OO7J is a Java version of the original OO7 benchmark (written in C++). This project includes benchmarking Object Relational Mapping (ORM) tools. Currently there are implementations for Hibernate on PostgreSQL, MySQL, db4o and Versant databases. InfoQ and Roberto V. Zicari from ODBMS.ORG recently interviewed Pieter van Zyl, creator of the OO7J benchmark.
Performance Engineering is an important software development discipline that ensures that applications are architect-ed, designed, built and tested for performance. However, mostly in traditional projects the scope of performance engineering is limited to performance testing. This is a sure cause for concern.
New Relic announced the availability of RPM 1.2 which goes a long way into making the job of the developer better with improved collaboration and integration.
When you start to think about profiling Java applications, many tools come to mind - but did you think profiling could be as easy as adding logging statements? This is the goal of the Perf4j project.
Azul's recently announced Zing product brings their Garbage Collector, which achieves both pauseless garbage collection and a high tolerance to the factors which typically impact collection and application responsiveness, to Java programs running on Intel and AMD based servers. This article takes a detailed look at how Azul has been able to achieve these design goals.
In this article Alex Devine explains how Java developers can take advantage of Perf4J, an open source toolset for adding code timing statements and for logging, analyzing and monitoring the results. Alex introduces several aspects of Perf4J like integration with Log4J, use of annotations, pitfalls and good practices.
In this article, Steven Haines talks about web application performance tuning which used to be more of an art than science. He proposes a method called wait-based tuning, making the entire process more measurable and, consequently, more scientific.
Alois Reitbauer shows how to do performance testing of complex software systems during development, testing, and production by starting early in the development phase, breaking the test into pieces, and testing continuously. He also shows how to perform scalability tests on limited hardware or by using the cloud.
Examining the role of monitoring and testing techniques in solving DevOps problems.
