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I use OA for system performance metrics. The connection was successful and it automatically created a connecton on the SiteScope side. I created a group called SiteScope Monitors. In the group I created a new Pattern View. I used the calculator to verify I had all the monitors in the view. I saved the view Ping-Monitor. Those were my steps. I hope this helps a little. Basically I am looking for metric data of DB query monitor to be displayed in OBM's performance perspective in the form of graphs.

Note, DB query monitor doesn't have any target since its just using connection URL to connect to DB , execute the query and return the results. How I am supposed to proceed in this case? You need to select that for PD graphing. If this CI is not in a view and you are admin, then you could create a workspace page containing two components: Performance Perspective and CI Explorer. You might need to set Verify Remote Identity to true , specify the key passphrase , or configure other selections depending on your organization's security policies.

If you choose not to enable SSL, traffic between the TCP channel and the remote data source will be visible in plain text to potential listeners. The TCP channel can operate in server mode , where the channel listens for data, or in client mode where it connects to a remote TCP server and pulls data.

The UDP channel only operates in server mode. After you enter the UDP channel instance configurations and click Next , it takes a few seconds for the UDP channel to start listening on the specified port. Log on to the appropriate Operations Analytics Collector host and ensure that the channel has started listening on the specified port before you send records to the UDP channel from your remote data source.

All of the records sent to the UDP channel before it starts listening are lost. Specify the interval by making an entry in the Schedule field using the crontab time format. Note: Start Time has a default value when nothing is entered. The channel pulls data from the database in batches.

Specify the batch size by making an entry in the Batch Size field. The JDBC channel remembers the timestamp of the last row pulled from the table in a persisted mechanism including across channel restarts. If a restart occurs or during the next pull interval the channel pulls data from the table location where it left off.

The JDBC channel performs a blocking read of the batch. Specifying too large of a batch size with a large quantity of data to read might cause the JDBC channel to spend more time and memory when reading the batch. Specifying too small of a batch size might cause the JDBC channel to trail behind the table, causing a big backlog of rows to read from the table. Ensure that you specify a start time either default or your input that would return enough data for sampling. If you plan to work with the File option shown in the next step, do only one of the following before you select the File option:.

Note: For data collections based on a TCP channel. Note: For data collections based on a UDP channel. For descriptions of the entry fields, hover over the icon shown in the Operations Analytics console. Operations Analytics permits commands considered to be "read" commands. The SQL Statement field includes automatic statement validation for compliance with permitted and disallowed commands. This validation includes, and is not limited to, the following disallowed commands and characters:.

Disallowed commands: update , insert , delete , create , into , drop , truncate , grant , or revoke. This list of disallowed characters cannot be modified. You can use these characters inside of strings as shown by the use of the character in the following example:. Note: After you publish a Custom collection, if you decide to make collection configuration changes, you must wait up to two minutes for Operations Analytics to process the initial data before editing that collection.

Apache Morphline uses rich configuration files that make it easy to define data transformations. The configuration files you place in this directory will show up as selections in the Data format pull-down menu the next time you refresh the browser. For Operations Analytics , that means the Data Format selection step in this section supports the following data formats:.

During the Data Format selection step, select a format that needs to be applied to parse the input data you placed in the Source data directory you provided in an earlier step. Complete the Data Configuration step.

By analyzing a sample of the data you provided, Operations Analytics provides default values for this collection. This step provides you a chance to review the defaults, then make changes for correctness. Select the data columns for the data you want this collection to retain.

Deselect those data columns you do not want this collection to retain. This value changes with the timestamp value you select and supports the timestamp value in the Timestamp column field. Operations Analytics attempts to determine the correct timestamp format from the data you placed in the Source data directory.

If it cannot make that determination, you must type the correct value into the Timestamp format field. Note: If you must type this value, the value you enter must be accurate and match the timestamp format as it appears in the data column you selected for the Timestamp column. You can view the timestamp data directly in by viewing the table column for the value shown for the Timestamp column. Edit the table, making any supported changes you need. Note: If Operations Analytics could not determine a data column's type, it automatically assigns the type as metric.

Use the editing tool to make any necessary changes to the assigned type. Note: When selecting data columns to be Key fields, set no more than three columns to a Key value of true. Use the Preview step to view the resulting dashboard from the sampled data and with the changes you made in the Data Configuration step. If the dashboard does not show data as you would expect, click Prev to review and make additional changes for correctness.

After you are satisfied with the dashboard results, click Next. In the Summary step, review the details to understand how to view your data after it is published. Tip: To view additional information about a collection after publishing it, select the collection from the Collection Manager, then click View. Click Publish located in the upper right of the Operations Analytics console to create and publish this collection and create the preview dashboard from the Preview step.

Note: After you complete these steps and publish a collection and its associated dashboard, you can fine tune the query results by editing the generated AQL in the dashboard query editor. Check that the row count for this collection name shows green in the Row Count of Collected Metrics and Logs graph.

Enter the property group uid for this collection in the Collection Columns Filter. Optional: If this collection includes events, you can enable Event Analytics for these events in order to calculate and present the most significant messages for a selected time range. Do the following:. See Log and Event Analytics for more information. Optional: To enable the topology feature to recognize hosts coming from this collection, perform the following steps:. Enable the JMX console by changing the suffix of the following file on the server applicance from.

Let the collection run for up to five minutes. This includes solution templates for the following:. You use these templates to deploy a set of monitors that test the health, availability, and performance of an Exchange server.

Depending on the template chosen, this set includes monitors checking NT Event log entries, MAPI operations, system performance counters, and message system usage statistics. Note: This is a password protected document. The password is provided along with the Exchange Solution license key from Mercury.

After the template set is deployed the monitors created by the template will behave the same as other monitors in SiteScope. This means that they can be viewed, edited, and deleted like other monitors. Some of the monitor types deployed by the template can only be added by using the applicable solution template.

See the section Solution Monitor Types for more information. In most cases, the first thing to consider when remediating this concern is: Enable and configure SNMPv3 Properly implementing SNMPv3 is not for the faint of heart, but is highly recommended and should be considered if the security of SNMP usage in the environment is approached seriously.

Community strings should be at least 20 characters or greater in length. Community strings should not contain or be based upon corporate culture or associated vernacular. Public and private community strings should not match, nor should any discernible similarities exist between the two community strings. Last but not least, when considering the security of SNMP management practices: Apply different SNMP community strings to devices having different security levels To elaborate, critical devices such as routers, switches and firewall appliances should not share the same community strings as components of lesser importance such as IP cameras, managed power strips, or any other secondary device in use on the network.

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