AIX at 35 and the Layered Significance of AIX 7.3
March 10, 2021
Rob McNelly on AIX and Power hardware improvements, and where the AIX roadmap might lead beyond 2023
E-BooksTechChannel E-book: Unlocking COBOL Business Value
March 9, 2021
The ubiquity of both the IBM Z platform and COBOL programming language comes from the forethought IBM put into each in 1964 when the first mainframe was launched. COBOL was optimized for business processing with no need to recompile programs. As a result, it continues to run the world’s economy today. But many COBOL shops […]
ArticlesA New Resource for Linux on Power Developers
September 29, 2020
For a new resource guide, check out the logically and literally named Linux on Power Developer Portal.
ArticlesPHP Enters a New Era
January 28, 2020
Jesse Gorzinksi discusses a recent development in the world of PHP on IBM i: standalone PHP (without Zend Server) is available in RPM form.
ArticlesBuild Up A Webserver With Nginx On IBM i
January 14, 2020
In this post, IBMer Ji Mo walks through the steps of building a nginx server on IBM i.
Celebrate 25 Years of PHP at IBM i Day at php[world]
September 16, 2019
Guest blogger Eli White encourages IBM i developers to attend php[world].
ArticlesThe Implications of IBM’s Red Hat Acquisition
September 10, 2019
Red Hat's acquisition by IBM is bound to take us in some interesting directions.
ArticlesExploring Open-Source Support on IBM i
September 3, 2019
Jesse Gorzinski, business architect for open source on IBM i, explains open-source support options.
ArticlesZowe Launches IBM Z Toward Modern Computing
May 1, 2019
As data growth continues on an exponential curve, our ability to process it efficiently takes on outsized importance. Mainframes—the true workhorses of the computing world—can be worth their weight in gold to companies and engineers pushing the boundaries of artificial intelligence (AI) and machine learning or doing heavy data analysis. Most Fortune 500 companies use […]
ArticlesMachine Learning on AIX
April 16, 2019
If you believe that machine learning is strictly for Linux, check out this IBM tutorial on installing and configuring Python machine learning packages on AIX.