Getting the following response even when I make one request (concurrency set to 200) to a web service.
{ status: 503, headers: '{"content-length":"174","content-type":"application/json; charset=utf-8","etag":"\"8ce068bf420a485c8096065ea3e4f436\"","server":"Microsoft-HTTPAPI/2.0","x-ms-request-id":"d5c56cdd-644f-48ba-ba2b-6eb444975e4c","date":"Mon, 15 Feb 2016 04:54:01 GMT","connection":"close"}', body: '{"error":{"code":"ServiceUnavailable","message":"Service is temporarily unavailable.","details":[{"code":"NoMoreResources","message":"No resources available for request."}]}}' }
The request-response web service is a recommender retraining web service with the training set containing close to 200k records. The training set is already present in my ML studio dataset, only 10-15 extra records are passed in the request. The same experiment was working flawlessly till 13th Feb 2016. I have already tried increasing the concurrency but still the same issue. I even reduced the size of the training set to 20 records, still didn't work.
I have two web service both doing something similar and both aren't working since 13th Feb 2016.
Finally, I created a really small experiment ( skill.csv --> split row ---> web output ) which doesn't take any input. It just has to return some part of the dataset. Did not work, response code 503.
The logs I got are as follows
{ "version": "2014-10-01", "diagnostics": [{ ..... { "type": "GetResourceEndEvent", "timestamp": 13.1362, "resourceId": "5e2d653c2b214e4dad2927210af4a436.865467b9e7c5410e9ebe829abd0050cd.v1-default-111", "status": "Failure", "error": "The Uri for the target storage location is not specified. Please consider changing the request's location mode." }, { "type": "InitializationSummary", "time": "2016-02-15T04:46:18.3651714Z", "status": "Failure", "error": "The Uri for the target storage location is not specified. Please consider changing the request's location mode." } ] }
What am I missing? Or am I doing it completely wrong?
Thank you in advance.
PS: Data is stored in mongoDB and then imported as CSV