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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

billion by 2027 at a CAGR of 21.1%, you can't afford just to tread water. As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant.

DevOps 310
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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Journey to AI blog

According to a Gartner report (link resides outside ibm.com), worldwide end-user spending on public cloud spending is forecasted to total $679 billion and is projected to exceed $1 trillion in 2027. Microservices have become crucial for DevOps methodologies. Protect confidential or sensitive data on private cloud infrastructure.

DevOps 299
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IBM and Microsoft partnership accelerates sustainable cloud modernization

IBM Journey to AI blog

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services. IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app.

DevOps 234
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The history of Kubernetes

IBM Journey to AI blog

The CNCF’s flagship global conference, KubeCon + CloudNativeCon (link resides outside ibm.com), attracts thousands of attendees and provides an annual forum for developers’ and users’ information and insights on Kubernetes and other DevOps trends.

DevOps 308
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Archana Joshi, Head – Strategy (BFS and EnterpriseAI), LTIMindtree – Interview Series

Unite.AI

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. This has the potential to achieve 35-50% efficiency in productivity across the Agile-DevOps cycle for an enterprise.

DevOps 147
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Foundational Models and Compute Trends

Bugra Akyildiz

Export controls denying access to latest hardware can create a growing capability gap, with a 10x cost penalty by 2027 for using older chips. MLRun breaks the silos between data, ML, software, and DevOps/MLOps teams, enabling collaboration and fast continuous improvements.

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8 steps to build a successful multicloud strategy

IBM Journey to AI blog

Microservices support DevOps methodologies by speeding the development and deployment of software. trillion in 2027. The modern hybrid multicloud ecosystem enables cloud-native application development (e.g., microservices, or microservices architecture ) and uses an open-source container orchestration platform (e.g.,