Nice review of logging frameworks for Java.

Are there cases where a scripting language is more advisable than using Java for both speed of development and performance? How can you identify them? What are the performance implications?

A new document from the European Network and Information Security Agency shows the primary risks of cloud computing and a new chart of smartphone requests by OS shows Android is growing significantly in popularity. CA might be getting more popular with a prize offering for developer ideas.

GNU Octave "is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language. " In numerical calculations speed is very important. I remember that Octave 2.x, although very useful, used to be slow. What about now when there is Octave 3.2? To answer to this question I decided to compare the time performance of this new Octave release with the performances of versions 3.0 and 2.9 using custom made benchmark script. The tests were run on Intel Mac OS X 10.4.11 (Intel Core Duo 2GHz, 2GB RAM).