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Monitor Device and Network Health

 

Paragon Insights (formerly HealthBot) offers several ways to detect and troubleshoot device-level and network-level health problems. Use the information provided by the following Paragon Insights GUI pages to investigate and discover the root cause of issues detected by Paragon Insights:

Dashboard

Paragon Insights Release 4.0.0 introduces GUI enhancements brought about by the migration to a new framework. This change does not have an impact on existing functionality or resources in the GUI but introduces the following changes in the interface:

  • Favorites option

  • Launchpad icon

  • TSDB (time series database) dashlets

The Favorites option, denoted by a star button at top right corner of all pages, allows users to mark pages under the Favorites section for easier access.

In the top right corner of the UI, if you click the Launchpad button (rocket icon), you get a drop down menu that takes you to the Sizing Tool and the Github repository for Paragon Insights rules called Playbooks (github). Sizing Tool allows you to estimate the compute (vCPU), memory (RAM), and storage requirements to deploy or scale Paragon Insights in your network. Visit the sizing tool app to estimate your requirements.

Starting with Paragon Insights Release 4.0.0, the Alarms option is renamed as Alerts. To access the Alerts page, go to Monitor > Alerts.

Use the Dashboard to create a custom view of what you’re most interested in. Paragon Insights pre-populates the dashboard with the Device List, Device Group List, and Netwok Group List dashlets and calls this view My Dashboard. You can create your own dashboard view by clicking the + to the right of My Dashboard. Custom views can be added, renamed, and deleted as you see fit.

The Dashboard also has a graphical list of pre-defined dashlets across the top that is initially hidden from view. Click the cluster of 9 blue dots on the upper right part of the page to display or hide the available dashlets. Each dashlet provides graphical information from a specific point of view. Many of the dashlets can be clicked on to drill down deeper into the information presented.

  • Devices Consists of devices dashlet, device vendor dashlet, and device status dashlet (see Device Dashlets).
  • Device Groups Consists of device group dashlets (see Device Group List Dashlet).
  • Network Groups Consists of network group dashlets (see Network Group List Dashlet).
  • Health Alert Consists of health alert dashlets (see Health Alert Dashlets).
  • TSDB (Time Series Database)Consists of TSDB dashlets that have line charts for Buffer Bytes, Buffer Length, and bar charts for Read Error for Last 5 Minutes, Write Error for Last 5 Minutes, and Buffer Length (see TSDB Dashlets).

A customized Dashboard view is shown in Figure 1.

Figure 1: Paragon Insights Dashboard
Paragon Insights Dashboard

The Dashboard uses two types of colored objects to provide health status: halos and bars. The following table describes the meaning of the severity level colors displayed by the status halos and bars on the Dashboard:

Color

Definition

Green

The overall health of the device, device group, or network group is normal. No problems have been detected.

Yellow

There might be a problem with the health of the device, device group, or network group. A minor problem has been detected. Further investigation is required.

Red

The health of the device, device group, or network group is severe. A major problem has been detected.

Gray

No data is available.

Device Dashlets

The following table describes the main features of the Devices dashlet, Device Vendor dashlet, and Device Status dashlet on the dashboard. .

Figure 2: Devices Dashlets
Devices Dashlets

Dashlets

Description

Devices

Devices dashlet lists the status and hostname of all devices configured in Paragon Insights.

Click on the number under the Device Groups column in the dashlet to trace the device group to which the device is added. It goes to the Device Group Configuration page.

Click the circular arrow at the top of the dashlet to refresh the dashlet.

Click the X at the top of the dashlet to remove the dashlet from the dashboard.

Device Vendor

The half pie chart in this dashlet shows the total number of devices classified by vendor name. Each vendor is distinguished by a unique color.

If you hover over the chart, the status halo displays the number of devices from a vendor and the percentage share of the devices in the total.

The legend by the chart displays the names of the vendors. If you click on the name of a particular vendor, the devices from that vendor is filtered out from the data shown in the pie chart.

Device Status

The pie chart in this dashlet shows the total number of devices in the platform classified by health status. Each health status is distinguished by a unique color.

If you hover over the chart, the status halo of each segment displays the number of devices with the health status denoted by the segment color and the percentage share of the devices in the total.

The legend by the chart displays the health statuses of devices. If you click on the name of a particular status, the devices with that health status is filtered out from the pie chart.

Device Group List Dashlet

The following table describes the main features of the Device Groups dashlet and Device Group Health dashlet on the dashboard..

Figure 3: Device Group Dashlets
Device Group Dashlets

Dashlets

Description

Device Groups

To edit device group properties, click the device group name. For information on device group properties, see Manage Devices, Device Groups, and Network Groups.

To display the list of devices that belong to a device group, click the integer number on this dashlet that represents the number of devices included in the device group.

To display the list of playbooks applied on a device group, click the integer number that represents the number of playbooks applied on the device group.

To remove this dashlet from the dashboard, click the X button at the top corner of the dashlet.

The color of each segment in the pie chart represents the health status of the devices in the device group. For example, if a chart has one half segment as green and the other half segment as yellow, then no problems are detected in the number of devices displayed in the green segment and minor problems are detected in the number of devices displayed in the yellow segment.

Clicking on a segment takes you to the Monitor > Device Configuration page.

The coloring of the status halo in the pie chart segments represents the percentage of devices in the device group that have the health status defined by the color. For example, if the circle halo is all green, then the health of 100% of the devices in the device group is normal.

The legend by the pie chart displays the different health statuses of device groups. If you click on the name of a particular status such as healthy, the device groups with that status are filtered out from the pie chart.

Device Group Health

The pie chart in this dashlet classifies all device groups in the platform by their health status. Each health status is distinguished by a unique color.

If you hover over the chart, the status halo of each segment displays the number of devices in the device group with the health status denoted by the segment color and the percentage share of the devices in the total.

The legend by the chart displays the device groups. If you click on the name of a particular device group, the devices in that device group are filtered out from the pie chart.

Network Group List Dashlet

The following table describes the main features of the Network Groups dashlet and Network Health dashlet.

Figure 4: Network Group Dashlets
Network Group Dashlets

Dashlets

Description

Network Groups

To edit network group properties, click the network group name. For information on network group properties, see Manage Devices, Device Groups, and Network Groups.

Click the X at the top of the dashlet to remove the dashlet from the dashboard.

Click the name of a network group in the dashlet to open the Network Health page of a particular network group.

The status icons displayed against a network group name represents the overall health status of the network group. It can read no data or display an icon to indicate warning, alert, and healthy status.

Network Health

This dashlet shows a pie chart with several segments to classify the network groups based on their network health. The segment size denotes the number of network groups with the status of that segment. The segment color represents the overall health status of the network group(s) in that segment.

For example, if you hover over a red segment in the chart, it displays the name(s) of the network group(s) with major alerts and the total count of network groups with major alerts.

The legend by the pie chart displays the names of all network groups. If you click on the name of a particular network group, that group is filtered out from the pie chart.

Health Alert Dashlets

The following table describes the properties of the Health Alert dashlets.

Figure 5: Health Alert Dashlets
Health Alert Dashlets

Dashlets

Description

Health Alert Severity

The pie chart in this dashlet shows the total number of health alerts generated in Paragon Insights classified by the alert severity level.

Each segment of the pie chart represents a severity level distinguished by a unique color.

If you hover your cursor over the chart, the status halo of each segment displays the number of alerts with the severity level denoted by the segment color and the percentage share of the alerts in the total.

The legend by the chart displays the severity levels of the alerts. If you click on the name of a severity level, the alerts marked with that severity level are filtered out from the pie chart.

Health Alert Status

The pie chart in this dashlet shows alerts generated in Paragon Insights classified by their status in the platform: open, closed, and expired.

Each segment of the pie chart represents a status distinguished by a unique color.

If you hover your cursor over the chart, the status halo of each segment displays the number of alerts with the status denoted by the segment color and the percentage share of the alerts in the total.

The legend by the chart displays the three main statuses of alerts. If you click on the name of an alert status, the alerts marked with that status are filtered out from the pie chart.

Health Alert Summary

The chart in this dashlet shows a time line view of alerts generated in Paragon Insights classified by their severity levels.

Each severity level in the chart is distinguished by a unique color.

If you hover your cursor over any time point in the chart, the number of alerts per severity level is displayed for that time.

The legend by the chart displays the severity levels of alerts. If you click on the name of an alert severity level, alerts marked with that severity are filtered out from the chart.

TSDB Dashlets

Each TSDB table row, that is also known as a point, contains data for a particular key at a given time. In TSDB, write or read requests are executed by grouping multiple points into a batch point.

Buffer Length denotes the number of batch points that are buffered per node at a given time. Buffered Bytes denotes the total size of the batch points buffered per TSDB node. In TSDB, a maximum of 1GB of batch point can be buffered per node.

Read or write errors occur when TSDB does not accept more requests as the buffer is full or because of issues in Kubernetes clusters. Errors can be minimized through database sharding. For more information, see Paragon Insights Time Series Database (TSDB).

Figure 6 shows a sample TSDB dashboard.

Figure 6: Paragon Insights TSDB Dashlets
Paragon Insights TSDB Dashlets

The following table describes the main features of the time series database dashlet on the Dashboard. For information on how TSDB works, see Paragon Insights Time Series Database (TSDB).

Dashlets

Description

TSDB Buffer Bytes

The chart in this dashlet shows a time line view of buffered bytes classified by the number of nodes.

Each TSDB node in the chart is distinguished by a unique color.

If you hover your cursor over any time point in the chart, the total buffered bytes per node for that time is displayed.

The legend by the chart displays the nodes. If you click on the name of a node, buffered bytes data of that node is filtered out from the chart.

When the chart refreshes, the vertical axis of buffered bytes is auto adjusted based on the data. The data in vertical axis is in bytes.

To delete the dashlet, click the X at the top of the dashlet.

TSDB Buffer Length

The chart in this dashlet shows a time line view of buffer length classified by the number of nodes.

Each TSDB node in the chart is distinguished by a unique color.

If you hover your cursor over any time point in the chart, the buffer length per node for that time is displayed.

The legend by the chart displays the nodes. If you click on the name of a node, buffer length data of that node is filtered out from the chart.

The vertical axis shows data of buffer length in terms of absolute number of batch points.

To delete the dashlet, click the X at the top of the dashlet.

TSDB Read Errors Last 5 Minutes

The bar chart in this dashlet shows the number of TSDB read errors collected every 5 minutes classified by the number of nodes.

The legend displays the nodes. If you click on the name of a node, the read error data of that node is filtered out from the chart.

The horizontal axis shows read errors in absolute number.

To delete the dashlet, click the X at the top of the dashlet.

TSDB Write Errors Last 5 Minutes

The bar chart in this dashlet shows the number of TSDB write errors collected every 5 minutes classified by the number of nodes.

The legend displays the nodes. If you click on the name of a node, the write error data of that node is filtered out from the chart.

The horizontal axis shows write errors in absolute number.

To delete the dashlet, click the X at the top of the dashlet.

Latest TSDB Buffer Length

The bar chart in this dashlet shows the number of TSDB buffer length classified by the number of nodes.

The legend displays the nodes. If you click on the name of a node, the buffer length data of that node is filtered out from the chart.

The horizontal axis shows buffer length in absolute number.

To delete the dashlet, click the X at the top of the dashlet.

Health

Use the Health page (Monitor > Health) to monitor and track the health of a single device, a device group, or a network. You can also troubleshoot problems. Select a device group using the entity type selectors (DEVICE, DEVICE GROUP, or NETWORK) located in the top left corner of the page. Once selected, you can then select individual devices or all of the devices from the group by clicking the Select devices pull-down menu. The page is divided into the following three main views that, when used together, can help you investigate the root cause of problems detected on your devices:

Timeline View

In timeline view, you can monitor real-time and past occurrences of KPI events flagged with a minor or major severity level health status. The general characteristics and behaviors of the timeline include (see Figure 7):

  • Clicking on the right caret next to the Timeline View heading expands or collapses the timeline.

  • Each dot or line in the timeline represents the health status of a unique KPI event (also known as a Paragon Insights rule trigger) for a pre-defined KPI key with which Paragon Insights has detected a minor or major severity level issue. The name of each event is displayed (per device) directly to the left of its associated health status dot or line.

  • The health status dot or line for each unique KPI event in the timeline can consist of several different KPI keys. Use tile view and table view to see the health status information for the individual KPI keys.

  • Only minor or major severity level KPI events are displayed in the timeline. Yellow represents a minor event, and red represents a major one.

  • A KPI event that occurs once (at only one point in time) and does not recur continuously over time is represented as a dot.

  • A KPI event that occurs continuously over time is represented as a horizontal line.

  • Timeline data is displayed for a 2-hour customizable time range.

  • The red vertical line on the timeline represents the current time.

  • The blue vertical line on the timeline represents the user-defined point of time for which to display data.

Figure 7: Timeline view
Timeline view

The following table describes the main features of the timeline:

Feature

Description

Display information about a dot or horizontal line in the timeline.

Hover over the dot or horizontal line to display the associated KPI event name, device name, health status severity level, and event start and end times.

Additional health status information about the KPI event can be found in tile view. For information about tile view, see the Tile View section.

For the displayed data, change the range of time (x-axis) that is visible on the page.

Options:

  • Click and drag the x-axis of the timeline to the left or to the right.

  • Click the Zoom In or Zoom Out buttons in the top right corner of the timeline.

Choose a different 2-hour time range of data to display.

Use the blue vertical line to customize the time range of data to display. Options for enabling the blue vertical line:

  • Click inside the timeline grid at the particular point in time you want to display data.

  • In the date/time drop-down menu (located above the timeline), select the particular point in time you want to display data ..

Data is generally displayed for 1 hour before and 1 hour after the blue line. Hover over the blue line to display the exact point in time that it represents. Drag the blue line left or right to adjust the time.

Note: Auto-refresh is disabled whenever you enable the blue line. Re-enabling auto-refresh disables the blue line and resets the timeline to display the most recent 2-hour time range of data.

Freeze the timeline (disable auto-refresh).

Toggle the auto-refresh switch to the left.

Unfreeze the timeline (enable auto-refresh).

Toggle the auto-refresh switch to the right.

Tile View

The tile view uses colored tiles to allow you to monitor and troubleshoot the health of a device. The tiles are organized first by device group, then by device component topic, and lastly by unique KPI key (see Figure 8). By default, the tile view data corresponds to the most recent data collected. To customize the point in time for which data is displayed in tile view, select a particular point in time from the date/time drop-down menu (located above the timeline) or enable the blue vertical line in timeline view. For information about how to enable the blue vertical line, see the Timeline View section. The Composite toggle switch (not shown) at the upper right of the TILE VIEW, allows you to select data from more than one device component topic to be shown in the Table View and, thus, the Time Inspector View. This can be useful when topics must be combined to find root cause for an issue. For example, system memory usage could combine with output queue usage to create a performance issue in an overloaded system.

Figure 8: Tile View
Tile View

The following table describes the meaning of the severity level colors displayed by the status tiles:

Color

Definition

Green

The overall health of the KPI key is normal. No problems have been detected.

Yellow

There might be a problem with the health of a KPI key. A minor problem has been detected. Further investigation is required.

Red

The health of a KPI key is severe. A major problem has been detected.

Gray

No data is available.

The following table describes the main features of the tile view:

Feature

Description

Display information about a status tile.

Options:

  • Hover over a status tile to display the name of the key, KPIs associated with the key, and the status messages associated with the KPIs.

  • Click on a status tile. Information about the status tile is displayed in table view. For information about table view, see the Table View section.

Note: If the number of KPI keys exceeds 220, the keys are automatically aggregated and grouped.

Display information in table view about the status tiles associated with a single device component topic.

Click on a device component topic name in tile view. For information about table view, see the Table View section.

Composite Toggle

When active, users can click on specific keys within the tile groups. This allows you to pass multiple KPIs to the Time Inspector View.

Table View

The table view allows you to monitor and troubleshoot the health of a single device based on Paragon Insights data provided in a customizable table. You can search, sort, and filter the table data to find specific KPI information, which can be especially useful for large network deployments. To select which attributes are displayed in the table, check the appropriate check box in the field selection bar above the table (see Figure 9). The checkbox on the left side of each row is used to help activate the Time Inspector view. Multiple rows can be selected at one time.

Figure 9: Table View
Table View

The following table describes the Paragon Insights attributes supported in table view:

Attributes

Description

Time

Time and date the event occurred.

Device

Device name.

Group

Device group name.

Topic

Rule topic name.

Keys

Unique KPI key name.

KPI

Key Performance Indicator (KPI) name associated with an event.

Status

Health status color. Each color represents a different severity level.

Message

Health status message.

The following table describes the meaning of the severity level colors displayed by the Status column:

Color

Definition

Green

The overall health of the KPI key is normal. No problems have been detected.

Yellow

There might be a problem with the health of a KPI key. A minor problem has been detected. Further investigation is required.

Red

The health of a KPI key is severe. A major problem has been detected.

Gray

No data is available.

The following table describes the main features of the table view:

Feature

Description

Sort the data by ascending or descending order based on a specific data type.

Click on the name of the data type at the top of the column by which you want to sort.

Filter the data in the table based on a keyword.

Enter the keyword in the text box under the name of a data type at the top of the table (see Figure 9).

Navigate to a different page of the table.

Options:

  • At the bottom of the table, click the Previous or Next buttons.

  • At the bottom of the table, select the page number using the up/down arrows (or by manually entering the number) and then press Enter.

If the data in a cell is truncated, view all of the data in a cell.

Options:

  • Hover over the cell.

  • Resize the column width of the cell by dragging the right side of the title cell of the column to the right.

Row selection checkbox

Make this row’s data available for Time Inspector view.

Time Inspector View

Starting with HealthBot Release 3.2.0, a new view called Time Inspector is available. Time Inspector is a composite view that is available only when the entity type DEVICE GROUP is selected. It can be accessed by clicking the TIME INSPECTOR button located below the Timeline View pull-down menu.

This view allows you to drill down into which specific triggers within a given rule caused a sensor to display green, yellow, or red status.

When the Health page is first accessed, the TIME INSPECTOR button is disabled. To activate the button and make the view available, you must:

  • Select the Entity Type DEVICE GROUP in the top section of the Health page.

  • Select at least one device from the Devices pull-down menu.

  • Have valid data in at least one device component topic in TILE VIEW.

    Note

    Topics showing “no data” will not work for enabling the Time Inspector view.

  • Have data appearing in the TABLE VIEW section. You can achive this by clicking the device component topic header in TILE VIEW.

  • Select the checkbox to the left of at least one of the rows in TABLE VIEW.

When clicked, the TIME INSPECTOR button opens a pop-up window above the Health page. Figure 10 below shows a time inspector window created from the system.storage usage topic for a specific device.

Figure 10: Time Inspector Window
Time Inspector Window

As you can see, the Time Inspector window has a mini timeline at the top, an incremented line chart below, and a chart selector section at the bottom. This particular chart was created as a composite (indicated by the merging blue arrow) of a file-system-utilization in the check-storage rule of the system.storage topic.

Note that there are 3 fields in the check-storage rule: used-percentage, low-threshold, and high-threshold. Since the chart was created as a composite (fields charted together) there are three lines on the displayed chart. If the “chart fields separately” button (diverging arrows) were clicked instead, you would see 3 single-line charts showing the same data.

The more rules you select with the TABLE VIEW checkboxes, the more charts you can create in the Time Inspector view.

Network Health

Use the Network Health page (Monitor > Network Health) to monitor and track the health of a Network Group and troubleshoot problems. Select a Network Group using the drop-down list located in the top left corner of the page. Comparable to the Device Group Health page (see the Health section), the Network Health page is divided into three main views: timeline, tile, and table. The Network Health page provides similar features and functionality for a network group as the Device Group Health page provides for a single device.

Graph Page

You can use graphs to monitor the status and health of your network devices. Graphs allow you to visualize data collected by Paragon Insights from a device, showing the results of rule processing. Access the page from the left-nav panel Monitor > Graph

Note

Graphs are refreshed every 60 seconds.

Figure 11: Example of Multiple Graph Panels on a Single Canvas
Example of Multiple Graph Panels
on a Single Canvas

Graph Types

Graph types include time series graphs, histograms, and heatmaps.

Time series graphs are the kind you are used to, showing the data in a ’2D’ format where the x-axis indicates time while the y-axis indicates the value. Time series graphs are useful for real-time monitoring, and also to show historical patterns or trends. This graph type does not provide insight into whether a given value is ’good’ or ’bad’, it simply reports ’the latest value’.

Histograms work quite differently. Rather than show a continuous stream of data based on when each value occurred, histograms aggregate the data to show the distribution of the values over time. This results in a graph that shows ’how many instances of each value’. Histograms also show data in a ’2D’ format, however in this case the x-axis indicates the value while the y-axis indicates the number of instances of the given value.

Heatmaps bring together the elements above and provide a ’3D’ view to help determine the deviations in the data. Like a time series graph, the x-axis indicates time, while the y-axis indicates the value. Then the ’how many’ aspect of a histogram is added in. Finally, the third dimension—color—is added. It is common to think of the colors as showing heath, i.e., red means ’bad, yellow means ’OK’, and green means ’good’. However, this is not correct; the color adds context. For each column, the bars indicate the various values that occurred. The color then indicates how often the values occurred relative to the neighboring values. Within each vertical set of bars, the values that occurred more frequently show as ’hotter’ with orange and red, while those values that occurred less frequently show as shades of green.

To help illustrate these graph types, consider the graphs shown below.

All three graphs are showing the same data—the running 1-minute average of CPU utilization on a device over the last 24 hours. However, the way they visualize the data varies:

  • The time series graph provides the typical view; each minute it adds the latest data point to the end of the line graph. Time moves forward along the x-axis from left to right, and the data values are indicated on the y-axis. What this graph doesn’t show is how often each data point has occurred.

  • The histogram groups together the values to show how many of each data point there are. Notice the tallest bar is the one between 30 and 40, which means the most common 1-minute CPU average value is in the 30-40% range. And how many times did this range of values occur? Based on the y-axis, there have been over 350 instances of values in this range. The next most frequently occurring values are in the 40-50% range (almost 300 occurrences), while the 0-10% range has almost no occurrences, suggesting this CPU is rarely idle. What this graph doesn’t show is how many of each data point occurred within a given time range.

  • The heatmap makes use of elements from the other two graph types. Each small bar indicates that some number of instances occurred within the value range shown in the y-axis, at the given time show in the x-axis. The color indicates which value ranges, for each given time, occurred more than others. To illustrate this, notice the vertical set of bars towards the right of the graph, at 18:00. In this example (at this zoom level), each column of vertical bars represents 12 minutes, and each small bar represents a bucket of 15 values. So the first (lowest) bar indicates that within this time range there were some values in the 0-14 range. The bar above indicates that within this time range there were some values in the 15-29 range, and so on. The color then indicates which bars have more values than others. In this example, the third bar is red indicating that for those 12 minutes most of the values fell into the 30-44 range (in this example the count is 21). By contrast, the first bar is the most green indicating that for those 12 minutes the least number of values fell into the 0-14 range (in this example the count is 1). This ’heat’ information is also supported by the histogram; the most frequently occurring values were those in the 30-40 range, which indeed is the ’hotter’ range in the heatmap.

How to Create Graphs

The configuration model for graphs is to create graph panels and group them into one or more canvases.

To create a new graph panel on a canvas:

  1. Click the Monitor > Graph option in the left-nav bar.
  2. Choose one of the following two options:
    • To create a graph in a new canvas, click the + New Canvas button.

    • To create a graph within an existing canvas, select the desired canvas in the Saved Canvas and then click the Add Graph +button.

  3. In the General section, provide the general descriptive information for the canvas (new canvas only) and graph:

    Attribute

    Description

    Canvas Name

    Name of the canvas

    Description

    (Optional) Description for the canvas.

    Graph Name

    Name of the graph panel.

    Graph Type

    Options include Time Series, Histogram, and Heatmap.

    Time Range

    Choose the time range for the graph.

    In real-time graphs, the time range sets the x-axis range. For example, selecting 12 hrs means the x-axis shows the last 12 hours of data.

  4. Move down to the Query section. In the FROM section, define from where the data for the graph is coming:

    Attribute

    Description

    Group

    Choose the device group or network group.

    Device

    Choose a device from the group.

    Topic / Rule

    Choose the Paragon Insights topic/rule name.

  5. In the SELECT section, select the data field and apply aggregation and transformation types to the data:

    Attribute

    Description

    Field

    Choose a field name.

    This list is derived based on the fields defined in the selected topic/rule.

    Aggregation

    (Optional) In the drop-down list, choose a data aggregation type.

    Transformation

    (Optional) In the drop-down list, choose a data transformation type.

  6. In the WHERE section, filter data based on field and KPI key:

    Attribute

    Description

    Tag Key / Field

    (Optional) Choose a key or field. A key is an index field such as interface name.

    This list is derived based on the keys and fields defined in the selected topic/rule.

  7. In the GROUP BY section, specify how to group the data based on time interval, fill, and KPI keys:

    Attribute

    Description

    $_interval

    (Optional) Specify a time interval by which to group the data.

    fill(null)

    (Optional) Choose how to show a time interval when no data arrives from the device:

    null(default) Report the timestamp and null as the output value.
    noneReport no timestamp and no output value.
    0Report 0 as the output value.
    previousReport the value from the previous time interval as the output value.
    linearReport the results of linear interpolation as the output value.

    Tag Key (the + icon)

    (Optional) Choose a tag by which to group the data. A key is an index field such as interface name.

    This list is derived based on the keys and fields defined in the selected topic/rule.

  8. (Optional) Move down to the Visualization section, and define y-axis details.
  9. Click Save to save the graph and display the data.

Managing Graphs

  • To edit a graph, click the pencil icon located in the top right corner of the graph itself.

  • To delete a graph, click the trash can icon located in the top right corner of the graph itself.

  • To delete a canvas, click the trash can icon located in the top right corner of the canvas.

Graph Tips and Tricks

  • To sort canvases on the Saved Canvas page, click on the column headings.

  • To reorganize graphs on the screen, hover your mouse near the upper-left corner of a graph panel and click-and-drag it to the desired position.

  • To resize a graph, hover your mouse over the lower-right corner of the graph panel and click-and-drag it to the desired size.

  • To change the color of graph elements, click the color bar for the desired line item under the graph.

  • To zoom in on a graph, click and drag across the desired section of the graph; to zoom out, double-click on the graph.

  • To isolate an element on the graph, click its related line item under the graph; to view all elements again, click the same line item.

Use Cases

How do I monitor interface flaps for a single interface?

  • Playbook used: interface-kpis-playbook

  • Graph configuration

  • Graph panel

How do I monitor interface flaps for all ’ge’ interfaces on a device in a single graph?

  • Playbook used: interface-kpis-playbook

  • Graph configuration

  • Graph panel

How do I monitor system memory usage for all devices in a device group in a single graph?

  • Playbook used: system-kpis-playbook

  • Graph configuration

  • Graph panel

How do I monitor RE CPU usage for multiple devices in a single graph?

  • Playbook used: system-kpis-playbook

  • Graph configuration

  • Graph panel

How do I monitor RE CPU usage for multiple devices side by side?

  • Playbook used: system-kpis-playbook

  • Graph configuration

  • Graph panel

Release History Table
Release
Description
Paragon Insights Release 4.0.0 introduces GUI enhancements brought about by the migration to a new framework.
Starting with HealthBot Release 3.2.0, a new view called Time Inspector is available