DevOps has transformed every stage of the application lifecycle. With standardized tools and processes, you can simplify and accelerate software innovation delivered through a consistent and more productive developer experience. Now, IBM Z® can participate fully in these methodologies with DevOps for IBM Z.
Today, clients are embracing these technologies to:
- Rapidly innovate for new services and accelerate application modernization.
- Deliver consistently through an automated and integrated secure CI/CD pipeline across the enterprise.
- Include IBM Z in their hybrid cloud strategy to optimize workload deployment based on business needs.
Sign-up for a facilitated session to help improve your enterprise software delivery practice, get proven practices and lessons learned and follow up with a recommended roadmap.
Solutions
Quickly analyze IBM z/OS applications to discover data and application dependencies, identify cryptographic exposures and understand the impact of changes.
Use one tool to help adopt faster release cycles by enabling your teams to efficiently manage plans, tasks and project status.
Bring your own IDE to develop, debug and build apps with IDs and problem-determination tools.
Get on-demand access to z/OS in minutes to speed the development and testing of cloud-native applications.
Run app integration testing early in an open, automated test framework to accelerate continuous integration.
Develop and test mainframe apps on cloud instances or on-premises.
Use code-coverage and unit-testing tools for batch, CICS and IMS products as a component of IDz.
A scripted deployment tool that drives z/OS application deployment using Python® and Ansible® that can easily be integrated into a CI/CD pipeline.
Deliver audited, continuous delivery and continuous deployment (CI/CD) process with robust visibility, traceability and auditing capabilities and modern tools.
Enable development and operations automation and unified workflow on z/OS and z/OS software.
Westfield Insurance manages their hybrid transformation efforts using cloud and on-premise DevOps to focus on testing and modernizing the developer experience to become more agile.
BNP Paribas set out to overhaul the software development environment for its enterprise systems to enhance agility and boost efficiency.
A major European financial services needed to preserve the integrity of its existing systems while moving toward a more modern, digital portfolio.
Danske Bank shortened their development cycle to bring IT closer to the business.
Read about how modernizing your mainframe application environments will provide greater business results.
This IBM Redpaper discusses strategies and architectural solutions that can accelerate your mainframe application modernization by leveraging hybrid cloud environments. Specifically, view chapter 5 for information on Modernizing Enterprise DevOps.
Learn about Wazi Deploy which adds an open source-based, scripted application deployment option to the IBM® Developer for z/OS® Enterprise Edition extensive development toolset.
Listen in on discussions with Z DevOps experts on how IBM is embracing open source technologies, making the mainframe more accessible and designing new and better ways of developing and operating for the cloud-native and veteran community.
Explore a value-added early adoption program designed to partner with clients during distinct stages that we believe are necessary for any DevOps transformation.
Join the DevSecOps community to stay abreast of the latest Z trends and topics.
Modernize mainframe applications with state-of-the-art DevOps practices and modern development tools including generative AI.
Integrate IBM Z seamlessly into your hybrid cloud to get the agility and flexibility of cloud with AI-driven insights, security, resiliency and scale of IBM Z systems.
Use machine learning to convert data from every transaction into real-time insights and gain trusted, actionable results quickly without requiring data movement.
Improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe.