Automating the Enterprise One Idea at a Time: IBM + GitLab

3 min read

IBM is expanding its strategic partnership with GitLab to help companies automate work across business users, developers and IT teams. 

IBM is on a mission to help clients automate the enterprise to unlock productivity, speed and cost savings. We already offer automation capabilities that combine AI and machine learning with process mining, robotic process automation (RPA), automated decisions, workflow and document management.  

With GitLab Ultimate for IBM Cloud Paks, a new offering sold by IBM and backed by GitLab and IBM, clients can streamline collaboration to improve productivity and accelerate innovation. In partnership with GitLab, we are integrating GitLab with IBM Cloud Paks and bringing IBM Watson AIOps and DevOps together to make teams more agile and efficient, enhancing IBM DevOps capabilities.

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IBM Cloud Paks + GitLab

IBM DevOps along with Gitlab will provide our customers with the ability to bring automation to the software delivery process for IBM Cloud Paks:

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A new GitLab connector in IBM Cloud Pak for Integration enables GitLab to interact with 100s of popular applications to automate IT processes. For instance, a release request approval in ServiceNow can automatically trigger deployment in GitLab.

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IBM Watson AIOps + GitLab

The IBM Watson AIOps and GitLab integration will automate of the work of site reliability engineers (SREs) by ingesting data and events from GitLab across the software development lifecycle, including code pushes, commits, reviews, tests, deployments and releases. 

Combining this data with operational datasets and applying artificial intelligence (AI) models, IBM Watson AIOps can identify and eliminate risks, reduce incident counts and improve incident response. For example, when responding to an incident, an SRE will be able to quickly identify which services changed, how well they were tested and which developers updated the highest-risk portions of the code base so that they can rapidly find the right people to involve in problem determination and incident response.

The IBM Watson AIOps and GitLab integration will automate of the work of site reliability engineers (SREs) by ingesting data and events from GitLab across the software development lifecycle, including code pushes, commits, reviews, tests, deployments and releases. 

IBM DevOps + GitLab

As clients embark on delivering an idea to the market, they are inundated with choices on DevOps tooling and faced with some common questions:

  • Can I plan and deliver my software product securely and efficiently without any bugs?
  • Can the different teams collaborate with each other efficiently without running into tool boundaries?
  • Am I able to manage my releases and deploy onto multi-architecture platforms?

Answering these questions has often led to a multitude of disjointed tools that clients have to integrate across their toolchain. 

With GitLab Ultimate for IBM Cloud Paks and IBM DevOps, clients can utilize an integrated experience out of the box across the DevOps lifecycle (plan, code, build, test, code, release, deploy, operate and monitor) to deliver applications securely, collaboratively, efficiently and with agility.

System Z + GitLab

GitLab integrates with IBM Linux on Z and RedHat OpenShift to help application developers deploy to more resilient systems. With support for GitLab runner on Z, mainframe clients can embrace modern tooling for their DevOps journey and bring ideas to market faster.

Our clients have diverse toolchains to support the diverse range of use cases, challenges, and goals among them. By partnering with GitLab, we’re helping our clients unify their DevOps and automation experiences as clients automate the enterprise. 

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