Containers at Netflx - An Evolving Story

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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1Rz8Uys. Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software. Filmed at qconsf.com. Sangeeta Narayanan leads the Edge Infrastructure & Delivery team at Netflix. Among other things, her team develops the infrastructure that enables the Netflix API service to be updated on-demand, without adversely impacting the user experience for millions of customers worldwide. Sangeeta has held different roles at various software companies, large and small.

Logiciels Technologie

Containers at Netﬂix - An
Evolving Story
Sangeeta Narayanan
Engineering Manager @Netﬂix
@sangeetan

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Going Global
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Jan
Apr
Jul
O
ct
2015
A/B Tests
New features

Jan
Apr
Jul
O
ct
2015
A/B Tests
New features
Device Launches

New Considerations
Diversity - Users, Tech stacks, Workloads
Dev Ex - Dev iterations, Debugging, Packaging
Rapid Delivery
Resource Sharing

Dev-centric packaging &
reproducibility
Infrastructure abstraction
Faster dev iterations
Resource sharing
Why Docker?

Docker @Netﬂix - Use Cases
Algorithms Engineering
Data Pipeline
Edge Engineering

Algorithms Engineering
R&D of algorithmic components for product

Precompute
Online
Services
Model Trainer
New data available

Infrastructure abstraction
Polyglot support & Local Dev Ex
Dynamic resource allocation &
distributed job scheduling
Requirements

Model Trainer Online
Services
Precompute
New data available
Distributed scheduler
+

Distributed Scheduling & Task Management
Model Trainer Spinnaker Other Apps
Fenzo

Infrastructure abstraction
Polyglot + Local Dev
Distributed Scheduling
Num of Containers

Data Pipeline
Publish, Collect, Process, Move Data

Local Dev Ex
Infrastructure abstraction
Fine-grained resource management
Requirements

Infrastructure abstraction
Local Dev Ex
Fine grained resource Management
Num of Containers

Edge Engineering
Entry point to Netﬂix for all device trafﬁc

Infrastructure abstraction
Local dev, Polyglot - Java, Groovy,
Node.js
Fine-grained resource
management
Requirements

Ops Tooling
Networking, IPC
Security
Insights
Failure Testing
Performance
And more…
Requirements++
Long running Services
vs.
Batch Jobs

Local Dev
Test/
Debug
Open PR
CI
Build/Test
AMI
Bakery
Deploy
Spinnaker
Dist Job
Sched

Gradle docker plugin to generate Dockerﬁle
Spinnaker CloudProvider provides abstraction
Bakery support for image generation
Docker registry for internal images
libnetwork plugin for addressable IP
Building out the pieces

Dev Ex Wins
Faster dev iterations
Run prod image locally; attach debugger
Multiple branch/conﬁg variations
Hot reloading of ﬁles
‘Roman Riding’ with AMIs

‘PaaS-like' Dev Experience
Production scale/Operational readiness
Optimized resource utilization

Infrastructure Abstraction
Dev Ex
Production ready Online Services
Polyglot env, Packaging

The Netﬂix Algorithms Engineering & Data Pipeline
teams
Acknowledgements
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1. Containers at Netﬂix - An Evolving Story Sangeeta Narayanan Engineering Manager @Netﬂix @sangeetan

2. InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations /netflix-containers

3. Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide Presented at QCon San Francisco www.qconsf.com

5. Going Global Recent Launches: Italy, Spain, Portugal Early 2016: Korea, Hong Kong, Taiwan, Singapore

6. Growing BIGGER

7. Winning Moments of Truth

9. Getting BETTER

10. Jan Apr Jul O ct 2015

11. Jan Apr Jul O ct 2015

12. Jan Apr Jul O ct 2015 A/B Tests New features

13. Jan Apr Jul O ct 2015 A/B Tests New features Device Launches

14. Going FASTER

15.

16.

17.

18. Cloud Native Architecture

19. Automation & Tooling

20. Culture

21. New Considerations Diversity - Users, Tech stacks, Workloads Dev Ex - Dev iterations, Debugging, Packaging Rapid Delivery Resource Sharing

22.

23.

24.

25.

26. Dev-centric packaging & reproducibility Infrastructure abstraction Faster dev iterations Resource sharing Why Docker?

27.

28. Docker @Netﬂix - Use Cases Algorithms Engineering Data Pipeline Edge Engineering

29. Docker @Netﬂix - Use Cases Algorithms Engineering Data Pipeline Edge Engineering

30. Algorithms Engineering R&D of algorithmic components for product

31.

32. Precompute Online Services Model Trainer New data available

33. Infrastructure abstraction Polyglot support & Local Dev Ex Dynamic resource allocation & distributed job scheduling Requirements

34. Model Trainer Online Services Precompute New data available Distributed scheduler +

35. Distributed Scheduling & Task Management Model Trainer Spinnaker Other Apps Fenzo

36. Infrastructure abstraction Polyglot + Local Dev Distributed Scheduling Num of Containers

37. Docker @Netﬂix - Use Cases Algorithms Engineering Data Pipeline Edge Engineering

38. Data Pipeline Publish, Collect, Process, Move Data

39.

40.

41. Local Dev Ex Infrastructure abstraction Fine-grained resource management Requirements

42. Job

43. Infrastructure abstraction Local Dev Ex Fine grained resource Management Num of Containers

44. Docker @Netﬂix - Use Cases Algorithms Engineering Data Pipeline Edge Engineering

45. Edge Engineering Entry point to Netﬂix for all device trafﬁc

46. Automation & Tools

47. Automation & Tools Node.js Html, JS

48. Infrastructure abstraction Local dev, Polyglot - Java, Groovy, Node.js Fine-grained resource management Requirements

49. Ops Tooling Networking, IPC Security Insights Failure Testing Performance And more… Requirements++ Long running Services vs. Batch Jobs

50. Ops Tooling Networking, IPC Security Insights Failure Testing Performance And more… Requirements++ Long running Services vs. Batch Jobs

51.

52. Local Dev Test/ Debug Open PR CI Build/Test AMI Bakery Deploy Spinnaker Dist Job Sched

53.

54.

55.

56. Gradle docker plugin to generate Dockerﬁle Spinnaker CloudProvider provides abstraction Bakery support for image generation Docker registry for internal images libnetwork plugin for addressable IP Building out the pieces

57. Dev Ex Wins Faster dev iterations Run prod image locally; attach debugger Multiple branch/conﬁg variations Hot reloading of ﬁles ‘Roman Riding’ with AMIs

58. ONNot There Yet!

59. ‘PaaS-like' Dev Experience Production scale/Operational readiness Optimized resource utilization

60. Infrastructure Abstraction Dev Ex Production ready Online Services Polyglot env, Packaging

61.

62. Thank You @sangeetan

63. The Netﬂix Algorithms Engineering & Data Pipeline teams Acknowledgements Photo Creditshttps://goo.gl/sP5T4X https://goo.gl/JaNlyf https://goo.gl/rZXws1 http://goo.gl/V4UFmR https://goo.gl/R08GPQ http://tastyk.deviantart.com/art/Evolution-149719618 https://goo.gl/W2UKv0 https://goo.gl/fRcpPN https://goo.gl/tF199H https://goo.gl/K1OH9T wildﬂowers https://goo.gl/KSaL5s roadmap https://goo.gl/8JCDQy odometer https://goo.gl/c4RuSR takeaway box

64. Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations/netflix- containers

Containers at Netflx - An Evolving Story

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