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Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. That’s why we added to Dynatrace AutomationEngine , to run workflows, or use code to automate,” Greifeneder explained.

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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. In order to unleash the innovation organizations need to evolve their SRE approaches. SRE adoption is growing, yet gaps remain. A shift to SRE-driven engineering takes hold.

DevOps 147
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. Despite this risk, organizations face mounting pressure to innovate faster and on a larger scale.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 184
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Design Principles for Mathematical Engineering in Experimentation Platform

The Netflix TechBlog

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. We support data scientists to have freedom to explore research in any new direction.

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Mastering Hybrid Cloud Strategy

Scalegrid

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130