Google Cloud Run vs. Microsoft Application Server (deprecated)

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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Microsoft Application Server has been incredible this past year during COVID. Previously I would have said that we could go without it, but after this past season, I’m glad we have utilized it. Without having this software set up prior to COVID, we would have been in a tough situation. I mention COVID a lot because we were able to continue our work almost seamlessly this entire year.

• 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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• Microsoft Application Server has proven to be highly reliable and effective at deploying to all of its clients.
• Application performance is surprisingly good and responsive even in bandwidth-constrained environments and generally very reliable.
• All software programs are manageable from a single location, even when bandwidth is limited.

• 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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• Some security hotfixes and general release updates require restarts.
• We wish it supported more applications out of the box.
• Thin client support would be great for MS Application Server.

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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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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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I have found Microsoft Application Server to be incredibly easy to use. I have used dozens of similar programs and have always struggled to navigate through all the functions. So far I have been able to adapt and learn this software with ease. I rarely run into a problem that I wasn’t easily able to move forward on with a few tips.

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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Stability is one of the first things we consider when evaluating software. MS Application Server has been rock solid and has reduced the time that our IT staff dedicates to maintaining our legacy applications.

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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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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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It has a similar feature to what Microsoft Application Server has but at a greater cost and also having to deal with another vendor when we could use a full Microsoft Stack for better training and support.

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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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• 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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• Our ROI has been great since it has enabled our IT staff to have a central location to perform application updates which enables us to save time and money.
• Deployment is very easy since the internal applications that required constant updating are now updated in one central location.
• It's a lot easier to be within compliance protocols requirements.

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