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BAKE

DEPLOY

Continuous Delivery at Netflix: From
Code to the Monkeys
Dianne Marsh
QCon San Francisco, November 2013
http://www.linkedin.com/in/diannemarsh
BUILD

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DEPLOY
Netflix Goals
High Availability
But … Move fast

Tools encourage Best Practices
But … Freedom to do the right thing
Teams Deploy Their Own Code
Run What You Wrote
 Rapid Innovation
 Rapid Detection
 Rapid Response
= Freedom + Responsibility

http://www.slideshare.net/garethbowles/self-servicebuilddeploymentagile2013
BUILD

Jenkins Job DSL
Configuration as Code
Groovy Script
Scripts go in Version Control

http://www.slideshare.net/quidryan/configuration-as-code
BUILD

BAKE
BAKE

Aminator
• Create AMI from Base AMI
• Image contains service and
everything needed to run it
• Unit of Deployment for Test and
Prod
• Abstracts Cloud Details

http://techblog.netflix.com/2013/03/ami-creation-with-aminator.html
BUILD

BAKE

DEPLOY
DEPLOY

Asgard: AWS Deployment
Tool
Deploys Netflix to the Cloud
Red/Black push

http://www.infoq.com/presentations/asgard
CANARY ANALYSIS

Test, Int, Prod
Choose where to deploy
Run canary analysis
Scale up new instances
Turn on traffic to new ASG
Turn off traffic to old ASG
Wait … analyze … continue
Asgard Developer Portal
GLISTEN

Extending Asgard’s Workflow
Automated Red/Black Push
Test, Int, Prod stacks
Run canary/analysis
Scale up new instances
Turn on traffic to new ASG
Run more tests
Turn off traffic to old ASG
Wait … analyze … continue
http://techblog.netflix.com/2013/09/glisten-groovy-way-to-use-amazons.html
BUILD

BAKE

DEPLOY
Simian Army
•
•
•
•
•

Chaos Monkey
Latency Monkey
Janitor Monkey
Conformity Monkey
(and more!)

Test resiliency at runtime

http://www.infoq.com/presentations/netflix-resiliency-failure-cloud
One Button Deployment?
Regional Isolation
Limit Impact of Human
Error
 Stagger deployments
 Canary testing per
region
Multi-Region Consistency
Build Tooling to:
 Schedule
Deployments
 Prefer off peak
 Choose next available
region automatically
 Provide high visibility
per region
Send in the Conformity Monkey

Have deployments diverged?
 Balance regional consistency
with regional isolation
 Provide meaningful
thresholds
 Build best practices into
tooling and reporting
http://techblog.netflix.com/2013/05/conformity-monkey-keeping-yourcloud.html
Clean up with Janitor Monkey
 Disassociate unused EIPs

 Delete unassociated Amazon
EBS volumes
 Delete older Amazon EBS
snapshots
 Leverage Amazon S3 Object
Expiration
https://github.com/Netflix/SimianArmy/wiki/Janitor-Home
Key Elements for Netflix
 Value Self-service
 Test Everywhere

 Build Awareness of Multiple Regions
 Avoid peak times
 Roll back quickly and easily
 Be Cloud Native
Put NetflixOSS to Work for You
Netflix Platform

AMINATOR

** And 30+ more projects at http://netflix.github.io/
Keep the Conversation Going

Continuous Delivery
Open Space
Ballroom B/C (here!)
1:35-2:25, immediately
following lunch
Thanks!

We’re always hiring!
Dianne Marsh (@dmarsh)
dmarsh@netflix.com

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From Code to the Monkeys: Continuous Delivery at Netflix

Notas del editor

  1. Overview. Build, Bake, and DeployTesting.Monkeys: resilient to behaviors inherent in the cloudLeave with understanding of tools that we’ve built and open source.How you might be able to modify, augment or create
  2. Innovate quicklythink outside of the box deploy solutions.Keep promise of availabilityEncourage best practicesrecommendations, not limitations.
  3. Deploy to ProductionBalance innovation with riskSelf-service is scalableDon’t fix build configs, deployGareth Bowles, Agile 2013
  4. Teams have unique flows.Let developers write codeJustin RyanJenkins Job DSL- pluginJava Posse Roundupfoundation for our build configurations at Netflix
  5. Amazon Machine Images (AMIs)Aminate: source component is combined with another component to make something new
  6. BaseAMI : common to all of our microservicesDeploy same image to test, prod, all regionsOther cloud platformsNetflixOSS logo
  7. Self-serviceGroovy appRed/BlackGo through example
  8. Don’t replace cluster.Spin up a new one.Canary/ ACA. Find problem or continueCloud native. Use the cloud.
  9.  Scale up.Leave old cluster.Run through peak?Developer knows best
  10. Groovy library that sits on top of SWFClay McCoyStart with a GAllow flow to shineActivity: element of reuse for our deployments. Builds on lessons from manual red/black deployments.
  11. Stop now?Complete picture with runtime resiliencyAutomate all the things
  12. Danger. Chaos ensues. Instances disappear.Latency happens. Litter.Find problems/build resiliencyIntroduce a fewMore ideas, need staff to build them!Look at vulnerabilities
  13. Should we push to everywhere at once?
  14. Multiple regions.Errors sometimes make it to productionLimit impactCost: innovation and speedDriftIncrease cognitive load
  15. scheduled deployments. button push signifies the scheduling not necessarily the actual push. Providing visibility of what is deployed where, tied back to a Jenkins buildreduces that cognitive load.
  16. We can do better. Look across regions:DriftDon’t nag.Use meaningful thresholds.Ask monkeys to help us test our runtimeBalance regional consistency with regional isolation.
  17. Pay for only those instances we needDon’t bother developers with what automation can do better.
  18. Full circleCode checkin to monkeysBalanced priorities
  19. Can you use any of these elements?Share Cloud InfrastructureSolve our business problems!