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Globalizing Productions with Netflix’s Media Production Suite

The Netflix TechBlog

The opportunity is clear: streamline complex media management logistics, eliminate tedious, non-creative task-based work and enable productions to focus on what matters mostcreative storytelling. Significant time and resources are devoted to managing media logistics throughout the production lifecycle. What are we solvingfor?

Media 203
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Time-Series Forecasting With Recurrent Neural Networks

DZone

Time-series forecasting is essential in various domains, such as finance, healthcare, and logistics. This is where Recurrent Neural Networks (RNNs) offer an edge, providing a powerful tool for modeling complex time-dependent phenomena.

Network 173
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Designing Instagram

High Scalability

It’s apparent that the most important features for feed ranking will be related to social network. Some of the keys of understanding the user network are listed below. We can use deep neural networks which would take the several features (> 100K dense features) which we require for training the model. References.

Design 334
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How Amazon is solving big-data challenges with data lakes

All Things Distributed

That's why, in 2019, they had an idea: Build a data lake that can support one of the largest logistics networks on the planet. The team is constantly looking for ways to get more accurate data, faster. It would later become known internally as the Galaxy data lake.

Big Data 192
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What are microservices? An agile architecture for software development

Dynatrace

Simple network calls. The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Complexity.

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What are microservices? An agile architecture for software development

Dynatrace

Simple network calls. The learning curve and logistics for initial setup can be a challenge as configuring images and containers can be tricky when starting from zero. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Complexity.

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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles.

IoT 52