Function runtime environments in GCP - Commands & Configuration

Introduction

When you want to run small pieces of code in the cloud without managing servers, you use function runtime environments. These environments provide the software and settings your code needs to run smoothly.

When you want to run code that responds to events like file uploads or messages.

When you need to run code without worrying about the underlying servers or infrastructure.

When you want to quickly deploy small, single-purpose functions.

When you want to scale your code automatically based on demand.

When you want to use popular programming languages supported by the cloud provider.

Config File - function.yaml

function.yaml

name: projects/example-project/locations/us-central1/functions/my-function
runtime: python39
entryPoint: hello_world
httpsTrigger: {}
sourceArchiveUrl: gs://example-bucket/my-function-source.zip

name: The full path to your function including project and location.

runtime: The language and version your function uses, here Python 3.9.

entryPoint: The name of the function to run when triggered.

httpsTrigger: Makes the function callable via HTTP.

sourceArchiveUrl: Location of your function code in cloud storage.

Commands

Deploys the function named 'my-function' using Python 3.9 runtime. It sets the function to be triggered by HTTP requests and specifies the source code location. The region is set to us-central1.

Terminal

gcloud functions deploy my-function --runtime python39 --trigger-http --entry-point hello_world --source gs://example-bucket/my-function-source.zip --region us-central1

Expected Output

Deploying function (may take a while)...done.

availableMemoryMb: 256

entryPoint: hello_world

httpsTrigger:

  url: https://us-central1-example-project.cloudfunctions.net/my-function

name: projects/example-project/locations/us-central1/functions/my-function

runtime: python39

status: ACTIVE

→

--runtime - Specifies the language and version for the function.

→

--trigger-http - Sets the function to be triggered by HTTP requests.

→

--entry-point - Defines the function name to execute.

Shows details about the deployed function, including its runtime environment and trigger URL.

Terminal

gcloud functions describe my-function --region us-central1

Expected Output

name: projects/example-project/locations/us-central1/functions/my-function

runtime: python39

entryPoint: hello_world

httpsTrigger:

  url: https://us-central1-example-project.cloudfunctions.net/my-function

status: ACTIVE

→

--region - Specifies the region where the function is deployed.

Calls the deployed function via its HTTP trigger URL to test if it runs correctly.

Terminal

curl https://us-central1-example-project.cloudfunctions.net/my-function

Expected Output

Hello, World!

Key Concept

If you remember nothing else from this pattern, remember: the runtime environment defines the language and settings your cloud function uses to run your code correctly.

Common Mistakes

Deploying the function without specifying the correct runtime flag.

The function will fail to deploy or run because the cloud does not know which language environment to use.

Always include the --runtime flag with the correct language and version when deploying.

Not specifying the trigger type, like --trigger-http, when deploying.

The function will not respond to the expected events or HTTP calls.

Specify the correct trigger flag to match how you want to invoke the function.

Summary

Use the gcloud deploy command with --runtime to set the function's language environment.

Check the function details with gcloud functions describe to confirm the runtime and trigger.

Test the function by calling its HTTP trigger URL to ensure it runs as expected.

Practice

1. What does the runtime setting specify when deploying a Google Cloud Function?

easy

A. The billing account used for the function

B. The memory size allocated to the function

C. The programming language and version environment for the function

D. The network settings for the function

Solution

1. Step 1: Understand the role of runtime in cloud functions

   The runtime defines the software environment, including language and version, where the function code runs.

2. Step 2: Identify what runtime affects

   It affects how the function interprets and executes your code, not memory or billing.

3. Final Answer:

   The programming language and version environment for the function -> Option C

4. Quick Check:

   Runtime = language environment [OK]

Hint: Runtime means language and version environment [OK]

Common Mistakes:

• Confusing runtime with memory allocation
• Thinking runtime sets network or billing
• Assuming runtime is optional for deployment

2. Which of the following is the correct way to specify the runtime when deploying a function using the gcloud CLI?

easy

A. gcloud functions deploy myFunc --version python39

B. gcloud functions deploy myFunc --language python39

C. gcloud functions deploy myFunc --env python39

D. gcloud functions deploy myFunc --runtime python39

Solution

1. Step 1: Recall the correct flag for runtime in gcloud CLI

   The flag to specify runtime is --runtime, followed by the language and version.

2. Step 2: Match the correct syntax

   gcloud functions deploy myFunc --runtime python39 uses --runtime python39, which is the correct syntax for Python 3.9 runtime.

3. Final Answer:

   gcloud functions deploy myFunc --runtime python39 -> Option D

4. Quick Check:

   Use --runtime to set language version [OK]

Hint: Use --runtime flag to set language version [OK]

Common Mistakes:

• Using --language instead of --runtime
• Using --env or --version flags incorrectly
• Omitting the runtime flag entirely

3. Given this deployment command:
gcloud functions deploy myFunc --runtime nodejs18 --trigger-http
What runtime environment will the function use?

medium

A. Node.js version 16

B. Node.js version 18

C. Python version 3.8

D. Go version 1.18

Solution

1. Step 1: Identify the runtime flag value

   The command uses --runtime nodejs18, which specifies Node.js version 18.

2. Step 2: Confirm the runtime matches the version

   Node.js 18 is the environment set, not Node.js 16 or other languages.

3. Final Answer:

   Node.js version 18 -> Option B

4. Quick Check:

   nodejs18 means Node.js 18 runtime [OK]

Hint: Runtime name includes language and version [OK]

Common Mistakes:

• Assuming nodejs18 means version 16
• Confusing Node.js with Python or Go runtimes
• Ignoring the runtime flag value

4. You try to deploy a function with this command:
gcloud functions deploy myFunc --runtime python39x --trigger-http
What is the most likely result?

medium

A. Deployment fails due to invalid runtime name

B. Deployment succeeds with Python 3.9 runtime

C. Deployment uses default runtime version

D. Deployment succeeds but function crashes at runtime

Solution

1. Step 1: Check the runtime flag value

   The runtime specified is python39x, which is not a valid runtime name.

2. Step 2: Understand deployment validation

   Google Cloud validates runtime names and will reject invalid ones, causing deployment failure.

3. Final Answer:

   Deployment fails due to invalid runtime name -> Option A

4. Quick Check:

   Invalid runtime name causes deployment failure [OK]

Hint: Invalid runtime names cause deployment errors [OK]

Common Mistakes:

• Assuming deployment uses default runtime silently
• Thinking deployment succeeds despite typo
• Ignoring error messages during deployment

5. You have a Cloud Function written in Python 3.9 but want to upgrade to Python 3.11 runtime. What is the best approach to update the runtime without changing your code?

hard

A. Redeploy the function using --runtime python311 flag

B. Edit the function code to specify Python 3.11 version

C. Change the memory allocation to trigger runtime update

D. Update the billing account to enable Python 3.11

Solution

1. Step 1: Understand how to change runtime version

   Runtime is set during deployment using the --runtime flag; code changes are not needed for version upgrade.

2. Step 2: Identify the correct deployment command

   Redeploying with --runtime python311 updates the runtime environment to Python 3.11.

3. Final Answer:

   Redeploy the function using --runtime python311 flag -> Option A

4. Quick Check:

   Use --runtime flag to upgrade runtime version [OK]

Hint: Redeploy with new --runtime flag to upgrade version [OK]

Common Mistakes:

• Editing code to change runtime version
• Changing memory or billing unrelated to runtime
• Assuming runtime upgrades automatically