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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 204
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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 222
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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. Bernd Greifeneder, Dynatrace founder and CTO, acknowledged in his opening remarks at Dynatrace Perform 2024 that even his team suffers from tool sprawl. We can’t risk the stability or performance of the services.”

Cloud 210
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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs. Cost and resource efficiency One of Kubernetes’ main advantages is its efficient use of resources.

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

Dynatrace

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 233
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.