Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary


Glassfish v3 Prelude Released



Sun Microsystems announced today the availability of Sun GlassFish Enterprise Server v3 Prelude (https://glassfish.dev.java.net/), a lightweight Web application server based on the OSGi standard. This release includes a preview of the features that will be available in the upcoming Java Platform Enterprise Edition 6 (Java EE 6).
 
It uses a modular approach for easier installation, management, and deployment of Java EE applications of all sizes. GlassFish v3 Prelude allows you to easily scale projects from small Web-tier deployments to large-scale mission critical architectures. It also includes dynamic language support for Java, Groovy on Grails and JRuby on Rails without sacrificing the performance developers seek.

Earlier this week, I spoke with Paul Hinz and John Clingan of Sun, and they gave me an overview of this new release of Glassfish, and they told my why they're so excited about it. First of all, it's fully OSGi-compliant, leading to its modularized implementation. It's the first step towards a fully-compliant Java EE 6 application server with profiles. However, since the Java EE 6 specification is not yet finalized, Sun decided they wanted to continue with Glassfish's innovation and supply this "prelude" release with a subset of features now.

A Bigger Fish

Overall, Glassfish is growing in terms of downloads, installations, user registrations, as well as requests for related white papers and Webinar attendance. In fact, here are some numbers:

-14 million downloads since May 2005, when they started tracking them. This is completed, actual downloads; not download attempts
-8 million downloads this year so far
-225,000 user registrations this year so far

With the prelude release, you'll get an early glimpse of Java EE profiles, as it includes a lightweight web-tier solution that offers an alternative to Tomcat. It also includes new rapid development features, such as the ability to save a change to your code, and simply refresh the browser to see that change. There's no need to restart Glassfish, or even recreate your session; your full session state is maintained. 

In addition, it features quicker startup times, smaller downloads, GUI-based administration, clustering support, and improvements in scripting support. For instance, Glassfish v3 Prelude now supports native Ruby application deployment, without the need to package the application as a WAR file. This is accomplished through a new microkernel design approach inside Glassfish. As a result, it makes the process more natural for Ruby developers than it was before.

Also, this new version of Glassfish includes a new version of the Metro web services stack (https://metro.dev.java.net) with support for .Net 3.5 web services integration. It also includes a new embedded API to more easily make Glasshfish part of a deployable release of your own software. And, given its new modular design, it's much more lightweight than in the past also.

Java EE 6 Updates

With the Glasshfish v3 Prelude release, you get a fully supported, modular, OSGi-compliant, application server with a preview of many of Java EE 6's features. You also get access to the latest Java EE 6 updates as they become available. With the Glassfish update center, you can easily download the latest features as they become available. For instance, currently in the update center, releases of Groovy on Grails, as well as JRuby and rails have just been made available.

The Future of Glassfish

Sun's goal is to make Glassfish part of a broader platform. They aim to make it part of the enterprise suite of software they offer today, such as Identity server, MySQL, and xVM virtualization. It's more than a reference implementation, its the foundation for Sun's enterprise software business. Download the v3 Prelude release and give it a try.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.