Quipper on Containers

2016/09/21 JAWS UG コンテナ支部 #6

Transcript

1. on Containers )
2. @hakobera DevOps Engineer
4. Mexico City London Tokyo Manila Jakarta Sales team only Sales and dev team International Offices No one here (yet).
5. Products
6. Container != Docker
7. Docker is one of the container impls. Ubuntu LXD Microsoft® Windows® Server Container Hyper-V® Container
8. When do you use container on your system?
9. Now!
10. Why do you use container?
11. Portability and Beyond Your Cloud Limits
12. Docker on Elastic Beanstalk • For short batch using worker tier • Avoid darkness of .ebextension • Avoid Amazon Linux ◦ We want to use Ubuntu
13. Load Test on Elastic Container Service • Easy to setup locust cluster ◦ Consists of 2 Tasks ▪ 1 master ▪ Multiple slave ◦ Manage instances using Spot Fleet ▪ Cheap but scalable
14. nginx-build on CircleCI • Easy to build custom nginx build ◦ Bundle custom modules such as ngx_mruby ◦ Patch for security issue ▪ Update only openssl but not nginx
15. Ansible playbook test on CircleCI • Run playbook to clean environment • Run playboot test in parallel
16. Do you also use container for Web application?
17. Yes! But it’s not so easy
18. History of Quipper and Container
19. Quipper is Container Native Company
20. Quipper use container from beginning
21. Back to 2012 First Product First Container is ...
23. It’s too early
24. No source repository Only CTO only knows
25. From 2013 Second Container Choice is ...
27. Heroku is great!
28. Awesome features of Heroku • Deploy via git • Buildpack • Multiple Dyno Size • One-off dyno • Review Apps
29. At April, 2015 We are acquired by Recruit Co. Ltd
30. What problem do we have to resolve? • Performance ◦ Latency from Japan and USA (400ms/req) ◦ Needed more powerful dyno • Security ◦ At least we need fixed outbound IP address • Cost
31. We want to keep awesome features • Deploy using git from CircleCI • Buildpack • Multiple Dyno Size • One-off dyno • CLI compatibility
33. Your PaaS, Your Rules Open Source Application Platform
34. Similarity to Heroku • Deploy via git • Buildpack • CLI sub command ◦ Ex: heroku conifg:set <-> deis config:set • Interactive console not yet supported ◦ Create own tool using Docker API
35. Similarity to Heroku is important Because we’re deploying one source
36. Source: http://docs.deis.io/en/latest/understanding_deis/architecture/
40. Components of PaaS for Web app • Router • Controller • Slug Builder • Container Registry • Object Storage • Scheduler • Key Value Store • Database • Git Repository • Logger
41. Where is the best place to deploy each component?
42. Late 2015
43. Elastic Load Balancing Router Controller Builder Applications etcd AZ #1 AZ #2 Production Cluster 1st Gen. PosggreSQL On Amazon RDS Docker Registry On Amazon S3
44. Hard to Scale Out
45. April 2016
46. Elastic Load Balancing Router/Applications AZ #1 AZ #2 Controller /Builder etcd Production Cluster 2nd Gen. PosggreSQL On Amazon RDS Docker Registry On Amazon S3
47. Noisy Neighbor AND Cost Increase
48. Fleet is too simple • Fleet is not resource aware scheduler • Fleet deploy new container in instance which has the least containers • Sometimes make it unbalanced workload of clusters
49. Bad scheduling of fleet High High Normal Low Low Low Instance 1 Instance 2 Instance 3
50. We hope resource aware scheduling High High Normal Low Low Instance 1 Instance 2 Instance 3 Low
51. Aug 2016 〜
52. Elastic Load Balancing Router/Apps (Shared) AZ #1 AZ #2 Controller /Builder High-Load Apps (Dedicated) etcd Production Cluster 3rd Gen PosggreSQL On Amazon RDS Docker Registry On Amazon S3
53. Tag based Deployment High HighI Normal Low Low Low high=false high=true
54. Tag based Deployment • Tag = Fleet metadata • Set fleet metadata by cloud-init #cloud-config Coreos: ... fleet: public-ip: $private_ipv4 metadata: dataPlane=true,high=true #cloud-config Coreos: ... fleet: public-ip: $private_ipv4 metadata: dataPlane=true,routerMesh=true,high=false For dedicated For shared
55. Elastic Load Balancing Router AZ #1 AZ #2 Controller /Builder Applications etcd Staging Cluster PosggreSQL On Amazon RDS Docker Registry On Amazon S3
56. Other Awesome Features
57. Blue Green Deployment 1. Start new containers 2. Notify to etcd 3. Update nginx.conf by confd 4. Reload router (nginx) 5. Update routing 6. Destroy old containers
58. Use nginx as reverse proxy for PaaS • Easy to handle naked domain • Resolve slow client issue • Can support HTTP/2 • Flexible routing ◦ A/B test, 10% release, etc ...
59. Problem as of now
60. Fleet is too simple (again) • Fleet is not resource aware scheduler • Fleet deploy new container in instance which has the least containers • Sometimes make it unbalanced workload of clusters
61. etcd stability • etcd sometimes get high CPU load
62. In the future ...
63. Deis Workflow (Deis v2) • https://github.com/deis/workflow • Based on Kubernates
64. End
65. We’re hiring! https://www.quipper.com/career/Japan/ https://www.wantedly.com/companies/quipper