not empty. Numeric Dimension built from cs-uri-query(n) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1" and cs-uriquery(k) is not empty. Simple Dimension built from cs-uri-query(v) value. It is built at the Ping level, and conditioned that cs-uri-query(a) matches "1". cs-uri-query(ao) is split by the " " delimiter and copied into the x-components-in-error field. Many to Many Dimension built from the x-components-in-error field. Built at the Ping level. Numeric Dimension built from cs-uri-query(l) value. It is built at the Ping level conditioned that cs-uri-query(k) is not empty. Simple Dimension built from the cs-uri-query(k) value. It is built at the Ping level conditioned that cs-uri-query(a) matches "1". cs-uri-query(bc) is copied into the x-dimension-gigabytes field. The x-dimension-gigabytes field is user for this Simple Dimension, conditioned on cs-uri-query(a) matching "2". These Numeric Dimensions are configured from the cs-uri-query(ah, ai, aj, ak, al) values. They are built at the Ping level and conditioned on cs-uri-query(a) matches "1" and cs-uri-query(k) is not empty. The x-estimated-sweep-dekaseconds field is used in this Numeric Dimension. This is the estimated sweep time of the servers divided by ten (reduced resolution of sweep measurement to make dimension more reasonably sized). Fast Input MegaBytes per Minute The cs-uri-query(bj) value is used for this dimension. The Last Row for a block is used as the value for the dimension. If the dataset is in Fast Input this Numeric Dimension's value will display the MB per minute at which the system is inputting data. Fast Merge MegaBytes per Minute The cs-uri-query(bk) value is used for this dimension. The Last Row for a Block is used as the value for the dimension. If the dataset is in Fast Merge This Numeric Dimension's value will display the MB per minute at which the system is merging.
18 Data Workbench Profile Dimensions and Metrics 18 Field GigaBytes The cs-uri-query(bg) value is used for this dimension. The value is divided by 1000 and rounded to the nearest whole number. This Numeric Dimension's value will display the amount of space the Fields in the dataset are using. Group Host Last Ping Load Average Simple Dimension built at the Ping level from the cs-uri-query(x) value. The cs-uri-query(b) value is used for this dimension. The Simple dimension's value is the Last Row for a Block. the x-unixtime field is copied into x-last-ping and divided by 10 to reduce the cardinality. The Numeric Dimension is built at the Block level and uses the x-last-ping field. This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(i) value. It is conditioned on cs-uri-query(k) not being empty. This dimension is used to calculate the average load on the servers in the system being monitored. Log Reading Percentage the cs-uri-query(be) value is used for this numeric dimension, built at the Ping level. This dimension is used to calculate the percentage of logs being read. Memory Page File Percentage This is a Numeric dimension using cs-uri-query(o) value, built at the Ping level. It is conditioned on cs-uri-query(k) not being empty, and cs-uri-query(a) matching "1". This dimension is used to calculate the percent of page file memory usage. Memory Physical MegaBytes Total This is a Numeric dimension using the cs-uri-query(ag) value, built at the Ping level. It is conditioned on cs-uri-query(k) not being empty, and cs-uri-query(a) matching "1. Memory Physical Percentage This is a Numeric dimension using the cs-uri-query(ag) value, built at the Ping level. It is conditioned on cs-uri-query(k) not being empty, and cs-uri-query(a) matching "1. This dimension is used to calculate the percent of physical memory usage of each Server.
19 Data Workbench Profile Dimensions and Metrics 19 Memory Query Percentage This is a Numeric dimension using the cs-uri-query(s) value at the Ping level. It is conditioned on cs-uri-query(k) not being empty and cs-uri-query(a) matching "1. This dimension is used to calculate the percent of query memory usage of each Server. Network Connections This is a Numeric dimension using the cs-uri-query(q) value built at the Ping level. It is conditioned on cs-uri-query(k) not being empty and cs-uri-query(a) matching "1. This is used to show the number of network connections there are for a given server. Output Rows Ping Type ID Poll Latency Centiseconds cs-uri-query(bh) value is divided by and copied into the x-output-rows field to reduce the size of the dimension. X-output-rows is used in a Numeric Dimension built at the Ping level, conditioned that cs-uri-query(a) matches "2". Simple Dimension built using the cs-uri-query(a) value at the Ping level. This shows what kind of Ping was recorded. The cs-uri-query(m) value is divided by 10 to reduce dimension size, and copied into the x-poll-latency-centiseconds field. This is a Numeric dimension built at the Ping level, conditioned that cs-uri-query(k) is not empty, and cs-uri-query(a) matches "1"/ This dimension is used to calculate the poll latency. Processing Mode ID The cs-uri-query(bb) value is used for this Simple Dimension, built at the Ping level. It is conditioned that cs-uri-query(bb) is not empty, and that cs-uri-query(a) matches "2" Processing Mode ID allows one to see what mode of processing the system is in (Fast Input, Fast Merge, Real Time). Note: This dimension is hidden then re-exposed with friendly values in the client-side dimension Processing Mode. Profile Quick Check Seconds Quick Check Success Real Time Processing Percentage Source Furthest Behind The cs-uri-query(ba) value is used for this Simple Dimension, it is built at the Ping level. This dimension displays the name(s) of the profile(s) currently being monitored. The cs-uri-query(h) value is used for this Numeric Dimension. It is built at the Ping level conditioned that cs-uri-query(a) matches "1". This is a Simple dimension built from the cs-uri-query(g) value built at the Ping level. It is used to calculate the quick check metric. Numeric Dimension using the cs-uri-query(t) value built at the Ping level. It is conditioned that cs-uri-query(a) matches "1". Simple Dimension built from the cs-uri-query(bl) value built at the Ping level. This dimension displays the when the last contact with a data source occurred.
20 Data Workbench Profile Dimensions and Metrics 20 Temp DB Space Percentage Numeric Dimension built using the cs-uri-query(an) value, built at the Ping level. It is conditioned that cs-uri-query(k) is not empty, and cs-uri-query(a) matches "1". It is used to calculate the percentage of used Temp DB space on a given server. Transformation Percentage the cs-uri-query(bf) value is used for this numeric dimension. It is built at the Ping level. This dimension is used to calculate the percentage of complete data transformation. Data Workbench Version Data Workbench Version Major The cs-uri-query(ab) value is used for this Simple Dimension. It is built at the Ping level and conditioned that cs-uri-query(ab) is not empty, and cs-uri-query(a) matches "1". This displays the version(s) of data workbench server running on each server. The cs-uri-query(ab) value is split and the major release value is copied into the x-insight-version-major field. It is a Simple Dimension built at the Ping level and conditioned that x-insight-version-major is not empty, and cs-uri-query(a) matches "1". Dimensions in the Data Workbench Profile Status profile The following dimensions are available for use in the data workbench Profile Status profile. Block As of Delay Minutes Environment Fast Input MegaBytes per Minute This is the only countable in this configuration and exists as the root for all dimensions. A block can be considered a server. It is using the x-trackingid field. The block ID is a hash of the server name plus host name, so there will be approximately one block per server per profile. cs-uri-query(bi) is placed into the x-as-of-delay-minutes field and rounded to the nearest minute. As of Delay Minutes is a numeric dimension that takes the Last Row from x-as-of-delay-minutes for a block. The cs-uri-query(c) value is used for the Environment ID. The Last Row for a Block is used as the value for the dimension. This Simple Dimension will display the Environment in which your Servers are running (provided it is configured properly). This can be set in the insight_monitor_agent.cfg file The cs-uri-query(bj) value is used for this dimension. The Last Row for a block is used as the value for the dimension. If the dataset is in Fast Input this Numeric Dimension's value will display the MB per minute at which the system is inputting data. Fast Merge MegaBytes per Minute The cs-uri-query(bk) value is used for this dimension. The Last Row for a Block is used as the value for the dimension. If the dataset is in Fast Merge This Numeric Dimension's value will display the MB per minute at which the system is merging.
21 Data Workbench Profile Dimensions and Metrics 21 Field GigaBytes The cs-uri-query(bg) value is used for this dimension. The value is divided by 1000 and rounded to the nearest whole number. This Numeric Dimension's value will display the amount of space the Fields in the dataset are using. Host Last Ping The cs-uri-query(b) value is used for this dimension. The Simple dimension's value is the Last Row for a Block. x-last-ping is x-unixtime divide by 10 (to accommodate Numeric dimensions size constraints). Last Ping is the Last Row for a given Block, and it represents the last time the monitoring agent logged the system health. Log Reading Percentage the cs-uri-query(be) value is used for this numeric dimension. It is the Last Row for a given Block. This dimension is used to calculate the percentage of logs being read. Processing Mode ID The cs-uri-query(bb) value is used for this Simple Dimension. It the Last Row for a given Block. Processing Mode ID allows one to see what mode of processing the system is in (Fast Input, Fast Merge, Real Time). Note: This dimension is hidden then re-exposed with friendly values in the client-side dimension Processing Mode. Processing Stalled The x-processing-stalled field is created through various conditions to indicate whether the profile is currently running or not. It is a simple dimension. Note: This dimension works best when there are a large number of input logs to fairly distribute amongst the DPUs. If there is, for example, only one large file loaded per day, then data workbench can appear to "stall" for an hour or more resulting in a false positive reading from this dimension. Profile Source Furthest Behind Transformation Percentage The cs-uri-query(ba) value is used for this Simple Dimension. This dimension displays the name(s) of the profiles currently being monitored. The last row of cs-uri-query(bl) is copied into the x-source-furthest-behind field. The Simple Dimension uses the Last Row for a given Block. This dimension displays the when the last contact with a data source occurred. the cs-uri-query(bf) value is used for this numeric dimension. It is the Last Row for a given Block. This dimension is used to calculate the percentage of complete data transformation. Time Dimensions Hour, Day, Week, Month, Hour of Day, and Day of Week are all derived from the x-timestamp field.
22 Data Workbench Profile Dimensions and Metrics 22 Group Metrics As Of Delay Minutes As Of Delay Seconds Blocks Fast Input MB per Minute Fast Merge MB per Minute Field GigaBytes Last Ping Age Last Ping Time Log Reading Processing Stalled Transformation Grouping word that gives you another way to filter the resulting dataset. Set in the insight_monitor_agent.cfg file. The following lists the metrics included in the data workbench Profile Monitoring Profile and how they are derived. This metric is the sum of the As Of Delay Minutes for each Block, then divided by the Blocks metric. This metric is the sum of the As Of Delay Seconds for each Block, and divided by the total number of Blocks. (As of Delay Seconds Dimension not configured out of the box) Sum one for each Block. The sum of Fast Input MegaBytes per Minute for each Block divided by the number of Blocks when Fast Input MegaBytes per Minute is greater than zero. The sum of Fast Merge MegaBytes per Minute for each Block divided by the number of Blocks when Fast Merge MegaBytes per Minute is greater than zero. The sum of Field Gigabytes for each Block divided by Blocks metric. The As Of Time minus Last Ping Time. The sum of Last Ping for each Block divided by Blocks, then multiplied by 10. Where Log Reading Percentage is greater than zero, Log Reading is the sum of Log Reading Percentage for each Block, divided by Blocks metric, all of which is divided by 10. The sum of the Processing Stalled Dimension for each Block, divided by the Blocks metric. The sum of Transformation Percentage for each Block divided by the Blocks metric, when Transformation Percentage is greater than zero, all divided by 10. Dimensions in the Data Workbench Server Status profile The following dimensions are available for use in the data workbench Server Status profile. Server Agent Version Any Profile Reprocessing Capacity Row Percentage Capacity Size Percentage Common Name Built from the x-trackingid field, this countable dimension represents the Servers currently running data workbench. The cs-uri-query(af) value is used for this Simple Dimension. It is the Last Nonblank value for a Server. This displays the build date and time for the version(s) of the monitoring agent running. The cs-uri-query(aa) field is used for this Numeric Dimension, it is the value of the Last Row for a given Server, conditional on cs-uri-query(k) is not empty. This dimension is used to indicate if any profiles are Reprocessing. The cs-uri-query(r) field is used for this Numeric Dimension, it is the value of the Last Row for a given Server, conditional on cs-uri-query(k) is not empty. The cs-uri-query(n) field is used for this Numeric Dimension, it is the value of the Last Row for a given Server, conditional on cs-uri-query(k) is not empty. The sc-ur-query(am) field is used for this Simple Dimension, it is the value of the Last Nonblank value for a given Server. It displays the Common Name of the servers being monitored.
23 Data Workbench Profile Dimensions and Metrics 23 Component Check Success Components in Error Environment The cs-uri-query(v) field is used for this Simple Dimension, it is the value of the Last Row for a given Server. This dimension checks on the components of the server to verify they are properly functioning. A Crossrows transformation takes the Last Row value of the cs-uri-query(ao) and copies it into the x-components-in-error field. This Many to Many dimension displays any components in error on servers being monitored. The cs-uri-query(c) value is used for the Environment ID. The Last Row for a Block is used as the value for the dimension. This Simple Dimension will display the Environment in which your Servers are running (provided it is configured properly). Note: This dimension is set in insight_monitor_agent.cfg. Estimated Sweep Dekaseconds The x-estimated-sweep-dekaseconds field is used in this Numeric Dimension. This is the estimated sweep time of the servers divided by ten (reduced resolution of sweep measurement to make dimension more reasonably sized). Host Last Ping Load Average The cs-uri-query(b) value is used for this dimension. The Simple dimension's value is the Last Row for a Block. x-last-ping is x-unixtime divide by 10 (to accommodate Numeric dimensions size constraints). Last Ping is the Last Row for a given Block, and it represents the last time the monitoring agent logged the system health. This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(i) value. It is conditioned on cs-uri-query(k) not being empty. This dimension is used to calculate the average load on the servers in the system being monitored. Memory Page File Percentage This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(o) value. It is conditioned on cs-uri-query(k) not being empty. This dimension is used to calculate the percent of page file memory usage. Memory Physical MegaBytes Total This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(ag) value. It is conditioned on cs-uri-query(k) not being empty.
24 Data Workbench Profile Dimensions and Metrics 24 Memory Physical Percentage This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(ag) value. It is conditioned on cs-uri-query(k) not being empty. This dimension is used to calculate the percent of physical memory usage of each Server. Memory Query Percentage This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(s) value. It is conditioned on cs-uri-query(k) not being empty. This dimension is used to calculate the percent of query memory usage of each Server. Network Connections This is a Numeric dimension using the Last Row for a given Server's cs-uri-query(q) value. It is conditioned on cs-uri-query(k) not being empty. This is used to show the number of network connections there are for a given server. Poll Latency Centiseconds This dimension is used to calculate the poll latency. The cs-uri-query(m) value is divided by 10 to reduce dimension size, and copied into the x-poll-latency-centiseconds field. This is a Numeric dimension which takes the Last Row for a given server. Quick Check Success Temp DB Space Percentage This is a Simple dimension built from the cs-uri-query(g) value of the Last Row for a given Server. It is used to calculate the quick check metric. The last row of the cs-uri-query(an) value is copied into the x-temp-db-space-percentage field. This is a Numeric Dimension that is used to calculate the percentage of used Temp DB space on a given server. Insight Version Group The cs-uri-query(ab) value is used for this Simple Dimension. It is the Last Nonblank value for a Server. This displays the version(s) of data workbench server running on each server. Grouping word that gives you another way to filter the resulting dataset. Note: This dimension is set in insight_monitor_agent.cfg. Metrics Capacity Overall Capacity Row The following lists the metrics included in the data workbench Profile Monitoring Profile and how they are derived. This is the Capacity Size metric times two plus the Capacity Row metric divided by 3. This is the sum of the Capacity Row Percentage for each Server divided by Servers metric.
25 Data Workbench Profile Dimensions and Metrics 25 Capacity Size Component Check Disk "x" Estimated Sweep Minutes Last Ping Time Load Memory Page File Memory Physical Memory Query Network Connections Poll Latency Milliseconds Quick Check Servers Temp DB This is the sum of the Capacity Size Percentage for each Server divided by the Servers metric. This is the number of Servers where Component Check Success equals one, divided by the Server where Service is DPU or FSU, all multiplied by 100 (to make it a percentage). The Disk metrics are calculated by taking the sum of their Disk Used Percentage for each Server, divided by the Servers metric. This is the sum of the Estimated Sweep Dekaseconds for each Server, divided by the Servers metric where Estimated Sweep Dekaseconds is greater than zero, all divided by 6. The sum of Last Ping for each Block divided by Blocks, then multiplied by 10. This is the sum of the Load Average for each Server, divided by the Servers metric. This is the sum of the Memory Page File Percentage for each Server, divided by the Servers metric. This is the sum of the Memory Physical Percentage for each Server, divided by the Servers metric. This is the sum of the Memory Query Percentage for each Server, divided by the Servers metric. This is the sum of the Network Connections for each Server divided by the Servers metric. This is the sum of the Poll Latency Centiseconds for each Server, divided by the Servers metric, all of which is multiplied by 10. This is the number of Servers where Quick Check Success equals one, divided by the Servers metric, all of which is multiplied by 100. This is the sum of one for each Server, or the total number of monitored Servers. This is the sum of the Temp DB Space Percentage for each Server, divided by the Servers metric. Metrics in the Data Workbench Historical Monitoring profile The following lists the metrics included in the data workbench Historical Monitoring Profile and how they are derived. Alert Criticals Alert Downs Alert Warnings All Components As Of Delay Minutes The sum of the Alert Critical dimension for each Ping. The sum of the Alert Down dimension for each Ping. The sum of the Alert Warning dimension for each Ping. The count of Pings where Component Check Success equals "1" divided by the Pings metric multiplied by 100. This metric is the sum of the As Of Delay Minutes for each Ping, then divided by the Pings metric.
26 Data Workbench Profile Dimensions and Metrics 26 Blocks Block All Capacity Overall Capacity Row Capacity Size Communications Detailed Check Seconds Dimension GigaBytes Disk "x" Estimated Sweep Minutes Fast Input MB per Minute Fast Input Mode Fast Merge MegaBytes per Minute Fast Merge Mode Field GigaBytes Load Log Reading Memory Page Memory Physical Memory Query Memory Total GB Network Connections Pings x Capacity Overall Poll Latency Milliseconds The sum of one for each Block. All Blocks. The Capacity Size Metric times 2 plus the Capacity Row metric, divided by 3. The sum of the Capacity Row Percentage dimension for each Ping divided by the Pings metric. The sum of the Capacity Size Percentage dimension for each Ping, divided by the Pings metric. The number of Pings where Quick Check Success matches "1", divided by the Pings metric. The sum of the Detailed Check Seconds dimension for each Ping where the ping type is "server", divided by the Pings metric. The sum of Dimension Gigabytes for each Ping, divided by the Pings metric. The Disk metrics are calculated by taking the sum of their Disk Used Percentage for each Ping, divided by the Pings metric. This is the sum of the Estimated Sweep Dekaseconds for each Ping, divided by the Pings metric where Estimated Sweep Dekaseconds is greater than zero, all divided by 6. The sum of Fast Input MegaBytes per Minute for each Ping divided by the number of Pings when Fast Input MegaBytes per Minute is greater than zero. Pings where Processing Mode dimension is equal to "Fast input" divided by Pings. The sum of Fast Merge Megabytes per Minute for each Ping, divided by Pings metric. Pings where Processing Mode equals "fast merge" divided by the Pings metric. The sum of Field Gigabytes dimension for each Ping divided by Pings metric. The sum of the Load Average dimension for each Ping, divided by the Pings metric. The sum of Log Reading Processing dimension for each Ping, divided by the Pings metric, all divided by 10. The sum of Memory Page File Percentage for each Ping, divided by the Pings metric. The sum of the Memory Physical Percentage dimension for each Ping, divided by the Pings metric. The sum of the Memory Query Percentage for each Ping, divided by the Pings metric. The sum of Memory Physical MegaBytes Total dimension for each Ping, divided by the Pings metric. This is the sum of the Network Connections for each Ping divided by the Pings metric. The Pings metric multiplied by the Capacity Overall metric. The sum of the Poll Latency Centiseconds dimension for each Ping, divided by the Pings metric, all multiplied by 10.
27 Data Workbench Profile Dimensions and Metrics 27 Query Running Quick Check Seconds Output Rows Real Time Mode Reprocessing Mode Stalled Temp DB Transformation The sum of one for each Ping where Estimated Sweep Dekaseconds is greater than "0", divided by the Pings metric where Ping Type equals "server". The sum of Quick Check Seconds for each Ping where Ping Type is equal to "server", divided by the Pings metric. The sum of Output Rows dimension for each ping divided by the Pings metric, multiplied by The number of Pings where Processing Mode dimension equals "real time", divided by the Pings metric, all multiplied by minus the number of Pings where Processing Mode equals "real time" divided by the Pings metric, multiplied by 100. The sum of the Processing Stalled dimension in the Insight Profile Status profile. The sum of Temp DB Space Percentage for each Ping, divided by the Pings metric. The sum of Transformation Percentage for each Ping divided by the Pings metric all divided by 10.
Monitoring Oracle Enterprise Performance Management System Release 11.1.2.3 Deployments from Oracle Enterprise Manager 12c
Monitoring Oracle Enterprise Performance Management System Release 11.1.2.3 Deployments from Oracle Enterprise Manager 12c This document describes how to set up Oracle Enterprise Manager 12c to monitor
More informationDMS Performance Tuning Guide for SQL Server
DMS Performance Tuning Guide for SQL Server Rev: February 13, 2014 Sitecore CMS 6.5 DMS Performance Tuning Guide for SQL Server A system administrator's guide to optimizing the performance of Sitecore
More informationCitrix EdgeSight Administrator s Guide. Citrix EdgeSight for Endpoints 5.3 Citrix EdgeSight for XenApp 5.3
Citrix EdgeSight Administrator s Guide Citrix EdgeSight for Endpoints 5.3 Citrix EdgeSight for enapp 5.3 Copyright and Trademark Notice Use of the product documented in this guide is subject to your prior
More informationPreparing a SQL Server for EmpowerID installation
Preparing a SQL Server for EmpowerID installation By: Jamis Eichenauer Last Updated: October 7, 2014 Contents Hardware preparation... 3 Software preparation... 3 SQL Server preparation... 4 Full-Text Search
More informationSQL Server Solutions GETTING STARTED WITH. SQL Safe Backup
SQL Server Solutions GETTING STARTED WITH SQL Safe Backup Purpose of this document Due to its depth and potential for customization, there are often parts of SQL Safe Backup that are overlooked during
More informationHow to use the VMware Workstation / Player to create an ISaGRAF (Ver. 3.55) development environment?
Author Janice Hong Version 1.0.0 Date Mar. 2014 Page 1/56 How to use the VMware Workstation / Player to create an ISaGRAF (Ver. 3.55) development environment? Application Note The 32-bit operating system
More informationDocAve 6 SQL Server Data Manager
DocAve 6 SQL Server Data Manager User Guide Service Pack 6, Cumulative Update 1 Issued December 2015 1 Table of Contents What s New in this Guide... 4 About DocAve SQL Server Data Manager... 5 Complementary
More informationvcenter Operations Management Pack for SAP HANA Installation and Configuration Guide
vcenter Operations Management Pack for SAP HANA Installation and Configuration Guide This document supports the version of each product listed and supports all subsequent versions until a new edition replaces
More informationGoGrid Implement.com Configuring a SQL Server 2012 AlwaysOn Cluster
GoGrid Implement.com Configuring a SQL Server 2012 AlwaysOn Cluster Overview This documents the SQL Server 2012 Disaster Recovery design and deployment, calling out best practices and concerns from the
More informationThere are numerous ways to access monitors:
Remote Monitors REMOTE MONITORS... 1 Overview... 1 Accessing Monitors... 1 Creating Monitors... 2 Monitor Wizard Options... 11 Editing the Monitor Configuration... 14 Status... 15 Location... 17 Alerting...
More informationSnow Inventory. Installing and Evaluating
Snow Inventory Installing and Evaluating Snow Software AB 2002 Table of Contents Introduction...3 1. Evaluate Requirements...3 2. Download Software...3 3. Obtain License Key...4 4. Install Snow Inventory
More informationSQL Server Replication Guide
SQL Server Replication Guide Rev: 2013-08-08 Sitecore CMS 6.3 and Later SQL Server Replication Guide Table of Contents Chapter 1 SQL Server Replication Guide... 3 1.1 SQL Server Replication Overview...
More informationInformatica Corporation Proactive Monitoring for PowerCenter Operations Version 3.0 Release Notes May 2014
Contents Informatica Corporation Proactive Monitoring for PowerCenter Operations Version 3.0 Release Notes May 2014 Copyright (c) 2012-2014 Informatica Corporation. All rights reserved. Installation...
More informationOne of the database administrators
THE ESSENTIAL GUIDE TO Database Monitoring By Michael Otey SPONSORED BY One of the database administrators (DBAs) most important jobs is to keep the database running smoothly, which includes quickly troubleshooting
More informationMyOra 3.0. User Guide. SQL Tool for Oracle. Jayam Systems, LLC
MyOra 3.0 SQL Tool for Oracle User Guide Jayam Systems, LLC Contents Features... 4 Connecting to the Database... 5 Login... 5 Login History... 6 Connection Indicator... 6 Closing the Connection... 7 SQL
More information5nine Cloud Monitor for Hyper-V
5nine Cloud Monitor for Hyper-V Getting Started Guide Table of Contents System Requirements... 2 Installation... 3 Getting Started... 8 Settings... 9 Authentication... 9 5nine Cloud Monitor for Hyper-V
More informationWhatsUp Gold v11 Features Overview
WhatsUp Gold v11 Features Overview This guide provides an overview of the core functionality of WhatsUp Gold v11, and introduces interesting features and processes that help users maximize productivity
More informationMonitoring PostgreSQL database with Verax NMS
Monitoring PostgreSQL database with Verax NMS Table of contents Abstract... 3 1. Adding PostgreSQL database to device inventory... 4 2. Adding sensors for PostgreSQL database... 7 3. Adding performance
More informationViewing and Troubleshooting Perfmon Logs
CHAPTER 7 To view perfmon logs, you can download the logs or view them locally. This chapter contains information on the following topics: Viewing Perfmon Log Files, page 7-1 Working with Troubleshooting
More informationIBM Tivoli Composite Application Manager for Microsoft Applications: Microsoft Hyper-V Server Agent Version 6.3.1 Fix Pack 2.
IBM Tivoli Composite Application Manager for Microsoft Applications: Microsoft Hyper-V Server Agent Version 6.3.1 Fix Pack 2 Reference IBM Tivoli Composite Application Manager for Microsoft Applications:
More informationUsing Logon Agent for Transparent User Identification
Using Logon Agent for Transparent User Identification Websense Logon Agent (also called Authentication Server) identifies users in real time, as they log on to domains. Logon Agent works with the Websense
More informationIntellicus Cluster and Load Balancing- Linux. Version: 7.3
Intellicus Cluster and Load Balancing- Linux Version: 7.3 Copyright 2015 Intellicus Technologies This document and its content is copyrighted material of Intellicus Technologies. The content may not be
More informationSetting up an MS SQL Server for IGSS
Setting up an MS SQL Server for IGSS Table of Contents Table of Contents...1 Introduction... 2 The Microsoft SQL Server database...2 Setting up an MS SQL Server...3 Installing the MS SQL Server software...3
More informationCoCreate Manager Server Installation Guide. CoCreate Manager Server Installation Guide 1
CoCreate Manager Server Installation Guide CoCreate Manager Server Installation Guide 1 CoCreate Manager Server Installation Guide 2 Table Of Contents 1. CoCreate Manager Server 2008 4 1.1. Installation
More informationUsage Analysis Tools in SharePoint Products and Technologies
Usage Analysis Tools in SharePoint Products and Technologies Date published: June 9, 2004 Summary: Usage analysis allows you to track how websites on your server are being used. The Internet Information
More informationIntellicus Cluster and Load Balancing (Windows) Version: 7.3
Intellicus Cluster and Load Balancing (Windows) Version: 7.3 Copyright 2015 Intellicus Technologies This document and its content is copyrighted material of Intellicus Technologies. The content may not
More informationHow To Set Up An Intellicus Cluster Server On Ubuntu 8.5.2 (Amd64) With A Powerup.Org (Amd86) And Powerup (Amd76) (Amd85) (Powerup) (Net
Intellicus Cluster and Load Balancing (Linux) Intellicus Web-based Reporting Suite Intellicus Technologies info@intellicus.com www.intellicus.com Copyright 2014 Intellicus Technologies This document and
More informationIntellicus Web-based Reporting Suite
Intellicus Cluster and Load Balancing (Linux) Intellicus Web-based Reporting Suite Intellicus Technologies info@intellicus.com www.intellicus.com Copyright 2014 Intellicus Technologies This document and
More informationPROMODAG REPORTS 10 FOR MICROSOFT EXCHANGE SERVER. Reporting on Exchange made simple! Getting started
PROMODAG REPORTS 10 FOR MICROSOFT EXCHANGE SERVER Reporting on Exchange made simple! Getting started 2 Getting started with PROMODAG Reports COPYRIGHTS Copyright @ 1999-2015 PROMODAG SA. All rights reserved.
More informationHow To Use A Microsoft Microsoft Database Server 2012
OFFICIAL MICROSOFT LEARNING PRODUCT 10775A Lab Instructions and Lab Answer Key: Administering Microsoft SQL Server 2012 Database Information in this document, including URL and other Internet Web site
More informationMonitoring Replication
Monitoring Replication Article 1130112-02 Contents Summary... 3 Monitor Replicator Page... 3 Summary... 3 Status... 3 System Health... 4 Replicator Configuration... 5 Replicator Health... 6 Local Package
More informationBest practices for operational excellence (SharePoint Server 2010)
Best practices for operational excellence (SharePoint Server 2010) Published: May 12, 2011 Microsoft SharePoint Server 2010 is used for a broad set of applications and solutions, either stand-alone or
More informationHDA Integration Guide. Help Desk Authority 9.0
HDA Integration Guide Help Desk Authority 9.0 2011ScriptLogic Corporation ALL RIGHTS RESERVED. ScriptLogic, the ScriptLogic logo and Point,Click,Done! are trademarks and registered trademarks of ScriptLogic
More informationHow To Set Up An Intellicus Cluster And Load Balancing On Ubuntu 8.1.2.2 (Windows) With A Cluster And Report Server (Windows And Ubuntu) On A Server (Amd64) On An Ubuntu Server
Intellicus Cluster and Load Balancing (Windows) Intellicus Enterprise Reporting and BI Platform Intellicus Technologies info@intellicus.com www.intellicus.com Copyright 2014 Intellicus Technologies This
More informationTable of Contents. CHAPTER 1 About This Guide... 9. CHAPTER 2 Introduction... 11. CHAPTER 3 Database Backup and Restoration... 15
Table of Contents CHAPTER 1 About This Guide......................... 9 The Installation Guides....................................... 10 CHAPTER 2 Introduction............................ 11 Required
More informationNetwrix Auditor for Exchange
Netwrix Auditor for Exchange Quick-Start Guide Version: 8.0 4/22/2016 Legal Notice The information in this publication is furnished for information use only, and does not constitute a commitment from Netwrix
More informationUniversal Simple Control, USC-1
Universal Simple Control, USC-1 Data and Event Logging with the USB Flash Drive DATA-PAK The USC-1 universal simple voltage regulator control uses a flash drive to store data. Then a propriety Data and
More informationDiskPulse DISK CHANGE MONITOR
DiskPulse DISK CHANGE MONITOR User Manual Version 7.9 Oct 2015 www.diskpulse.com info@flexense.com 1 1 DiskPulse Overview...3 2 DiskPulse Product Versions...5 3 Using Desktop Product Version...6 3.1 Product
More information...2. Standard Installation...4. Example Installation Scenarios...5. Network Installation...8. Advanced Settings...10. Product Requirements
...2. Standard Installation...4. Example Installation Scenarios...5. Network Installation...8. Advanced Settings...10. Product Requirements ProjectMatrix 1 Standard Installation Install ProjectNotify from
More informationMonitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9. Reference IBM
Monitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9 Reference IBM Monitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9 Reference IBM Note Before using this information and the product
More informationTIBCO Spotfire Metrics Modeler User s Guide. Software Release 6.0 November 2013
TIBCO Spotfire Metrics Modeler User s Guide Software Release 6.0 November 2013 Important Information SOME TIBCO SOFTWARE EMBEDS OR BUNDLES OTHER TIBCO SOFTWARE. USE OF SUCH EMBEDDED OR BUNDLED TIBCO SOFTWARE
More informationPublished. Technical Bulletin: Use and Configuration of Quanterix Database Backup Scripts 1. PURPOSE 2. REFERENCES 3.
Technical Bulletin: Use and Configuration of Quanterix Database Document No: Page 1 of 11 1. PURPOSE Quanterix can provide a set of scripts that can be used to perform full database backups, partial database
More informationDatabase Administration
Unified CCE, page 1 Historical Data, page 2 Tool, page 3 Database Sizing Estimator Tool, page 11 Administration & Data Server with Historical Data Server Setup, page 14 Database Size Monitoring, page 15
More informationCA Nimsoft Monitor. Probe Guide for IIS Server Monitoring. iis v1.5 series
CA Nimsoft Monitor Probe Guide for IIS Server Monitoring iis v1.5 series Legal Notices Copyright 2013, CA. All rights reserved. Warranty The material contained in this document is provided "as is," and
More informationWeb Server (Step 1) Processes request and sends query to SQL server via ADO/OLEDB. Web Server (Step 2) Creates HTML page dynamically from record set
Dawn CF Performance Considerations Dawn CF key processes Request (http) Web Server (Step 1) Processes request and sends query to SQL server via ADO/OLEDB. Query (SQL) SQL Server Queries Database & returns
More informationHPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team
HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team Copyright 2015 HPCC Systems. All rights reserved
More informationNetwrix Auditor for SQL Server
Netwrix Auditor for SQL Server Quick-Start Guide Version: 7.1 10/26/2015 Legal Notice The information in this publication is furnished for information use only, and does not constitute a commitment from
More informationInstall SQL Server 2014 Express Edition
How To Install SQL Server 2014 Express Edition Updated: 2/4/2016 2016 Shelby Systems, Inc. All Rights Reserved Other brand and product names are trademarks or registered trademarks of the respective holders.
More informationDeploying System Center 2012 R2 Configuration Manager
Deploying System Center 2012 R2 Configuration Manager This document is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED, OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT.
More informationDatabase Maintenance Guide
Database Maintenance Guide Medtech Evolution - Document Version 5 Last Modified on: February 26th 2015 (February 2015) This documentation contains important information for all Medtech Evolution users
More informationERserver. iseries. Work management
ERserver iseries Work management ERserver iseries Work management Copyright International Business Machines Corporation 1998, 2002. All rights reserved. US Government Users Restricted Rights Use, duplication
More informationVX Search File Search Solution. VX Search FILE SEARCH SOLUTION. User Manual. Version 8.2. Jan 2016. www.vxsearch.com info@flexense.com. Flexense Ltd.
VX Search FILE SEARCH SOLUTION User Manual Version 8.2 Jan 2016 www.vxsearch.com info@flexense.com 1 1 Product Overview...4 2 VX Search Product Versions...8 3 Using Desktop Product Versions...9 3.1 Product
More informationUnderstanding Task Scheduler FIGURE 33.14. Task Scheduler. The error reporting screen.
1383 FIGURE.14 The error reporting screen. curring tasks into a central location, administrators gain insight into system functionality and control over their Windows Server 2008 R2 infrastructure through
More informationCentran Version 4 Getting Started Guide KABA MAS. Table Of Contents
Page 1 Centran Version 4 Getting Started Guide KABA MAS Kaba Mas Welcome Kaba Mas, part of the world-wide Kaba group, is the world's leading manufacturer and supplier of high security, electronic safe
More informationQuick Start SAP Sybase IQ 16.0
Quick Start SAP Sybase IQ 16.0 UNIX/Linux DOCUMENT ID: DC01687-01-1600-01 LAST REVISED: February 2013 Copyright 2013 by Sybase, Inc. All rights reserved. This publication pertains to Sybase software and
More informationHP Server Management Packs for Microsoft System Center Essentials User Guide
HP Server Management Packs for Microsoft System Center Essentials User Guide Part Number 460344-001 September 2007 (First Edition) Copyright 2007 Hewlett-Packard Development Company, L.P. The information
More informationDiskBoss. File & Disk Manager. Version 2.0. Dec 2011. Flexense Ltd. www.flexense.com info@flexense.com. File Integrity Monitor
DiskBoss File & Disk Manager File Integrity Monitor Version 2.0 Dec 2011 www.flexense.com info@flexense.com 1 Product Overview DiskBoss is an automated, rule-based file and disk manager allowing one to
More informationQuick Start Guide. Ignite for SQL Server. www.confio.com. Confio Software 4772 Walnut Street, Suite 100 Boulder, CO 80301 866.CONFIO.
Quick Start Guide Ignite for SQL Server 4772 Walnut Street, Suite 100 Boulder, CO 80301 866.CONFIO.1 www.confio.com Introduction Confio Ignite gives DBAs the ability to quickly answer critical performance
More informationWebsense Support Webinar: Questions and Answers
Websense Support Webinar: Questions and Answers Configuring Websense Web Security v7 with Your Directory Service Can updating to Native Mode from Active Directory (AD) Mixed Mode affect transparent user
More informationAsset Inventory Reference
www.novell.com/documentation Asset Inventory Reference ZENworks 11 Support Pack 3 July 2014 Legal Notices Novell, Inc., makes no representations or warranties with respect to the contents or use of this
More informationMyOra 3.5. User Guide. SQL Tool for Oracle. Kris Murthy
MyOra 3.5 SQL Tool for Oracle User Guide Kris Murthy Contents Features... 4 Connecting to the Database... 5 Login... 5 Login History... 6 Connection Indicator... 6 Closing the Connection... 7 SQL Editor...
More informationHealthstone Monitoring System
Healthstone Monitoring System Patrick Lambert v1.1.0 Healthstone Monitoring System 1 Contents 1 Introduction 2 2 Windows client 2 2.1 Installation.............................................. 2 2.2 Troubleshooting...........................................
More informationNetwrix Auditor for SQL Server
Netwrix Auditor for SQL Server Quick-Start Guide Version: 8.0 4/22/2016 Legal Notice The information in this publication is furnished for information use only, and does not constitute a commitment from
More informationHow To Install An Aneka Cloud On A Windows 7 Computer (For Free)
MANJRASOFT PTY LTD Aneka 3.0 Manjrasoft 5/13/2013 This document describes in detail the steps involved in installing and configuring an Aneka Cloud. It covers the prerequisites for the installation, the
More informationNovell ZENworks Asset Management 7.5
Novell ZENworks Asset Management 7.5 w w w. n o v e l l. c o m October 2006 USING THE WEB CONSOLE Table Of Contents Getting Started with ZENworks Asset Management Web Console... 1 How to Get Started...
More informationvrealize Operations Manager Customization and Administration Guide
vrealize Operations Manager Customization and Administration Guide vrealize Operations Manager 6.0.1 This document supports the version of each product listed and supports all subsequent versions until
More informationMaximizing Performance for Oracle Database 12c using Oracle Enterprise Manager
Maximizing Performance for Oracle Database 12c using Oracle Enterprise Manager Björn Bolltoft Principal Product Manager Database manageability Table of Contents Database Performance Management... 3 A.
More informationLoad Manager Administrator s Guide For other guides in this document set, go to the Document Center
Load Manager Administrator s Guide For other guides in this document set, go to the Document Center Load Manager for Citrix Presentation Server Citrix Presentation Server 4.5 for Windows Citrix Access
More informationThis article Includes:
Log shipping has been a mechanism for maintaining a warm standby server for years. Though SQL Server supported log shipping with SQL Server 2000 as a part of DB Maintenance Plan, it has become a built-in
More informationAnalyzing Call Signaling
The Call Signaling Analyzer enables you to isolate faults in calls in your deployment. Call Signaling Analyzer analyzes calls at a high level and then drills down to a lower level within the components
More informationUsing HP Systems Insight Manager to achieve high availability for Microsoft Team Foundation Server
Using HP Systems Insight Manager to achieve high availability for Microsoft Team Foundation Server Executive summary... 2 Audience... 2 Architecture... 3 Prerequisite... 4 Deploying AT servers... 5 Configuring
More informationEqualizer VLB Beta I. Copyright 2008 Equalizer VLB Beta I 1 Coyote Point Systems Inc.
Equalizer VLB Beta I Please read these instructions completely before you install and configure Equalizer VLB. After installation, see the Help menu for Release Notes and the Installation and Administration
More informationWharf T&T Cloud Backup Service User & Installation Guide
Wharf T&T Cloud Backup Service User & Installation Guide Version 1.6 Feb 2013 Table of contents BEFORE YOU INSTALL 3 Page Section 1. Installation of Client Software 5 Section 2. Account Activation 8 Section
More informationSOA Software: Troubleshooting Guide for Agents
SOA Software: Troubleshooting Guide for Agents SOA Software Troubleshooting Guide for Agents 1.1 October, 2013 Copyright Copyright 2013 SOA Software, Inc. All rights reserved. Trademarks SOA Software,
More informationSysPatrol - Server Security Monitor
SysPatrol Server Security Monitor User Manual Version 2.2 Sep 2013 www.flexense.com www.syspatrol.com 1 Product Overview SysPatrol is a server security monitoring solution allowing one to monitor one or
More informationConfiguring IPS High Bandwidth Using EtherChannel Load Balancing
Configuring IPS High Bandwidth Using EtherChannel Load Balancing This guide helps you to understand and deploy the high bandwidth features available with IPS v5.1 when used in conjunction with the EtherChannel
More informationWebSphere Application Server security auditing
Copyright IBM Corporation 2008 All rights reserved IBM WebSphere Application Server V7 LAB EXERCISE WebSphere Application Server security auditing What this exercise is about... 1 Lab requirements... 1
More informationUser's Guide - Beta 1 Draft
IBM Tivoli Composite Application Manager for Microsoft Applications: Microsoft Hyper-V Server Agent vnext User's Guide - Beta 1 Draft SC27-2319-05 IBM Tivoli Composite Application Manager for Microsoft
More informationHP Intelligent Management Center v7.1 Virtualization Monitor Administrator Guide
HP Intelligent Management Center v7.1 Virtualization Monitor Administrator Guide Abstract This guide describes the Virtualization Monitor (vmon), an add-on service module of the HP Intelligent Management
More informationSQL Server Database Administrator s Guide
SQL Server Database Administrator s Guide Copyright 2011 Sophos Limited. All rights reserved. No part of this publication may be reproduced, stored in retrieval system, or transmitted, in any form or by
More informationInstalling and Configuring vcenter Support Assistant
Installing and Configuring vcenter Support Assistant vcenter Support Assistant 5.5 This document supports the version of each product listed and supports all subsequent versions until the document is replaced
More informationMonitoring Agent for PostgreSQL 1.0.0 Fix Pack 10. Reference IBM
Monitoring Agent for PostgreSQL 1.0.0 Fix Pack 10 Reference IBM Monitoring Agent for PostgreSQL 1.0.0 Fix Pack 10 Reference IBM Note Before using this information and the product it supports, read the
More informationhttp://docs.trendmicro.com
Trend Micro Incorporated reserves the right to make changes to this document and to the products described herein without notice. Before installing and using the product, please review the readme files,
More informationHP LeftHand SAN Solutions
HP LeftHand SAN Solutions Support Document Application Notes Best Practices for Using PRTG Traffic Grapher to Monitor SANiQ Performance Legal Notices Warranty The only warranties for HP products and services
More informationOnline Backup Client User Manual Linux
Online Backup Client User Manual Linux 1. Product Information Product: Online Backup Client for Linux Version: 4.1.7 1.1 System Requirements Operating System Linux (RedHat, SuSE, Debian and Debian based
More informationUptime Infrastructure Monitor. Installation Guide
Uptime Infrastructure Monitor Installation Guide This guide will walk through each step of installation for Uptime Infrastructure Monitor software on a Windows server. Uptime Infrastructure Monitor is
More informationNet Services: File System Monitor
Net Services: File System Monitor Settings for ExtremeZ-IP file server volumes...1 Setup of the Net Services server...2 Configuring and testing the Net Services server...3 Installing File System Monitor...4
More informationUser's Guide - Beta 1 Draft
IBM Tivoli Composite Application Manager for Microsoft Applications: Microsoft Cluster Server Agent vnext User's Guide - Beta 1 Draft SC27-2316-05 IBM Tivoli Composite Application Manager for Microsoft
More informationION EEM 3.8 Server Preparation
PREREQUISITE GUIDE JUNE 21, 2006 ION EEM 3.8 Server Preparation This document details the server configuration required for an ION EEM installation. This document can and should be used by the your company
More informationEMC ApplicationXtender Server
EMC ApplicationXtender Server 6.5 Monitoring Guide P/N 300-010-560 A01 EMC Corporation Corporate Headquarters: Hopkinton, MA 01748-9103 1-508-435-1000 www.emc.com Copyright 1994-2010 EMC Corporation. All
More informationMonitoring Network DMN
Monitoring Network DMN User Manual Table of contents Table of contents... 2 1. Product features and capabilities... 3 2. System requirements... 5 3. Getting started with the software... 5 3-1 Installation...
More informationNetwrix Auditor for Active Directory
Netwrix Auditor for Active Directory Quick-Start Guide Version: 7.1 10/26/2015 Legal Notice The information in this publication is furnished for information use only, and does not constitute a commitment
More informationDataLogger. 2015 Kepware, Inc.
2015 Kepware, Inc. 2 DataLogger Table of Contents Table of Contents 2 DataLogger Help 4 Overview 4 Initial Setup Considerations 5 System Requirements 5 External Dependencies 5 SQL Authentication 6 Windows
More informationDESLock+ Basic Setup Guide Version 1.20, rev: June 9th 2014
DESLock+ Basic Setup Guide Version 1.20, rev: June 9th 2014 Contents Overview... 2 System requirements:... 2 Before installing... 3 Download and installation... 3 Configure DESLock+ Enterprise Server...
More informationDEPLOYING EMC DOCUMENTUM BUSINESS ACTIVITY MONITOR SERVER ON IBM WEBSPHERE APPLICATION SERVER CLUSTER
White Paper DEPLOYING EMC DOCUMENTUM BUSINESS ACTIVITY MONITOR SERVER ON IBM WEBSPHERE APPLICATION SERVER CLUSTER Abstract This white paper describes the process of deploying EMC Documentum Business Activity
More informationAnalytics Configuration Reference
Sitecore Online Marketing Suite 1 Analytics Configuration Reference Rev: 2009-10-26 Sitecore Online Marketing Suite 1 Analytics Configuration Reference A Conceptual Overview for Developers and Administrators
More informationQAD Enterprise Applications. Training Guide Demand Management 6.1 Technical Training
QAD Enterprise Applications Training Guide Demand Management 6.1 Technical Training 70-3248-6.1 QAD Enterprise Applications February 2012 This document contains proprietary information that is protected
More informationFileNet System Manager Dashboard Help
FileNet System Manager Dashboard Help Release 3.5.0 June 2005 FileNet is a registered trademark of FileNet Corporation. All other products and brand names are trademarks or registered trademarks of their
More informationDeploying the BIG-IP LTM with the Cacti Open Source Network Monitoring System
DEPLOYMENT GUIDE Deploying the BIG-IP LTM with the Cacti Open Source Network Monitoring System Version 1.0 Deploying F5 with Cacti Open Source Network Monitoring System Welcome to the F5 and Cacti deployment
More informationSQL Server 2008 R2 Express Edition Installation Guide
Hardware, Software & System Requirements for SQL Server 2008 R2 Express Edition To get the overview of SQL Server 2008 R2 Express Edition, click here. Please refer links given below for all the details
More information