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logs using google cloud cli you can use google cloud cli to view tailing logs or read existing logs for a cloud run service in the command line by default the logs are formatted in a single line format optimized for the console to tail logs you need to install the log streaming component in google cloud cli if the component isn t installed you will be prompted to install it when required view tailing logs in the command line preview command line log tail for cloud run services this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions for a cloud run service you can tail logs in real time from your cloud run service directly in the command line gcloud beta run services logs tail service project project id replace the following service the name of the cloud run service project id the google cloud project id you can view your project id by running the command gcloud config get value project read logs in the command line for a cloud run service you can read existing logs in either of two ways in a console optimized format gcloud run services logs read service limit 10 project project id directly from cloud logging gcloud logging read resource type cloud_run_revision and resource labels service_name service project project id limit 10 replace the following service the name of the cloud run service project id the google cloud project id you can view your project id by running the command gcloud config get value project view logs in cloud logging note selecting a specific worker pool in the log fields pane is not implemented to filter for a specific worker pool add the following to the query resource labels worker_pool_name worker_pool_name to view your cloud run logs in the cloud logging logs explorer go to the logs explorer page in the google cloud console go to the logs explorer page select an existing google cloud project at the top of the page or create a new project using the drop down menus select the resource cloud run revision for a service cloud run job for a job cloud run worker pool for a worker pool for more information see using the logs explorer view service logs in cloud code to view your logs in cloud code read the intellij and visual studio code guides read logs programmatically if you want to read the logs programmatically you can use one of these methods use a log sink to pub sub and a script to pull from pub sub call the logging api through the client libraries for your programming language call the logging api rest endpoints directly instance scaling logs format and contents when new instances start for your cloud run service cloud logging includes log entries under the varlog system log name explaining why each instance was created the log entry follows this format starting new instance reason reason description the following table provides a breakdown of instance descriptions reason description manual_or_customer_min_instance instance started because of customer configured minimum instances or manual scaling autoscaling instance started due to configured scaling factors such as cpu utilization request throughput and so forth or not enough existing capacity for current traffic deployment_rollout instance started due to traffic shifting between revisions due to deployment traffic split adjustment or deployment health check write container logs when you write logs from your service job or worker pool they will be picked up automatically by cloud logging so long as the logs are written to any of these locations standard output stdout or standard error stderr streams any files under the var log directory syslog dev log logs written using cloud logging client libraries which are available for many popular languages most developers are expected to write logs using standard output and standard error the container logs written to these supported locations are automatically associated with the cloud run service revision and location the cloud run worker pool revision and location or with the cloud run job exceptions contained in these logs are captured by and reported in error reporting the integrated logging balances reliability and resource usage and should work for most applications writing log entries using integrated logging does not consume quota for the number of entries write requests per minute of the cloud logging api if your application has requirements for higher volume or reliability we recommend using the cloud logging api directly either as a library within your application or as a separate sidecar container use simple text vs structured json in logs when you write logs you can send a simple text string or send a single line of serialized json also called structured data this is picked up and parsed by cloud logging and is placed into jsonpayload in contrast the simple text message is placed in textpayload write structured logs the following snippet shows how to write structured log entries it also shows how to correlate log messages with the corresponding request log node js uncomment and populate this variable in your code const project the project id of your function or cloud run service build structured log messages as an object const globallogfields add log correlation to nest all log messages beneath request log in log viewer this only works for http based invocations where req is defined if typeof req undefined const traceheader req header x cloud trace context if traceheader project const trace traceheader split globallogfields logging googleapis com trace projects project traces trace complete a structured log entry const entry object assign severity notice message this is the default display field log viewer accesses component as jsonpayload component component arbitrary property globallogfields serialize to a json string and output console log json stringify entry python uncomment and populate this variable in your code project the project id of your cloud run service build structured log messages as an object global_log_fields add log correlation to nest all log messages this is only relevant in http based contexts and is ignored elsewhere in particular non http based cloud functions request_is_defined request in globals or request in locals if request_is_defined and request trace_header request headers get x cloud trace context if trace_header and project trace trace_header split global_log_fields logging googleapis com trace f projects project traces trace 0 complete a structured log entry entry dict severity notice message this is the default display field log viewer accesses component as jsonpayload component component arbitrary property global_log_fields print json dumps entry go the structure for each log entry is provided by an entry type entry defines a log entry type entry struct message string json message severity string json severity omitempty trace string json logging googleapis com trace omitempty logs explorer allows filtering and display of this as jsonpayload component component string json component omitempty string renders an entry structure to the json format expected by cloud logging func e entry string string if e severity e severity info out err json marshal e if err nil log printf json marshal v err return string out when an entry struct is logged the string method is called to marshal it to the json format expected by cloud logging func init disable log prefixes such as the default timestamp prefix text prevents the message from being parsed as json a timestamp is added when shipping logs to cloud logging log setflags 0 func indexhandler w http responsewriter r http request uncomment and populate this variable in your code projectid the project id of your cloud run service derive the traceid associated with the current request var trace string if projectid traceheader r header get x cloud trace context traceparts strings split traceheader if len traceparts 0 len traceparts 0 0 trace fmt sprintf projects s traces s projectid traceparts 0 log println entry severity notice message this is the default display field component arbitrary property trace trace fmt fprintln w hello logger java enable json logging with logback and slf4j by configuring the logging logback appender in your logback xml configuration add log correlation to nest all log messages beneath request log in log viewer todo developer delete this code if you re creating a cloud function and it is not triggered by http string traceheader req headers x cloud trace context if traceheader null project null string trace traceheader split 0 mdc put logging googleapis com trace string format projects s traces s project trace end log correlation code create a structured log entry using mdc mapped diagnostic context keys for instantiating the logger variable see https cloud google com run docs logging run_manual_logging java mdc put component arbitrary property logger info this is the default display field clear mdc at the end of the request to avoid resource leaks mdc clear configure the loggingappender to redirect logs to standard output stdout in structured json format for cloud run to capture for more details review logback configuration configuration appender name cloud class com google cloud logging logback loggingappender optional filter logs at or above a level filter class ch qos logback classic filter thresholdfilter level info level filter log application log log optional default java log resourcetype gae_app resourcetype optional default auto detected fallback global enhancer com example logging logback enhancers exampleenhancer enhancer optional flushlevel warn flushlevel optional default error redirect logs to stdout in json format for cloud run to capture redirecttostdout true redirecttostdout appender root level info appender ref ref cloud root configuration this produces the following output log structure severity info time yyyy mm ddthh mm ss sssz logging googleapis com labels component arbitrary property levelname info loggername com example cloudrun app levelvalue 20000 logging googleapis com trace_sampled false message this is the default display field special json fields in messages when you provide a structured log as a json dictionary some special fields are stripped from the jsonpayload and are written to the corresponding field in the generated logentry as described in the documentation for special fields for example if your json includes a severity property it is removed from the jsonpayload and appears instead as the log entry s severity the message property is used as the main display text of the log entry if present for more on special properties read the logging resource section below correlate your container logs with a request log services only in the logs explorer logs correlated by the same trace are viewable in parent child format when you click on the triangle icon at the left of the request log entry the container logs related to that request show up nested under the request log container logs are not automatically correlated to request logs unless you use a cloud logging client library to correlate container logs with request logs without using a client library you can use a structured json log line that contains a logging googleapis com trace field with the trace identifier extracted from the x cloud trace context header as shown in the above sample for structured logging control request log resource usage services only request logs are created automatically although you cannot control the amount of request logs directly from cloud run you can make use of the logs exclusion feature from cloud logging a note about logging agents if you ve used cloud logging with certain google cloud products such as compute engine you may have used cloud logging logging agents cloud run does not use logging agents because it has built in support for log collection logging resource names the logging resource names for cloud run are cloud run revision cloud_run_revision cloud run job cloud_run_job cloud run worker pool cloud_run_workerpool logging resources clicking on a log entry in the logs explorer opens up a json formatted log entry so you can drill down to the details you want all of the fields in a log entry such as timestamps severity and httprequest are standard and are described in the documentation for a log entry cloud run adds additional metadata so you can identify the source of a log this includes the labels that you set on your cloud run service and resource labels that are specific to cloud run log entry fields for a service the following is a list of fields that can be found in the log entry for a cloud run service field values and notes logentry labels instanceid the instance that handled the request logentry labels run googleapis com base_image_versions the base image version that the service uses only appears for services deployed from source and if automatic security updates is enabled logentry labels run googleapis com cloud_event_id the cloudevent id only appears for services receiving events from eventarc logentry labels run googleapis com cloud_event_source the cloudevent source only appears for services receiving events from eventarc logentry labels mylabel logentry labels mysecondlabel the labels that are set by you on the service logentry logname identifies the log for example request log standard error standard output etc logentry resource labels location identifies the google cloud location of the service logentry resource labels project_id the project the service is deployed to logentry resource labels revision_name the revision that served the request logentry resource labels service_name the service that served the request logentry resource type cloud_run_revision the cloud run resource type here s an example request log entry for a cloud run service httprequest insertid 5c82b3d1000ece0000000000 labels instanceid 00bf4bf00000fb59c906a00000c9e29c2c4e06dce91500000000056008d2b6460f163c0057b97b2345f2725fb2423ee5f0bafd36df887fdb1122371563cf1ff453717282afe000001 mylabel mylabelvalue mysecondlabel mysecondlabelvalue logname projects my project logs run googleapis com 2frequests receivetimestamp 2019 03 08t18 26 25 981686167z resource labels configuration_name myservice location europe west1 project_id my project revision_name myservice 00002 service_name myservice type cloud_run_revision severity info timestamp 2019 03 08t18 26 25 970397z log entry fields for jobs the following is a list of fields that can be found in the log entry for a cloud run job field values and notes logentry labels instanceid the instance logentry labels mylabel logentry labels mysecondlabel the labels that are set by you on the job logentry logname identifies the log for example standard error standard output etc logentry resource labels location identifies the google cloud location of the job logent...
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