GCP PlayCloud Labs
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GCP PlayCloud Labs
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Guided Lab: How to Launch a GCP Compute Engine Linux Instance
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Guided Lab: Creating a VM Using Instance Templates
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Guided Lab: Creating and Managing Instance Groups in Compute Engine
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Guided Lab: Creating a Spot VM Instance
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Guided Lab: Configuring Shielded VM Options
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Guided Lab: Exploring Instance Metadata in Google Cloud
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Guided Lab: Vertically Scaling a VM Instance
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Guided Lab: Setting up a Web Server on a VM Instance
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Guided Lab: Using Startup Scripts in GCP VM Instances
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Guided Lab: Creating a Custom Image from a VM Instance with Web Server in Google Cloud
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Guided Lab: Creating VM Snapshots and Restoring a VM from a Snapshot
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Guided Lab: Setting Up and Managing a Database on a VM Instance
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Guided Lab: Installing WordPress on an Ubuntu VM Instance with LEMP Stack
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Guided Lab: Deploying a LAMP Stack on a Compute Engine VM
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Guided Lab: Reserving or Promoting a Static IP Address for a VM Instance
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Guided Lab: SSH Access to GCP VM Instance from Local Machine using SSH Key Pair
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Guided Lab: Guarding Your VM with Deletion Protection
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Guided Lab: Setting Up a Linux Bastion Host on GCP
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Guided Lab: Creating a Cloud Storage Bucket
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Guided Lab: Uploading, Organizing, and Managing Objects in Cloud Storage
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Guided Lab: Exploring Google Cloud Storage Classes
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Guided Lab: Hosting a Static Website in Google Cloud Storage Bucket
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Guided Lab: Protecting Data on Cloud Storage Bucket Against Accidental Delete and Overwrite Using Object Versioning
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Guided Lab: Using Cloud Storage Lifecycle Rules to Automate Object Management
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Guided Lab: Managing Cloud Storage Buckets via SSH Commands
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Guided Lab: Creating a Cloud SQL Instance
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Guided Lab: Running SQL Commands in Cloud SQL Studio
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Guided Lab: Creating and Restoring Cloud SQL Backups
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Guided Lab: Integrating Cloud SQL Database instance with a VM instance
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Guided Lab: Connecting Cloud SQL Database with MySQL Workbench (Local)
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Guided Lab: Guarding Your Cloud SQL Instances with Deletion Protection
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Guided Lab: Creating a Cloud NAT Gateway
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Guided Lab: Creating a Google Kubernetes Engine (GKE) Cluster
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Guided Lab: Connecting to a Kubernetes Engine Cluster
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Guided Lab: Deploying a Simple Web Application on GKE
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Guided Lab: Creating a Custom Virtual Private Cloud (VPC)
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Guided Lab: Establishing VPC Peering for Secure Cross‑Network Communication
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Guided Lab: Configuring Firewall Rules to Secure and Access a VM
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Guided Lab: Creating an Application Load Balancer
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Guided Lab: Creating a Network Load Balancer
Guided Lab: Using Cloud Storage Lifecycle Rules to Automate Object Management
Description
Cloud Storage lifecycle rules help you automate object management by defining policies for retention, deletion, or moving files to different storage classes based on age or conditions. These rules are useful for managing backups, log files, or temporary data efficiently without manual intervention.
In this guided lab, you will use the Google Cloud Console to create a bucket, upload sample files, and configure lifecycle rules to automatically delete objects after a set number of days. By the end of this lab, you will understand how to use lifecycle policies to reduce storage costs and simplify data management.
Prerequisites
This lab assumes you are familiar with navigating the Google Cloud Console and basic Google Cloud Storage concepts.
If you find any gaps in your knowledge, consider taking the following lab/s:
Objectives
In this lab, you will:
- Create a Cloud Storage bucket
- Upload sample objects to the bucket
- Configure lifecycle rules to automate object deletion
- Verify that the lifecycle rules are applied correctly
Lab Steps
Creating a Cloud Storage Bucket
1. In the Google Cloud Console, use the search bar to navigate to Cloud Storage

2. Go to the Buckets tab, then click Create or Create bucket.

3. Configure the bucket with your own unique bucket name, leave the other settings at their default values, then click Create

4. Tick “Enforce public access prevention on this bucket”.

5. Confirm that the bucket was created and appears in your list of buckets.

Uploading sample objects to your Bucket
1. Create the following sample files on your local machine:

- demo1.txt contains “Temporary file 1”
- demo2.txt contains “Temporary file 2”
2. Open your newly created bucket in the console. Click Upload files, then select the files you created in the previous step.


3. Verify that the files now appear in your bucket.

Configuring Lifecycle Rules
1. While inside the bucket, go to the Lifecycle tab, then click Add a rule.

2. Configure the following in the object lifecycle rule:


- Select an action: Delete object
- Select object conditions
- Select Rule Scopes: None (this will make it automatically apply to all objects in the bucket)
- Select Conditions:
- Age: 1 day
- Once done, click Create
3. Verify that the rule appears in the Lifecycle rules list.

To verify if the created lifecycle rule works, refresh your bucket after 1 day (or once the objects meet the condition you’ve set) and confirm that the appropriate files have been deleted.
You’ve successfully created a Cloud Storage bucket, uploaded objects, and configured lifecycle rules using the Google Cloud Console. This guided lab helps you understand how to automate data retention and deletion, reduce storage costs, and manage objects efficiently. You can apply these same concepts to logs, backups, or temporary files in real-world projects, and in future labs, you’ll explore more advanced lifecycle actions, such as changing storage classes or archiving objects.