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What is FinOps? How to keep cloud spend in check

Dynatrace

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. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies.

Cloud 201
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Rust and Sustainability: Programming for a Greener Future

DZone

This article will delve into Rust's potential for a sustainable future, the hurdles to its adoption, and strategies for a successful transition to Rust. This lack of overhead reduces the computational power and energy needed to run applications, promoting efficiency. Why Choose Rust for Sustainability?

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

Dynatrace

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252
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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies. The rapid pace and scale of innovation in the cloud create the need for a unified observability and security strategy.

Azure 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

But energy consumption isn’t limited to training models—their usage contributes significantly more. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.

Cache 209
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

As part of our observability engineering strategy, we want that data as well and to make sure it gets sent to Dynatrace. Kubernetes-based efficient power level exporter (Kepler) is a Prometheus exporter that uses ML models to estimate the energy consumption of Kubernetes pods. Labels we don’t need.

Metrics 182