JavaOne 2013: (Key) Notes of a conference – State of the Java platform and all the roadmaps by Amis

Last week’s JavaOne conference provided insights in the roadmap of the Java platform as well as in the current state of things in the Java community. The close relationship between Oracle and IBM concerning Java, the (continuing) lack of such a relationship with Google, the support from Microsoft for Java applications on its Azure cloud and the vibrant developer community – with over 200 different Java User Groups in many countries of the world.

There were no major surprises or stunning announcements. Java EE 7 (release in June) was celebrated, the progress of Java 8 SE explained as well as the progress on Java Embedded and ME. The availability of NetBeans 7.4 RC1 and JDK 8 Early Adopters release as well as the open sourcing of project Avatar probably were the only real news stories. The convergence of JavaFX and Java SE is almost complete; the upcoming alignment of Java SE Embedded and Java ME is the next big consolidation step that will lead to a unified platform where developers can use the same skills, development tools and APIs on EE, SE, SE Embedded and ME development. This means that anything that runs on ME will run on SE (Embedded) and EE – not necessarily the reverse because not all SE APIs are part of the compact profile or the ME environment.

However, the trimming down of the SE libraries and the increased capabilities of devices mean that a pretty rich JVM runs on many devices – such as JavaFX 8 on the Raspberry PI.

The major theme of the conference was Internet of Things. A world of things that are smart and connected, devices like sensors, cameras and equipment from cars, fridges and television sets to printers, security gates and kiosks that all run Java and are all capable of sending data over local network connections or directly over the internet.

The number of devices that has these capabilities is rapidly growing. This means that the number of places where Java programs can help program the behavior of devices is growing too. It also means that the volume of data generated is expanding and that we have to find ways to harvest that data, possibly do a local pre-processing (filter, aggregate) and channel the data to back end systems.

Terms typically used are edge devices (small, simple, publishing data), gateways (receiving data from many devices, collecting and consolidating, pre-processing, sending onwards to back end – typically using real time event processing) and enterprise services – receiving the data-turned-information from the gateways to further consolidate, distribute and act upon.

A cheap device like the Raspberry PI is a perfect way to get started as a Java developer with what embedded (device) programming means and how interaction with physical input and output takes place.


The over all progress on Java is visualized in this overview: Read the full article here.

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