After decades of building complex IMS environments, organizations running IMS applications face a new challenge: Keeping IMS development organizations efficiently staffed to continue evolving and supporting the business.
Learn some of the major challenges companies face with hiring next-gen developers for mainframe, including barriers keeping Millennials away from mainframe development, and what companies can do to combat those and improve recruitment.
Before executing a COBOL to Java on z/OS conversion, there are several unrecognized pitfalls companies should be aware of that render possible savings to be of no consequence.
Shifting to a mindset where CX is the epicenter enables organizations to build a culture where everyone feels empowered to improve their role in every operational, and ultimately every CX, supply chain.
When you realize that regardless of your position in a company you can contribute ideas, collaborate creatively with others and support your peers, you realize you can help drive success.
While becoming Agile seems like a radical, sweeping shift for a mainframe company to make, it’s historically justified as a powerful method that generates more success because of its incremental framework.
The time and cost of migrating off the mainframe isn’t economically viable, but modernizing the mainframe with new tools and processes is. It’s time to stop fantasizing about moving off the mainframe and start modernizing, or at least fix, your COBOL programs instead.
Rather than assuming all of the Federal Government’s older IT systems are outdated or obsolete, federal technologists must consider where they can improve existing systems that still function better than alternative platforms.
Companies that fail to comply with the GDPR will face the greater of two fines—€20 million or 4 percent of global turnover. Given the dire consequences of failing to measure up to GDPR standards, it’s essential for enterprises to prepare for the GDPR.
We’ve all seen companies make front-page news like “Shoeless” Joe Jackson when what appeared to be a simple code change caused disastrous results.
Before a lookup table is set up, some thoughts must be given to the method you’ll use for accessing the data lookup table and how replacement rows are retrieved.
There’s no question the mainframe is the most powerful backend data transaction system for enterprises and, yes, our United States government.
As long as testers are humans, they’ll prefer working with real names. This brings us to data translation (a.k.a. data lookup), another commonly used data disguise technique.
In light of the ensuing General Data Protection Regulation (GDPR), let’s have a look at common data disguise techniques, taking a closer look at one in particular later on.
In “The Agile Mainframe: Compuware Re-Energizes the Mainframe,” you have the opportunity to read more about how Agile and DevOps processes, modernized development tools, and integrations and partnerships forged with leading mainstream software vendors are transforming the mainframe to be a platform for agility.
When it comes to measuring CICS regions for application performance, analysts need to look at the CICSPlex as a whole as opposed to only looking at the performance of one or a few particular CICS regions.
The end users of disguised data—the testers—in a test data privacy project typically have two objections to how pseudonymization affects test data quality. The first objection is easily handled, but the other must be delicately approached with the right solution.