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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 migrate cloud foundry configurations to cloud run stay organized with collections save and categorize content based on your preferences important you must have access to the build configuration and source code for the application you want to migrate you must complete the configuration migration process for each cloud foundry application you are migrating to cloud run the configuration migration consists of the following converting a cloud foundry manifest yaml to a cloud run service yaml attaching any backing services to the application for deployment to cloud run deploying your application to a cloud run service convert manifest yaml to service yaml you must convert a cloud foundry manifest and or cf cli flags into the equivalent cloud run service definition yaml cloud run requires each application to have its own separate service yaml file to migrate an application in your cloud foundry manifest to a service yaml file gather the properties listed in the following table for your application properties that are not modified at the application level may have been overridden by global cloud foundry platform configurations refer to documentation provided by your platform administrators to get the actual values application property cf cli v6 flag s description name name argument the application s unique name in cloud foundry command c a command that ll be executed in bin sh or bin bash disk_quota k the amount of disk that ll be assigned to the application valid units are m mb g r b likely default 1g docker image docker image o the image that contains the application to run health check http endpoint n a the endpoint used to determine http health if the health check type is http default health check invocation timeout n a time in seconds between individual port and http based health checks default 1 health check type health check type u type of health check to perform on the application valid values are port http none process default port instances i number of instances of the app that cloud foundry will run default 1 memory m the per instance memory limit for the application valid units are m mb g or gb likely default 1g timeout t number of seconds allowed between app startup and the first healthy health check likely default 60 gather the following information for your google cloud project and cloud run setup property description project_number the project number of the google cloud project you want to deploy to region the region you want to deploy your app to vpc access connector the vpc connector name your platform administrator wants applications on vpc access egress the vpc egress name your platform administrator wants applications on custom audiences custom audiences that can authenticate to your application serviceaccountname the identity your application will act as in google cloud image the application image you produced in the previous step populate the following template into a service yaml file at the root of your project apiversion serving knative dev v1 kind service metadata set this to be the name of your app name app_name set this to be the project number of the project you re deploying to namespace project_number labels set this to be the region you re deploying in cloud googleapis com location region migrated from cloud foundry annotations run googleapis com ingress internal and cloud load balancing spec template metadata annotations set to the greater of 1 or the instances attribute autoscaling knative dev minscale 1 set to the greater of 1 or the instances attribute autoscaling knative dev maxscale 1 run googleapis com cpu throttling cpu_allocation run googleapis com startup cpu boost true set to true if you rely on sticky sessions these will be turned on in cloud foundry if the server sends a jsessionid cookie back on responses run googleapis com sessionaffinity false run googleapis com execution environment gen2 set the following values to match what your platform administrator recommends run googleapis com vpc access connector administrator_provided run googleapis com vpc access egress administrator_provided run googleapis com custom audiences administrator_provided spec cf doesn t limit but cr has a max of 1000 containerconcurrency 1000 default value for gorouter in pcf timeoutseconds 900 set the following value to match what your platform administrator recommends serviceaccountname administrator_provided containers name user container set the following value to either the image you built for your application in the last section of the guide the docker image attribute of your app s configuration if it s a docker app image image set command based on the following rules if your app has no command attribute null if your app has a docker image attribute bin sh c otherwise bin bash c command null set args based on the following rules if your app has no command attribute null if your app has a command attribute value of command args null ports set name based on the following rules if your app is http 2 or grpc h2c else http1 name http1_or_h2c containerport 8080 env for each key value pair in your space s running environment variable groups which can be retried by running cf running environment variable group add the following name key value value for each key value pair in your manifest s env map add the following name key value value populate memory_limit with the amount of memory supplied to this instance in mib with m as a suffix name memory_limit value 0m set the following values in the json below application_name and name to match metadata name in this file application_uris and uris to be the uri you want to assign the app on the load balancer limits disk to be the amount in mib of disk assigned to your app the amount will be in the disk_quota attribute of the cf manifest or a default value for your cluster typically 1gib limits mem to be the amount in mib of memory assigned to your app the amount will be in your memory attribute of the cf manifest or a default value for your cluster typically 1gib space_name to be the value of metadata space in this file name vcap_application value application_id 00000000 0000 0000 0000 000000000000 application_name app name application_uris limits disk 1024 mem 256 name app name process_id 00000000 0000 0000 0000 000000000000 process_type web space_name none uris resources limits set memory limit to be the sum of the memory and disk assigned to your app in cf disk amount will be in the disk_quota attribute of the cf manifest or a default value for your cluster typically 1gib memory will be in your memory attribute of the cf manifest or a default value for your cluster typically 1gib memory memory_limit set cpu according to the following calculation 1 take the amount of memory in your memory attribute of the cf manifest or a default value for your cluster typically 1gib 2 divide that by the total amount of memory on the underlying bosh vm 3 multiply that by the total number of cpus on the bosh vm 4 find the nearest valid value based on the rules in https cloud google com run docs configuring cpu setting cpu cpu_limit if health check type is process or none delete the startupprobe section startupprobe if health check type is port or blank delete the httpget section httpget set to be the value of health check http endpoint or if blank path check_path port 8080 if health check type is http delete the tcpsocket section tcpsocket port 8080 set to the value of health check invocation timeout or 1 timeoutseconds 1 set failure threshold to be the following calculation 1 take the timeout from the cf manifest use 60 if unset 2 divide by 2 3 round up to the nearest integer failurethreshold 1 successthreshold 1 periodseconds 2 if health check type is process or none delete the livenessprobe section livenessprobe if health check type is port or blank delete the httpget section httpget set to be the value of health check http endpoint or if blank path check_path port 8080 if health check type is http delete the tcpsocket section tcpsocket port 8080 set to the value of health check invocation timeout or 1 timeoutseconds 1 failurethreshold 1 successthreshold 1 periodseconds 30 traffic percent 100 latestrevision true attach any backing services you must construct a vcap_services environment variable to allow for service injection and discovery by your cloud foundry application such as spring or steeltoe you need to do this for each application you are migrating refer to the documentation for cloud foundry vcap_services for more information if your application is already running in cloud foundry and you want to attach to the same services in cloud run you can use your existing environment variable otherwise you ll need to create a new vcap_services to configure the vcap_services environment variable for an existing vcap_services try getting the vcap_services environment variable by running cf env app_name if that doesn t work connect to your application in cloud foundry cf ssh app_name run the env command and get the output of vcap_services exit the ssh session by running exit save the vcap_services value into a new file called vcap json if you want to add services or connect to different services than in cloud foundry create a new vcap_services in a text editor create an empty json map for each service you want to add do the following refer to the documentation for the library your app uses to parse vcap_services for the type you want to add to understand how it discovers the binding add a key to the map with the name of the service provider if one doesn t already exist this is usually something like mysql postgresql or elasticsearch set the value to be an empty array add an object to the array with the following properties metadata that isn t usually used to discover bind services binding_name a string representing the resource that grants your application permissions on the service this could be a username for a database a firewall rule a service account name or something else instance_name a string representing the name of the backing service this could be the name of your database a random value or a sentinel value for a global service name the binding_name if it exists otherwise the instance_name this value isn t usually important label the value of the key in the vcap_services map this binding is nested under plan the name of the service plan examples include user provided high availability values that are often used to discover bind services tags a list of tags to help libraries find compatible services this often includes the common name for the service e g mysql for mysql and mariadb redis for redis or cloud memorystore or postgres for postgres compatible databases credentials an object containing credentials used by the client library to perform the connection most client libraries rely on a uri field that contains the service s standard uri or jdbc format save the contents as vcap json attach credentials to your cloud run resource to attach credentials create a secret to hold your vcap_services environment variable contents and take note of the version output by the command gcloud secrets create app_name vcap replication policy automatic data file vcap json grant your application s service account permission to read the secret gcloud secrets add iam policy binding app_name vcap member serviceaccount app service account role roles secretmanager secretaccessor add the following environment variable to your application service yaml in the spec template spec containers 0 env array name vcap_services valuefrom secretkeyref key version output by step 1 name app_name vcap templates for common backing services the following sections provide information about commonly used backing services mysql mysql libraries usually expect the tag mysql it is common to include the following keys in credentials uri template mysql username password host port dbname the mysql documentation can help with creating a uri string the port is usually 3306 username the connection username required by some libraries even if included in uri password the connection password required by some libraries even if included in uri redis redis libraries usually expect the tag redis it s common to include the following keys in credentials uri template redis passw...
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