The recent launch of Cloud Run by Google Cloud Platform will change the course of how enterprise workloads performed. Google is aiming for a much easier and seamless workload functioning via containers, integration, and serverless computing platform with built-in Kubernetes. This will add notable benefits to Google‘s Cloud serverless compute stack and will strengthen the containerized platforms and Kubernetes as well.
Integrated with the rest of its portfolio, Google Cloud Run has two variants: as a managed service and a developer environment.
As serverless computing has a wide meaning serving different prospects of an organization, Google Cloud Run is designed and developed to make it easier to run more workloads. Google Cloud has reinforced the approach of serverless computing to functions as a service, similar to its cloud competitors AWS and Microsoft Azure, which also follow the ideology of provisioning servers to focus more on functions as well.
Cloud Run will essentially operate on Google Kubernetes Engine with a built-in Knative, an API and runtime environment.
Cloud Run is envisioned to handle any stateless Docker container seamlessly. Also, it will play and scale a legacy Java server, document processing software, and statistical analysis tool smoothly.