The Logs Dashboard provides a high-level overview into the health of the systems that are running within a Google Cloud project. It provides you with a visualization of the log severity fields for each resource within the Cloud project over time. This enables you to spot trends in the behavior of your systems, helping you monitor your workloads, and diagnose and resolve problems.
The Logs Dashboard only provides information for resources that are producing logs data.
Using the Logs Dashboard
To go to the Logs Dashboard, do one of the following:
Select Logs Dashboard from the Logging page:
Click the following button:
The Logs Dashboard is organized by pairs of charts for each resource type. The first chart shows all the logs related to a specific resource type broken down by severity, giving you an overview of how the log severities are distributed over time. The second chart displays only the error logs for that resource type.
The following screenshot shows one pair of charts:
The dashboard focuses on a set of resource types, each represented by a pair of charts. The pairs of charts are pre-ordered as follows:
Google Kubernetes Engine
Compute Engine
App Engine
Cloud Load Balancing
Cloud SQL
BigQuery
Viewing and analyzing logs
You can use the charts to explore the logs represented on the chart. This section describes how to use the charts.
You can view more detailed information about the distribution of the logs by holding the pointer over an individual bar. To view the log entries for a severity type in the Logs Explorer, select a log severity type on the chart, and then click View logs. This takes you to the Logs Explorer page and runs the corresponding query.
Click more_vert More chart options and select an action from the menu:
Download chart as PNG
View logs data in Metrics Explorer
Toggle the legend display
View the chart in full screen
For more information about viewing logs, see the Using the Logs Explorer interface and Logging query language pages.
Selecting a time rage
The charts on the Logs Dashboard show data for a one-day period by default. To change the time range, select the time-range menu and choose your desired time range or enter a custom time range.