Using Netcool/Impact and IBM Tivoli Monitoring to build a custom selfservice

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1 IBM Tivoli Software Using Netcool/Impact and IBM Tivoli Monitoring to build a custom selfservice dashboard Document version 1.0 Brian R. Fabec IBM Software Developer

2 Copyright International Business Machines Corporation US Government Users Restricted Rights Use, duplication or disclosure restricted by GSA ADP Schedule Contract

3 with IBM Corp. CONTENTS Table of Contents Contents...3 List of Tables...5 Revision History Netcool/Impact Overview Scenario...8 Scenario Assumptions Steps Create a data source to connect to the Tivoli Monitoring UI data provider Create data types for retrieving and filtering the managed system information Create the table widget and policy Create the policy that populate other widgets based on MSN or OriginNode Create the dashboard...21 References...23

4

5 LIST OF TABLES Index of Tables Table 1: Data source for Tivoli Monitoring...9 Table 2: LinuxOS_OP1 output parameter...15 Table 3: MSN custom schema value...15 Table 4: PLATFORM custom schema value...15 Table 5: HOSTNAME custom schema value...15 Table 6: UPTIME custom schema value...16 Table 7: USERS custom schema values...16 Table 8: OPENSITS custom schema value...16 Table 9: Output parameters to represent the MSN variable...20

6 REVISION HISTORY Date Version Revised By Comments March 20 th Brian Fabec Initial version.

7 1 Netcool/Impact Overview IBM Tivoli Netcool/Impact is a highly scalable event processing engine that provides a common platform for ubiquitous data access that easily circumvents traditional organizational boundaries. Leveraging this data, IT operations staff can correlate, calculate, enrich, deliver, notify, escalate, visualize and perform a wide range of automated actions. The advanced policy-engine provided by Netcool/Impact allows IT operations staff to add business context to IT events, thereby making it easier to perform essential functions such as event prioritization, business impact analysis and measurement of key performance indicators. The Operator View allows user to create Web-based views consolidate multiple data sources and provide a single point from which to view distributed data. Netcool/Impact is a set of runnable server components that work together to provide event management and integration functionality for the Netcool suite of products. From an implementation perspective, you can understand Netcool/Impact as a development tool that you use to customize, enhance, and expand the functionality of an existing Netcool installation. It is a platform that you can use to build new functionality into your current installation of the Netcool product suite. For more information on Netcool/Impact, refer to the following URL: 7

8 2 Scenario This scenario demonstrates how to create a self service dashboard in the IBM Dashboard Application Services Hub, also referred to as the console throughout this document. The custom dashboard that you create uses Tivoli Netcool/Impact to connect to and retrieve data from an IBM Tivoli Monitoring dashboard data provider. You can also learn about how you can use Tivoli Netcool/Impact to combine metric data from multiple managed systems and filter this data in context based on events from publishing widgets such as a list or table. In this scenario, you complete the following tasks: 1. Create a data source to connect to the IBM Tivoli Monitoring dashboard data provider. 2. Create a data type for retrieving and filtering the managed system information from the data source that you created. 3. Create the table widget and policy to retrieve and visualize the data from the data types that you created. 4. Create the policy that populates other widgets based on Managed System Name (MSN) or OriginNode. 5. Create the dashboard. Scenario Assumptions This example requires the following products: IBM Tivoli Netcool/Impact Jazz for Service Management 1.1, Dashboard Application Services Hub IBM Tivoli Monitoring 6.3 8

9 3 Steps 1.1 Create a data source to connect to the Tivoli Monitoring UI data provider First, create a data source that retrieves data from the Tivoli Monitoring UI data provider: 1. Open Netcool/Impact. In the navigation tree, expand System Configuration > Event Automation and click Data Model to open the Data Model tab. 2. To create a new data source, click the New Data Source icon. Create the data source as outlined in the table. Field Name Host name Entry ITM_LINUXOS <ITM_hostname> Port Base URL Username Password ibm/tivoli/rest sysadmin <password> Table 1: Data source for Tivoli Monitoring 3. To ensure that the connection works, click Test Connection. 4. To locate a provider and an agent type source, click Discover Providers. 5. Select a provider and a source. You must select the provider and source, where the source is the type of agent that is defined in the Tivoli Monitoring system. The agent type contains the information that is used to populate the widget. In this example, it is the Linux OS Agent (KLZ) 9

10 Figure 1: Data source for Linux OS Agent (KLZ) 10

11 1.2 Create data types for retrieving and filtering the managed system information Next, you must create a data type for retrieving the managed system information. You can also use the filter in Netcool/Impact to filter for specific values. 1. Create a data type for retrieving the managed system information: i. Enter a data type name. ii. Ensure that the Enabled check box is selected. iii. Select a dataset. In this example, you select Managed System Information (msys): Figure 2: ITM_LINUXOS_MSYS 2. To display a list of the connected Tivoli Monitoring agents, right-click the data type and click View Data Items. The system displays a list of managed systems and their associated managed system names under the ORIGINNODE column header: Figure 3: Data item list: ORIGINNODE 3. These managed system names can be used to retrieve the metric data related to the corresponding agent. Create another data type based upon the attribute group that interests you. For example, the following data type retrieves Linux OS CPU information: 11

12 Figure 4: Data type for ITM_LINUXOS_CPU 4. To retrieve the metric data associated with a particular managed system, right click the data type and click View Data Items. Enter the following property in the filter and click Refresh: &param_sourcetoken=<originnode> In this example, enter &param_sourcetoken=beta01:lz to retrieve the Linux CPU TEMS table for the Linux OS agent that is installed on beta01. Figure 5: Filter for &param_sourcetoken=beta01:lz 5.To filter for a particular value, you can add conditions to your filter. The following filter text returns only the aggregate metric values across multiple CPUs: CPUID<0&param_SourceToken=beta01:LZ Figure 6: Filter for &param_sourcetoken=beta01:lz aggregate values Other filter examples include: 12

13 BUSYCPU>50&param_SourceToken=beta01:LZ CPUID=1&param_SourceToken=beta01:LZ ORIGINNODE starts beta01 &param_sourcetoken=beta01:lz ORIGINNODE starts 'beta' and CPUID>0&param_SourceToken=beta01:LZ 6. To limit the size of the result, add the following property to the filter: &count=<size> To locate a certain set of data, add the following property to the filter: &start=<location> Figure 7: Example of &count=<size> filter 7. Continue to create data types for each Tivoli Monitoring agent that you want to represent in your dashboard. In this example, you add the following data types: Linux System Statistics Linux CPU Linux Disk IO Linux Memory Usage Linux situation events 13

14 1.3 Create the table widget and policy Next, you want to create a table widget that contains a list of host names and system information such as system time up, user login count, open tickets and so on that are used by the systems in the environment. To supply data to the table widget, create a policy in Netcool/Impact. The policy retrieves data from the data types that you created in section 1.2 and combines the data into a single Impact object. Finally, the policy adds the Impact object to an array of Impact objects. 1. Create a policy that supplies data to the table widget. The policy retrieves the data from the data types and combines it into an impact object. Log("GetLinuxOSDash: Entering policy"); //Array of Impact Objects which will populate the widget Systems = {}; //Get list of linux OS agents currently online onlinesystems=getbyfilter("itm_linuxos_msys", "AVAILABLE=1", false); count = 0; while (count < Length(onlineSystems)) { //Create new System Object System = NewObject(); System.MSN = onlinesystems[count].originnode; System.PLATFORM = onlinesystems[count].osplatform; System.HOSTNAME = onlinesystems[count].hostname; //Retrieve system information regarding this agent systeminfo=getbyfilter("itm_linuxos_system", "&param_sourcetoken=" + System.MSN, false); System.UPTIME = systeminfo[0].sysuptime; System.USERS = systeminfo[0].curusrs; //Retrieve open situation events for this agent 14

15 situations=getbyfilter("itm_linuxos_events", "ORIGINNODE='"+System.MSN + "'", false); System.OPENSITS=Length(situations); } //Add the System Object to the array of impact objects Systems = Systems + System; count = count + 1; Log("GetLinuxOSDash: Systems - " + Systems); 2. Create a user output parameter that represents the Systems variable that is part of the array of Impact objects in this policy: Field Name Policy Variable Name Format Entry LinuxOS_OP1 Systems Array of Impact Objects Table 2: LinuxOS_OP1 output parameter 3. Create the following custom schema values that represent the schemas in each Impact object in the array: Field Name Format Entry MSN String Table 3: MSN custom schema value Field Name Format Entry PLATFORM String Table 4: PLATFORM custom schema value Field Name Format Entry HOSTNAME String Table 5: HOSTNAME custom schema value 15

16 Field Name Format Entry UPTIME String Table 6: UPTIME custom schema value Field Name Format Entry USERS String Table 7: USERS custom schema values Field Name Format Entry OPENSITS String Table 8: OPENSITS custom schema value You do not need to select a key field because this example uses an array of Impact Objects. The user output parameter is available in the console after the defined refresh interval. The default is 5 minutes. 4. Open the Dashboard Application Services Hub. Drag and drop the table widget to the workspace. To edit the widget, click it, click the down arrows icon and click Edit. Search for the parameter name of the user output parameter that you created. After you find the parameters, you can customize the columns that are displayed in the table widget. In this example, you select HOSTNAME, PLATFORM, UPTIME, USERS, and OPENSITS. Note: Even if you do not select a column for display in the widget, the data is still included in the context that is sent to other policies when you click the row in the console. 5. Under Optional settings, ensure that the execute policy checkbox is selected. After you click OK, the table table widget automatically loads the data from the user output parameter that you defined previously in step 2. For example: 16

17 Figure 8: User output parameter data in the console 6. If you click the drop down arrow for this widget and click Events, the system displays the default event configuration for a table widget. For example: Figure 9: Eventing for the table widget 7. For this example, you use the default event schema. You want the table widget to be able to publish the NodeClickedOn events to other widgets. You also want to ensure that it does not subscribe to the NodeClickedOn events from other widgets. You enable event publishing in this way so that the table widget sends updates in context from the item that the user clicks on to other widgets who subscribe to the event. 17

18 1.4 Create the policy that populate other widgets based on MSN or OriginNode After you create the main table that will publish your events to other widgets in context to the node that is being selected, create another policy that will populate the other widgets based on the MSN or OriginNode. 1. In Netcool/Impact, create a policy that populates the other widgets based on MSN or OriginNode. For example: Log("GetLinuxOSDashSystem: Entering policy with parameter: " + MSN); diskusage = {}; memoryusage = {}; cpuusage = {}; if (MSN == null) { //Do Nothing } else { //Retrieve memory usage for specific MSN count = 0; memoryusageresults=getbyfilter("itm_linuxos_vmstats", "&param_sourcetoken="+msn, false); while (count < Length(memoryUsageResults)) { Obj = NewObject(); Obj.MSN = MSN; Obj.SWPUSED= memoryusageresults[count].swpused; Obj.SWPFREE= memoryusageresults[count].swpfree; Obj.MEMUSED= memoryusageresults[count].memused; Obj.MEMFREE= memoryusageresults[count].memfree; Obj.MEMBUFF= memoryusageresults[count].membuff; Obj.MEMCACHE= memoryusageresults[count].memcache; } memoryusage = memoryusage + Obj; count = count + 1; 18

19 //Retrieve disk usage for specific MSN count = 0; diskusageresults=getbyfilter("itm_linuxos_disk", "&param_sourcetoken="+msn, false); while (count < Length(diskUsageResults)) { Obj = NewObject(); Obj.ID = diskusageresults[count].id; Obj.DSKFREEPCT = diskusageresults[count].dskfreepct; Obj.DSKUSEDPCT = diskusageresults[count].dskusedpct; Obj.DSKSIZE = diskusageresults[count].dsksize; Obj.DSKUSED = diskusageresults[count].dskused; Obj.MOUNTPT = diskusageresults[count].mountpt; Obj.MSN = MSN; } diskusage = diskusage + Obj; count = count + 1; //Retrieve CPU usage for specific MSN count = 0; cpuusageresults=getbyfilter("itm_linuxos_cpu", "CPUID<0&param_SourceToken="+MSN, false); while (count < Length(cpuUsageResults)) { Obj = NewObject(); Obj.MSN = MSN; Obj.BUSYCPU = cpuusageresults[count].busycpu; } cpuusage = cpuusage + Obj; count = count + 1; //Retrieve situations for specific MSN eventresults=getbyfilter("itm_linuxos_events", "ORIGINNODE='"+MSN +"'", false); 19

20 } Log("GetLinuxOSDashSystem: Retrieved " + Length(cpuUsage) + " systems CPU usage"); Log("GetLinuxOSDashSystem: Retrieved " + Length(memoryUsage) + " systems Memory usage"); Log("GetLinuxOSDashSystem: Retrieved " + Length(diskUsage ) + " systems DISK usage"); Log("GetLinuxOSDashSystem: Retrieved " + Length(eventResults) + " systems situation events"); This policy retrieves metric information about the CPU, memory and disk usage, and situation events. The selection is based on the MSN that belongs to a specific Linux OS agent. The MSN value is passed to the policy as the MSN variable. Note: In this example, the results from the GetByFilter policy function are converted into an array of Impact objects. Each Impact object in the array represents a variable that populates the widgets. In this example, these are diskusage, memoryusage and cpuusage. In this example, the events directly expose the resulting data items directly to the widget. 2. Create a user output parameter for each variable that will be used to populate the widget. The new output parameter is available in the console after the defined refresh interval. The default interval value is 5 minutes. For example, create the following output parameter to represent the MSN variable: Field Name Policy Variable Name Entry Diskusage_OP1 disk_usage Format Array of Impact Objects Table 9: Output parameters to represent the MSN variable 20

21 1.5 Create the dashboard After you create the policy, you can finish building your self-service dashboard. 1. Open a page in the console. 2. Click the bar chart widget and drag it into the content area. 3. To edit the widget, click the down arrow icon and click Edit. 4. Select an X axis or mount point and one or more Y-axis variables such as DISKUSED. 5. Ensure that the Execute impact policy check box is selected. In this example, the widget is empty because the widget only populates in contexts to an MSN variable. Figure 10: Example bar chart widget configuration 6. In this example, you want the widget to subscribe to a NodeClickedOn event. You do not want the widget to publish an event. To ensure that this is the case, click the down arrow icon and click Events. Verify that the settings are correct. For example: 21

22 Figure 11: Example eventing for bar chart widget 7. Test the widget. When you click on a node in the table widget that you created in the previous steps, the bar chart is populated with the disk usage for the system that the user selects. You can now continue to add further widgets in a similar manner until the dashboard is complete. For example: Figure 12: Example dashboard for ITM monitoring 22

23 REFERENCES IBM Tivoli Netcool/Impact Infocenter: topic=/com.ibm.netcoolimpact.doc6.1.1/welcome.html IBM Tivoli Monitoring Infocenter: %2Fcom.ibm.itm.doc_6.3%2Fwelcome.htm IBM Jazz for Service Management Infocenter %2Fcom.ibm.psc.doc_1.1.0%2Fpsc_ic-homepage.html 23

24 24

25 Copyright IBM Corporation 2013 IBM United States of America Produced in the United States of America US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM may not offer the products, services, or features discussed in this document in other countries. Consult your local IBM representative for information on the products and services currently available in your area. Any reference to an IBM product, program, or service is not intended to state or imply that only that IBM product, program, or service may be used. Any functionally equivalent product, program, or service that does not infringe any IBM intellectual property right may be used instead. However, it is the user's responsibility to evaluate and verify the operation of any non-ibm product, program, or service. IBM may have patents or pending patent applications covering subject matter described in this document. The furnishing of this document does not grant you any license to these patents. You can send license inquiries, in writing, to: IBM Director of Licensing IBM Corporation North Castle Drive Armonk, NY U.S.A. The following paragraph does not apply to the United Kingdom or any other country where such provisions are inconsistent with local law: INTERNATIONAL BUSINESS MACHINES CORPORATION PROVIDES THIS PAPER AS IS WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Some states do not allow disclaimer of express or implied warranties in certain transactions, therefore, this statement may not apply to you. This information could include technical inaccuracies or typographical errors. Changes may be made periodically to the information herein; these changes may be incorporated in subsequent versions of the paper. IBM may make improvements and/or changes in the product(s) and/or the program(s) described in this paper at any time without notice. Any references in this document to non-ibm Web sites are provided for convenience only and do not in any manner serve as an endorsement of those Web sites. The materials at those Web sites are not part of the materials for this IBM product and use of those Web sites is at your own risk. IBM may have patents or pending patent applications covering subject matter described in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to: IBM Director of Licensing IBM Corporation 4205 South Miami Boulevard Research Triangle Park, NC U.S.A. All statements regarding IBM's future direction or intent are subject to change or withdrawal without notice, and represent goals and objectives only. This information is for planning purposes only. The information herein is subject to change before the products described become available. If you are viewing this information softcopy, the photographs and color illustrations may not appear. 25

26 Trademarks IBM, the IBM logo, and ibm.com are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol ( or ), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the web at "Copyright and trademark information" at Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. IT Infrastructure Library is a registered trademark of the Central Computer and Telecommunications Agency which is now part of the Office of Government Commerce. Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. ITIL is a registered trademark, and a registered community trademark of the Office of Government Commerce, and is registered in the U.S. Patent and Trademark Office. UNIX is a registered trademark of The Open Group in the United States and other countries. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Linear Tape-Open, LTO, the LTO Logo, Ultrium, and the Ultrium logo are trademarks of HP, IBM Corp. and Quantum in the U.S. and other countries. Other company, product, or service names may be trademarks or service marks of others. 26

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