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Contact usEnterprise DevOps enables organizations to scale DevOps practices across teams, tools, and environments for faster, more reliable software delivery. It combines automation, AI-assisted development, continuous integration and delivery (CI/CD), DevSecOps, and modern developer experiences to improve collaboration and accelerate innovation across mainframe, cloud, and distributed environments.
The Autonomous Digital Enterprise is the framework for the successful future enterprise. It’s a digital-first business with distinct tech tenets and operating model characteristics that support transformation through actionable insights, business agility, and customer centricity. Enterprise DevOps is one of five tech tenets that galvanize and sustain the Autonomous Digital Enterprise.
Many organizations achieve DevOps success within individual teams but struggle to scale those practices consistently across the enterprise. Research from the State of Platform Engineering Report highlights the role of platform engineering in helping organizations advance DevOps at scale.
Common challenges include:
Siloed teams and limited collaboration
Multiple handoffs that slow development and deployment
Legacy architectures that are difficult to integrate with modern DevOps practices
Manual workflows that limit speed and consistency
Disconnected experiences across mainframe, cloud, and distributed environments
Inconsistent security, compliance, and governance processes
Limited visibility into software delivery performance and bottlenecks
When applied comprehensively, DevOps principles can accelerate software delivery through end-to-end automation, frequent releases, and collaboration across the business. Enterprise DevOps combines continuous improvement, cultural and behavioral change, and technologies such as artificial intelligence (AI), machine learning, and automation to help organizations:
Identify processes and bottlenecks across software delivery workflows
Automate and streamline compliance and governance
Reduce friction across development and operations workflows
Improve areas such as project planning, architecture alignment, and service management
Gain faster feedback from crash and failure monitoring
Use metrics, controls, and policies to automate scanning, testing, and reporting
BMC AMI DevX brings modern mainframe DevOps tools, AI-powered capabilities, automation, and actionable insights together to improve developer experience and accelerate software delivery.
BMC AMI DevX Code Pipeline advances mainframe DevOps by automating build and deployment processes and connecting z/OS development with Git and enterprise CI/CD toolchains for faster, governed software delivery.
BMC AMI DevX Total Test integrates automated testing into DevOps workflows to validate changes earlier, reduce defects, and accelerate delivery with continuous testing across the development lifecycle.
White paper
Understand the technical foundation that makes AI-augmented mainframe modernization possible without sacrificing control, security, or application integrity.
Analyst report
See the quantified ROI of BMC AMI DevX including developer velocity gains, quality improvements, and workforce benefits across a composite $10B enterprise.
Datasheet
How Code Pipeline extends CI/CD to z/OS with Git integration, automated build and deploy, and SBOM generation in every build.