Azure Container Apps, part of the Azure suite of products from Microsoft, is a service used to deploy containerized apps without managing complex infrastructure. Users can write code using a preferred programming language or framework, and build microservices with full support for Distributed Application Runtime (Dapr). Scale dynamically based on HTTP traffic or events powered by Kubernetes Event-Driven Autoscaling (KEDA).
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Google Cloud Run
Score 8.7 out of 10
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Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.
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Pricing
Azure Container Apps
Google Cloud Run
Editions & Modules
vCPU (seconds)
active usage $0.000024 and idle usage $0.000003
per second 180,000 vCPU-seconds free grant per month
Memory (GiB-Seconds)
active usage $0.000003 and idle usage $0.000003
per second 360,000 GiB-seconds free grant per month
The Goolge docs for their products as well as the UI is a lot nicer than AWS or Azure and in general I found it much easy to work with. We selected Google mainly because of startup credits and the support offered but can confidently say we would choose them again without that …
Azure Container Apps is a welcome addition for sure. Based on my experience, this has enabled us to move fully to the cloud and managed everywhere in one spot and on the go. We can scale it to our end as much as we would like. It can be assess anywhere and it is fully secure
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
More integrations with container registry providers (ECR, dockerhub)
Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate
I would rather use AKS for my critical applications. The fact that the deployment process is dependent on as cli makes it hard for us to integrate with our standard CI/CD tools
Azure Container Apps are fantastic and it is a game changer. I would recommend it to anyone considering it. As you can scale it to what you would like and it is fully cloud native with better security. It is a no brainier not to consider it. I do believe that with further improve it will become even more attractive
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.