12 Factors App And Example On AWS
12 Factors App with DockerOn AWS
About Me : Ma BowenThoughtWorks Senior ConsultantWeb/RoR/Java/Scala Developer, 3 years DevOpsBook Translation Scala Cookbook AWS Certified Associate Solution Architect
12facters.net
Methodology for building Web AppsUse declarative formats for setup automationMaximum portability between execution environmentsSuitable for deployment on modern cloud platformskeep environment consistence, continuous deploymentScale with few changes to tooling/architecture etc
One Codebase, Multiple Deploys
Explicitly declare & isolate dependenciesRuby Gemfile, e.g bundle install —path vendor/bundle Debian/RPM
Store Config in EnvironmentTestDB HOST: testdbDB USR: readwriteDB PASS:123456StagingProductionDB HOST: stgdbDB USR: stgrwDB PASS:passwordDB HOST: proddbDB USR: prodrwDB PASS:password&
Backing services as attached resources
Build release run
ProcessesThe app is executed in the execution environmentas one or more processes.Twelve-factor processes are stateless and sharenothing
Port BindingThe twelve-factor app is completely self-containedand does not rely on runtime injection of awebserver into the execution environment to createa web-facing service.
ConcurrencyTwelve-factor app processes shouldnever daemonize or write PID files.Instead, rely on the operating system’sprocess manager (such as Upstart, adistributed process manager on a cloud
DisposabilityMaximize robustness with fast startupand graceful shutdown
Dev/prod parity
LogsTreat logs as event streams,A twelve-factor appnever concerns itself with routing or storage of itsoutput stream.
Admin processesASGScheduled actionInstanceOne Off taskRun admin/management tasks as oneoff processes
How do we apply this on AWSwith Docker
Some ContextYears AgoNowDev OpsDevOps,Cross Functional team8 teams40 teamsmonolithsmicro services(decomissioning )2 Data Centers2 DC 100 AWS accountsOps DeployingTMI && Continuous Delivery
Some GlossariesAMI: Amazon Machine ImageELB: Elastic Load BalancerASG: Auto Scaling GroupCloudwatch: AWS Monitoring ServiceCloudFormation: Manage AWS resources with JSON templateNewrelic: Application MonitoringSplunk: Enterprise Log Aggregator
Continuous Delivery Before
ProcessesCommitCIbase AMIRPMAMIAMIuser-datastaging configuser-dataprod configstagingAppproductionApp
ConsPackaging twice, RPM/AMIDuplicated effort for automate deploymentNot good for succession planDev/Test/Staging/Prod different
Docker - FTW
Expected0-downtime deploymentCommitCIauto-rollbackDocker ImageloggingmonitoringApp
AIM of shipperStandardising and simplify the way we deployPortable between teams and account
shipper.yml
Any web applicationgeneric AMIany web-app frameworkany programming languageany Linux variantnginxSplunk supportcaptures stdout/stderrrequestsno appsupport requiredCloudWatch supportalerts you when service is downvia email or web-hooksupportingservicesNew RelicAuto-scalingmultiple serversload-balancingsupport for scaling schedules CONFIGZero-downtimedeploymentsyourapplicationsafe upgrades app/ safe config changesNew Relic supportlog collectorapplication monitoringsystem monitoringdeployment notificationSplunkdocker-registry
generic AMIrequestsnginx CONFIGyour application app/ log collectorsupportingservicesNew RelicSplunkdocker-registry
Actual Process
app imageenv varsshipper.ymlAWS resourcesapp imageshippercf templateupdatecf config
Immutable Deployment (1/2)
Immutable Deployment (2/2)
Docker V2 registry
Deployed 70 systems
Next StepSupport batched jobsECS/ECRSwarm/Kubernates
Finiambowen.github.ioiambowen.m@gmail.com
New Relic Splunk generic AMI supporting services your application docker-registry. Actual Process. shipper.yml cf template shipper cf config update app image AWS resources env vars app image. Immutable Deployment (1/2) Immutable Deployment (2/2) Docker V2 regis
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