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common use cases for graph databases

Value in Relationships – How Graphs Make Databases Fun Again by Michael Hunger

Michael Hunger, Neo4j

We’re in luck again, the last VirtualJUG session in July was an excellent presentation “Value in Relationships – How Graphs Make Databases Fun Again” by Michael Hunger.

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Developer Productivity Report 2015 Java Performance Survey figure 1.16 what are the typical root causes you most often experience

Developer Productivity Report 2015: Java Performance Survey Results

Back in March 2105, we created a list of questions based on Java performance testing that would give us insights into how teams and organizations go about performance testing their applications. A few months later we collated this data, examined it thoroughly and found trends that I’m pleased to share with you in this report.

The report is split into 3 sections. The first is a representation of the raw answers given to the survey questions. No fluff, no pivoting, just answers! Parts 2 and 3 provide a more in-depth analysis to understand trends, for example:

  • How do teams do their performance analysis and testing?
  • How long does it take to verify that there are no performance regressions?
  • Who monitors and cares about the performance of your production deployments?
  • What are the most common performance issues that haunt Java projects?

Intrigued? Continue reading inside…

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Java Performance Survey results teaser: Do performance issues affect users

Sneak peek of Developer Productivity Report 2015: Java Performance Survey Results

Oh-boy, oh-boy, oh-boy! I’m extremely happy to say that we’re really close to publishing the results of the Java Performance Survey, that we’ve run this spring. I hope you remember it, we asked you about the tools that you use for performance testing. How do you do it, how long does it take to verify that there are no performance regressions and who monitors and cares about the performance of your production deployments?

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So why would I use a distributed database like Apache Cassandra? by Christopher Batey

Christopher Batey photo

Last week’s Virtual JUG session was about distributed databases in general and Apache Cassandra in particular. We looked at how distributing your database might help your application to run smoother, when your business has a need to go distributed and what you should know before you take it there.

Virtual JUG speaker, Christopher Batey, a technical evangelist and a software engineer at DataStax, presented a great session, not only talking about the Cassandra technology and design choices, but also covering general details and theory of distributed databases.

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Geeking Out at the Geekiest Conference this side of Planet-Geek!

GeekOut-web-header-1

The geekiest JVM technology conference, GeekOutEE was held for the fifth year in Tallinn, Estonia in early June. The two day conference was sold out three months in advance with over 100 people on the waiting list and a 99% attendance rate. It’s a no brainer why 430 attendees from 15 countries ventured to this conference- the speaker line up was top notch with industry experts from 10 countries and 18 sessions over 2 tracks.

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State of the Art Data Access with Spring Data by Oliver Gierke

oliver-gierke

The last vJUG session in June was all about Spring Data project and how it can make your life easier by unifying and simplifying the way your code interacts with the database. The session was special because we had Oliver Gierke from Pivotal for the speaker. Oliver is the lead of the Spring Data project and no doubt is in the best position to describe how the project is shaping up and why it’s happening. Oliver delivered a great and educational session and if you didn’t get a chance to ask questions on the IRC, which is by the way, #VIRTUALJUG at Freenode, you can always catch up with him on Twitter: @olivergierke.

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Gradle: Hot or Not by Andres Almiray

Andres Almiray

This time Virtual JUG had the opportunity to invite and talk to one of the best Gradle experts in the world — Andres Almiray. Andres is a Java Champion with more than 16 years of experience in software design and development, he’s a brilliant Java and Groovy developer, a true believer in the inevitable success of Gradle, open source in general. He’s the spec lead of JSR 377 that tries to standardize common parts of standalone Java applications, both desktop and IoT ones.

He talked about things that he finds the most attractive in Gradle and the best ways to organize a project, what to think of Gradle wrapper and how it helps you establish reproducible builds. This was a great live session with no slides. Check out what we learned from in inside.

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Examples where Graph databases shine: Neo4j edition

In my previous post about Graph databases, we went through the introductions to NoSQL and Neo4j, tried to understand what a graph storage is, and how it makes our lives a little easier. We also had a sneak peek into the workings of the SQL through the example of the friends-of-friends scenario and looked how Cypher, the query language for Neo4J database, makes things simpler by easing the syntax, making your queries more readable and expressive at the same time.

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Java Bytecode in Practice by Rafael Winterhalter

Rafael Winterhalter

Our speaker for this session, Rafael Winterhalter, lives in Oslo and is the main author and contributor to ByteBuddy, a runtime code generation library. He is also part of the excellent community that helps put together JavaZone a great conference (2nd largest in Europe actually) that happens each year in Oslo.

Rafael took time to talk to us about bytecode, It was an excellent educational session, Rafael is a world class speaker and I encourage anyone who deals with Java code to watch it and become more familiar with such an important part of Java ecosystem: Java bytecode.

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The Developer’s Guide to Understanding Performance Problems

To improve the performance of your application you need to perfectly understand the system, its needs and abilities, and feel comfortable using a range of performance related tools:​ APMs, profilers, testing libraries that will help you solve the issues you have.

Which Java performance tools are you going to use in your next project and why would you choose one over the other? There are many aspect which may sway your decision and of course it will depend on the details of application you’re building. This report covers typical Java performance considerations, monitoring and application performance management tools, Java profilers, and common performance testing libraries.

Inside, we talk about Dynatrace, AppDynamics, NewRelic, Plumbr, Illuminate, Java Mission Control, YourKit, JProfiler, XRebel, Honest profiler, JMeter, Gatling and show some of the tools in action on a reference application.

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