microsoft custom translator deployment failed - microsoft-translator

I successfully trained a few models on the Custom Translator portal which I cannot deploy. I tried several times, but each time I start the deployment I get a "Deploymentfailed" status after a while.
Is there anything I should bear in mind or anything I can do about that?
Thanks

I had the same issue and the answer is either that you exceed your quota of 3 deployed models or you are trying to deploy a model in a project where a model is already deployed. Hope this helps.

I just wanted to let you know that we have fixed the deployment process. Please retry your deployments now.

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In case of failure observed, I wanted to retry the API call exponentially.
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I solved this in a different way. I used ServiceNow APIs directly in MS Word so that I can now checkout what file I want to and then make changes and check-in directly into servicenow

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I want to build my own pass platform based on cloudfoundry and openshift. I want to use some of the functions of these two platforms, and I don't want to deploy them all in the environment. Is this feasible? What similar open source projects can learn from?
Let me produce some contents about OpenShift for you as follows.
OpenShift Online : Free plan is enough to your first training.
OpenShift HandsOn training : Awesome practical training, it need not to prepare your env.
OpenShift Documentation - Enterprise and OpenShift OpenSource AKA OKD - Documentation
If you'd like to deploy to your on-premise as open source project of OpenShift, you can review/test/operate the OKD (former name: OpenShift Origin).
I hope if help you. :^)
In regards to Cloud Foundry, it is just a collection of services. We use Bosh to deploy Cloud Foundry, which knows how to deploy all the services so that they can talk to each other & function cohesively. There's nothing that would prevent you from using a different Bosh configuration (or even totally different tool) to deploy these services in a different way.
You can run projects like Gorouter, UAA, Cloud Controller and Garden stand-alone. The individual project sites typically have instructions for doing this.
Ex:
https://github.com/cloudfoundry/gorouter#start
https://github.com/cloudfoundry/uaa#quick-start
Other components might be a little trickier as they depend on each other. Diego, for example, depends on Garden and is built to send logs through Loggregator. In these cases, you might need to do a little work if you didn't want to use one of the dependent components.
https://github.com/cloudfoundry/diego-design-notes#what-are-all-these-repos-and-what-do-they-do
I would disagree with your comment about these systems being bloated, and say that depends on your perspective. If you don't need a lot of the features, then I could see why you might think that. I'd say overkill might be a better way to put it though.
If you don't need all the functionality that PaaS platforms provide, you could look at other options: Dokku, Kubernetes, Knative, etc... You don't get all the features of CF, but the systems have smaller footprints. If you can live without the extra features, then these might be better options for you.
Hope that helps!

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Edit: 8/24/2018
Below is a screenshot of the command prompt when using graph.flagEncoders=car,foot, bike in the "config-example.properties" file. Note that I'm using the example osm data found on the quickstart guide.
As per Karussell's comment, in this instance all you have to do is delete the *.osm-gh cache folder that's created by Graphhopper.

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