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Taming the tail utilization of ads inference at Meta scale

Engineering at Meta

Tail utilization is a significant system issue and a major factor in overload-related failures and low compute utilization. The tail utilization optimizations at Meta have had a profound impact on model serving capacity footprint and reliability. Why is tail utilization a problem?

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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores. Tech stack.

Cloud 278
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Binary Search Algorithm with Example Code

Knowledge Hut

In this post, the Binary Search Algorithm will be covered. We'll talk about the Binary Search Algorithm here. Therefore, we must ensure that the list is sorted before utilizing the binary search strategy to find an element. A quick search algorithm with run- time complexity of O is a binary search. will be covered.

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Grid Modernization with AI for More Connected Utilities

RandomTrees

Considering how most industries have rapidly evolved thanks to technology, upgrading grids has been of utmost importance for utility companies out there. The application of Artificial Intelligence (AI) technology into grid structures is now a game changer for utility managers.

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Enhancing Distributed System Load Shedding with TCP Congestion Control Algorithm

Zalando Engineering

This algorithm reacts to the reduced service capacity. The AIMD algorithm also adapts increased capacity after scaling the system. Most importantly, the algorithm requires a local variable only, which avoids central coordination like a shared database. This is the class that implements the AIMD algorithm.

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An educational side project

The Pragmatic Engineer

I decided to get better at algorithms and data structures a few months ago, and this project complemented it nicely. Hardcoding secrets in production is poor practice. We covered how Stack Overflow learned this the hard way, a few months back. For example, I implemented the map and its associated methods (e.g. path-finding) from scratch.

Education 363
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Optimizing Demand Forecasting in the Utility Industry with GenAI

RandomTrees

In the utility sector, demand forecasting is crucial for customer satisfaction with energy services, ensuring the efficiency of operations and using the funds in a correct manner. This article explains the phenomena of GenAi in utilities: how it improves the processes of energy forecasting, operations, and decision-making.