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Before you begin
- Labs create a Google Cloud project and resources for a fixed time
- Labs have a time limit and no pause feature. If you restart it, you'll have to start from the beginning.
- On the top left of your screen, click Start lab to begin
Creating a Cloud Function
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Create logs-based metric
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In this lab you use Cloud Monitoring to view Cloud Functions details in the Google Cloud console. The Cloud Function details include execution times and counts, and memory usage.
In this lab, you learn how to perform the following tasks:
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.
This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.
To complete this lab, you need:
Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method. On the left is the Lab Details pane with the following:
Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).
The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Arrange the tabs in separate windows, side-by-side.
If necessary, copy the Username below and paste it into the Sign in dialog.
You can also find the Username in the Lab Details pane.
Click Next.
Copy the Password below and paste it into the Welcome dialog.
You can also find the Password in the Lab Details pane.
Click Next.
Click through the subsequent pages:
After a few moments, the Google Cloud console opens in this tab.
Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.
Click Activate Cloud Shell at the top of the Google Cloud console.
Click through the following windows:
When you are connected, you are already authenticated, and the project is set to your Project_ID,
gcloud
is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
Output:
Output:
gcloud
, in Google Cloud, refer to the gcloud CLI overview guide.
Before you collect logs and alerts, you need something to monitor. In this section, you create a Hello World cloud function to monitor.
In the Cloud console, select Navigation menu () > View All Products > Cloud Run Functions, and then Create function.
Set the following:
Expand Runtime, build, connections and security settings. Under Autoscaling, set the Maximum number of instances to 5.
Click Next.
The cloud function automatically deploys and is listed on the Cloud Function page. This takes a few minutes. When you see a green check mark next to the name, the cloud function is complete.
Test completed task
Click Check my progress to verify your performed task. If you have completed the task successfully you will be granted an assessment score.
Trigger
tab. Click the Trigger URL for your function.If you see Hello World!
in the new browser tab that opens, you're up and running!
Now you'll create a Distribution type logs based metric using a regular expression to extract the value of latency from the log entries textPayload
field.
In the console, select Navigation menu > View All Products > Observability > Logging > Logs Explorer. The Cloud Logging opens in the console.
To look at just the logs from your Cloud Function, in the All resources dropdown, select Cloud Function > helloWorld then click Apply.
Click Run query.
In Actions dropdown Click Create metric.
In the Create log-based metric form:
The log-based metric should look like this:
Now you'll see your user-defined metric added to your Logs-based Metrics page.
Test completed task
Click Check my progress to verify your performed task. If you have completed the task successfully you will be granted an assessment score.
Next, use Metrics Explorer to look at the data for your cloud function.
Set up a Monitoring Metrics Scope that's tied to your Google Cloud Project. The following steps create a new account that has a free trial of Monitoring.
When the Monitoring Overview page opens, your metrics scope project is ready.
In the left menu, click Metrics explorer.
Under Select a Metric > Metric dropdown start typing executions
and then select Cloud Function > Function > Executions from the suggested metrics and click Apply.
On the top right corner change the widget type to Stacked bar chart using the dropdown menu.
Explore other graph options, try a different metric. For example, click your current Cloud function - Executions metric to open the dropdown, select Execution times, and change the widget type to Heatmap.
Continue to explore and experiment. For example, go back to the Executions metric and change the Grouping function to the 95th percentile. Select the widget type Line chart.
Creating charts on the Monitoring Overview window is a great way to track metrics that are important to you. In this section, you set up the same charts you created in the previous section, but now they'll be saved into the Monitoring Overview window.
In the left menu, click Dashboards.
Click on + Create dashboard.
Click on + Add widget.
Under Visualization, select Stacked bar.
Under Select a metric > Metric dropdown select the default VM instance > CPU > CPU utilization metric to open the dropdown and change the metric. Click Apply.
Active
Start typing executions
into the Metric dropdown, and then select Cloud Function > Function > Executions from the suggested metrics and click Apply.
Click APPLY in the upper right corner.
After you create the first chart, click + Add widget > Heatmap to create the next one.
Under Select a metric > Metric dropdown select the default VM INSTANCE > Vm_flow > RTT LATENCIES metric to open the dropdown and change the metric. Click Apply.
Active
Start typing execution times
into the Metric dropdown, and then select Cloud Function > Function > Execution times from the suggested metrics and click Apply.
Click APPLY in the upper right corner.
By default, the charts name themselves after the metric you're using, but you can rename them.
For a quick reference, to see these charts click Dashboards in the left panel of the Monitoring page.
Below are multiple-choice questions to reinforce your understanding of this lab's concepts. Answer them to the best of your abilities.
Congratulations! In this lab, you created a Cloud Function, created a logs-based metric, used Metrics Explorer, and created charts on the Monitoring Overview window.
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Manual Last Updated December 18, 2024
Lab Last Tested December 18, 2024
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