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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. ETL workflows), as well as downstream (e.g.

Systems 226
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Presentation: Maximizing Performance and Efficiency in Financial Trading Systems through Vertical Scalability and Effective Testing

InfoQ

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 189
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Efficient Message Distribution Using AWS SNS Fanout

DZone

In the world of cloud computing and event-driven applications, efficiency and flexibility are absolute necessities. A smooth flow of messages in an event-driven application is the key to its performance and efficiency. A critical component of such an application is message distribution.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

This year, Google’s event will take place from April 9 to 11 in Las Vegas. As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Learn to boost system reliability through proactive issue detection.

Google 266
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Navigating the Maze: A Comprehensive Guide To Selecting the Right Messaging Queue

DZone

In the vibrant world of microservices and event-driven architectures, messaging queues have emerged as a critical component, enabling asynchronous communication, decoupling systems, and unlocking scalability. However, with a vibrant landscape of options, choosing the optimal queue can feel like navigating a complex maze.

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How TripleLift Built an Adtech Data Pipeline Processing Billions of Events Per Day

High Scalability

What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. Why did you decide to build this system?