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Rather than assuming all of the Federal Government’s older IT systems are outdated or obsolete, federal technologists must consider where they can improve existing systems that still function better than alternative platforms.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.
IMS is still used by some of the largest and most important mainframe customers in the world. It still has the ability to be incredibly fast and efficient. But developers often forego measuring IMS transaction performance, a critical component to developing and delivering mainframe software in a digital economy that expects speed and quality.
Test environments are vulnerable against GDPR legislation, and therefore, action must be taken to desensitize test data and improve data protection. More than likely, a lot of IT organizations need to be thinking of how to start a test data privacy project.
Once people commit to change and work through the process of detaching from old constraints, with patience the benefits of Agile will unfurl for an organization.
A word of advice: I’d make sure you have feedback between customers and development, development and operations, QA and customers, and QA and development. Having multiple feedback loops circling between these groups will yield some amazing results, enabling your mainframe shop to develop and deliver software at a remarkable pace.
As technologies of engagement flourish and access mainframe data millions of times daily, companies are reversing their neglect of the mainframe and working hard to reinstitute the talent and knowledge needed to leverage the platform as the backbone of their success.