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description= Shows how to configure environment variables for your Cloud Run services using the Google Cloud console or gcloud CLI;
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Text of the page (random words):
r function overview compare cloud run functions write cloud run functions runtimes overview node js overview node js dependencies python overview python dependencies go overview go dependencies java overview java dependencies net ruby php local functions development function triggers tutorials create a function that returns bigquery results create a function that returns spanner results integrate with cloud databases codelabs build and test build sources to containers build functions to containers local testing serve http requests deploy services deploy container images continuous deployment from git deploy from source code deploy from compose use the cloud run remote mcp server deploy functions serve web traffic mapping custom domains serving static assets with cdn serving traffic from multiple regions automate failover with service health enable session affinity frontend proxying using nginx manage services view copy or delete services view or delete revisions traffic migration gradual rollouts rollbacks configure services overview capacity memory limits cpu limits gpu gpu configuration gpu performance best practices request timeout maximum concurrent requests about maximum concurrent requests per instance configure maximum concurrent requests billing optimize service configurations with recommender environment container port and entrypoint environment variables volume mounts cloud storage volumes nfs volumes in memory volumes cifs smb ephemeral disk execution environment sandboxes container health checks http 2 requests secrets service identity scaling about instance autoscaling for services maximum instances about maximum instances for services configure maximum instances minimum instances configure custom scaling controls manual scaling metadata description labels tags source deploy configurations supported language runtimes and base images configure automatic base image updates build environment variables build service account build worker pools invoke and trigger services invoke with https requests host a webhook target stream with websockets overview build a websocket chat service tutorial invoke asynchronously invoke services on a schedule create a workflow invoke services as part of a workflow connect a series of services from cloud functions and cloud run tutorial execute asynchronous tasks call a service from a pub sub push subscription trigger service from pub sub integrate image processing into pub sub sample tutorial trigger from events create triggers with eventarc pub sub triggers create pub sub eventarc triggers trigger functions from pub sub using eventarc trigger functions from routed log entries cloud storage triggers create triggers with cloud storage trigger services from cloud storage using eventarc trigger functions from cloud storage using eventarc firestore triggers create triggers with firestore trigger functions from events in a firestore database connect with other services using grpc best practices general development tips for services cost optimization optimize java services optimize python services optimize node js services load testing best practices understand zonal redundancy functions best practices overview configure event driven function retries execute job tasks to completion create jobs execute jobs execute jobs execute scheduled jobs execute jobs from workflows configure jobs container entrypoint cpu limits memory limits gpu gpu configuration gpu best practices environment variables container health checks volume mounts cloud storage volumes nfs volumes in memory volumes using cifs smb network file systems ephemeral disk labels maximum retries parallelism secrets service identity task timeout tags manage jobs view or delete jobs view or stop job executions best practices jobs retries and checkpoints cost optimization perform continuous background work deploy worker pools deploy worker pools deploy worker pools from source code manage worker pools view or delete worker pools view or delete worker pool revisions instance splits and rollbacks configure worker pools capacity memory limits cpu limits gpu gpu configuration gpu best practices environment container and entrypoint environment variables volume mounts cloud storage volumes nfs volumes in memory volumes using cifs smb network file systems ephemeral disk container health checks secrets service identity instance count metadata description labels scale based on external metrics autoscale worker pools with external metrics kafka autoscaler host github runners with worker pools autoscale worker pools based on prometheus metrics autoscale worker pools with pub sub pull subscriptions automate scaling with workflows cost optimization configure networking best practices for cloud run networking configure private networking send traffic to vpc network overview direct vpc register private ips for worker pools using cloud dns dual stack ipv4 and ipv6 migrate standard vpc connector to direct vpc vpc connectors send traffic to shared vpc network overview direct vpc migrate shared vpc connector to direct vpc connectors in service projects connectors in host project static outbound ip address network security restrict endpoint ingress services use vpc service controls vpc sc cloud service mesh secure security design overview authenticate requests overview allow public access custom audiences authenticate developers service to service authenticate users end user authentication tutorial secure your resources access control with iam configure iap for cloud run introduction to service identity protect services with cloud armor use binary authorization use cloud run threat detection use customer managed encryption keys manage custom constraints for projects view software supply chain security insights secure cloud run services tutorial multi tenant platforms running untrusted code monitor and log monitoring and logging overview view built in metrics write prometheus metrics write opentelemetry metrics log and view logs audit logging error reporting use distributed tracing for services run ai solutions overview explore resources ai agents overview build and deploy a2a agents overview deploy a2a agents build and deploy adk agents build and deploy n8n agents mcp servers overview build and deploy a remote mcp server tools code execution browser automation inference with gpus overview services run llm inference on cloud run gpus with ollama run agents with gemma 4 models on cloud run run opencv on cloud run with gpu acceleration run llm inference on cloud run gpus with hugging face transformers js jobs fine tune llms using gpus with cloud run jobs run batch inference using gpus with cloud run jobs gpu accelerated video transcoding with ffmpeg ai assisted development and vibe coding introduction to cloud run for ai assisted developers cookbook migrate an existing web service from app engine from cloud run functions 1st gen from aws lambda from heroku from cloud foundry migration overview choose an oci compliant strategy migrate to oci containers migrate configuration sample migration spring music from vmware tanzu from a vm using migrate to containers from kubernetes to gke troubleshoot introduction troubleshoot errors local troubleshooting tutorial known issues samples all cloud run code samples all cloud run functions code samples code samples for all products ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation application hosting cloud run guides send feedback configure environment variables for services stay organized with collections save and categorize content based on your preferences this page describes how to configure environment variables for your cloud run service by using the google cloud console or gcloud you can use environment variables for service configuration but we don t recommend them as a way to store secrets such as database credentials or api keys sensitive values should be stored outside both your source code and outside environment variables for storing secrets we recommend that you use secret manager to configure services for accessing secrets stored in secret manager see configure secrets any configuration change leads to the creation of a new revision subsequent revisions will also automatically get this configuration setting unless you make explicit updates to change it required roles to get the permissions that you need to configure and deploy cloud run services ask your administrator to grant you the following iam roles cloud run developer roles run developer on the cloud run service service account user roles iam serviceaccountuser on the service identity if you are deploying a service or function from source code you must also have additional roles granted to you on your project and cloud build service account for a list of iam roles and permissions that are associated with cloud run see cloud run iam roles and cloud run iam permissions if your cloud run service interfaces with google cloud apis such as cloud client libraries see the service identity configuration guide for more information about granting roles see deployment permissions and manage access warning if your cloud run service uses service identity to authenticate access to google cloud apis never set google_application_credentials as an environment variable on a cloud run service always configure a user managed service account instead maximum number of environment variables and limits you can set a maximum of 1000 environment variables for a cloud run service the maximum variable length is 32 kb set environment variables for services you can set environment variables for new and existing services note that the set env vars flag is a destructive action that deletes previously set environment variables not included in the new list of environment variables environment variables are bound to a specific service revision and are not visible to other services in your google cloud project you can set environment variables using the google cloud console the gcloud cli or a yaml file when you create a new service or deploy a new revision console in the google cloud console go to cloud run go to cloud run select services from the cloud run navigation menu and click deploy container to configure a new service if you are configuring an existing service click the service then click edit and deploy new revision if you are configuring a new service fill out the initial service settings page then click containers networking security to expand the service configuration page click the container tab in the variables secrets tab click add variable to add a new variable and specify the name you want for the variable and its value in the name and value fields for more information on how to set multiple environment variables or escape special characters see set multiple environment variables click create or deploy gcloud to specify environment variables when you deploy your service use the set env vars flag gcloud run deploy service image image_url set env vars key1 value1 key2 value2 replace the following service the name of your service key1 value1 key2 value2 the comma separated list of variable names and values image_url a reference to the container image for example us docker pkg dev cloudrun container hello latest if you use artifact registry the repository repo_name must already be created the url follows the format of location docker pkg dev project_id repo_name path tag for more information on how to set multiple environment variables or escape special characters see set multiple environment variables yaml if you are creating a new service skip this step if you are updating an existing service download its yaml configuration gcloud run services describe service format export service yaml update the name and value attributes under the env attribute under containers apiversion serving knative dev v1 kind service metadata name service spec template metadata name revision spec containers image image env name key 1 value value 1 name key n value value n replace the following service the name of your cloud run service image_url a reference to the container image for example us docker pkg dev cloudrun container hello latest if you use artifact registry the repository repo_name must already be created the url follows the format of location docker pkg dev project_id repo_name path tag key 1 value 1 the environment variable and value optionally add more variables and values as needed revision with a new revision name or delete it if present if you supply a new revision name it must meet the following criteria starts with service contains only lowercase letters numbers and does not end with a does not exceed 63 characters create or update the service using the following command gcloud run services replace service yaml the gcloud run services replace command defaults to using service yaml file if present terraform to learn how to apply or remove a terraform configuration see basic terraform commands add the following to a google_cloud_run_v2_service resource in your terraform configuration resource google_cloud_run_v2_service default name cloudrun service env var location us central1 deletion_protection false set to true in production template containers image us docker pkg dev cloudrun container hello environment variables env name foo value bar env name baz value quux the preceding google_cloud_run_v2_service resource specifies sets the foo environment variable to bar and the baz environment variable to quux update the environment variables as necessary compose to specify environment variables in your compose yaml file add the environment attribute to your service definition you can use either or as the list separator to specify multiple environment variables you can also use the env_file attribute services web image image environment key1 value1 key2 value2 replace the following image the url of your container image key1 value1 key2 value2 or key1 value1 key2 value2 the list of variable names and values deploy the service to deploy the services run the gcloud run compose up command gcloud run compose up compose yaml respond y to any prompts to install required components or to enable apis optional make your service public if you want to allow unauthenticated access to the service after deployment the cloud run service url is displayed copy this url and paste it into your browser to view the running container you can disable the default authentication from the google cloud console set default environment variables in the container you can use the env statement in a dockerfile to set default values for environment variables env key1 value1 key2 value2 order of precedence ...
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