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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. If you’re running your own data center, you can start powering it with green energy purchased through your utility company.

Cloud 209
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Why growing AI adoption requires an AI observability strategy

Dynatrace

Because AI observability monitors resource utilization during all phases of AI operations—from model training and inference to tracking model performance—it enables organizations to best balance between accuracy and resource efficiency and to optimize operational costs. Continuously monitor AI models’ performance.

Strategy 222
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. This practice isn’t just about reducing costs. What is FinOps?

Cloud 195
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

Cloud migration and digital transformation resources Check out the following resources for details about cloud migration and digital transformation best practices. A modern observability platform enables teams to gain the benefits of cloud infrastructure while retaining visibility. What is cloud application security?

AWS 209
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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This session revisits the pillar and its best practices. AWS speaker: T. You must bring your laptop to participate.

AWS 52
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Emerging Fault Modes: Challenges and Research Opportunities

ACM Sigarch

One such challenge has been the emergence of marginal defect-driven faults that are difficult to address solely using best practices in manufacturing test and screening. We then discuss defects observed, the role of test and design to address this problem, and identify research opportunities.

Energy 52
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

As organizations adopt large language models and generative AI technologies to accelerate efficiency, they introduce yet another dimension of complexity—including security and energy consumption concerns—that needs monitoring. However, edge observability can be challenging due to distribution, resource limits, and security issues.