DigitalOcean App Platform vs. Google Cloud Run

I would only get into it if I where willing to pay for the support plan and getting some assurances from the team as to where they are headed. The platform itself is great and can save you a ton of hard work and money. but it's hard to be confidant in it's sustainability.

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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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• Hosting of serverless application
• Hosting of load balancer
• Hosting of virtual appliances

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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 company has not been very communicative as of lately. Not much news, no apparent work on missing features.
• Some components are incomplete as far as some critical features. For example, I use RethinkDB as my database and it's missing critical features like backup and clustering, so It is unusable and they should have made that clear from the get go.
• The pricing on the support plan is vague. I do have the feeling it is actually well worth the money, but it's hard to form a decisions based without more predictable specific.
• Seems to me like the platform's future is unclear.

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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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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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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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It can help you to host your virtual appliance or serverless application at very low cost. DigitalOcean marketplace also helps you to deploy the serverless app or virtual appliance effortlessly. It is suitable for small scale deployment and the process to setup an account and roll out your app via marketplace is easy and cheap.

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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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• The platform is saving me a lot of time I would have been wasting on operations instead of development.
• The platform is saving me a lot of money as I can easily switch between cloud providers to find the best price.
• I am worried though for the price I might have to pay in case of an unexpected system issue.
• Hopefully I will be able to pay the support plan before that.

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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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