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Learning Xamarin: Adding Photos

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In this post I return to the EvalUate application I was building earlier in this series.  We’re going to add the ability to take a photo of the item you are thinking about buying.  It turns out there are a … Continue reading → For the complete article and hyperlinks, please visit my blog at

The rest of the story (about sand)

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A month ago I wrote about our newly enabled capability to measure quality of service on a customer by customer basis.  In that post I mentioned that we had actually identified a customer experiencing issues before they even contacted us about them and had started working with them to understand the issues.  Well, the rest of that story… We’ve identified the underlying issue.  The customer had an unusually large number of Team Projects in their account and some of our code paths were not scaling well, resulting in slower than expected response times.  We have debugged it, coded
a fix and will be deploying it with our next sprint deployment. Now that’s cool.  We’ve already started working with a few other of the accounts that have the lowest quality of service metrics.  Our plan is to make this a regular part of our sprint rhythm where, every sprint, we investigate a top few customer accounts on the list and try to deploy fixes within a sprint or two – improving the service every sprint. Brian
...(Read whole news on source site)

Geo distribution and high availability in RavenDB

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A customer asks in the mailing list: Due to data protection requirements, we have to store a users data closest to where they signed up. For example if I sign up and I’m in London, my data should be stored in the EU. Given this, how do we ensure when replicating (we will have level 4 redundancy eventually), that any data originally written to a node within say the EU does not get replicated to a node in the states? The answer here is to use to features of RavenDB together. Sharding and Replication. It is a good thing
that they are orthogonal and can work together seamlessly. Here is how it looks like: The London based user will be sharded to the Ireland server. This server will be replicating to other Ireland based server (or to other servers in the EU). The data never leaves the EU (satisfying the data protection rules), but we get the high availability that we desire. At the same time, Canadian customers will be served from a nearby states based servers, and they, too, will be replicating to nearby servers. From a deployment standpoint, what we need to do is...(Read whole news on source site)

The Morning Brew #1657

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Information Conventional HTML in ASP.NET MVC: Replacing form helpers – Jimmy Bogard continues his series looking at building HTML input forms via a set of HTML5 form helper methods, exploring the implementation of the simpler HTML5 input types Short questions – Eric Lippert rounds out his short series of posts answering questions raised during his […]

Human javascript free eBook

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Thanks to a colleague I got to know about this free eBook: It’s not the typical dry to read tech book and doesn’t get you started with javascript. On the contrary it reads in a nice way and talks about what the author was confronted with and how he dealt with it. Something extra to read while sitting outside in the evening sun (when there is any in Belgium). Grz, Kris.

Noncovergence in transactional replication with updatable subscription

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Hello replication champs, 

I have a Transactional replication with updatable subscription setup having 1 publisher and 3 subscribers. All the servers are SQL 2008 and have conflict resolution policy set as subscriber wins. Of late, I have been observing data mismatch for few tables. However replication is running fine without any issue. I am trying to understand what could have caused this issue and how it could be avoided in future. 

Do you have any idea what might be causing this? Let me know if you need any further details.