RTView© Enterprise User's Guide Version 6.4

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Lists the number of brokers found as a result of the cluster that was selected and displayed in the Kafka Brokers table.

The name of the cluster.

The broker ID for the server.

The total number of alerts for the host.

Denotes whether the broker is an active controller.*

The number of partitions on the broker.*

The number of partition replicas that are out of sync (total number of replicas minus the total number of in-sync replicas) on the broker.*

The number of fetch requests currently in purgatory (and waiting to be satisfied).*

The number of produce requests currently in purgatory (and waiting to be satisfied).*

The number of requests (based on topics) currently in purgatory.*

The current version of Kafka.*

Denotes whether or not the broker is connected.*

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Fields and Data:

Select this check box to display the names of the cluster at the top of each rectangle in the heatmap.

Select this check box to enable a logarithmic scale. Use Log Scale to see usage correlations for data with a wide range of values. For example, if a minority of your data is on a scale of tens, and a majority of your data is on a scale of thousands, the minority of your data is typically not visible in non-log scale graphs. Log Scale makes data on both scales visible by applying logarithmic values rather than actual values to the data.

Select the metric driving the heatmap display. The default is Alert Severity. Each Metric has a color gradient bar that maps values to colors. The heatmap organizes the servers by host, where each rectangle represents a server. Mouse-over any rectangle to display the current values of the metrics for the broker. Click on a rectangle to drill-down to the associated Kafka Single Broker Summary display for a detailed view of metrics for that particular broker.

The total number of critical and warning unacknowledged alerts in the brokers. The color gradient bar, populated by the current heatmap, shows the value/color mapping. The numerical values in the gradient bar range from 0 to the maximum count of alerts in the heatmap. The middle value in the gradient bar indicates the average alert count.

The number of offline partitions. The color gradient bar shows the range of the value/color mapping. The numerical values in the gradient bar range from 0 to the defined alert threshold of KafkaBrokerOfflinePartitionCnt. The middle value in the gradient bar indicates the middle value of the range.

When Auto Scale is checked, the numeric values in the color gradient bar show the range of the data being displayed rather than the default values. The middle value changes accordingly to indicate the color of the middle value of the range.

The rate of incoming bytes (per second). The color gradient bar, populated by the current heatmap, shows the value/color mapping. The numerical values in the gradient bar range from 0 to the defined alert threshold of KafkaBrokerBytesInPerSec. The middle value in the gradient bar indicates the middle value of the range.

When Auto Scale is checked, the numeric values in the color gradient bar show the range of the data being displayed rather than the default values. The middle value changes accordingly to indicate the color of the middle value of the range.

Filter By:

The display might include these filtering options:

Select the broker for which you want to show data in the display.

The number of incoming messages per second.

The number of outgoing bytes per second.

The total number of partitions on the broker.

Throughput

Inbound Msgs/s -- traces the number of incoming messages per second.

Inbound Bytes/s -- traces the number of incoming bytes per second.

Outbound Bytes/s -- traces the number of outgoing bytes per second.

Net % Idle -- traces the average fraction of time the network processors are idle.

Partitions

Offline Partitions -- traces the number of offline partitions.

Under Replicated Partitions -- traces the number of partition replicas out of sync on the broker.

Active Controllers -- traces whether or not the broker is/was an active controller.

Select a time range from the drop down menu varying from 5 Minutes to Last 7 Days. By default, the time range end point is the current time.

To change the time range, deselect the now toggle, which displays some additional date fields. You can click the left and right arrow buttons to decrease the end time by one time period (the time selected in the Time range drop down) per click, or you can choose the date and time from the associated calendar and clock icons. You can also enter the date and time in the text field using the following format: MMM dd, YYYY HH:MM:ss. For example, Aug 21, 2018 12:24 PM. Click the now toggle to reset the time range end point to the current time.

The current state of the Kafka broker.

The number of critical and warning alerts.

The current version of Kafka installed on the broker.

The number of produce requests currently in purgatory (and waiting to be satisfied).*

The number of fetch requests currently in purgatory (and waiting to be satisfied).*

The number of partitions on the broker that are currently offline.*

Filter By:

The display might include these filtering options:

Select the broker for which you want to show data in the display.

The percentage of CPU used of this broker as JVM.

The committed heap memory, in megabytes, of this broker as JVM.

The number of threads running in the broker.

CPU and Threads

CPU % -- traces the percentage of CPU used of this broker as JVM.

Threads -- traces the number of threads running in the broker.

Heap Memory

Max Mem MB-- traces the maximum heap memory, in megabytes, of this broker as JVM.

Committed Mem MB -- traces the committed heap memory, in megabytes, of this broker as JVM.

Used Mem MB -- traces the memory used by the broker.

Select a time range from the drop down menu varying from 5 Minutes to Last 7 Days. By default, the time range end point is the current time.

To change the time range, deselect the now toggle, which displays some additional date fields. You can click the left and right arrow buttons to decrease the end time by one time period (the time selected in the Time range drop down) per click, or you can choose the date and time from the associated calendar and clock icons. You can also enter the date and time in the text field using the following format: MMM dd, YYYY HH:MM:ss. For example, Aug 21, 2018 12:24 PM. Click the now toggle to reset the time range end point to the current time.

The type of processor being used.*

The version number of the operating system.*

The date and time when the broker was started.*

The amount of time the broker has been up and running.*

Filter By:

The display might include these filtering options:

Select the broker for which you want to show data in the display.

Select this option to view the average rate for each metric for the topics in the display.

Select this option to view the 5 minute rate for each metric for the

topics in the display.

The total number of topics listed in the table.

Lists the name of the topic.

The rate of outgoing bytes.

The rate of failed fetch requests.

The rate of fetched message conversions, per second.

The rate of produced message conversions, per second.

Filter By:

The display might include these filtering options:

Select the broker for which you want to show data in the display.

Topics for Broker Table

The difference between the current consumer position in the partition and the end of the log.*

The rate of change in the amount of lag.*

The number of partitions containing the topic.