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5G network rollout using DevOps: Myth or reality?

IBM Journey to AI blog

This requires a careful, segregated network deployment process into various “functional layers” of DevOps functionality that, when executed in the correct order, provides a complete automated deployment that aligns closely with the IT DevOps capabilities. appeared first on IBM Blog.

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DevOps Use Cases for AI-Assisted Kubernetes

Flipboard

As indicated in my prior blogs Optimizing Cloud Costs for DevOps With AI-Assisted Kubernetes and Optimizing Cloud Costs for DevOps With AI-Assisted Orchestration, an AI-assisted Kubernetes orchestrator is needed to optimize cloud costs for DevOps, DevSecOps and SRE.

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Mainframe and the cloud? It’s easy with open source

IBM Journey to AI blog

DevOps, open source and the mainframe Open-source software and DevOps share a common philosophy and technical underpinnings. DevOps is a mindset, a culture and a set of technical practices that foster better communication and collaboration across the software lifecycle. The key to this deep relationship? Open-source software.

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How can a DevOps team take advantage of Artificial Intelligence (AI)?

Pickl AI

How can a DevOps team take advantage of Artificial Intelligence (AI)? DevOps is mainly the practice of combining different teams including development and operations teams to make improvements in the software delivery processes. So now, how can a DevOps team take advantage of Artificial Intelligence (AI)?

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The battle of the personas in the world of enterprise applications—how IBM Hybrid Cloud Mesh and Red Hat Services Interconnect unify them

IBM Journey to AI blog

Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps. Typically, DevOps initiates requests, scrutinized by CloudOps, NetOps, SecOps and FinOps teams. However, rising costs due to diverse IT environments led to the emergence of FinOps, focusing on expense monitoring and control.

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Empower your technical staff with hands-on technology training

IBM Journey to AI blog

They upskilled 3,000 software engineers for DevOps and cloud-native technologies. With a co-created custom curriculum that is designed to supplement their standard DevOps and cloud native offerings to ensure the content aligned with the client’s new technology stack.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Journey to AI blog

It identifies the technologies and internal knowledge that an organization has, how suited its culture is to embrace managed services, the experience of its DevOps team, the initiatives it can begin to migrate to cloud and more. A DevOps practice is being developed, bringing together cloud engineers and developer groups.

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