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.