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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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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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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags.

Metrics 189
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

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CDN Security Risk: Key Awareness and Mitigation Strategies

IO River

For example, they can use the TLS certificate to appear as a trustworthy website, while actually redirecting them to a phishing siteMulti-Tenancy - Multiple content providers are frequently hosted within the same file on CDN infrastructure due to the CDNs' capacity to store a vast number of files.

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What is a Distributed Storage System

Scalegrid

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

Storage 130
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How Netflix microservices tackle dataset pub-sub

The Netflix TechBlog

Without infrastructure-level support, every team ends up building their own point solution to varying degrees of success. Often the data is held in memory by consumers and used as a “total cache”, where it is accessed at runtime by client code and atomically swapped out under the hood. This deletes the underlying data as well (e.g.

Cache 187