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How Can a DevOps Team Take Advantage of Artificial Intelligence?

Analytics Vidhya

DevOps and artificial intelligence are covalently linked, with the latter being driven by business needs and enabling high-quality software, while the former improves system functionality as a whole. The DevOps team can use artificial intelligence in testing, developing, monitoring, enhancing, and releasing the system.

DevOps 306
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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

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. How does DevOps expedite AI? How will DevOps culture boost AI performance?

DevOps 310
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10 Ways Artificial Intelligence is Shaping Secure App Development

Unite.AI

Artificial Intelligence has revolutionized various industries, including app development. Automated Code Review and Analysis AI can review and analyze code for potential vulnerabilities. AI recommends safer libraries, DevOps methods, and a lot more.

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.

Big Data 266
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Top 6 Kubernetes use cases

IBM Journey to AI blog

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

DevOps 323
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Shift from proactive to predictive monitoring: Predicting the future through observability

IBM Journey to AI blog

Automatic and continuous discovery of application components One of Instana’s key advantages is its fully automated and continuous discovery of application components. AI-driven root cause analysis Instana leverages artificial intelligence (AI) and machine learning algorithms to provide accurate and intelligent root cause analysis.

DevOps 287
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Top 25 AI Tools for Software Development in 2025

Marktechpost

The role of artificial intelligence (AI) in reshaping the business landscape is undeniable. AI-powered tools have become indispensable for automating tasks, boosting productivity, and improving decision-making. It automates code documentation and integrates seamlessly with AWS services, simplifying deployment processes.