FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Synopsis Create a role binding for a particular role or cluster role. kubectl create rolebinding NAME --clusterrole=NAME|--role=NAME [--user=username] [--group=groupname] [--serviceaccount=namespace:serviceaccountname] [--dry-run=server|client|none] Examples # Create a role binding for user1, user2, and group1 using the admin cluster role kubectl create rolebinding admin --clusterrole=admin --user=user1 --user=user2 --group=group1 # Create a role binding for service account monitoring:sa-dev using the admin role kubectl create rolebinding admin-binding --role=admin --serviceaccount=monitoring:sa-dev Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Synopsis Create a deployment with the specified name. kubectl create deployment NAME --image=image -- [COMMAND] [args...] Examples # Create a deployment named my-dep that runs the busybox image kubectl create deployment my-dep --image=busybox # Create a deployment with a command kubectl create deployment my-dep --image=busybox -- date # Create a deployment named my-dep that runs the nginx image with 3 replicas kubectl create deployment my-dep --image=nginx --replicas=3 # Create a deployment named my-dep that runs the busybox image and expose port 5701 kubectl create deployment my-dep --image=busybox --port=5701 # Create a deployment named my-dep that runs multiple containers kubectl create deployment my-dep --image=busybox:latest --image=ubuntu:latest --image=nginx Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

In this example, you will run a Kubernetes Job with multiple parallel worker processes. In this example, as each pod is created, it picks up one unit of work from a task queue, completes it, deletes it from the queue, and exits. Here is an overview of the steps in this example: Start a message queue service. In this example, you use RabbitMQ, but you could use another one. In practice you would set up a message queue service once and reuse it for many jobs.

In this example, you will run a Job in Indexed completion mode configured such that the pods created by the Job can communicate with each other using pod hostnames rather than pod IP addresses. Pods within a Job might need to communicate among themselves. The user workload running in each pod could query the Kubernetes API server to learn the IPs of the other Pods, but it's much simpler to rely on Kubernetes' built-in DNS resolution.