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

Related Topics: Weblogic

Weblogic: Article

Managing Complexity of J2EE

Managing Complexity of J2EE

There's no question about it - J2EE applications are tough, burly pieces of software. Often they require numerous servers, communicate over various protocols, and run on software from various vendors.

Let's examine a simple J2EE application in which everything, including the database, runs on one machine. In this case, the Web server and application server are a single instance of WebLogic, and the database is the one bundled with your version of WebLogic. Sounds pretty easy to manage, right? You just put your applications in the /applications directory and WebLogic deploys them for you. Database connectivity to the bundled database came out-of-the-box. Could it get any easier? Actually, it's just the opposite. It could get a lot harder.

To get closer to a production environment, let's add security in the form of SSL and a firewall. We just added two more vendors (certificate authority and firewall vendor), another machine, and another Web server install. Our application is looking more complex, yet still manageable. However, we really need a production database on its own server, so let's install a database server and configure WebLogic to point to it. If you're counting, that's another box, another vendor, another install, and a big headache trying to configure the connection settings. I'm not even done throwing hardware, load balancers, WebLogic clustering, e-mail servers, content management software, and legacy systems into the mix! Where am I going with this? My point is simply that J2EE applications are complex. They're complex to design, complex to build, and complex to manage.

What can you do to manage the complexity inherent in J2EE applications? You can focus on a number of areas to bring it to a manageable level.

First, utilize the features of your application server to their fullest potential. The BEA WebLogic Server platform is designed to make the tasks of developers and administrators a breeze. For starters, take a look at WebLogic Workshop and the WebLogic Server console. Workshop's approach to automated deployment of Web services and easy-to-use wrappers around J2EE components like JMS and EJB makes development of complex applications easier than ever. The WebLogic Server console offers administrators an easy way to configure and monitor WebLogic servers and their applications, even across clusters.

Another option is to utilize third-party software specially designed for managing Web applications. There are numerous products, such as NPULSE (www.npulse.com) AppAssure, that integrate nicely with WebLogic's JMX (Java Management Extensions) administration system. These products offer root-cause analysis to help you determine exactly where an error in your application has occurred, even across multiple servers in an n-tiered scenario. Also, they generally offer lightweight monitoring that can run alongside your production application without hindering it with bandwidth consumption, or raising your storage requirements for statistics.

A common problem encountered in large production environments is lack of clarity on the resources and machines in the data center - their purpose, their availability, and even what versions of software and applications are currently running on them. You can solve these problems and many more by utilizing a J2EE data center management platform that automates time-consuming tasks for developers and system administrators. These tasks might be tracking software versions, or configuring a Web server tier for security and virtual hosting.

Another example might be automatically configuring J2EE resources rather than requiring a system administrator or developer to maintain this skill set or knowledge base about the data center. For instance, the Evolution Hosting platform (www.evolutionhosting.com) can automatically configure JDBC connections and mail sessions so that they connect correctly without requiring you to have knowledge of server configuration files (e.g., config.xml) or the data center environment, such as ports or machines and their functions.

Together, development, system administration, and monitoring tools, along with an automated J2EE data center platform, can help manage even the largest production installations. The complexities of J2EE applications will fluctuate with requirements in scalability, security, and flexibility. At least with WebLogic as your platform you are equipped with state-of-the-art development and administration tools, and a slew of vendors whose innovative products fill the gaps.

More Stories By Jason Westra

Jason Westra is the CTO of Verge Technologies Group, Inc. (www.vergecorp.com). Verge is a Boulder, CO based firm specializing in eBusiness solutions with Enterprise JavaBeans.

Comments (1)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
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...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...