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Gluecon 2013 - NetflixOSS Cloud Native Tutorial Introduction


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Same basic flow as the keynote, but with a lot more detail, and we had a lot more interactive discussion rather than a presentation format. See part 2 for some more specific detail and links to other presentations.

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Gluecon 2013 - NetflixOSS Cloud Native Tutorial Introduction

  1. 1. Introduction:Building Using The NetflixOSSArchitectureMay 2013Adrian Cockcroft@adrianco #netflixcloud @NetflixOSS
  2. 2. Presentation vs. Tutorial• Presentation– Short duration, focused subject– One presenter to many anonymous audience– A few questions at the end• Tutorial– Time to explore in and around the subject– Tutor gets to know the audience– Discussion, rat-holes, “bring out your dead”
  3. 3. Introduction – Who are you?Netflix Open Source Cloud PrizeCloud Native – More detailsNetflixOSS – Cloud Native On-Ramp
  4. 4. Adrian Cockcroft• Director, Architecture for Cloud Systems, Netflix Inc.– Previously Director for Personalization Platform• Distinguished Availability Engineer, eBay Inc. 2004-7– Founding member of eBay Research Labs• Distinguished Engineer, Sun Microsystems Inc. 1988-2004– 2003-4 Chief Architect High Performance Technical Computing– 2001 Author: Capacity Planning for Web Services– 1999 Author: Resource Management– 1995 & 1998 Author: Sun Performance and Tuning– 1996 Japanese Edition of Sun Performance and Tuning• SPARC & Solarisパフォーマンスチューニング (サンソフトプレスシリーズ)• More– Twitter @adrianco – Blog– Presentations at
  5. 5. Attendee Introductions• Who are you, where do you work• Why are you here today, what do you need• “Bring out your dead”– Do you have a specific problem or question?– One sentence elevator pitch• What instrument do you play?
  6. 6. Boosting the @NetflixOSS EcosystemSee
  7. 7. In 2012 Netflix Engineering won this..
  8. 8. We’d like to give out prizes tooBut what for?Contributions to NetflixOSS!Shared under Apache licenseLocated on github
  9. 9. How long do you have?Entries open March 13thEntries close September 15thSix months…
  10. 10. Who can win?Almost anyone, anywhere…Except current or former Netflix orAWS employees
  11. 11. Who decides who wins?Nominating CommitteePanel of Judges
  12. 12. JudgesAino CorryProgram Chair for Qcon/GOTOMartin FowlerChief Scientist ThoughtworksSimon WardleyStrategistYury IzrailevskyVP Cloud NetflixWerner VogelsCTO Amazon Joe WeinmanSVP Telx, Author “Cloudonomics”
  13. 13. What are Judges Looking For?Eligible, Apache 2.0 licensedNetflixOSS project pull requestsOriginal and useful contribution to NetflixOSSGood code quality and structureDocumentation on how to build and run itCode that successfully builds and passes a test suiteEvidence that code is in use by other projects, or is running in productionA large number of watchers, stars and forks on github
  14. 14. What do you win?One winner in each of the 10 categoriesTicket and expenses to attend AWSRe:Invent 2013 in Las VegasA Trophy
  15. 15. How do you enter?Get a (free) github accountFork us your email addressDescribe and build your entryTwitter #cloudprize
  16. 16. EntrantsNetflixEngineeringSix Judges WinnersNominationsConforms toRulesWorkingCodeCommunityTractionCategoriesRegistrationOpenedMarch 13GithubApacheLicensedContributionsGithubClose EntriesSeptember 15GithubAwardCeremonyDinnerNovemberAWSRe:InventTen PrizeCategories$10K cash$5K AWSAWSRe:InventTicketsTrophy
  17. 17. Cloud NativeRecap the keynote in much moredetail and discussion
  18. 18. A new engineering challengeConstruct a highly agile and highlyavailable service from ephemeral andoften broken components
  19. 19. Inspiration
  20. 20. Netflix StreamingA Cloud Native Application based onan open source platform
  21. 21. Netflix Member Web Site Home PagePersonalization Driven – How Does It Work?
  22. 22. How Netflix Streaming WorksCustomer Device(PC, PS3, TV…)Web Site orDiscovery APIUser DataPersonalizationStreaming APIDRMQoS LoggingOpenConnectCDN BoxesCDNManagement andSteeringContent EncodingConsumerElectronicsAWS CloudServicesCDN EdgeLocations
  23. 23. Real Web Server Dependencies Flow(Netflix Home page business transaction as seen by AppDynamics)Start HerememcachedCassandraWeb serviceS3 bucketPersonalization movie group choosers(for US, Canada and Latam)Each icon isthree to a fewhundredinstancesacross threeAWS zones
  24. 24. New Cloud Native PatternsMicro-services and Chaos enginesHighly available systems composedfrom ephemeral componentsOpen Source is the default
  25. 25. Some Strategic QuestionsWhat changed…
  26. 26. The AWS QuestionWhy does Netflix use AWS whenAmazon Prime is a competitor?
  27. 27. Netflix vs. Amazon Prime• Do retailers competing with Amazon use AWS?– Yes, lots of them, Netflix is no different• Does Prime have a platform advantage?– No, because Netflix gets to run on AWS• Does Netflix take Amazon Prime seriously?– Yes, but so far Prime isn’t impacting our business
  28. 28. Amazon Video 1.31%18x Prime25x PrimeNov2012StreamingBandwidthMarch2013MeanBandwidth+39% 6mo
  29. 29. The Google Cloud QuestionWhy doesn’t Netflix use GoogleCloud as well as AWS?
  30. 30. Google Cloud – Wait and SeePro’s• Cloud Native• Huge scale for internal apps• Exposing internal services• Nice clean API model• Starting a price war• Fast for what it does• Rapid start & minute billingCon’s• In beta until last week• No big customers yet• Missing many key features• Different arch model• Missing billing options• No SSD or huge instances• Zone maintenance windowsBut: Anyone interested is welcome to port NetflixOSS components to Google Cloud
  31. 31. Cloud Wars: Price and PerformanceAWS vs.GCS WarPrivateCloudWhat Changed:Everyone usingAWS or GCS getsthe price cuts andperformanceimprovements, asthey happen. Noneed to switchvendor.No Change:Locked in forthree years.
  32. 32. The DIY QuestionWhy doesn’t Netflix build and run itsown cloud?
  33. 33. Fitting Into Public ScalePublicGreyAreaPrivate1,000 Instances 100,000 InstancesNetflix FacebookStartups
  34. 34. How big is Public?AWS upper bound estimate based on the number of public IP AddressesEvery provisioned instance gets a public IP by defaultAWS Maximum Possible Instance Count 3.7 MillionGrowth >10x in Three Years, >2x Per Annum
  35. 35. The Alternative SupplierQuestionWhat if there is no clear leader for afeature, or AWS doesn’t have whatwe need?
  36. 36. Things We Don’t Use AWS ForSaaS Applications – Pagerduty, AppdynamicsContent Delivery ServiceDNS Service
  37. 37. CDN ScaleAWS CloudFrontAkamaiLimelightLevel 3NetflixOpenconnectYouTubeGigabits TerabitsNetflixFacebookStartups
  38. 38. Content Delivery ServiceOpen Source Hardware Design + FreeBSD, bird, nginxsee
  39. 39. DNS ServiceAWS Route53 is missing too many featuresMultiple vendor strategy Dyn, Ultra, Route53Abstracted (broken) DNS APIs with Denominator
  40. 40. Availability QuestionsIs it running yet?How many places is it running in?How far apart are those places?
  41. 41. Netflix Outages• Running very fast with scissors– Mostly self inflicted – bugs, mistakes from pace of change– Some caused by AWS bugs and mistakes• Incident Life-cycle Management by Platform Team– No runbooks, no operational changes by the SREs– Tools to identify what broke and call the right developer• Next step is multi-region– Investigating and building in stages during 2013– Could have prevented some of our 2012 outages
  42. 42. Managing Multi-Region AvailabilityCassandra ReplicasZone ACassandra ReplicasZone BCassandra ReplicasZone CRegional Load BalancersCassandra ReplicasZone ACassandra ReplicasZone BCassandra ReplicasZone CRegional Load BalancersUltraDNSDynECTDNSAWSRoute53Denominator – manage traffic via multiple DNS providersDenominator
  43. 43. Cloud Native Big DataSize the cluster to the dataSize the cluster to the questionsNever wait for space or answers
  44. 44. Netflix DataovenData WarehouseOver 2 PetabytesUrsulaAegisthusData PipelinesFrom cloudServices~100 BillionEvents/dayFrom C*Terabytes ofDimensiondataHadoop Clusters – AWS EMR1300 nodes 800 nodes Multiple 150 nodes NightlyRDSMetadataGatewaysTools
  45. 45. Cloud Native PatternsMaster copies of data are cloud residentDynamically provisioned micro-servicesServices are distributed and ephemeral
  46. 46. Cloud Native ArchitectureDistributed QuorumNoSQL DatastoresAutoscaled MicroServicesAutoscaled MicroServicesClients ThingsJVM JVMJVM JVMCassandra Cassandra CassandraMemcachedJVMZone A Zone B Zone C
  47. 47. Non-Native Cloud ArchitectureDatacenterDinosaursCloudyBufferAgile MobileMammalsiOS/AndroidApp ServersMySQL Legacy Apps
  48. 48. How to get to Cloud Native?Freedom and Responsibility for DevelopersDecentralize and Automate Ops ActivitiesIntegrate DevOps into the Business Organization
  49. 49. Four Transitions• Management: Integrated Roles in a Single Organization– Business, Development, Operations -> BusDevOps• Developers: Denormalized Data – NoSQL– Decentralized, scalable, available, polyglot• Responsibility from Ops to Dev: Continuous Delivery– Decentralized small daily production updates• Responsibility from Ops to Dev: Agile Infrastructure - Cloud– Hardware in minutes, provisioned directly by developers
  50. 50. Netflix BusDevOps OrganizationChief ProductOfficerVP ProductManagementDirectorsProductVP UIEngineeringDirectorsDevelopmentDevelopers +DevOpsUI DataSourcesAWSVP DiscoveryEngineeringDirectorsDevelopmentDevelopers +DevOpsDiscoveryData SourcesAWSVP PlatformDirectorsPlatformDevelopers +DevOpsPlatformData SourcesAWSDenormalized, independentlyupdated and scaled dataCloud, independently updatedand scaled infrastructureCode, independently updatedcontinuous delivery
  51. 51. Decentralized Deployment
  52. 52. Asgard
  53. 53. Ephemeral Instances• Largest services are autoscaled• Average lifetime of an instance is 36 hoursPushAutoscale UpAutoscale Down
  54. 54. A Cloud Native Open Source PlatformSee
  55. 55. Three QuestionsWhy is Netflix doing this?How does it all fit together?What is coming next?
  56. 56. Beware of Geeks Bearing Gifts: Strategies for anIncreasingly Open EconomySimon Wardley - Researcher at the Leading Edge Forum
  57. 57. How did Netflix get ahead?Netflix BusDevOps Org• Doing it since 2009• SaaS Applications• PaaS for agility• Public IaaS for AWS features• Big data in the cloud• Integrating many APIs• FOSS from github• Renting hardware for 1hr• Coding in Java/Groovy/ScalaTraditional IT Operations• Taking their time• Pilot private cloud projects• Beta quality installations• Small scale• Integrating several vendors• Paying big $ for software• Paying big $ for consulting• Buying hardware for 3yrs• Hacking at scripts
  58. 58. Netflix Platform EvolutionBleeding EdgeInnovationCommonPatternSharedPattern2009-2010 2011-2012 2013-2014Netflix ended up several years ahead of theindustry, but it’s becoming commoditized now
  59. 59. Making it easy to followExploring the wild west each time vs. laying down a shared route
  60. 60. Establish oursolutions as BestPractices / StandardsHire, Retain andEngage TopEngineersBuild up NetflixTechnology BrandBenefit from ashared ecosystemGoals
  61. 61. How does it all fit together?
  62. 62. Example Application – RSS Reader
  63. 63. GithubNetflixOSSSourceAWSBase AMIMavenCentralCloudbeesJenkinsAminatorBakeryDynaslaveAWS BuildSlavesAsgard(+ Frigga)ConsoleAWSBaked AMIsOdinOrchestrationAPIAWSAccountNetflixOSS Continuous Build and Deployment
  64. 64. AWS AccountAsgard ConsoleArchaiusConfig ServiceCross regionPriam C*PytheasDashboardsAtlasMonitoringGenie, LipstickHadoop ServicesAWS UsageCost MonitoringMultiple AWS RegionsEureka RegistryExhibitor ZKEdda HistorySimian Army3 AWS ZonesApplicationClustersAutoscale GroupsInstancesPriamCassandraPersistent StorageEvcacheMemcachedEphemeral StorageNetflixOSS Services Scope
  65. 65. •Baked AMI – Tomcat, Apache, your code•Governator – Guice based dependency injection•Archaius – dynamic configuration properties client•Eureka - service registration clientInitialization•Karyon - Base Server for inbound requests•RxJava – Reactive pattern•Hystrix/Turbine – dependencies and real-time status•Ribbon - REST Client for outbound callsServiceRequests•Astyanax – Cassandra client and pattern library•Evcache – Zone aware Memcached client•Curator – Zookeeper patterns•Denominator – DNS routing abstractionData Access•Blitz4j – non-blocking logging•Servo – metrics export for autoscaling•Atlas – high volume instrumentationLoggingNetflixOSS Instance Libraries
  66. 66. •CassJmeter – Load testing for Cassandra•Circus Monkey – Test account reservation rebalancingTest Tools•Janitor Monkey – Cleans up unused resources•Efficiency Monkey•Doctor Monkey•Howler Monkey – Complains about AWS limitsMaintenance•Chaos Monkey – Kills Instances•Chaos Gorilla – Kills Availability Zones•Chaos Kong – Kills Regions•Latency Monkey – Latency and error injectionAvailability•Security Monkey – security group and S3 bucket permissions•Conformity Monkey – architectural pattern warningsSecurityNetflixOSS Testing and Automation
  67. 67. More Use CasesMoreFeaturesBetter portabilityHigher availabilityEasier to deployContributions from end usersContributions from vendorsWhat’s Coming Next?
  68. 68. Vendor Driven PortabilityInterest in using NetflixOSS for Enterprise Private Clouds“It’s done when it runs Asgard”Functionally completeDemonstrated MarchRelease 3.3 in 2Q13Some vendor interestNeeds AWS compatible AutoscalerSome vendor interestMany missing features“Confused” AWS API strategy
  69. 69. AWS 2009Baseline features needed to support NetflixOSSEucalyptus 3.3
  70. 70. Functionality and scale now, portability comingMoving from parts to a platform in 2013Netflix is fostering a cloud native ecosystemRapid Evolution - Low MTBIAMSH(Mean Time Between Idea And Making Stuff Happen)
  71. 71. TakeawayNetflixOSS makes it easier for everyone to become Cloud Native@adrianco #netflixcloud @NetflixOSS