article thumbnail

Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279
article thumbnail

Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Wednesday?—?December

AWS 100
article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Wednesday?—?December

AWS 100
article thumbnail

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. The back-end auto-scales the number of instances used to back your service based on traffic.

Systems 226
article thumbnail

Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Growth Advertising At Netflix, we want to entertain the world ! A Type-M error occurs when, given that we observe a statistically-significant result, the size of the estimated metric movement is magnified (or exaggerated) relative to the truth. We don’t have unlimited traffic or time, so sometimes we have to make hard choices.

article thumbnail

Why Traditional Monitoring Isn’t Enough for Modern Web Applications

Dotcom-Montior

Users who rely on the websites for their fundamental needs or entertainment will not tolerate even a few seconds delay. There are certain metrics to be considered for a user to have a hassle-free experience. It’s very common for a website to have an increase in traffic after a marketing campaign. Connection time.