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Distributed Systems Engineer
Playback Data Systems
https://jobs.netflix.com/jobs/861178
Ketan Duvedi
Netflix
The world’s leading Internet TV network
190+ countries86+ million
members
1500+ devices
supported
125 million
hours / day
High scale
Big Global Opportunity
Global broadband households continue to grow
Innovative Culture
Values are what we value
High Performance
Freedom & Responsibility
Context, not Control
Highly Aligned, Loosely Coupled
Pay top of market
Promotions & Development
http://www.slideshare.net/reed2001/culture-1798664
Team Focus
Build and Operate server side infrastructure
to collect, process, and provide high quality
data about Netflix playback experiences.
Data Collection
Viewing Data
Playback events Player QoE Errors
Ingest > 500K events/sec
Data Collection
Device Attributes
Firmware, SDK, UI State changes
Ingest ~ 50K events/sec
Data Processing
Sessionize
Sanitize
Synthesize
Summarize
Data Processing - High Volume @
Low Latency
PDS owns 4 of Top 5 Cassandra Clusters at Netflix
Data Providing
What you’ve watched
Where you’re at
Real time Operational
Insights
Data Providing
Data feeds
● Events and summaries
● Large number of consumers
Personalized
Recommendations
DevOps Culture
Insights into our systems enables
Operational Excellence
You Build It, You Run It
Technology Stack
Big Opportunities
Global Scale
Improve the microservices
architecture to ensure linear
scalability at sublinear cost.
Data quality
Deliver high quality data despite
diversity of quality in input events.
Use data to deliver business
functionality
Flexible Processing
Build platform to enable partners to
quickly explore new data
transformations and views.
For more info...
Details of the team’s work and approaches:
● How Netflix knows where you are in House of
Cards
● Viewing History System Evolution
Interested?
https://jobs.netflix.com/jobs/861178
Ketan Duvedi

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Playback data systems

Hinweis der Redaktion

  1. Background image from https://www.flickr.com/photos/theholyllama/4143228359/, no changes made, https://creativecommons.org/licenses/by-sa/2.0/
  2. Data for North America, Fixed Access networks, from Sandvine’s biannual reports.
  3. Image from https://www.flickr.com/photos/ericsbardo/3757385525/, no changes made, https://creativecommons.org/licenses/by-sa/2.0/
  4. The team acts as the “data edge” for playback-oriented interactions.
  5. How much was watched What was the quality What’s changing on the device over time
  6. How much was watched What was the quality What’s changing on the device over time
  7. Sessionize Sanitize / clean Synthesize Summarize Aggregate
  8. Through approaches like containerized stream processing rather than existing solutions that are skewed towards batch processing.
  9. Apply at https://jobs.netflix.com/jobs/861178 or contact us at kduvedi@netflix.com or mneider@netflix.com