Browse by Tags
All Tags »
Parallel »
Reactive (
RSS)
Open House at Microsoft yesterday I was lecturing at Microsoft about VS 2012, .NET 4.5, async/await, Rx and TPL Dataflow. there was 90 people attended and I hope that everybody has learn something new. the code sample for this lecture available here .
Visual Rx - Part 6 this post is part of the Visual Rx series and it will focus on Visual Rx Viewer Side Extensibility . this post is dealing with advance topic, you may want to read other post on this series before reading this one. this post refer to version 2.0.20.622.60 or higher (the extensibility model was simplify at this version). Visual Rx support extension via plug-ins bundle contract. a plug-ins bundle contains: General information about the package (like title and description), Publisher...
Visual Rx Version 2.0.20622.60 I have release a new version of Visual Rx just before my fight to the Build conference. the version support .Net 4.5 and is having a new plug-in model. this post will be follow by a post about writing plug-ins for the Visual Rx. for the client side it is recommended to use the Nuget package (write visualrx into the Nuget search box). if you want to learn more about .Net 4.5 parallelism, Rx and Tpl Dataflow you can check out the Sela developer practice conference...
Rx - Sample this post will focus on the Rx Sample operator. the Sample operation does sampling the observable stream and forward less intensive data stream of the sampled datum. it can be prove very useful for scenario like handling accelerometer stream which can produce 60 value per second, in some cases we don't need such intensity and our machine resources may be happier to handle only 10 value per seconds. the same may be apply to video stream analytics and many other scenario. this is how...
Rx - Buffer this post is on of a series of post about Rx (Reactive Extension). in this one I will discuss the Buffer operator. no doubt that one of the most useful Rx operator is the Buffer . the Buffer operator enable to reduce a throughput pressure and gain better utilization of our resources. let take a scenario of monitoring data stream and persist the datum into database (or send it through a network boundaries). assuming the datum rate is 1 per millisecond, databases does not typically design...