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Optimizing J2EE Applications: A Comparison of J2EE Design Patterns and Their Performance
Java 2 Enterprise Edition offers a great platform for developing enterprise level applications. Unfortunately, too often the success of J2EE projects is threatened by poor performance. This seminar presents the results of a benchmark study conducted by Urbancode comparing four different J2EE design patterns. The seminar also covers J2EE architecture best practices that can help you develop high performance as well as maintainable, reusable, and readable code.
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The Street Smart Approach to Developing Enterprise Level Web Applications with J2EE
This seminar presents the unique software development process used by Urbancode to develop J2EE based web applications such as Alamo's MPOWERENT (currently used by over 8,000 insurance adjusters). The seminar covers the architecture (including patterns and idioms) used by Urbancode to design applications whose performance is over 100 times faster than those based on other J2EE architectures. Attendees also learn the project workflows used by Urbancode to coordinate quality and deliver solutions at Internet speeds.
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Load Balancing Web Applications
This article offers an overview of several approaches to load balancing on Web application server clusters. A cluster is a group of servers running a Web application simultaneously, appearing to the world as if it were a single server.
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Best practices to improve performance using Patterns in J2EE
Pattern is a solution to a recurring problem in a context. Once Pattern (solution) is developed from a recurring problem it can be reused without reinventing the solution again. Patterns are popularized by the classic book Design Patterns: Elements of Reusable Object-Oriented Software, by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, also called as GOF (Gang of Four) representing four authors who wrote that book.
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Urban Code J2EE Performance Tips
Urbancode routinely presents seminars on Java specific as well general softwre development topics. In the past, we have presented at: Central Ohio Java Days Conference, Cleveland Java SIG, Cincinnati JUG, Rochester JUG, Chicago JUG, and the Dayton JUG.
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Extreme Performance Tunning
The performance of J2EE-based applications sometimes doesn't live up to users' expectations. Usually it's impossible to quantify exactly where the bottlenecks are. Many developers spend time searching for articles on the Internet only to find the same old tips about using the synchronized keyword and string concatenation without ever finding information that's useful. This article will help you find the holy grail of Java performance.
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The Key to Supperior EJB Desgin
Over the past several years EJB technology has entered the software development mainstream. This new level of recognition and greater popularity brings an increase in design activities in the EJB space, such as best practices and design patterns.
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Best Practices to improve performance in EJB
Over the past several years EJB technology has entered the software development mainstream. This new level of recognition and greater popularity brings an increase in design activities in the EJB space, such as best practices and design patterns.
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12 Tips for Better EJB Performance
Enterprise JavaBeans (EJBs), the widely adopted server-side component architecture for the Java 2 Enterprise Edition (J2EE) platform, enable rapid development of mission-critical applications that are versatile, reusable, and portable across middleware. At the same time, they protect IT investment and prevent vendor lock-in. Performance is the key aspect of any EJB application's success.
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Improve your remote object design
In this new series, you'll learn how best to design and optimize your Enterprise JavaBeans components, how to reduce RMI traffic and JNDI access, and generally get the most out of your enterprise applications. In each tip, Brett McLaughlin, a leading authority on enterprise Java programming, will present a best practice or design pattern.
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Enterprise Java Performance: Best Practices
This paper discusses best practices for maximizing the performance of enterprise Java* workloads. First, we introduce the importance of performance of enterprise Java applications. We then describe our top-down, data-driven, and closed-loop approach to characterize where the problems are. We examine the performance of the software/hardware stack, first from the system-level perspective (topology, I/O, network), then from the top software layer (application level), through the middle layer (Java Virtual Machine), and down to the platform layer (processor, memory).
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