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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. ITOps vs. AIOps. ” The post What is ITOps?

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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. Value creation through data.

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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines. Dynatrace news.

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Seven benefits of AIOps to transform your business operations

Dynatrace

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

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Software Testing Trends 2021 – What can we expect?

Testsigma

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020 , we are looking forward to renewed hope. Many changes are rendered through automated testing.