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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
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

which is difficult when troubleshooting distributed systems. 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. Investigating a video streaming failure consists of inspecting all aspects of a member account.

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Dynatrace delivers flexible and scalable Kubernetes native synthetic private locations

Dynatrace

Global corporations with offices in multiple countries need to ensure that their internal systems are accessible to all employees, regardless of their location. A prominent solution is virtual machines, however, this is inadequate for customers who deploy their systems with Kubernetes.

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What is function as a service? App development gets FaaS and furious

Dynatrace

Effective application development requires speed and specificity. Applications must work as intended and make their way through development pipelines as quickly as possible. FaaS enables enterprises to deliver on the evolving expectations of fast and furious app development. But what is FaaS? What is FaaS?

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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Enhancing Resiliency: Implementing the Circuit Breaker Pattern for Strong Serverless Architecture on AWS

DZone

Serverless architecture is a way of building and running applications without the need to manage infrastructure. Scalability: Serverless services automatically scale with the application's needs. Reduced operational overhead: Developers can focus purely on writing code and pushing updates, rather than worrying about server upkeep.