Analyze and compare hosts

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The Hosts page provides a metrics-driven view of your infrastructure backed by an easy-to-use interface called Lens. On the Hosts page, you can view health and performance metrics to help you quickly:

To access this page from the main Kibana menu, go to Observability → Infrastructure → Hosts.

To learn more about the metrics shown on this page, refer to the Metrics reference documentation.

The Hosts page provides several ways to view host metrics:

The Hosts page provides several mechanisms for filtering the data on the page:

To learn more about filtering data in Kibana, refer to Kibana concepts.

On the Metrics tab, view metrics trending over time, including CPU usage, normalized load, memory usage, disk usage, and other metrics related to disk IOPs and throughput. Place your cursor over a line to view metrics at a specific point in time. From within each visualization, you can choose to open the visualization in Lens.

To see metrics for a specific host, refer to View host details.

Metrics visualizations are powered by Lens, meaning you can continue your analysis in Lens if you require more flexibility. Hover your cursor over a visualization, then click the ellipsis icon in the upper-right corner to open the visualization in Lens.

In Lens, you can examine all the fields and formulas used to create the visualization, make modifications to the visualization, and save your changes.

For more information about using Lens, refer to the Kibana documentation about Lens.

On the Logs tab, view logs for the systems you are monitoring and search for specific log entries. This view shows logs for all of the hosts returned by the current query.

Click Open in Logs to tail your log files. For more information, refer to Logs Stream.

To see logs for a specific host, refer to View host details.

On the Alerts tab, view active alerts to pinpoint problems. Use this view to figure out which hosts triggered alerts and identify root causes. This view shows alerts for all of the hosts returned by the current query.

From the Actions menu, you can choose to:

To see alerts for a specific host, refer to View host details.

Without leaving the Hosts page, you can view enhanced metrics relating to each host running in your infrastructure. In the list of hosts, find the host you want to monitor, then click the Toggle dialog with details icon to display the host details overlay.

The host details overlay contains the following tabs:

Overview

The Overview tab displays key metrics about the selected host, such as CPU usage, normalized load, memory usage, and max disk usage.

Change the time range to view metrics over a specific period of time.

Expand each section to view more detail related to the selected host, such as metadata, active alerts, services detected on the host, and metrics.

Hover over a specific time period on a chart to compare the various metrics at that given time.

Click Show all to drill down into related data.

Metadata

The Metadata tab lists all the meta information relating to the host:

• Host information
• Cloud information
• Agent information

All of this information can help when investigating events—for example, filtering by operating system or architecture.

Metrics

The Metrics tab shows host metrics organized by type and is more complete than the view available in the Overview tab.

Processes

The Processes tab lists the total number of processes (system.process.summary.total) running on the host, along with the total number of processes in these various states:

• Running (system.process.summary.running)
• Sleeping (system.process.summary.sleeping)
• Stopped (system.process.summary.stopped)
• Idle (system.process.summary.idle)
• Dead (system.process.summary.dead)
• Zombie (system.process.summary.zombie)
• Unknown (system.process.summary.unknown)

The processes listed in the Top processes table are based on an aggregation of the top CPU and the top memory consuming processes. The number of top processes is controlled by process.include_top_n.by_cpu and process.include_top_n.by_memory.

Command	Full command line that started the process, including the absolute path to the executable, and all the arguments (system.process.cmdline).
PID	Process id (process.pid).
User	User name (user.name).
CPU	The percentage of CPU time spent by the process since the last event (system.process.cpu.total.pct).
Time	The time the process started (system.process.cpu.start_time).
Memory	The percentage of memory (system.process.memory.rss.pct) the process occupied in main memory (RAM).
State	The current state of the process and the total number of processes (system.process.state). Expected values are: running, sleeping, dead, stopped, idle, zombie, and unknown.

Universal Profiling

The Universal Profiling tab shows CPU usage down to the application code level. From here, you can find the sources of resource usage, and identify code that can be optimized to reduce infrastructure costs. The Universal Profiling tab has the following views.

Flamegraph	A visual representation of the functions that consume the most resources. Each rectangle represents a function. The rectangle width represents the time spent in the function. The number of stacked rectangles represents the stack depth, or the number of functions called to reach the current function.
Top 10 Functions	A list of the most expensive lines of code on your host. See the most frequently sampled functions, broken down by CPU time, annualized CO2, and annualized cost estimates.

For more on Universal Profiling, refer to the Universal Profiling docs.

Logs

The Logs tab displays logs relating to the host that you have selected. By default, the logs tab displays the following columns.

Timestamp	The timestamp of the log entry from the timestamp field.
Message	The message extracted from the document. The content of this field depends on the type of log message. If no special log message type is detected, the Elastic Common Schema (ECS) base field, message, is used.

You can customize the logs view by adding a column for an arbitrary field you would like to filter by. For more information, refer to Customize Stream. To view the logs in the Logs app for a detailed analysis, click Open in Logs.

Anomalies

The Anomalies tab displays a list of each single metric anomaly detection job for the specific host. By default, anomaly jobs are sorted by time, showing the most recent jobs first.

Along with the name of each anomaly job, detected anomalies with a severity score equal to 50, or higher, are listed. These scores represent a severity of "warning" or higher in the selected time period. The summary value represents the increase between the actual value and the expected ("typical") value of the host metric in the anomaly record result.

To drill down and analyze the metric anomaly, select Actions → Open in Anomaly Explorer to view the Anomaly Explorer in Machine Learning. You can also select Actions → Show in Inventory to view the host Inventory page, filtered by the specific metric.

Osquery

You must have an active Elastic Agent with an assigned agent policy that includes the Osquery Manager integration and have Osquery Kibana privileges as a user.

The Osquery tab allows you to build SQL statements to query your host data. You can create and run live or saved queries against the Elastic Agent. Osquery results are stored in Elasticsearch so that you can use the Elastic Stack to search, analyze, and visualize your host metrics. To create saved queries and add scheduled query groups, refer to Osquery.

To view more information about the query, click the Status tab. A query status can result in success, error (along with an error message), or pending (if the Elastic Agent is offline).

Other options include:

• View in Discover to search, filter, and view information about the structure of host metric fields. To learn more, refer to Discover.
• View in Lens to create visualizations based on your host metric fields. To learn more, refer to Lens.
• View the results in full screen mode.
• Add, remove, reorder, and resize columns.
• Sort field names in ascending or descending order.

There are a few reasons why you may see dashed lines in your charts.

In this example, the data emission rate is lower than the Lens chart interval. A dashed line connects the known data points to make it easier to visualize trends in the data.

The chart interval is automatically set depending on the selected time duration. To fix this problem, change the selected time range at the top of the page.

A solid line indicates that the chart interval is set appropriately for the data transmission rate. In this example, a solid line turns into a dashed line—​indicating missing data. You may want to investigate this time period to determine if there is an outage or issue.

In the screenshot below, the data emission rate is lower than the Lens chart interval and there is missing data.

This missing data can be hard to spot at first glance. The green boxes outline regular data emissions, while the missing data is outlined in pink. Similar to the above scenario, you may want to investigate the time period with the missing data to determine if there is an outage or issue.

In the Hosts view, you might see a question mark icon () before a host name with a tooltip note stating that the host has been detected by APM. When a host is detected by APM, but is not collecting full metrics (for example, through the system integration), it will be listed as a host with the partial metrics collected by APM.

This could mean that the APM agent has not been configured to use the correct host name. Instead, the host name might be the container name or the Kubernetes pod name.

To get the correct host name, you need to set some additional configuration options, specifically system.kubernetes.node.name as described in Kubernetes data.