Cloud SQL pricing in GCP - Commands & Configuration

Introduction

Cloud SQL pricing helps you understand how much it costs to run a managed database in Google Cloud. It shows the price based on the resources you use, like storage, CPU, and network traffic.

When you want to estimate the monthly cost before creating a Cloud SQL instance.

When you need to compare costs between different database sizes or machine types.

When you want to control your budget by choosing the right storage and CPU options.

When you want to understand how backups and network usage affect your bill.

When you plan to optimize your database setup to reduce costs.

Commands

This command shows the configuration details of your Cloud SQL instance, which helps you understand what resources are being used and how pricing applies.

Terminal

gcloud sql instances describe example-instance --format=json

Expected Output

{

  "name": "example-instance",

  "databaseVersion": "POSTGRES_14",

  "settings": {

    "tier": "db-custom-2-7680",

    "dataDiskSizeGb": 100,

    "dataDiskType": "PD_SSD",

    "activationPolicy": "ALWAYS",

    "backupConfiguration": {

      "enabled": true,

      "startTime": "03:00"

    }

  },

  "region": "us-central1"

}

→

--format=json - Outputs the instance details in JSON format for easy reading and parsing.

This command lists recent operations on your Cloud SQL instance, including backups and maintenance, which can affect pricing.

Terminal

gcloud sql operations list --instance=example-instance

Expected Output

NAME          TYPE          STATUS    START_TIME           END_TIME

operation-1   BACKUP_RUN   SUCCESS   2024-06-01T03:00:00Z 2024-06-01T03:10:00Z

operation-2   UPDATE       SUCCESS   2024-05-25T12:00:00Z 2024-05-25T12:05:00Z

This command shows all your Cloud SQL instances with their basic info, helping you track how many instances you have that contribute to your costs.

Terminal

gcloud sql instances list

Expected Output

NAME               REGION        DATABASE_VERSION

example-instance    us-central1   POSTGRES_14

Key Concept

If you remember nothing else from Cloud SQL pricing, remember: your cost depends on the machine type, storage size and type, backups, and network usage.

Common Mistakes

Ignoring backup configuration costs

Backups use storage and can increase your bill if not managed properly.

Check backup settings and storage usage regularly to control costs.

Choosing a machine type without considering workload needs

Over-provisioning CPU and memory leads to unnecessary expenses.

Select machine types that match your actual database workload.

Not monitoring network egress charges

Data sent outside Google Cloud can add to your bill unexpectedly.

Review network usage and optimize data transfer to reduce costs.

Summary

Use 'gcloud sql instances describe' to see your instance's resource settings that affect pricing.

Check recent operations like backups with 'gcloud sql operations list' to understand additional costs.

List all instances with 'gcloud sql instances list' to track your total Cloud SQL usage.

Practice

1. Which factor does NOT directly affect the pricing of a Cloud SQL instance?

easy

A. The amount of network egress traffic

B. The amount of storage used

C. The size of the instance (CPU and RAM)

D. The number of users accessing the database

Solution

1. Step 1: Identify pricing factors for Cloud SQL

   Cloud SQL pricing depends on instance size, storage, backups, and network usage.

2. Step 2: Analyze the impact of users

   The number of users does not directly affect pricing; costs are based on resources used, not user count.

3. Final Answer:

   The number of users accessing the database -> Option D

4. Quick Check:

   Users do not affect pricing directly [OK]

Hint: Focus on resource usage, not user count, for pricing [OK]

Common Mistakes:

• Thinking more users always increase cost directly
• Confusing network traffic with user count
• Ignoring storage and instance size impact

2. Which of the following is the correct way to describe Cloud SQL pricing components?

easy

A. Pricing depends only on the number of database queries.

B. Pricing is fixed monthly regardless of usage.

C. Pricing is based on instance size, storage, backups, and network usage.

D. Pricing is based solely on the number of database users.

Solution

1. Step 1: Recall Cloud SQL pricing components

   Cloud SQL pricing includes instance size, storage, backups, and network usage.

2. Step 2: Compare options to pricing facts

   Only Pricing is based on instance size, storage, backups, and network usage. correctly lists the main pricing factors; others are incorrect or incomplete.

3. Final Answer:

   Pricing is based on instance size, storage, backups, and network usage. -> Option C

4. Quick Check:

   Pricing components = instance size, storage, backups, network [OK]

Hint: Remember pricing depends on resources, not fixed or query count [OK]

Common Mistakes:

• Assuming pricing is fixed monthly
• Confusing query count with pricing
• Ignoring backups and network costs

3. A Cloud SQL instance uses 4 vCPUs and 15 GB RAM, with 100 GB storage and 10 GB network egress. Which cost factor will likely be the highest contributor to the monthly bill?

medium

A. Instance size (CPU and RAM)

B. Storage

C. Network egress

D. Backups

Solution

1. Step 1: Analyze resource usage

   Instance size with 4 vCPUs and 15 GB RAM is a significant resource, usually costing more than storage or network for moderate usage.

2. Step 2: Compare other factors

   Storage of 100 GB and network egress of 10 GB are moderate; backups cost depends on backup size but usually less than instance size.

3. Final Answer:

   Instance size (CPU and RAM) -> Option A

4. Quick Check:

   Instance size usually costs most [OK]

Hint: Instance size usually dominates cost over storage and network [OK]

Common Mistakes:

• Overestimating network egress cost
• Ignoring instance size impact
• Assuming backups cost more than instance

4. You configured a Cloud SQL instance with 2 vCPUs and 7.5 GB RAM, but your monthly bill is unexpectedly high. Which of the following could be a likely cause?

medium

A. You set the instance size to 1 vCPU instead of 2.

B. You enabled automated backups with large backup storage.

C. You reduced network egress to zero.

D. You deleted all storage volumes.

Solution

1. Step 1: Identify possible cost causes

   Automated backups can increase storage costs significantly if backup size is large.

2. Step 2: Evaluate other options

   Setting instance size smaller reduces cost, reducing network egress lowers cost, deleting storage is not possible without data loss and would not increase cost.

3. Final Answer:

   You enabled automated backups with large backup storage. -> Option B

4. Quick Check:

   Backups can increase cost unexpectedly [OK]

Hint: Check backup storage size if bill is high unexpectedly [OK]

Common Mistakes:

• Assuming smaller instance size increases cost
• Ignoring backup storage impact
• Thinking deleting storage increases cost

5. You want to minimize your Cloud SQL monthly cost while maintaining performance. Which combination of actions is best?

hard

A. Choose an appropriate instance size, use balanced storage type, and schedule backups during off-peak hours.

B. Choose a larger instance size, use HDD storage, and disable backups.

C. Choose the smallest instance size, disable backups, and ignore network usage.

D. Choose a smaller instance size, use SSD storage, and enable automated backups.

Solution

1. Step 1: Balance instance size and storage

   Choosing an appropriate instance size and balanced storage optimizes cost and performance.

2. Step 2: Manage backups smartly

   Scheduling backups during off-peak hours reduces performance impact and controls costs without disabling backups.

3. Final Answer:

   Choose an appropriate instance size, use balanced storage type, and schedule backups during off-peak hours. -> Option A

4. Quick Check:

   Balance resources and backup timing for cost and performance [OK]

Hint: Balance size, storage, and backup timing for best cost [OK]

Common Mistakes:

• Choosing smallest instance ignoring performance
• Disabling backups risking data loss
• Ignoring storage type impact