There’s no question the mainframe is the most powerful backend data transaction system for enterprises and, yes, our United States government.
These are actions you should take to eliminate common software development bottlenecks. Doing so will help you improve the speed and efficiency of your 2-week COBOL sprint.
Despite the availability, many mainframe shops are unaware modern tools contain improved functionality for aiding COBOL migration strategies and achieving improved performance.
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.
The Pokémon franchise logically mainstreaming its brand for the digital age via Pokémon Go. Mainframe software companies should mainstream the mainframe for the digital age, too.
The streamlined structure, rapid skills development and accountability associated with the Scrum team makes it an ideal technique for achieving mainframe agility.
You need someone who fanatically believes in the benefits of mainframe DevOps and can drive an organization to embrace changes in people, process and technology to achieve those benefits. Enter the mainframe DevOps evangelist.
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.
With today’s release of ISPW Deploy, Compuware is again equipping large enterprises to achieve mainframe agility and release fresh COBOL code with unprecedented speed and frequency.
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.
When our journey towards mitigating the mainframe skills shortage at our company began, we responded to the foreshadowing of a major skills gap that needed our immediate attention; we realized the next generation of developers wasn’t going to come to us, and that we needed to go to them; and we created a plan for how we should begin reaching out to them.
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.