Azure Container Registry VS Google Cloud Functions

Docker Registry: A Docker registry is a repository that stores Docker images such as Docker Hub. You can also set up private registries to store your custom Docker images securely on the main cloud service providers such as Google Cloud Container Registry, Azure Container registry. - Source: dev.to / 4 months ago

One of the great things about Bicep is that it allows you to split it up in smaller modules that can be easily referenced from another Bicep file. This increases readability of your files and also allows for easier reuse of these modules. When you want to reference the same module in different repositories there are a couple of ways to do this. One of them is by using a Bicep Registry. For this you can use Azure... - Source: dev.to / over 1 year ago

A container registry is a service to store and maintain images. Container registries can be either public, allowing any user to download the public images, or private, requiring user authentication to manage the images. Examples of Container Registries include but are not limited to: Docker Hub, Amazon Elastic Container Registry (ECR), and Microsoft Azure Container Registry. - Source: dev.to / over 1 year ago

In Azure, AWS, GCP, and other clouds, there are also container registries. If you’re embedded into a specific public cloud, it wouldn’t hurt to use those container registries. Azure has Container Registry, AWS has Elastic Container Registry (ECR), and GCP has Container Registry. - Source: dev.to / almost 2 years ago

A private container registry for container images like Azure Container Registry. Source: almost 2 years ago

One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago

I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 months ago

Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago

Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago

Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 12 months ago