Choosing a Java EE Application Platform, Pt. 2: Technical Considerations

Part 1 looks at a handful of business considerations that you need to account for when you’re looking at Java EE application platforms — but that is only a part of selecting anything for your IT environment. In addition to treating an IT decision as a capital asset, your planning has to include technical factors: current and future development models, different types of applications, even rapid data processing.

Success today depends on achieving high levels of agility and flexibility. Major technology trends like mobile, the Internet of Things, and big data rely on lightweight, iterative environments like virtualization, cloud, and containers. This is  forcing organizations to rethink their  application development and deployment processes, application architecture designs, and choice of technologies used to build and run applications.

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Choosing a Java EE Application Platform, Pt. 1: Business Considerations

Historically, choosing a Java EE application platform was like any major capital planning — it was driven by a clear business logic:

  • Support for your current platform was expiring.
  • You had to standardize your systems.
  • You needed to accommodate a legacy system.
  • You needed to reduce costs.
  • You needed to take advantage of a specific advancement in Java technology.

Those are still primary factors, but there are a lot of additional factors to consider for something as foundational as an application platform. Part one of this series covers the business questions; part 2 will be out later this week to look at some of the technical considerations. [UPDATE: Part 2 is now live.]

Business considerations have a significant role in IT decision-making because your partnerships and budget commitments directly impact your company’s development agility, ability to adopt new technologies, and internal and external design decisions. When you start weighing your options, aside from transaction costs, there are a handful of questions you must ask to make sure that you maintain business agility.

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Event-driven computing with Red Hat JBoss Data Grid

The convergence of Mobile, Social, Big Data, and Cloud has placed increasing demands on today’s applications to react instantaneously to changes in data at a large scale. A delay of a few seconds can mean the difference between engaging or losing a customer for a retailer, increased liquidity or fraud risk for a financial institution, or escalation of an adverse occurrence in a manufacturing process or IoT network.

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JBoss EAP – Spearheading OSS adoption

There are a few Open Source technologies and products that have spearheaded the drive of Open Source  into the enterprise and managed to overcome historical objections  – Linux, Apache Web Server, MySQL, Postgres, WordPress, Hadoop, to name some of the better known technologies. Those technologies paved the way for the open source revolution of the last decade; every enterprise vendor and every organization has adopted open source to some degree. Open Source has won; get over it.

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