The following sections describe various ways that Performance Dashboard can help you. This page describes Google Cloud performance use cases. For project performance, see Project performance use cases.
Performance diagnostics: Is it the project or Google Cloud?
You observe latency or packet loss values in your project, and you want to validate and compare against reference data outside of your projects. The Performance for all of Google Cloud view in Performance Dashboard lets you correlate per-project network performance, such as VM-to-VM packet loss or latency, to performance over all of Google Cloud, to show packet loss and latency across all relevant Google Cloud infrastructure.
In the following example, you can see that Google Cloud traffic experienced
packet loss recently. By holding the pointer over the chart, you can see that
the peak loss occurred between
asia-northeast3-b at 2:26 PM.
If your project's issues correspond to this time and location, you save
troubleshooting time because the issues impact all of Google Cloud.
Holding the pointer over a time series shows data for the source and destination. To show the chart legend, you click the Show Legend button on the time series chart. Holding the pointer over a zone pair in the legend highlights the time series data for that pair.
To see all the areas where the packet loss issue occurred at 2:26 PM, you update the heatmap by moving the time selector on the time series chart.
Scenario: Validate if the project performance differs from Google Cloud
Using the per-project Performance Dashboard in the Network Intelligence Center, you identified a region or zone pair with high latency or packet loss. You want to see if they differ significantly from the Google Cloud average.
Hold the pointer over the region or zone pair that you want to validate. You can see the value of latency or packet loss for your project and the value of the Google Cloud average for the same pair underneath. If they are similar, it indicates that the performance observed in your projects is similar to the average across all projects within the same region or zone pair.
Scenario: Investigate current high latency or packet loss issue
You identified the region or zone pairs with high packet loss or latency, and you want to compare those with the overall Google Cloud values. You can refine the Google Cloud performance view of Performance Dashboard by using the source and destination region selection capability. There are two ways in which you can refine the Google Cloud performance view:
To view data for specific regions, you select the regions from the Locations menu. You can select up to five regions.
To view zone-to-zone data for a region pair, you click the square in the regional heatmap that corresponds to the region pair.
With both selection methods, the time series data and heatmap for the
selected pairs are displayed. In the following example, you selected
Scenario: Investigate historic high latency or packet loss issue
If you want to investigate a specific time slot in which you observed abnormal latency or packet loss values, you can use the time zoom in the time series. In this example, you have selected 30 days.
You can further refine the time selection by clicking and dragging on the time series chart to select the days or hours related to your investigation.
The chart displays the data for Monday the 9th through Friday the 13th. You can pinpoint a modest spike in latency on November 11 at 8:15 AM.
Workload optimization: Planning for performance
The Google Cloud performance view provides an average performance view for selected region/zone pairs. You can use the Google Cloud performance view in the Network Intelligence Center in the Google Cloud console to plan the performance management of your applications. The Google Cloud performance view helps you to identify the best regions and zones to deploy new resources or to optimize your existing workloads. For example, you are currently running in specific zones and regions, but you know they are accessed by users or other workloads from other regions.
Scenario: Understand performance in new zones and regions
You want to add workloads to a region, and you want to know which zone best serves your requirements.
You use the source and destination region selection menu to select source-destination pairs where you want to see the global average metrics for latency or packet loss.
To view the zones within a region pair, you select the region pair from the heatmap.
In this example, you clicked the heatmap square for the region pair
asia-northeast3 and adjusted the time selector to 30 days.
Scenario: View historical data for regions or zone pairs
Use the time series chart capability to display historical data for selected
zone pairs. In this example, you can see the heatmap square for the zone pair
asia-northeast3-a and the time selector adjusted to 30