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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. ETL workflows), as well as downstream (e.g.

Systems 226
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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here.

Traffic 342
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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Most infrastructure and applications generate logs. How log management systems optimize performance and security.

Systems 183
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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

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What is application security monitoring?

Dynatrace

Application security monitoring is the practice of monitoring and analyzing applications or software systems to detect vulnerabilities, identify threats, and mitigate attacks. Forensics focuses on the systemic investigation and analysis of digital evidence to determine root causes.

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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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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Scale automatically based on the demand and traffic patterns. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.