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Building a Scalable and Resilient Architecture

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This article is a summery of my DevoxxUK talk about microservices. Like many startups before us, Wix.com started as a monolith application, which was the best architectural solution when we had no scalability and availability concerns. But as time went by and our small startup grew and gained success, it was time to change the architecture from a monolith—which experienced ...

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Iterative or Incremental?

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Hopefully most of my readers have noticed by now that I regularly stray from the Agile Gospel, or rather, I have a tendency to go against the common form of Agile. (And if you haven’t noticed you probably haven’t read My warped, crazy, wrong version of Agile post and its philosophical successor, Xanpan.) Today I want to take issue with ...

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CQRS and Event Sourcing for dummies

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CQRS (Command and Query Responsibility Segregation) and Event Sourcing are concepts that are not new at all. Alongside NoSql, Functional Programming and Microservices, these revival concepts are getting traction because of their ability to deal with modern software challenges. Assuming that you’re building a product that has a complex domain with a significant amount of users I can predict that ...

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How to Develop a Highly Customizable Product

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Have you ever heard: ‘We really like your product…except for a few minor details.’? And then the CIO rolls out a list of additional ‘must have’ requirements, hundreds of them, to add to your amazing product. Have you ever heard, or even said: ‘Team, we are about to sign up a highly-profitable contract but…’? And then the customer’s wish list ...

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R: Bootstrap confidence intervals

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I recently came across an interesting post on Julia Evans’ blog showing how to generate a bigger set of data points by sampling the small set of data points that we actually have using bootstrapping. Julia’s examples are all in Python so I thought it’d be a fun exercise to translate them into R. We’re doing the bootstrapping to simulate ...

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JVM Buzzwords Java developers should understand

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This article will share with you a few JVM “buzzwords” that are important for Java developers to understand and remember before performing any JVM performance and garbage collection tuning. A few tips are also provided including some high level performance tuning best practices at the end of the article. Further recommendations regarding the Oracle HotSpot concurrent GC collectors such as CMS and G1 ...

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Don’t jump on the microservices bandwagon

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A couple of weeks ago I was very fortunate to be able to attend the excellent GOTO Amsterdam conference. One of the tracks was all about microservices and since the company that I’ve been working for as a contractor for the last year is struggling to move to a (micro)service architecture, of course I just had to attend most of ...

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Java performance tutorial – How fast are the Java 8 streams?

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In this JAX Magazine sneak preview, JAX London speaker Angelika Langer answers the most important question for anyone using Java streams: are they really faster? Java 8 came with a major addition to the JDK collection framework, namely the stream API. Similar to collections, streams represent sequences of elements. Collections support operations such as add(), remove(), and contains() that work ...

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Using JPA And CDI Beans With Camel on WildFly

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I didn’t really plan for it, but with a conference free month, I had the chance to dig around a little more and show you even more of the Camel on WildFly magic, that the WildFly-Camel subsystem provides. The Business Background The demo is derived from one on JBoss Demo-Central by Christina Lin. She demonstrates the use of File and JDBC ...

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R: Blog post frequency anomaly detection

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I came across Twitter’s anomaly detection library last year but haven’t yet had a reason to take it for a test run so having got my blog post frequency data into shape I thought it’d be fun to run it through the algorithm. I wanted to see if it would detect any periods of time when the number of posts ...

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