App Engine Standard Support here..(Note this may not be in sync at the time you view) https://cloud.google.com/appengine/docs/standard/java/runtime.

App Engine Flexible will support this with containers https://cloud.google.com/appengine/docs/the-appengine-environments

Incident Commander is the person who declares the incident typically steps into the IC role and directs the high-level state of the incident.

After creating your cluster, you need to get authentication credentials to interact with the cluster. This is done by a gcloud command, not a kubectl command. gcloud container clusters get-credentials "cluster-name" will configure configures kubectl to use the cluster you created.

Many monitoring solutions use the Kubernetes DaemonSet structure to deploy an agent on every cluster node. S Note that each tool has its own software for cluster monitoring. Heapster is another option that could also be used, Heapster is a bridge between a cluster and a storage designed to collect the cluster metrics. Stackdriver is native to Google Cloud and therefore the recommended approach by Google Cloud.

Google Cloud Marketplace formerly Cloud Launcher offers ready-to-go development stacks, solutions, and services to accelerate development, so you spend less time installing and more time developing.

Google Cloud Marketplace formerly Cloud Launcher offers ready-to-go development stacks, solutions, and services to accelerate development, so you spend less time installing and more time developing.

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using Yaml. Templates are either Jinja2 or Python.

App Engine Standard is all they need if there is no specific development language specified like Node.js App Engine Standard runs a sandbox. App Engine Flexible deploys via containers. The question did not specify a specific version of Python.

Cloud Build can import source code from a variety of repositories or cloud storage spaces, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives.

Cloud Trace formerly Stackdriver Trace is a distributed tracing system that collects latency data from your applications and displays it in the Google Cloud Console. You can track how requests propagate through your application and receive detailed near real-time performance insights. Cloud Trace automatically analyses all your application’s traces to generate in-depth latency reports to surface performance degradation, and can capture traces from all your VMs, containers, or App Engine projects.

Cloud Logging is integrated with Stackdriver but there are no analytics or special extensions for Kubernetes. There are Kubernetes metrics.