Overview

Log Management is crucial for handling logs generated by various systems, enabling efficient troubleshooting, issue resolution, and security audits. Logs contain transaction details that help identify and resolve issues quickly. Log Management systems correlate logs with observability data for rapid root cause detection. Logs are essential for security investigations, and Log Management systems aid in threat detection, compliance tracking, and security monitoring.

Once log management is enabled for your organization, you can create a logs monitor to alert you when a specified type of log exceeds a user-defined threshold over a given period of time. The logs monitor only evaluates indexed logs.

Monitor creation

To create a logs monitor in Datadog, use the main navigation: Monitors –> New Monitor –> Logs.

Define the search query

As you define the search query, the graph above the search fields updates.

1. Construct a search query using the same logic as a Log Explorer search.

2. Choose to monitor over a log count, facet, an attribute, or measure:

   • Monitor over a log count: Use the search bar (optional) and do not select an attribute or measure. Datadog evaluates the number of logs over a selected time frame, then compares it to the threshold conditions.
   • Monitor over a facet or an attribute: If a an attribute is selected, the monitor alerts over the Unique value count of the attribute. For example, if you have an attribute such as user.email, the unique value count is the number of unique user emails. Any attribute can be used in a monitor, but only facets are shown in the autocompletion.
   • Monitor over measure: If a measure is selected, the monitor alerts over the numerical value of the log facet (similar to a metric monitor) and aggregation needs to be selected (min, avg, sum, median, pc75, pc90, pc95, pc98, pc99, or max).

3. Group logs by multiple dimensions (optional):

   All logs matching the query are aggregated into groups based on the value of up to four log facets. When there are multiple dimensions, the top values are determined according to the first dimension, then according to the second dimension within the top values of the first dimension, and so on up to the last dimension. Dimensions limit depends on the total number of dimension:

   • 1 facet: 1000 top values
   • 2 facets: 30 top values per facet (at most 900 groups)
   • 3 facets: 10 top values per facet (at most 1000 groups)
   • 4 facets: 5 top values per facet (at most 625 groups)

4. Configure the alerting grouping strategy (optional):

   • Simple-Alert: Simple alerts aggregate over all reporting sources. You receive one alert when the aggregated value meets the set conditions. This works best to monitor a metric from a single host or the sum of a metric across many hosts. This strategy may be selected to reduce notification noise.
   • Multi Alert: Multi alerts apply the alert to each source according to your group parameters. An alerting event is generated for each group that meets the set conditions. For example, you could group system.disk.in_use by device to receive a separate alert for each device that is running out of space.

Set alert conditions

• Trigger when the metric is above, above or equal to, below, or below or equal to
• the threshold during the last 5 minutes, 15 minutes, 1 hour, etc. or custom to set a value between 5 minutes and 2 days.
• Alert threshold <NUMBER>
• Warning threshold <NUMBER>

No data and below alerts

NO DATA is a state given when no logs match the monitor query during the timeframe.

To receive a notification when all groups matching a specific query have stopped sending logs, set the condition to below 1. This notifies when no logs match the monitor query in a given timeframe across all aggregate groups.

When splitting the monitor by any dimension (tag or facet) and using a below condition, the alert is triggered if and only if there are logs for a given group, and the count is below the threshold—or if there are no logs for all of the groups.

Examples:

• This monitor triggers if and only if there are no logs for all services:

• This monitor triggers if there are no logs for the service backend:

Advanced alert conditions

For detailed instructions on the advanced alert options (evaluation delay, new group delay, etc.), see the Monitor configuration page.

Notifications

For detailed instructions on the Configure notifications and automations section, see the Notifications page.

Log samples and breaching values toplist

When a logs monitor is triggered, samples or values can be added to the notification message. Logs without a message are not included in samples. In order to add the content of a log attribute to the monitor’s message, use Log monitor template variables directly in the monitor’s message body.

These are available for notifications sent to Slack, Jira, webhooks, Microsoft Teams, Pagerduty, and email. Note: Samples are not displayed for recovery notifications.

To disable log samples, uncheck the box at the bottom of the Say what’s happening section. The text next to the box is based on your monitor’s grouping (as stated above).

Examples

Include a table of the top 10 breaching values:

Include a sample of 10 logs in the alert notification:

Further Reading

추가 유용한 문서, 링크 및 기사:

Logs Management OverviewDOCUMENTATION Configure your monitor notificationsDOCUMENTATION Schedule a downtime to mute a monitorDOCUMENTATION Check your monitor statusDOCUMENTATION Use CIDR notation queries to filter your network traffic logsBLOG