Azure media server rest example - rest

I am trying to find a sample project which utilizes rest / json to upload videos and manage them to azure media service.
I am not able to use the .net wrapper which is available via nuget.

You can look into some code snippets for utilizing REST/JSON to upload videos:https://msdn.microsoft.com/en-us/library/azure/jj129593.aspx. You can check out most of REST APIs documentations here: https://msdn.microsoft.com/en-us/library/azure/hh973629.aspx.

Related

Where can I find full documentation for the ArangoDB HTTP REST API?

The HTTP REST API documentation on the ArangoDB website looks incomplete. I need the full reference documentation so I can implement calls to ArangoDB's HTTP REST API from libcurl for C++.
ArangoDB has Swagger UI, go to Support menu in Admin, then select Rest API tab
You can also download swagger.json and generate API clients and server stubs via swagger-codegen (for C++
is supported cpprest, Qt5, Tizen)

REST endpoint registration and bootstrap(Creating range-index) using U Deploy

I have my code in Git repository. I am using UDeploy to deploy my code into MarkLogic environment. I can able to move all my modules successfully but facing two problems
1. Creating New indexes
2. REST endpoint creation
Please let me know if there is anyway to implement these two
For creating indexes, I have tried to do it using API functions(admin:database-range-element-index()) and I have successful in that part. But is there any way to do it from UDeploy or DevOps.
For register REST endpoint I couldn't able to find anyway to try.
Have you looked at MarkLogic's REST Management APIs - https://docs.marklogic.com/REST/management. In particular, see if https://docs.marklogic.com/REST/POST/manage/v2/databases will help you create indexes via REST management APIs.
The most common way to deploy MarkLogic code & configuration is ml-gradle, a plugin to the widely used gradle tool. ml-gradle uses MarkLogic's Management API, mentioned by Ganesh, and is scriptable.

Sharepoint Online Authentication with Play Framework web application (Scala)

We are trying to connect our Play framework application with the Sharepoint Online site collection. As per the ADAL libraries these are JAVA based and we are unable to use these libraries in the Play framework (based on Scala language).
What are the options available to connect play framework web app with Azure AD, so we will be able to view sharepoint data over the internet?
How to configure the SharePoint site collection to only allow the access based on a either a user or an IP Address?
The Microsoft Graph API uses REST endpoints so you can access Azure AD resources regardless of what language or framework you are using. The above document has links to the specific Azure AD and SharePoint documents you will need.

Which Google Analytics Api client library-node or javascript to use for my website?

I am making a website which displays report generated using google analytics data.My frontend is in React JS and backend in Node js and I have used the create-react-app boilerplate for React.I am really confused as to which client library -Node or Javascript to use for my website.Please could someone help me out..I am really confused.
Google Analytics has 2 API's for getting reporting data: the core api v3 and the reporting api v4. For new projects I would suggest using the latest reporting api v4.
To use any of these api's I would use Google's officially supported Node.js client library: google-api-nodejs-client
I also wrote a complete guide on how to work with Node.js and the Google Analytics Reporting API. This will definitely help you get started.

How to create multiple endpoints through powershell for New AzureML WebServices

I have created a ML WebService on portal.azure.com. I wish to create multiple endpoints programmitically for this webservice using Powershell.
However all the cmdlets available (Add-AmlWebServiceEndpoint) involve using the Old or Classic WebServices.
Is there anyway to achieve this for New Azure ML WebServices
What version of PowerShell are you using, and have you imported the Azure-RM module? See here.
You can see updated documentation for all the cmdlets that can be used with ARM-based Azure Machine Learning web services here.