Remove Engineering Remove Latency Remove Mobile Remove Traffic
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

We migrated Netflix’s mobile apps to GraphQL with zero downtime, which involved a total overhaul from the client to the API layer. Until recently, an internal API framework, Falcor , powered our mobile apps. By the summer of 2020, many UI engineers were ready to move to GraphQL.

Traffic 353
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Latency vs. Throughput: Navigating the Digital Highway

VoltDB

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. Mobile retail e-commerce spending in the U. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services.

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Rapid Event Notification System at Netflix

The Netflix TechBlog

Providing a seamless and consistent Netflix experience across various platforms (iOS, Android, smart TVs, Roku, Amazon FireStick, web browser) and various device types (mobile phones, tablets, televisions, computers, set top boxes) requires more than the traditional request-response model.

Systems 334
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

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SLOs done right: how DevOps teams can build better service-level objectives

Dynatrace

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation.

DevOps 203
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Lessons learned from enterprise service-level objective management

Dynatrace

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). For example, the mobile device talked to an API gateway, and that team was not responsible for all the details of the back-end systems. The “Four Golden Signals” include the following: Latency. Saturation.