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Garbage Collection in Java (3)

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This follows on from my previous two garbage collection blog posts: Overview of GC in Hotspot. Parallel Garbage Collectors. Concurrent Mark Sweep The parallel garbage collectors in Hotspot are designed to minimise the amount of time that the application spends undertaking garbage collection, which is termed throughput. This isn’t an appropriate tradeoff for all applications – some require individual pauses ...

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How to keep session in HttpBuilder with cookies

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In my real-world scenario I have a REST service for AJAX purposes. It renders data series for graphs. I want to test it with groovy’s excellent HttpBuilder. There is a problem though – these requests are only available for already logged in users. In this post I present a complete solution to maintain a session state between HttpBuilder‘s requests. Session ...

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Reducing memory usage with String.intern()

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Every now and then you have a dying production application at hand. And you know you need to patch it as fast as possible. So have we, and thought it would be interesting to share one of the recent war stories. In this case we had a chance to patch an application with something as simple as String.intern(). But let ...

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Developing SOAP Web service using Apache CXF

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In last post I walked through the steps for developing a simple RESTFull service using apache CXF.  In this post I will be talking about developing SOAP web service using CXF. Before moving forward let us understand few of the concepts/elements which makes up a SOAP web service SOAP or Simple Object Access Protocol  SOAP is a protocol for exchanging ...

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Making Sense Out of Datomic, The Revolutionary Non-NoSQL Database

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I have finally managed to understand one of the most unusual databases of today, Datomic, and would like to share it with you. Thanks to Stuart Halloway and his workshop! Why? Why?!? As we shall see shortly, Datomic is very different from the traditional RDBMS databases as well as the various NoSQL databases. It even isn’t a database – it ...

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Introduction to Cloud Computing

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Cloud Computing is a delivery of computing as a service rather than a product. I will come back to this after a few lines of introduction. Still then stay put. Introduction In very recent past if a company decided to create and host an application they would need to do following: Traditional infrastructure   Create a physical infrastructure Layer – ...

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Distributed System Development Considerations

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There are a number of factors to take into account while developing distributed software systems. If you don’t even know what I am talking about in the first sentence then let me give you some insight, examples and for instances of what distributed systems are. Overview A distributed system is when multiple physical hardware devices interact with separate and discrete users and collaborate together through these ...

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Add a sliding menu with animation to an Activity

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I was playing around with animation, layers and so on and i have coded this simple sliding menu. The idea is very simple when user touches the screen and moves up his finger the app shows a menu, when user touches the screen and moves down his finger this menu disappear. As you can see the idea is very simple ...

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Android AsyncTask ListView – JSON

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Many times we need to populate a Listview using an AsyncTask. This is the case when we have to invoke a remote server and exchange information using JSON. In this post i want to go a bit deeper in the ListView analysis . In the previous posts, i described how to use ListView in several ways using standard and custom ...

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Akka vs Storm

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I was recently working a bit with Twitter’s Storm, and it got me wondering, how does it compare to another high-performance, concurrent-data-processing framework, Akka. What’s Akka and Storm? Let’s start with a short description of both systems. Storm is a distributed, real-time computation system. On a Storm cluster, you execute topologies, which process streams of tuples (data). Each topology is ...

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