Cloud Run and Knative Serving
1. Cloud Run and Knative Serving
Besides Cloud Deploy, many organizations use Cloud Run for containerized applications. Cloud Run is a serverless development platform for hybrid and multicloud environments. You can write code in a language of your choice with your favorite dependencies and tools and deploy applications in seconds. Cloud Run abstracts away the complexity of underlying infrastructure, enabling you to easily develop locally and build and deploy apps anywhere. It includes a stable HTTPS endpoint. TLS termination is handled for you and you can map your services to your own domains. Cloudr run has the ability to scale up or down automatically. You only pay for what you use. At enterprise level, Google offers a managed instance of K native serving integrated with GKE. It is built on the open-source K native serving, but with Google's added value and support. This managed experience simplifies installation, management, and updates. It provides deep integration with cloud service mesh for networking, security, observability, cloud monitoring, cloud logging, cloud identity and access management, AM for authentication using workload identity federation. K native serving supports enhanced security features like binary authorization, multicluster management through fleets and consistent policy enforcement using policy controller. Like cloud run, it abstracts away much of the underlying Kubernetes complexity. Google's K native serving offering is serverless and containerbased workloads can be deployed and managed in Google cloud hybrid or multicloud environments like cloud run. It uses a shared responsibility model. You or a partner are responsible for the underlying hardware infrastructure. There are some differences between cloud run and managed K native serving. Cloudr run operates on Google cloud infrastructure. So you pay each time you use the tool. CPU, GPU, memory, and the number of instances are limited. Managed K native serving runs on your infrastructure, enabling you to use your hardware and benefit from additional flexibility like higher CPU and memory. You can even use GPUs if they're available. The amount of instances depends on the size of your GKE cluster. Cloudr run uses AM and other Google cloud tools like VPC service controls and serverless VPC access for security. Managed K native serving uses arbback controls and isto network policies. Access can be configured to allow communication with the internet in the cluster or in the VPC. Because Cloudr run services are part of cloud service mesh, communication with other mesh services can be controlled in a similar way. Other cloudr run features like custom domains, SSL certificates or container isolation with G Visor sandbox are configured manually in GKE clusters.2. Let's practice!
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