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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Another hurdle is mistaking easy patterns as effective analysis, according to an article in the Harvard Data Science Review.

Analytics 212
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes.

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AIOps strategy central to proactive multicloud management

Dynatrace

This article includes key takeaways on AIOps strategy: Manual, error-prone approaches have made it nearly impossible for organizations to keep pace with the complexity of modern, multicloud environments. Traditional cloud monitoring tools haven’t solved the challenge with their bolt-on correlation and machine-learning approaches.

Strategy 225
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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. The cloud now has a greater carbon footprint than the airline industry,” wrote anthropologist Steven Gonzalez Monserrate in a 2022 article from MIT. “A

Energy 236
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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms.

Cloud 130
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? Our product leadership at Dynatrace saw the coming of this cloud-native era and the challenges it would bring to organizations , s o they made the decision to? Cloud-native?

Google 132