Points de contrôle
Verify Prometheus service has been deployed
/ 33
Verify the application has been deployed
/ 33
Verify the Dashboard has been created in Cloud Monitoring
/ 34
Using Prometheus for Monitoring on Google Cloud: Qwik Start
GSP1024
Overview
Managed Service for Prometheus is Google Cloud's fully managed storage and query service for Prometheus metrics. This service is built on top of Monarch, the same globally scalable data store as Cloud Monitoring.
In this lab, you'll set up a Google Kubernetes Engine cluster, then deploy the Managed Service for Prometheus to ingest metrics from a simple application.
A thin fork of Prometheus replaces existing Prometheus deployments and sends data to the managed service with no user intervention. This data can then be queried by using PromQL through the Prometheus Query API supported by the managed service and by using the existing Cloud Monitoring query mechanisms.
Objectives
- Deploy the Managed Service for Prometheus to a GKE cluster.
- Deploy a Python application to monitor.
- Create a Cloud Monitoring dashboard to view metrics collected.
Setup and requirements
Before you click the Start Lab button
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 will be made available to you.
This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab.
To complete this lab, you need:
- Access to a standard internet browser (Chrome browser recommended).
- Time to complete the lab---remember, once you start, you cannot pause a lab.
How to start your lab and sign in to the Google Cloud console
-
Click the Start Lab button. If you need to pay for the lab, a pop-up opens for you to select your payment method. On the left is the Lab Details panel with the following:
- The Open Google Cloud console button
- Time remaining
- The temporary credentials that you must use for this lab
- Other information, if needed, to step through this lab
-
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.
Note: If you see the Choose an account dialog, click Use Another Account. -
If necessary, copy the Username below and paste it into the Sign in dialog.
{{{user_0.username | "Username"}}} You can also find the Username in the Lab Details panel.
-
Click Next.
-
Copy the Password below and paste it into the Welcome dialog.
{{{user_0.password | "Password"}}} You can also find the Password in the Lab Details panel.
-
Click Next.
Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials. Note: Using your own Google Cloud account for this lab may incur extra charges. -
Click through the subsequent pages:
- Accept the terms and conditions.
- Do not add recovery options or two-factor authentication (because this is a temporary account).
- Do not sign up for free trials.
After a few moments, the Google Cloud console opens in this tab.
Activate Cloud Shell
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.
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.
- (Optional) You can list the active account name with this command:
- Click Authorize.
Output:
- (Optional) You can list the project ID with this command:
Output:
gcloud
, in Google Cloud, refer to the gcloud CLI overview guide.
Task 1. Setup a Google Kubernetes Engine cluster
- Run the following command to deploy a standard GKE cluster, which will prompt you to authorize and enable the GKE API:
The cluster will take a couple of minutes to create. Wait for the creation to finish then proceed to the next step.
- Run the following command to authenticate to the cluster:
Task 2. Deploy the Prometheus service
- Run the following command to create a namespace to do the work in:
Task 3. Deploy the application
- Deploy a simple application which emits metrics at the
/metrics
endpoint:
- Verify that this simple Python Flask app is serving metrics with the following command:
Output will look like below:
- Tell Prometheus where to begin scraping the metrics from by applying the PodMonitoring file:
- Before finishing up here, generate some load on the application with a really simple interaction with the app:
This will run for 2 minutes, and when done, you can create a visualization of what this looks like!
Task 4. Observe the app via metrics
In this last section, use gcloud
to deploy a custom monitoring dashboard that shows the metrics from this application in a line chart.
- Run the following. Be sure to copy the entirety of this code block:
- Once created, navigate to Monitoring > Dashboards to see the newly created
Prometheus Dashboard Example
. Click through below to see how to get there.
Congratulations!
You've seen the basics of deploying a GKE app with Prometheus Metrics and creating a Cloud Monitoring Dashboard from it.
Next steps / Learn more
If you'd like to learn more, check out the Prometheus documentation and look for the deploying self-managed collection.
Google Cloud training and certification
...helps you make the most of Google Cloud technologies. Our classes include technical skills and best practices to help you get up to speed quickly and continue your learning journey. We offer fundamental to advanced level training, with on-demand, live, and virtual options to suit your busy schedule. Certifications help you validate and prove your skill and expertise in Google Cloud technologies.
Manual last updated: May 20, 2024
Lab last tested: May 20, 2024
End your lab
When you have completed your lab, click End Lab. Your account and the resources you've used are removed from the lab platform.
You will be given an opportunity to rate the lab experience. Select the applicable number of stars, type a comment, and then click Submit.
The number of stars indicates the following:
- 1 star = Very dissatisfied
- 2 stars = Dissatisfied
- 3 stars = Neutral
- 4 stars = Satisfied
- 5 stars = Very satisfied
You can close the dialog box if you don't want to provide feedback.
For feedback, suggestions, or corrections, please use the Support tab.
Copyright 2024 Google LLC All rights reserved. Google and the Google logo are trademarks of Google LLC. All other company and product names may be trademarks of the respective companies with which they are associated.