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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Taking training sessions online this year lets us provide more instructor-led sessions over more days and times than ever before. So where do you start?

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0

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Cloud cost optimization: Dynatrace helps organizations manage cloud cost

Dynatrace

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Every dollar we spend on cloud [infrastructure] is a dollar less we can spend on innovation and customer experience,” said Matthias Dollentz-Scharer, Dynatrace chief customer officer.

Cloud 209
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The top eight DevSecOps trends in 2022

Dynatrace

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

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

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. What is generative AI? Learn its benefits—and challenges—and how to tame it.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 221
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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions. This adoption will further impact carbon emissions.

Energy 233