Twitter Streaming API
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The Twitter Streaming API allows developers to access tweets in real-time through a persistent HTTP connection. It provides a more efficient way to process large volumes of tweets compared to polling the REST API. Developers create a signed HTTP request, handle the chunked JSON response without a content length header, and continuously process tweets. The Streaming API can sample the full firehose of tweets, filter for specific topics, and power applications that interact with tweets in near real-time.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Twitter Streaming API
- 1. Do More, Faster The Twitter Streaming API
- 2. 1. Create a HTTP Request GET /1/statuses/sample.json HTTP/1.1 Authorization: OAuth realm="",oauth_no... Host: stream.twitter.com Accept: */* Sign it with OAuth
- 3. 2. Handle the response HTTP/1.1 200 OK Content-Type: application/json Transfer-Encoding: chunked Server: Jetty(6.1.25) {"in_reply_to_status_id_str":null,"geo":n ull,"text":"Hey fat boyyyyy!!... What’s missing? No Content-Length header! HTTP Libraries won’t know when to stop consuming
- 4. 3. Keep handling it • Twitter will keep sending you JSON chunks until you kill the connection • Normal HTTP libraries make this awkward • Try non-blocking / event-based I/O
- 5. The Streaming API lets you do cool stuff • Sample the firehose, free ~1% • Get interesting subsets of all tweets • By filtering, can get all tweets on a topic • Interact in near-realtime • Process more efficiently
- 6. Also... • User Streams • Site Streams
- 7. At Conversocial, we built a way to search twitter on behalf of our clients. There’s a stream client that receives tweets from the Streaming API
- 8. We monitor the stream client from a separate thread
- 9. We still have to poll the REST API to cover gaps between connections
- 10. Need to disconnect stream client from processing tasks. We do this via a queue.
- 11. Searches have to be matched back to the terms that produced them - the stream is multiplexed.
- 12. Thanks for listening! gareth@conversocial.com http://www.github.com/gareth-lloyd/twistedstream
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