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I'm new to GCP and trying to make heads and tails of it. So far, I've experienced with GKE and Cloud Run.
In GKE, I can create a Workload (deployment) for a service of any kind under any port I like and allocate resources to it. Then I can create a load balancer and open the ports from the pods to the Internet. The load balancer has an IP that I can use to access the underlying pods.
On the other hand, when I create a Could Run service, I'll give it a docker image and a port and once the service is up and running, it exposes an HTTPS URL! The port that I specify in Cloud Run is the docker's internal port and if I want to access the URL, I have to do that through port 80.
Does this mean that Cloud Run is designed only for HTTP services under port 80? Or maybe I'm missing something?
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The best use cases for Cloud Run People who are targeting containers and container orchestration as their preferred platforms and are looking for serverless technology that's more container-native. Applications that require an HTTP server as part of the architecture, and the testing simplicity that comes with it.
While App Engine supports many different services within a single application, Cloud Functions support individualized services. It's an important detail when comparing Google App Engine vs Cloud Functions. If your requirements don't include multiple services then Cloud Functions is a great choice.
Services and jobs: two ways to run your code On Cloud Run, your code can either run continuously as a service or as a job. Both services and jobs run in the same environment and can use the same integrations with other services on Google Cloud.
Cloud Run can help the users integrate continuous deployment and ensure better visibility and control over the containers. Cloud Run is suitable for apps that demand the use of HTTP servers as an integral part of their entire architecture.
The landscape of cloud services in GCP offers many options for application architectures supporting microservices. By understanding the microservices offerings and tools available, you can find the right architecture and approach to successfully meet your requirements. Matthew Tyson is a founder of Dark Horse Group, Inc.
Google services like Cloud Functions can be used to split a container’s functions into their own services (FaaS). With Cloud Run, you only pay for what you use. Billed time is broken down to the nearest 0.1 of a second.
Surprising no one, Google has created another cloud service. If you’d like to run an already built application in the cloud, use Cloud Run. It is good for all-in-one software bundles, such as open source software or something like a simple Flask app.
Like PaaS solutions, Google Cloud Run requires you to employ a stateless application architecture. As an abstraction of application infrastructure, platform as a service (PaaS) stands somewhere between IaaS and serverless. Although you will see Google App Engine referred to as serverless, it is fundamentally a PaaS.
Technically "no", Cloud Run cannot be used for non-HTTP services. See Cloud Run's container runtime contract.
But also "sort of":
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