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ILA Evo: Meta’s journey to reimagine fiber optic in-line amplifier sites

Engineering at Meta

Minimizing concrete (avoid cost and time to transport, form, tie rebar, pour, and cure concrete). Todays ILA buildings are often larger, with more efficient HVAC systems. Building system Identify lightweight building designs which can be flat packed for easy, quick shipment and unloaded at the deployment site using a lift gate.

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Unlocking the Power of Geospatial Data for Insights

Snowflake

This example requires you to layer three sets of data: country boundaries, transportation routes and locations (EV chargers in this example), but you could easily substitute the transportation routes and EV charger locations with two other sets of location data in your organization.

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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 90
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How to Build Multi-Agent AI Systems for Your Next AI Project?

ProjectPro

With AI projects becoming more complex—managing autonomous traffic systems, optimizing smart grids, or even coordinating robot teams—traditional single-agent systems struggle to keep pace. This is where multi-agent AI systems step up, offering a solution as innovative as it is essential.

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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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Ready for changes with Hexagonal Architecture

Netflix Tech

We had an interesting challenge on our hands: we needed to build the core of our app from scratch, but we also needed data that existed in many different systems. Outside of the business logic are the Data Sources and the Transport Layer: Data Sources are adapters to different storage implementations.

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A RoCE network for distributed AI training at scale

Engineering at Meta

We opted for RDMA Over Converged Ethernet version 2 (RoCEv2) as the inter-node communication transport for the majority of our AI capacity. This backend fabric utilizes the RoCEv2 protocol, which encapsulates the RDMA service in UDP packets for transport over the network.