Create Custom Monitors

The Monitors page displays a list of all the monitors you have created and imported from the store. The following table displays the details of the monitors list page:

To access the Monitors list page, navigate to Compute in the left pane and select Monitors.

The Monitors List page has a table. The table displays the following columns.

While scrolling on the Monitor columns you can view the details like help text (if mentioned) on a monitor, and number of notification channels set on a monitor.

Note With V2.6.0, a new Monitor with an action to terminate long-running Databricks clusters was added.

What other operations can I perform on Monitors?

The various operations that you can perform on monitors are as follows.

• Sorting Monitors
• Filtering Monitors
• Refreshing Monitors
• Activation and Deactivation of Monitors
• Editing and Deleting Monitors
• Cloning a Monitor

Sorting Monitors

Click the icon to sort values in ascending , or descending order.

Filtering Monitors

ADOC provides you two filter options to filter the list of monitors.

Filtering using the Filter Icon

The filter option provides you five metrics to filter the monitors. The metrics are Monitor Name and Updated On. You can use the Monitor name filter to filter monitors by name and Updated On filter to filter monitors by their last updated date and time.

To filter monitors using the filter icon, perform the following steps:

1. Click the filter icon in the top right corner of the table. Apply filter dialog box is displayed.
2. Select the metric for which you want to apply the filter from the drop-down list of the Apply filter dialog box.
3. Select the = expression from the drop down list.
4. Enter the value in the value box.
5. Click the Apply Filter button.

Filtering using the Left Pane Metrics

You can also use the metrics provided in the left pane to filter the data. The filter metrics provided by left pane are Entity, Data source Name, Severity, and Status.

To apply left pane filters, select the check box for the required filters. If you select multiple filters, the AND logical operation is performed between the filters.

If you have applied filters using the filter icon, it is applicable to the left pane filters as well.

Refreshing Monitors

To see the most recent monitors, click icon in the top right corner of the table.

Activation and Deactivation of Monitors

You can activate and deactivate monitors by clicking the toggle button provided in the Status column from the monitors list.

Editing and Deleting Monitors

To edit a monitor, perform the following:

1. Click the name of a monitor that you want to edit. The Edit Monitor page is displayed.
2. Edit the parameters.
3. Click Update Monitor.

Enable or Disable Recommendations

To delete an monitor, perform the following:

1. Click the name of the monitor that you want to edit. The Edit Monitor page is displayed.
2. Click Delete.

Cloning a Monitor

1. Click the button on the right-hand side of the page.
2. Select the Clone option. The name of the parent monitor shows on the cloned monitor.
3. Change the Name and other specifications as necessary
4. Click on the Clone Monitor button

Cloning a Monitor

Creating a Monitor

You can create monitors to notify people and groups when a certain metric exceeds its threshold value. Every monitor has a query (condition) that you can configure. The monitor query is evaluated periodically based on the evaluation frequency set. If the monitor query result exceeds the set threshold values, an Alert is raised.

To create a monitor, perform the following steps:

1. Navigate to Compute from the side panel and click Monitors.
2. Click the Create Monitor button. The Create Monitor wizard is displayed.

The Create Monitor wizard has the following five stages:

1. Monitor Name

Provide a name for the monitor that you want to create. The name you give the monitor helps in its identification. You cannot use blank spaces in a monitor name.

2. Data Source

Select the Data source for which you wish to create the monitor. If you have created multiple instances of single data source, you can view all the instances of the integration and can create a monitor for a specific instance or all the instances (In the following image, you can see that two instances of the Snowflake data source are created and one instance of Databricks is created).

3. Entity

The Entity defines the target for monitoring an application. Based on the type of Data Source selected, a number of entities are displayed. These entities vary for every Data Source. When you select a Data Source, its corresponding entities are displayed.

4. Query

The Query is structure to allow the user to define a set of conditions, schedule and actions for a monitor. Based on the selected entity, different Query metrics are displayed and it varies for each entity. Under Query you must define the following:

Aggregation

You must define the arithmetic combination of metrics. To define aggregation perform the following steps:

1. Go to Aggr box under the query and select the operation you want to perform on the metric.
2. Select the metrics from the drop-down menu. To add another metric, click on icon, and select the metric from the drop-down menu.
3. To apply a filter, go to Filter by and click the icon. Select the metric from the drop-down menu, and enter the value. To add multiple filters, click the icon, and to remove the filter click on the icon.
4. To group the queries, go to Group By and click on icon, then select the metric from the drop-down menu. To add multiple metrics, click on the icon, and to remove the filter, click the icon.

In the following image, the Query is created to monitor the system CPU usage time. A filter is applied to monitor only those devices that are located in the us-east-1 AWS zone. The devices are grouped according to their respective cloud service providers.

5. Group By allows users to add a parent aggregation. To add a parent aggregation to the query, click Add Parent Aggregation, and to remove a parent aggregation, click Remove Parent Aggregation.

The following table describes each of the Databricks entities.

The following table describes each of the Snowflake entities.

For example, in the following parent aggregation, all the unique cloud service providers are counted as well, apart from grouping the data by cloud service providers.