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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.

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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Data Models.

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. We don’t allow incompatible changes, for example, users can not change the data type of a property.

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

What is CDN Architecture?‍CDN CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs. The two fundamentals of a CDN architecture revolve around distribution and capacity. Here are a few examples.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. A visual example is shown below.

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