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GCP PlayCloud Labs

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  1. GCP PlayCloud Labs
  2. Guided Lab: How to Launch a GCP Compute Engine Linux Instance
  3. Guided Lab: Creating a VM Using Instance Templates
  4. Guided Lab: Creating and Managing Instance Groups in Compute Engine
  5. Guided Lab: Creating a Spot VM Instance
  6. Guided Lab: Configuring Shielded VM Options
  7. Guided Lab: Exploring Instance Metadata in Google Cloud
  8. Guided Lab: Vertically Scaling a VM Instance
  9. Guided Lab: Setting up a Web Server on a VM Instance
  10. Guided Lab: Using Startup Scripts in GCP VM Instances
  11. Guided Lab: Creating a Custom Image from a VM Instance with Web Server in Google Cloud
  12. Guided Lab: Creating VM Snapshots and Restoring a VM from a Snapshot
  13. Guided Lab: Setting Up and Managing a Database on a VM Instance
  14. Guided Lab: Installing WordPress on an Ubuntu VM Instance with LEMP Stack
  15. Guided Lab: Deploying a LAMP Stack on a Compute Engine VM
  16. Guided Lab: Reserving or Promoting a Static IP Address for a VM Instance
  17. Guided Lab: SSH Access to GCP VM Instance from Local Machine using SSH Key Pair
  18. Guided Lab: Guarding Your VM with Deletion Protection
  19. Guided Lab: Setting Up a Linux Bastion Host on GCP
  20. Guided Lab: Creating a Cloud Storage Bucket
  21. Guided Lab: Uploading, Organizing, and Managing Objects in Cloud Storage
  22. Guided Lab: Exploring Google Cloud Storage Classes
  23. Guided Lab: Hosting a Static Website in Google Cloud Storage Bucket
  24. Guided Lab: Protecting Data on Cloud Storage Bucket Against Accidental Delete and Overwrite Using Object Versioning
  25. Guided Lab: Using Cloud Storage Lifecycle Rules to Automate Object Management
  26. Guided Lab: Managing Cloud Storage Buckets via SSH Commands
  27. Guided Lab: Creating a Cloud SQL Instance
  28. Guided Lab: Running SQL Commands in Cloud SQL Studio
  29. Guided Lab: Creating and Restoring Cloud SQL Backups
  30. Guided Lab: Integrating Cloud SQL Database instance with a VM instance
  31. Guided Lab: Connecting Cloud SQL Database with MySQL Workbench (Local)
  32. Guided Lab: Guarding Your Cloud SQL Instances with Deletion Protection
  33. Guided Lab: Creating a Cloud NAT Gateway
  34. Guided Lab: Creating a Google Kubernetes Engine (GKE) Cluster
  35. Guided Lab: Connecting to a Kubernetes Engine Cluster
  36. Guided Lab: Deploying a Simple Web Application on GKE
  37. Guided Lab: Creating a Custom Virtual Private Cloud (VPC)
  38. Guided Lab: Establishing VPC Peering for Secure Cross‑Network Communication
  39. Guided Lab: Configuring Firewall Rules to Secure and Access a VM
  40. Guided Lab: Creating an Application Load Balancer
  41. Guided Lab: Creating a Network Load Balancer
Lesson 25 of 41
In Progress

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.

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