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Google Cloud Run lets me set a concurrency for a given container, which is how many concurrent requests it will service before a new container is spun up.
How do I actually check how many containers are running at any given time? The web interface mentions which services are running but not how many of them there are, and the same is true when I do gcloud beta run services (list|describe).
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By default, Cloud Run services are configured to scale out to a maximum of 100 instances. You can change the maximum instances setting using the Google Cloud console, the gcloud command line, or a YAML file when you create a new service or deploy a new revision.
From the GCP project console, select Virtual machines to see the status of all of your instances. Select the instance you want to restart. At the top right-hand of the page, select Start to restart the instance.
By default each Cloud Run container instance can receive up to 80 requests at the same time; you can increase this to a maximum of 1000. Although you should use the default value, if needed you can lower the maximum concurrency.
Google Cloud Platform has many tools for working with and running containerized apps using Docker, including managed Kubernetes and serverless container execution. We’ll discuss how to get a container service running on GCP. Which Service Should You Use? You basically have two options for running containers.
Cloud Run is a service by Google Cloud Platform to run your stateless HTTP containers without worrying about provisioning machines, clusters or autoscaling. With Cloud Run, you go from a "container image" to a fully managed web application running on a domain name with TLS certificate that auto-scales with requests in a single command.
Each Cloud Run service can scale by default up to 1000 container instances, a limit that can be increase via a quota request. Each container instance can handle up to 250 simultaneous requests.
The first is Cloud Run, which is very simple and easy to use, and will get the job done for most people. Containers are treated as “services,” which are allotted a specific amount of memory and a CPU core (or two) to use. You can make custom domains to the containers, and run apps off of different ports.
Cloud Run reports the number of container instances in Cloud Monitoring
The Billable instance time metric counts how many instance time you are charged for. For example, if a Revision with 2 container instances has been continuously serving traffic in the last minute, the value is 2s/s.
Alternatively, you can export your logs to BigQuery. Each log entry has an instance ID as label (see docs) that you can group by and count.
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