Webinar: From Development to Production with Docker and MongoDB
11 likes6,754 views
The document discusses Docker's mission to make the internet programmable through open standards and containerization, highlighting advancements such as networking plugins and the Open Container Initiative. It outlines practical use cases for Docker, including development, testing, and production deployment, particularly focusing on integrations with MongoDB and scalable web services. Additionally, it emphasizes the importance of security policies and developer collaboration in creating efficient application lifecycle management.
Webinar: From Development to Production with Docker and MongoDB
- 1. Docker + MongoDB Alvin Richards, Enterprise Products Lead [email protected] @jonnyeight
- 2. Part One – What is Docker?
- 3. Docker Mission – Make the Internet Programmable 3 Build Ship Run Open Standards Plumbing Pla6orm Solu8ons Engine Machine ComposeSwarm Distribution Image specContainer run-time spec RunC Notary Docker Trusted Registry Project "Orca"
- 5. Open Container Initiative (OCI) Coalition of industry leaders join forces to eliminate fragmentation • Form a vendor-neutral, open source governance model under the Linux Foundation • Establish common standards for container format and runtime • Docker donated its container format, runtime and associated specifications • Appoint maintainers for the libcontainer project 5 h3p://www.opencontainers.org/
- 7. Networking 8 Before • Inflexible • Single host • Limited to one network X • Container SDN • Distributed networking • Portable across networks • Plug ins to broad ecosystem ABer
- 8. Plugins Pluggable Architecture to extend Docker functionality • Introducing Networking and Volume plugins • For Users: Portability and choice for developers and ops • For Partners: Easily integrate and access Docker users • Collaboration with Cluster HQ, Glider Labs, Weave 9 Networking Volumes Docker Engine Plug ins > docker Docker client
- 9. Orchestration Across the App Lifecycle Docker Machine Docker Swarm Docker Compose 10
- 10. Docker Compose and Swarm • Consistent developer experience with flexible Swarm backends • Integrated with Docker Networking • Mesos backend beta available • Amazon ECS backend collaboration WIP 11 docker Docker client Coming Soon!
- 11. Running Docker in Production Three Key Use Cases Produc-on Requirements Commercial Availability 12
- 12. Continuous Integration and Delivery 13 Developer Version control 1. Development 2. Test 3. Stage / Produc-on QA / QE Sysadmin Video from DockerCon
- 13. Containers as a Service Developer Sysadmin DevOps Tomcat Jenkins MongoDB Deployment Video from DockerCon
- 14. SysAdmins DBAs Data Processing Pipelines Data Scientist $ docker Data Nodes Video from DockerCon
- 15. Docker Enterprise Solutions 16 Server or Cloud Hosted Registry Docker Engine Stable Secure Responsive Docker Trusted Registry Docker Hub or Commercial Subscruption
- 16. Get it here!
- 17. Part Two: Development through to Production • Build & Run an App in Development – Python + MongoDB • Deploy to a Swarm cluster in Production – Scale Web services • Deploy new MongoDB Cluster in Production
- 18. Lets build an App! 19 web mongodb Development python / flask
- 19. Scale in Production 20 web2 web3 web4 webN mongos cfg3 cfg2 cfg1 web web1 mongodb Development … Production HA Proxy rs1a rs1b rs1c rs2a rs2b rs2c
- 20. Demo 1 : Build an App 21
- 21. Roll the App to Production behind HA Proxy 22 web web1 Development Production mongodb HA Proxy mongodb
- 22. Scale the web tier 23 web2 web3 web4 webN web web1 mongodb Development … Production mongodb HA Proxy
- 23. Demo 2 : Scale the Web Tier 24
- 24. Deploy a sharded cluster 25 web2 web3 web4 webN mongos cfg3 cfg2 cfg1 web web1 mongodb Development … Production mongodb HA Proxy rs1a rs1b rs1c rs2a rs2b rs2c
- 25. Migrate to the new cluster 27 web2 web3 web4 webN mongos cfg3 cfg2 cfg1 web web1 mongodb Development … Production mongodb HA Proxy rs1a rs1b rs1c rs2a rs2b rs2c
- 26. Demo 3 : Scale the Database 28
- 27. Storage: Inside or outside the container? Inside • Encapsulation of Concerns 29 Host daemon container Host daemon container e.g. SSD e.g. EBS Outside • Separation of concerns • Storage Features (e.g. snapshots) /data/db /mnt/xx:/data/db
- 28. Summary • Define Container, their contents and how they work together once • Deploy the same images in Dev, Pre-‐Prod and Produc-on across PlaZorms One solu-on from Dev -‐> Produc-on • Ops define the whitelisted images, security policies etc. • Dev use approved images to build upon • Eliminate the complexity (and cost) of deployment Running Docker & MongoDB in Produc-on 30
- 29. Thanks and Q&A • Code – https://github.com/alvinr/docker-demo/tree/master/dockercon15demo • [email protected] • @jonnyeight 31