Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

Related Topics: @CloudExpo, Java IoT, Microservices Expo, IBM Cloud, Weblogic, Machine Learning

@CloudExpo: Article

Java EE PaaS and Application Server Interoperability

Waratek Java EE PaaS

Java EE PaaS Growth & Interoperability Concerns
As observed in my earlier articles, the Java EE PaaS portfolio is gaining in strength each day, with support from major players such as IBM, Oracle, VMWare, Redhat , Google and Amazon.

However unlike the Microsoft > .NET Framework > Azure PaaS equation where there is just one version of the framework from one vendor, the openness of Java EE led to several implementations of application server-specific implementations.

As Java EE standards define a core set of API, frame works and features as part of its implementation, an application server is the container that executes these instructions and provides a development and runtime platform for Java EE applications.

While application servers are expected to implement the Java EE specifications & technologies like (SERVLETS, JAVA SERVER FACES, ENTERPRISE JAVA BEANS, PERSISTENCE and others like WEB SERVICES) in exactly the same way , they do have implemented lot of extensions specific to the application servers to improve the scalability , usability and other

Quality of Service of the Applications
For example if you are developing your applications on WebLogic platform, Optionally, a weblogic.xml deployment descriptor, an XML document containing WebLogic Server-specific elements for Web applications can be used. Additional deployment descriptors provide WebLogic-specific deployment information. A weblogic-cmp-rdbms-jar.xml deployment descriptor unique to container-managed entity beans maps a bean to tables in a database. The weblogic-ejb-jar.xml deployment descriptor supplies additional information specific to the WebLogic Server environment, such as JNDI bind names, clustering, and cache configuration.

Similarly IBM WebSphere has many extensions beyond the base Java EE specifications, for example, WebSphere Application Server version 7.0 supports configuration of stateful session bean timeout, per bean, using the ibm-ejb-jar-ext.xmi file (for EJB 2.x modules), and the ibm-ejb-jar-ext.xml file (for EJB 3.x modules).

Over the last several years while Java EE has been the accepted as an enterprise standard in many a enterprises, however due to vendor preferences and marketing strategies most enterprises are yet tied to specific application server implementations like WebSphere, WebLogic and there is a huge penetration of open source application servers like JBOSS, Tomcat also prevalent added to this they are relatively smaller players like Pramati, SYBASE Application Server in the picture.

In spite of all the cross application server interoperability the Java EE platform brings in, yet enterprises do find significant effort in porting an application from one application server to another and especially they spent efforts on the non-functional characteristics like performance, scalability, availability and security.

With all the Application Server Specific interoperability concerns in the Java EE applications in mind, let us analyze the current Java EE PaaS market from that perspective.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...