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

Dynatrace

If malware, data corruption, or another security breach occurs, ITOps teams work with security teams to identify, isolate, and remediate affected systems to minimize damage and data loss. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. ITOps vs. AIOps. ” The post What is ITOps?

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What is IT automation?

Dynatrace

IT automation, DevOps, and DevSecOps go together. DevOps and DevSecOps methodologies are often associated with automating IT processes because they have standardized procedures that organizations should apply consistently across teams and organizations. Big data automation tools. Batch process automation.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

– Performance engineering as it done at Alibaba – which emerging as a major cloud provider. How is DevOps changing the Modern Software Development Landscape? , – Clearly a hot topic – and the most interesting point here would be how it is changing performance engineering. a Panel Discussion.

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Top Benefits of Data-Driven Test Automation

Testsigma

If there is any update required either in test scripts or test data, it is hassle-free because both test data and test scripts are placed separately with no dependency on each other. Due to the faster speed of automation and quick execution of a broader data set, the management and defect-related decisions could be concluded faster.

Testing 63
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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. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. The four stages of data processing.

DevOps 195
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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