Mainframe DevOps Training is designed to help professionals learn how to integrate DevOps practices into the mainframe environment. Mainframe systems, which have been traditionally isolated from newer technologies, are increasingly becoming integrated into DevOps pipelines to achieve faster development cycles, more efficient collaboration, and enhanced automation.

Why should you choose Nisa For Mainframe DevOps Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on Mainframe DevOps Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your inquiry for Online Job
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

Mainframe DevOps Training

Duration: 25 Hours

Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)

Training Method: Instructor Led Online One-on-One Live Interactive

Sessions.

COURSE CONTENT :

• Introduction to Mainframe Systems:

  • Basics of Mainframe architecture and components
  • Overview of IBM Z/OS, COBOL, DB2, and other mainframe technologies
  • Understanding legacy systems and their role in modern IT environments

• DevOps Fundamentals:

  • Key principles of DevOps: collaboration, automation, CI/CD
  • Overview of the software development lifecycle (SDLC)
  • Benefits of adopting DevOps practices

• DevOps on the Mainframe:

  • How DevOps applies to mainframe environments
  • Differences between mainframe and distributed systems in DevOps context
  • Key challenges and solutions when adopting DevOps on the mainframe

• CI/CD Tools for Mainframes:

  • Introduction to popular DevOps tools (Jenkins, Git, Ansible, etc.) for mainframes
  • Automating builds and deployments in the mainframe world
  • Source control with Git for mainframe code
  • Automated testing of mainframe applications

• Automation and Scripting:

  • Using tools like Jenkins to automate mainframe code compilation and deployment
  • Introduction to mainframe scripting languages such as REXX, JCL (Job Control Language), and Python
  • Automating traditional processes (batch jobs, monitoring, backups)

• Collaboration and Communication:

  • Implementing cross-team collaboration between mainframe and non-mainframe teams
  • Agile methodologies in mainframe DevOps
  • Communicating mainframe changes and updates across the organization

• Monitoring and Performance:

  • Tools for monitoring and tracking mainframe system health
  • Real-time performance metrics and log aggregation
  • Improving performance in the DevOps pipeline for mainframe systems

• Security and Compliance:

  • Integrating security best practices (DevSecOps) with mainframe systems
  • Ensuring compliance in the DevOps lifecycle for regulated industries
  • Managing vulnerabilities and patching strategies for mainframes

• Mainframe DevOps Case Studies and Real-World Applications:

  • Examples of companies successfully integrating DevOps with mainframe operations
  • Best practices, pitfalls, and lessons learned

• Advanced Topics:

  • Containerization and virtualization on the mainframe
  • DevOps for hybrid environments (mainframe + cloud + distributed systems)
  • Optimizing resource usage for DevOps workflows on mainframes