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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations.

AWS 298
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources. This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models.

Tuning 200
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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience. Media Search Platform (MSP) is the initiative to address these requirements.

Media 299
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The response schema for the observability endpoint.

Traffic 180
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. So stay tuned. The idea was inspired by an innovation day project of our lab in Klagenfurt. Goal: sending metrics to Dynatrace.

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context. Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse.

Analytics 246