Azure App Service vs. Google Cloud Run

You may easily deploy your apps to Azure App Service if they were written in Visual Studio IDE (typically.NET applications). With a few clicks of the mouse, you may already deploy your application to a remote server using the Visual Studio IDE. As a result of the portal's bulk and complexity, I propose Heroku for less-experienced developers.

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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.

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• It has options to deploy using CI/CD.
• It has great integration with Azure Devops
• It has all the common runtimes, so we don't need to install softwares.

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• Auto scaling is the best one
• provide direct VPC connectivity and rigid network
• Cloud SQL and Pub/Sub services
• Handling latency issues

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• the learning curve can be tough (just like other azure services)
• the UX/UI could be more intuitive (just like other azure services as well)
• monitoring can be hard to understand
• Microsoft's learning resources are hard to understand

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• 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

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We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

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I enjoy the fact that Azure App Service can be managed by the Azure portal and a fully graphical user interface, as well as from two different flavors of command-line interface, i.e. Azure CLI and Azure Powershell. By utilizing the Azure Cloud Shell, we are able to switch between Azure Bash (CLI) and Powershell at any given moment and manage the Azure App Service settings from devices of any form-factor (Web based management).

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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.

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Not seen any major issues when we run applications its good

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Initially we felt slow but slowly it picked up and easy to manage

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We had an issue where we deployed too large of a resource and didn't notice until the bill came through. They were very understanding and saw we weren't utilizing the resources so they issued a generous refund in about 4 hours. Very fast, friendly, and understanding support reps from my experience.

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I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

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Azure has many data center, their services are more reliable. Azure has way more features than both Linode and DigitalOcean. If someone wants a complete reliable service, he/she must go to Azure instead of Linode and DigitalOcean because even though azure charges more, it is worth the money you pay there.

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AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.

Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.

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Not part of purchase.

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It has good auto scale feature and reliable also

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We have very good support when needed

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• Reduced the deployment time of ASP .NET applications in the company.
• Gave us an alternative to quickly deploy our applications without granting access to the version control system to a third platform.

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• Built in support for auto scaling helps reduce operational overhead
• Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
• Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform

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