
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
This lab was developed with our partner, Elastic. Your personal information may be shared with Elastic, the lab sponsor, if you have opted in to receive product updates, announcements, and offers in your Account Profile.
Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with a HTTP web interface and schema-free JSON documents.
In this lab you will focus on creating a simple Elasticsearch deployment, leveraging Google Cloud Platform. Once you have created your Elastic cluster you will explore a sample dataset and visualize the data in a dashboard.
In this lab, you learn how to perform the following tasks:
This is an introductory lab. No prior knowledge of Elastic and its various products and features are required, though basic system configuration, such as knowing how to run commands via. a Linux based command line, and editing text files using a Unix based text editor is advantageous, i.e. Vim.
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.
1.1 Sign up for a free trial.
1.1 Sign up using your personal email and a unique password. Do NOT click the "sign up with Google" button, click sign up with Email:
1.2 Enter some details about yourself and click Next.
1.3 Provide a unique name to the deployment, and click Create Deployment.
1.4 Save your deployment Credentials, you may need it later.
1.5 Click "Continue" to go to your elastic deployment.
2.1 In the Elastic home page, select "Try Sample Data".
2.2 Select "Start exploring".
2.3 Select the use case that is the most relevant to you. The remainder of the lab will follow the "Observability → Log analytics" use case.
2.4 Expand one of the transactions to see the fields you have to work with.
3.1 Select the Analytics "Dashboard".
3.2 Select the Dashboard that is the most relevant to you. This lab will use the "[Logs] Web Traffic dashboard".
3.3 Explore the dashboard and customize it
In this lab, you have created an Elasticsearch deployment on the Google Cloud Platform and explored data in Elastic through dashboards.
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Manual Last Updated October 11, 2023
Lab Last Tested October 11, 2023
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