This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
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.
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
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
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
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.
We love the idea of having a lean, shared set of metrics that we can all rally around – not to mention having a broader conversation about web performance that includes teams throughout an organization. We’ve had some time to evaluate and explore these metrics, and we're committed to transparently discussing their pros and cons.
Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.
Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.
Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.
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.
For example, an e-commerce company can use real-time data on website traffic and customer behaviors to adjust pricing or launch targeted promotions during peak shopping periods. As a result, they’re able to respond swiftly to changing market conditions, customer needs, and operational challenges.
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.
MLB Advanced Media (MLBAM) is a digital media and content infrastructure provider that powers an ever-growing number of massively popular media and entertainment properties. Infor is a business application provider with more than 90,000 customers and 58 million cloud users.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content