Fastest way to handle and store a large number of posts in a very short time?

I need to handle a very large number of HTTP posts in a very short period of time. The handling will consist of nothing more than storing the data posted and returning a redirect. The data will be quite small (email, postal code). I don't know exactly how
many posts, but somewhere between 50,000 and 500,000 over the course of a minute.
My plan is to use the traffic manager to distribute the load across several data centers, and to have a website scaled to 10-instances per data center. For storage, I thought that Azure table storage would be the ideal way to handle this, but I'm not sure
if the latency would prevent my app from handling this much data.
Has anyone done anything similar to this and have a suggestion for storing the data? Perhaps buffering everything into memory would be ideal and then batching from there to table storage. I'm starting to load-test the direct to table-storage solution and
am not encouraged.

You are talking about a website with 500,000 posts per minute with re-direction, so you are talking about designing a system that can handle at least 500,000 users? Assuming that not all users are doing posts within a one minute timeframe, then you
are talking about designing a system that can handle millions of users at any one time.
Event hub architecture is completely different from the HTTP post architecture, every device/user/session writes directly to the hub. I was just wondering if that actually work better for you in your situation.
Frank
The site has no session or page displaying. It literally will record a few form values posted from another site and issue a redirect back to that originating site. It is purely for data collection. I'll see if it is possible to write directly to the event hub/service
bus system from a web page. If so, that might work well.

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