A Tour of Google Cloud Hands-on Labs

Google Cloud Hands-on Labs emerge as the guiding compass for enthusiasts and professionals alike. Relying upon GCP labs helps to hone your practical skills and help in explore the GCP (Google Cloud Platform) in detail and pass the GCP Certification with flying colors.

In this Article, we take a tour of our Google Cloud hands-on labs, the benefits of taking hands-on labs, and steps to start with Google Cloud labs.

Google Cloud Hands-on Labs: An Overview

Google Cloud Hands-on Labs typically offer a practical, interactive way for users to explore and gain hands-on experience with various GCP services and solutions. These Google Cloud self-paced labs are designed to cover a wide range of topics, from basic concepts to advanced use cases, allowing users to familiarize themselves with the GCP environment and its services.

Our Google Cloud hands-on labs offer a variety of topics related to GCP, including but not limited to:

•  Computing
•  Storage
• Databases
• Machine learning
• Networking
• security

What are the benefits of taking Google Hands-on Labs?

Exploring our Google Hands-on Labs offers a dynamic and immersive learning experience within the Google Cloud Platform (GCP). Google Cloud Labs offers self-paced learning opportunities.

Let’s delve into the key benefits of taking Google Hands-on Labs: 🚀

1. Gain GCP Knowledge 🧠Google Cloud Hands-on Labs offer a rich repository of practical learning opportunities.Step-by-step approach for real-world scenarios and tasks.Tailored labs for all skill levels and learning objectives.
2. Dive into the Depths of GCP Expertise 🌐Encompass a diverse spectrum of GCP topics.Gain proficiency in essential cloud computing concepts.Labs cover deploying virtual machines, data analytics, and building serverless applications.
3. Explore the Realms of GCP Infrastructure ⚙️Delve into the intricacies of GCP infrastructure.Hands-on experience with Compute Engine, Cloud Storage, and Kubernetes Engine.Equip yourself with skills for scalable and resilient cloud infrastructure solutions.
4. Harness the Power of GCP Data Analytics 📊Unleash the power of data with labs focused on BigQuery, Dataflow, and Dataproc.Practical understanding of data ingestion, transformation, and analysis.Extract valuable insights from your data.
5. Master the Art of GCP Serverless Computing ☁️Navigate the realm of serverless computing with labs on Cloud Functions and Cloud Run.Build and deploy scalable, cost-efficient serverless applications.No burden of managing infrastructure.
6. Embark on a Journey of Certification Readiness 🏆Gain practical knowledge and confidence to ace Google Cloud certifications.Labs align with exam objectives for a focused preparation strategy.
7. Embrace the Benefits of Self-Paced Learning 🕰️Flexibility to adapt the learning process to your schedule and preferences.Work through labs at your own pace, reinforcing concepts as needed.
8. Harness the Power of Immediate Feedback 🔄Receive immediate feedback on lab activities.Identify areas for improvement and solidify your understanding.Interactive approach for effective learning.
9. Enjoy a Cost-Effective Learning Experience 💸Cost-effective alternative to traditional training methods.No need to invest in expensive cloud infrastructure or software.Virtual environment provided for hands-on practice.
10. Empowering your cloud computing journey 🚀Enhance career prospects, upskill for new opportunities, or explore cloud computing.Whizlabs Google Cloud Hands-on Labs as an invaluable resource.Comprehensive coverage, self-paced learning, and immediate feedback mechanisms empower you to excel in the cloud computing domain.

Navigating our Google Cloud Hands-on Labs:

We offer various Google Cloud hands-on labs for you to improvise your practical skills. Let’s explore some of the Google Cloud labs covering different services.

1.  Automate Deployments in GKE with the usage of CircleCI
2. Using Cloud Scheduler with the Cloud Functions
3. Implementing a To-Do App on GKE
4. Object Versioning in Google Cloud Storage
5. Automating Infrastructure Provisioning using Terraform

Now we are going to explore the Google hands-on labs by following the below steps:

To access the Google Hands-on Labs on our platform, follow these steps:

• Start by navigating to the “Labs” section within your selected course. Choose a lab that interests you, such as “Using Cloud DNS with GKE,” and click the “Start Lab” button.

• Inside the lab, you’ll find a series of tasks with step-by-step instructions. Your goal is to complete these tasks to successfully Cloud DNS.
• In the first task, your objective is to log into the Google Cloud console. Input your login credentials, ensuring accuracy. After entering your credentials, you’ll be directed to the console’s main page. Copy and paste the provided credentials after clicking “Open Console.”

• Once you’ve familiarized yourself with the Connection Details panel, click the “Open Google Console” button to launch the Google Cloud sign-in page in a new browser tab.
• To sign in to Google Cloud, Copy the Username provided in the Connection Details section. Paste this Username into the “Email or phone” field on the Google Cloud sign-in page and press “Enter.”

• Next: a. Return to the Whizlabs lab page and copy the Password from the provided credentials. b. Paste this Password into the “Password” field on the Google Cloud sign-in page. c. Press “Enter” once more.
• By following these steps, you’ll successfully sign in to the Google Cloud Console using the provided credentials.
• If you have successfully logged in, your page should resemble the image shown below:
• From the top bar, click on the dropdown to select the project.

To create a Compute Engine VM

• Click on the hamburger icon in the top left corner.
• In the left sidebar, click on Compute Engine.

• On top, click on “Create Instance.”

• Enter the name as “whizlabs-instance.”

• In the machine configuration, select series as N1.
• Ensure the machine type is N1-Standard-1.
• Click on “Change” under the  Boot Disk.

• Select Ubuntu as the operating system, and for the version, choose “Ubuntu 23.04 x86/64.”

• Finally, Click on “Create.”

To create a MongoDB Atlas Cluster, follow the below steps:

• Visit the MongoDB Home Page using the provided link.

• Click on “Sign In” and use the lab-provided account to log in.

• Accept the terms and click on “Submit.”

• Fill out the Onboarding form and click on “Finish.”
• Click on “Access Advanced Configuration.”

• Select Shared type.

• For the Cloud Provider, choose Google Cloud.
• For the Region, select Iowa.

• Under Cluster details, enter Cluster Name as “whizlabs-cluster.”

• Click on “Create Cluster.”

• Enter the desired Username and Password, and click on “Create User.”

• Under IP Address, enter the External IP of the Compute Engine and Description as “GCP Compute Engine.”

• Click on “Finish and Close.”
• Click on “Go to Overview.”

• It will take around 2-3 minutes for the cluster to be provisioned.
• Once provisioned, click on “Load Sample Data” and wait for it to be loaded (around 5 minutes).

To connect to the DB Cluster from Compute Engine:

• Select SSH next to Compute engine.

• Click on “Authorize”.
• Update the system using the provided commands.

• Download mongosh CLI tool with the given command.

• Install mongosh CLI tool with the provided command.
• Verify the installation with mongosh –version.

• In the MongoDB tab, click on “Connect” and select Shell.

• Copy and paste the Connection string in the SSH window Compute Engine.

• Enter the password provided at cluster creation.

• Use the provided commands to change the working collection and query documents from the collections.

To terminate MongoDB Atlas Cluster:

• In the MongoDB tab, select Database under Deployment.

• Click on the three dots next to the cluster name.

• Click on “Terminate.”

• Enter the Cluster name and click on “Terminate.”

To validate the lab, follow below steps:

• Navigate back to the lab document and click on the “Validation” button from the right sidebar.
• Click on the “Validate My Lab” button.

• You will see the successful validation result “Lab Tasks Completed.”

Frequently Asked Questions(FAQs):

1) How can one gain practical experience with Google Cloud?

To gain hands-on experience with Google Cloud, consider utilizing the available practical labs online. Engaging in these labs provides a practical environment for learning and skill development.

2) Do professionals certified in Google Cloud use hands-on labs?

Yes, many Google Cloud Platform (GCP) certified professionals leverage hands-on labs to enhance their skills, tackle real-world challenges, and delve deeper into GCP’s products and services.

3) Which GCP services are covered in hands-on labs?

Hands-on labs typically cover a range of GCP services, including Google Compute Engine, Cloud Storage, API management, App Engine, and Data Analytics.

4) Are Google Cloud Labs free?

While some Google Cloud labs are free, a premium subscription may be required to access the full range of functionalities available in the Google Cloud platform.

Conclusion 🌐

We hope this journey through the Google Cloud Hands-on Labs has provided a firsthand experience of how to deploy virtual machines on Compute Engine and create MongoDB Atlas Clusters. 🚀

Whether you’re exploring the cloud for the first time or refining your expertise, Google Cloud Sandboxes are a commendable resource to sharpen your skills and stay ahead in the ever-evolving realm of cloud technology. 🛠️

Have questions? Feel free to leave them in the comments 💬, and we’ll respond promptly! 🤗