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Rapid Event Notification System at Netflix

Netflix Tech

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

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SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events

Lyft Engineering

However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events. In the context of this article we mean any tool that creates traffic to stress test systems and see how they perform at the limits of their capacity.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Did Automattic commit open source theft?

The Pragmatic Engineer

And yet, substitute Apple with Automattic, App Store with WordPress.org and Spotify with one of the most popular WordPress plugins: and Automattic’s CEO is accused of orchestrating events similar to above. This event is shameful and unprecedented in the history of open source on the web. Open source theft? Source: X What next?

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

While not every company needs to process millions of events per second, understanding these advanced architectures helps us make better decisions about our own data infrastructure, whether we’re handling user recommendations, ride-sharing logistics, or simply figuring out which meeting rooms are actually being used.

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How Systems Thinking Can Be Applied To Agile Transformations

Knowledge Hut

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

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.

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