Application modernization is gaining momentum and is already gaining the environment of your data center and mainframe. Currently, the number of users who want instant access to their data on the Internet and from their favorite devices continues to grow. The ever-evolving mainframe application architecture is now ready to meet their needs.
Today’s software development process supports Java workloads. It can host web services, use virtualization to run multiple instances of applications, and work with the cloud. Mainframe cycles (“one million instructions per second”) are getting cheaper and cheaper. Major advances further reduce costs by allowing developers to free general-purpose processors from application processing.
These advances have opened up many opportunities for all developers, regardless of whether they specialize in traditional mainframes or more modern languages. This gives organizations the ability to create new applications that combine the stability, reliability, speed, and mainframe computing power with the flexibility of web interfaces. Mainframe configuration and change management (SCCM) ensures the high quality of these applications, smooth operation and smooth production.
In the past they talked about “Modern software development”. Today, application upgrades are synonymous with adding workloads and features to the mainframe. Manufacture automatization played an important role in this transition, constantly improving the architecture of mainframe applications to meet business requirements such as e-commerce. The traditional and monolithic architecture of mainframe applications is becoming more flexible, flexible, and responsive to business changes.
Mainframe application development managers have the task of adapting to this hybrid application universe so that change can happen quickly while limiting risks and increasing costs. Three areas that focus on the problems associated with this evolution are process, people, and technology. Process: Managing the application life cycle is more complex.
In fact, applications now require much more moving parts, innovative technologies, teams with different programming skills and cultures, as well as sensitive dependencies in both distributed environments and mainframes. Coordinating application changes between multiple isolated teams is more complex. Deploying codes in production is fundamentally more risky, and predicting “configuration inconsistencies” in an enterprise requires many skills and constant vigilance. Thus, each group (mainframe and distributed environment) has its own methods and does not want to change. In addition, mainframe migration or business-related events, such as mergers and acquisitions, sometimes occur overnight. It can also be confusing for IT departments, especially with applications or even with the location of the source code.
Technologies. Traditional mainframe software and change management tools typically plug into the old cable mainframe. They are not easy to adapt to the development of modern mainframe applications, including competing agile methods or Scrum, which begin to spread when developing mainframe applications. They also do not adapt to new hybrid applications and their protocols. These traditional tools require too much manual adaptation effort, leading to dangerous flaws. Development teams that depend on these tools can spend a considerable amount of time and use a large budget to develop hybrid applications. Errors and downtime can be more frequent, rollbacks and checks become time-consuming and time-consuming.
Developer concept and programming, the same fight! Participates in planning sessions, evaluates tasks and their difficulties. Definition of unit tests. Implement functionality and unit tests. The client writes, explains and masters the scripts. Functional tests for a specific recipe. Defines priorities. Automatic recipes for checking client scenarios. May affect customer choices based on Tracker script testability. Follow the schedule for each iteration. Understand the ratings made by developers regarding their workloads. Interact with developers to keep up with the current iteration schedule. Detection of possible delays and corrections, if necessary.