Docker Container As A Service - Oscon 2016
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Docker Container As A Service - Oscon 2016
- 1. Container as a Service with Docker Patrick Chanezon, Docker Inc. @chanezon
- 2. French Polyglot Platforms Software Plumber San Francisco Developer Relations @chanezon
- 3. 1995 2015
- 4. Docker’s mission is to build tools of mass innovation
- 5. Internet (hardware layer) Servers Desktops Phones Cars Houses Drones Network equipment Public transit TVs Industrial facilities Scientific instruments Financial system Programmers Internet (software layer) App App App App App App App App App App App App App App App App App App App App App App App App App App App App
- 6. Internet (hardware layer) Servers Desktops Phones Cars Houses Drones Network equipment Public transit TVs Industrial facilities Scientific instruments Financial system Programmers App App App App App App App App App App App App App App App App App App App App App App App App App App App App a software layer to program the internet
- 7. Cloud Market PublicHybridPrivate IT Pros Devops DevelopersArchitects
- 9. Docker CaaS
- 10. The Docker mission Build Ship Run Anywhere Distributed Applications 10
- 11. XaaS Pyramid Platform As A Service Infrastructure As A Service Software As A Service
- 12. 5 Goldilocks and the 3 XaaS Just rightToo highToo low IaaS PaaS CaaS
- 13. 5 Goldilocks and the 3 XaaS Platform As A Service Infrastructure As A Service Software As A Service Too high Too low Just right Container As A Service
- 14. Docker Containers as a Service (CaaS) An IT managed and secure application content and infrastructure where developers can self service build and deploy applications
- 15. The Docker Journey: The Power of AND 15 Manage and secure at scale Frictionless movement Innovation at speed + +Agility Portability Control
- 16. Docker Containers as a Service platform 16 BUILD Developer Workflows SHIP Registry Services RUN Management Docker Toolbox Docker Trusted Registry Docker Universal Control Plane Docker Cloud Docker Container Engine Ecosystem Plugins and Integrations
- 17. Characteristics of a CaaS 17 Any Infrastructure Any Operating System Any Language Any App Architecture Any Application Stage Developers + IT Ops The Power of AND Open APIs Broadest Ecosystem Support
- 18. Docker survey 2016 - Enabling the Software Supply Chain 18
- 19. Use Case: Decentralized CaaS for hybrid and multi cloud portability Private datacenter for regulated apps Central Portal • Provision resources • RBAC to VPC / datacenter • Trusted Registry hosted application templates Cloud for all other apps VPC 1 VPC2 App 1 App 2 App App 1 App 2 App Cloud Portability App Portability
- 20. Use Case: Centralized CaaS for transformation to DevOps and micro services After Authorization App Registration Session Management Marketplace Integration Logging …more Trusted RegistryApp Service App Service App A App B Auth …more App Reg Marketplace Logging Auth Session …more App Reg Logging Before App Teams App BAuth App Reg Marketplace Logging App Service Universal Control Plane App AAuth App Reg Marketplace Logging App Service App BAuth App Reg Marketplace Logging App Service App AAuth App Reg Marketplace Logging App Service Portability
- 21. What’s New in Docker?
- 23. Docker 1.11
- 24. Docker 1.11 • DNS round robin load balancing • Container rescheduling on node failure
- 25. Docker UCP 1.1 - DTR 2.0 • HA • Unified Auth • Compose deployment • UI to add nodes
- 27. 27 Security Source: NCC Group Whitepaper - Understanding and Hardening Linux Containers In Diogo's post "A Look Back at One Year of Docker Security" https://blog.docker.com/2016/04/docker-security/
- 28. Security scanning in Docker Cloud
- 29. Security scanning in Docker Cloud
- 30. Docker & Microsoft • Build • Docker Toolbox & Kitematic for Windows • Docker for Windows beta • Docker engine on Windows Server 2016 TP4 • yo-docker to dockerize existing projects • Visual Studio Docker Tools • Ship • VSTS extension for Docker beta • Run • Azure Docker agent • ACS • Docker datacenter on Azure ARM template
- 31. Docker for Mac and Windows private beta https://beta.docker.com/
- 34. Demos
- 35. Linux X11 Apps on Docker for Mac https://github.com/chanezon/docker-tips/x11
- 36. • Docker Swarm, Compose and networking • docker 1.11 • swarm 1.1.0 • compose 1.6.0 with networking • Run/Debug with STS IDE in a container Spring Boot App using MongoDB https://github.com/joshlong/spring-doge https://github.com/chanezon/docker-tips/orchestration-networking https://github.com/chanezon/spring-doge
- 37. Docker Universal Control Plane https://github.com/chanezon/docker-tips/tree/master/azure-acs-ucp
- 38. ucp-controller Cloud LB ucp-node-1 ucp-node-2 Cloud LB etcd InterlockSwarm ucp-proxy nginx nginx Configuration Reconfigures myapp:314 myapp:42 myapp:1968 myapp.comdocker run myapp Load balancing in UCP with Interlock https://github.com/chanezon/docker-tips/orchestration-networking Interlock Events
- 39. • Slides • http://www.slideshare.net/chanezon • Questions • @chanezon • Code for demos • https://github.com/chanezon/docker-tips • https://github.com/chanezon/spring-doge Resources
- 40. THANK YOU
- 41. Let’s Dockerize a Neo4J App https://github.com/neo4j-examples/movies-java-spring-data-neo4j-4
- 42. Load balancing in UCP with Interlock See "Reference Architecture: Service Discovery and Load Balancing with Docker Universal Control Plane (UCP)"
- 43. • Service Discovery • https://github.com/gliderlabs/registrator • https://github.com/hashicorp/consul-template • https://github.com/ehazlett/interlock • Persistent volumes with Swarm and Rex Ray on AWS • http://blog.emccode.com/2015/11/03/use-docker-swarm-with-a-data- persistence-layer/ • https://github.com/emccode/rexray • Kubernetes on Swarm • https://github.com/docker/swarm-frontends Orchestration projects
- 44. • IPVS, Andrey Sibiryov, http://www.slideshare.net/Docker/kernel-load- balancing-for-docker-containers-using-ipvs • DNS Service Discovery for Docker Swarm, Ahmet Alp Balkan, http://www.slideshare.net/Docker/dns-service-discovery-for-docker-swarm Load Balancing
- 45. • Spring Boot, MongoDB, compose, swarm, networking • https://github.com/joshlong/spring-doge • https://github.com/chanezon/docker-tips/orchestration-networking • Java EE 7 / Angular App with Docker Swarm by @mgreau Compose for build and deploy, Wildfly, Apache, Angular, Mysql, Redis, batch and API apps • https://github.com/mgreau/docker4dev-tennistour-app • Java EE Docker & Kubernetes by @arun-gupta • https://github.com/javaee-samples/docker-java Java Examples
- 46. • Docs https://docs.docker.com/engine/userguide/networking/dockerne tworks/ • Create a Swarm cluster with networking https://github.com/chanezon/docker-tips/orchestration- networking • Networking in compose https://github.com/docker/compose/blob/master/docs/networki ng.md • Nathan Leclaire Seamless Docker Multihost Overlay Networking on DigitalOcean With Machine, Swarm, and Compose, Docker networking
- 47. • Using Ansible with Docker Machine to Bootstrap Host Nodes http://nathanleclaire.com/blog/2015/11/10/using-ansible-with- docker-machine-to-bootstrap-host-nodes/ • Seamless Docker Multihost Overlay Networking on DigitalOcean With Machine, Swarm, and Compose, RethinkDB http://nathanleclaire.com/blog/2015/11/17/seamless-docker- multihost-overlay-networking-on-digitalocean-with-machine- swarm-and-compose-ft.-rethinkdb/ Nathan’s tips
Notes de l'éditeur
- The Docker mission is enable organizations to build, ship and run distributed applications anywhere.
- The Docker CaaS platform delivers these benefits for organizations and is already proven by the thousands of organizations who embarked on the Docker journey starting in 2013 Agility – The speed and simplicity of Docker is what originally drew developers to Docker. They were fundamentally able to ship more software faster. This fundamentally changed the way in which companies could innovate - ING went from shipping once every 9 months to shipping over 1,500 times a year by adoption Docker and DevOps - CapitalOne was able to use Docker to transform how they use data to empower their data scientists and business decisions. Portability – Just by the nature of the Docker technology, these developers realized they could easily move that containerized app from dev to test and ultimately to prod without any issue. No more finger pointing about why the app that worked fine in dev doesn’t work in prod. Having the app and dependencies packaged together made the container a self contained and independent unit. And beyond that, teams realized they could also move these apps across data centers and clouds – giving them a level of freedom and leverage not possible before. No more lock-in. The combination of agility and portability led to the #1 most popular use case for Docker – Continuous Integration. But that’s only half the value. To realize the full value of Docker, these apps need to move to production and new requirements around manageability, security and monitoring are required to enforce SLAs. Control – The Docker platform is the only solution that provides Agility AND Portability AND Control. Docker standardizes your application environment, with native tooling to manage the infrastructure and applications. And we provide you the levers so YOU can decide how much control and freedom is appropriate for YOUR business. We don’t prescribe that for you. Our tools help unify your heterogeneous infrastructure, languages and systems.
- Docker is the only solution to give you agility, control and portability for all your distributed apps. The right choice in helping transform your business into an agile business. The platform is the only commercially supported Docker solution available on the market today. Other vendors who state they support Docker is not actually providing technical support and maintenance into the Docker product code. Docker is the only commercial yet open platform that gives you the operational flexibility you need. And unlike other solutions, Docker is… Language agnostic: C, Java, Phython, PHP, Go…. Infrastructure agnostic: on-prem, cloud, virtual, bare metal All stages: from dev to test to release engineering to production Any OS: Linux, Windows, Solaris Docker enables agile distributed applications in production to create agile companies
- The Docker CaaS platform delivers these benefits for organizations and is already proven by the thousands of organizations who embarked on the Docker journey starting in 2013 Agility – The speed and simplicity of Docker is what originally drew developers to Docker. They were fundamentally able to ship more software faster. This fundamentally changed the way in which companies could innovate - ING went from shipping once every 9 months to shipping over 1,500 times a year by adoption Docker and DevOps - CapitalOne was able to use Docker to transform how they use data to empower their data scientists and business decisions. Portability – Just by the nature of the Docker technology, these developers realized they could easily move that containerized app from dev to test and ultimately to prod without any issue. No more finger pointing about why the app that worked fine in dev doesn’t work in prod. Having the app and dependencies packaged together made the container a self contained and independent unit. And beyond that, teams realized they could also move these apps across data centers and clouds – giving them a level of freedom and leverage not possible before. No more lock-in. The combination of agility and portability led to the #1 most popular use case for Docker – Continuous Integration. But that’s only half the value. To realize the full value of Docker, these apps need to move to production and new requirements around manageability, security and monitoring are required to enforce SLAs. Control – The Docker platform is the only solution that provides Agility AND Portability AND Control. Docker standardizes your application environment, with native tooling to manage the infrastructure and applications. And we provide you the levers so YOU can decide how much control and freedom is appropriate for YOUR business. We don’t prescribe that for you. Our tools help unify your heterogeneous infrastructure, languages and systems.
- This leading phahas a hybrid cloud environment and would like to have a portal to completely abstract away the infrastructure details from their app teams. This way in the portal they request compute resources. Depending on if the app is regulated or not, the actual provisioning and deployment will happen to either an AWS VPC or their private datacenter. In addition to the portal, J&J would like to add a central IT managed marketplace to get app templates and images to help the teams get started. Once provisioned, the actual deployment and ongoing management is de-centralized and owned by the application teams. Use Cases - Developer self service - Hybrid cloud portability - Multi cloud environment Why Docker? App portability is a MUST. Over time they want the option to move the DC apps to cthe cloud as regulations change. Additionally they have already added Azure to their environment and would like to be able to move apps to the new clouds.
- ADP operates in a more traditional centralized IT model where IT manages and operates the application and environment ongoing. ADP looked at Docker as they began their transition to DevOps. They were interested in gaining more efficiencies and re-use of code by moving to a shared services model instead of monoliths with a lot of repeat services. ADP has OpenStack for their private cloud and AWS for their public cloud. As part of the transition, ADP would will setup a central marketplace where the shared services apps are available for the app teams. In the ADP example both the environment and ongoing management remains centralized. Use Cases - Transition to Micro services - Enable Dev Ops - CI/CD Why Docker? Need app portability so they can choose to move across AWS / Openstack