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Designing Instagram

High Scalability

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design.

Design 334
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 262
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. Extensions 2.0 Extensions 2.0

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What is platform engineering?

Dynatrace

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.

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Why We Built Smart Scaler

DZone

In the rapidly evolving world of cloud computing, managing resource scalability in response to service demand has emerged as a critical challenge. To address this challenge, we developed Smart Scaler, a tool designed to automate infrastructure and application resource scaling.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226