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Embracing
CloudS
Andrew yongjoon kong
CloudComputingCell, kakao
andrew.kong@kakaocorp.com
Everyone says
Openstack is done
K8S is not much
Cloud is Done!
How Far did you go with your cloud?
CMMI Model
Capability Maturity Model Integration
developed by CMU
Perspectives
Cloud
Consumer
Cloud
Producer
Cloud’s API
How Far did you go with your cloud? like Kakao
Cloud Producer: CMMI Dev perspective
Maturity
Dreams
How Far did you go with your cloud? like Kakao
Cloud Consumer: CMMI Cloud Perspective
Open Data Center Alliance, Inc
Where are you from CMMI-DEV perspective? kakao case
C Devops
:scrum, daily standup, planning/restrospect
BTW,
What is Devops?
Where are you from CMMI-DEV perspective? kakao case
C
-Triggered Test
-Daily Test
Targeting zero touching deployment
Where are you from CMMI-DEV perspective? kakao case
C
After huge neutron network break down,
Regular basis Release
Targeting to Frequent releases
Where are you from CMMI-DEV perspective? kakao case
C
Jenkins manages Version
Configuration Server Stores the data
C
C
Where are you from CMMI-Cloud perspective? kakao case
What is the sole purpose of doing cloud?
CMM0
legacy
output:
ITF
CMM1
self
service
Dev
resource
output:
krane
(openstack
cloud)
Some Numbers about kakao openstack
1563projects
632
pull request since 2014.9
88about
VMs are created/deleted per day
8703
vms
2,xxxprojects
807
pull request since 2014.9
100about
VMs are created/deleted per day
15,xxx
vms
2016.8 2017.7
9x,xxx active cores
KakaocorpSome	information	about	kakao openstack
from grizzly to Kilo
5 times upgraded
total 4Region
additional service Heat/
Trove/
Sahara
from grizzly to Mitaka
7 times upgraded
total 4Region
Heat/
Trove/
Octavia/
barbican 2016.82017.7
Where are you from CMMI-Cloud perspective? kakao case
What is the sole purpose of doing cloud?
CMM0
legacy
output:
cloudTF
CMM1
self
service
Dev
resource
output:
krane
(openstack
cloud)
CMM2
limited
Prod
resources
output:
kemi
(MaaS)
CMMI 2 Case:
event monitoring/alert platform kakao, KEMI
Physical	
Servers
Virtual	
Instances
Containers
Others
(switches,	
logs)
monitoring
KEMI
IMS
(kakao CMDB	
API)
SB
Rule	
Engine
Notificati
on	
ETL	
Data Center Information abstraction layer
API	
predicting
scheduling
Openstack
Heat
Other	
Service	
API
Data Center (or Service ) Management Activity
control
KEMI stats KEMI log
Where are you from CMMI-Cloud perspective? kakao case
What is the sole purpose of doing cloud?
CMM0
legacy
output:
cloudTF
CMM1
self
service
Dev
resource
output:
krane
(openstack
cloud)
CMM2
limited
Prod
resources
output:
kemi
(MaaS)
CMM3
Automated
CloudUsage
output:
DKOS
(CaaS)
CMM3 case:
Deployment abstraction in Kakao, DKOS
Data Center
User:
Defines	
resource
VM
PM
container
Service	
Catalogue
Centralized
Deploying
System
(DKOS)
Resource Pool
Queue
scheduler
manager
DKOS Archtecture
Services over DKOS
Services over DKOS
DKOS Situation
• Active cluster : 400
• Total compute node : 4000 (vm+pm)
• Container counts : 8800
• Managed by?
DKOS Situation
• Why use DKOS(container)?
• Container easy
• Container cool
• dc/os is great
• Nop!
• Very summit point of integrated/automated
infra platform
Where are you from CMMI-Cloud perspective? kakao case
Time to embrace CloudS, not Cloud
CMM0
legacy
output:
cloudTF
CMM1
self
service
Dev
resource
output:
krane
(openstack
cloud)
CMM2
limited
Prod
resources
output:
kemi
(MaaS)
CMM3
Automated
CloudUsage
output:
DKOS
(CaaS)
CMM4
Manual
Cloud
Usage
--
CMM5
Federated
Cloud
usage
--
Before tackling CloudS?
Abstraction
should come first
Fully abstracted operation
• Service Repo.
• Service catalog
• notification
• scheduling
Centralized
CMDB
Centralized
Measuring
System
Centralized
Deploying
System
Management Plane
DataCenter Contol/Data	plane	
Event / Alert
Initial Setup
Change
IT operations.
IT Services.
Which drives you wild?
What drives you from CMM3 to CMM4/5?
CMM0
legacy
output:
CMM1
self
service
Dev
resource
output:
CMM2
limited
Prod
resources
output:
CMM3
Automated
CloudUsage
output:
CMM4
Manual
Cloud
Usage
--
CMM5
Federated
Cloud
usage
--Relative cost
You should say
Cloud is Not Done!
Clouds is just started
Thanks

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Embracing clouds

  • 2. Everyone says Openstack is done K8S is not much Cloud is Done!
  • 3. How Far did you go with your cloud? CMMI Model Capability Maturity Model Integration developed by CMU
  • 5. How Far did you go with your cloud? like Kakao Cloud Producer: CMMI Dev perspective Maturity Dreams
  • 6. How Far did you go with your cloud? like Kakao Cloud Consumer: CMMI Cloud Perspective Open Data Center Alliance, Inc
  • 7. Where are you from CMMI-DEV perspective? kakao case C Devops :scrum, daily standup, planning/restrospect BTW, What is Devops?
  • 8. Where are you from CMMI-DEV perspective? kakao case C -Triggered Test -Daily Test Targeting zero touching deployment
  • 9. Where are you from CMMI-DEV perspective? kakao case C After huge neutron network break down, Regular basis Release Targeting to Frequent releases
  • 10. Where are you from CMMI-DEV perspective? kakao case C Jenkins manages Version Configuration Server Stores the data C C
  • 11. Where are you from CMMI-Cloud perspective? kakao case What is the sole purpose of doing cloud? CMM0 legacy output: ITF CMM1 self service Dev resource output: krane (openstack cloud)
  • 12. Some Numbers about kakao openstack 1563projects 632 pull request since 2014.9 88about VMs are created/deleted per day 8703 vms 2,xxxprojects 807 pull request since 2014.9 100about VMs are created/deleted per day 15,xxx vms 2016.8 2017.7 9x,xxx active cores
  • 13. KakaocorpSome information about kakao openstack from grizzly to Kilo 5 times upgraded total 4Region additional service Heat/ Trove/ Sahara from grizzly to Mitaka 7 times upgraded total 4Region Heat/ Trove/ Octavia/ barbican 2016.82017.7
  • 14. Where are you from CMMI-Cloud perspective? kakao case What is the sole purpose of doing cloud? CMM0 legacy output: cloudTF CMM1 self service Dev resource output: krane (openstack cloud) CMM2 limited Prod resources output: kemi (MaaS)
  • 15. CMMI 2 Case: event monitoring/alert platform kakao, KEMI Physical Servers Virtual Instances Containers Others (switches, logs) monitoring KEMI IMS (kakao CMDB API) SB Rule Engine Notificati on ETL Data Center Information abstraction layer API predicting scheduling Openstack Heat Other Service API Data Center (or Service ) Management Activity control KEMI stats KEMI log
  • 16. Where are you from CMMI-Cloud perspective? kakao case What is the sole purpose of doing cloud? CMM0 legacy output: cloudTF CMM1 self service Dev resource output: krane (openstack cloud) CMM2 limited Prod resources output: kemi (MaaS) CMM3 Automated CloudUsage output: DKOS (CaaS)
  • 17. CMM3 case: Deployment abstraction in Kakao, DKOS Data Center User: Defines resource VM PM container Service Catalogue Centralized Deploying System (DKOS) Resource Pool Queue scheduler manager
  • 21. DKOS Situation • Active cluster : 400 • Total compute node : 4000 (vm+pm) • Container counts : 8800 • Managed by?
  • 22. DKOS Situation • Why use DKOS(container)? • Container easy • Container cool • dc/os is great • Nop! • Very summit point of integrated/automated infra platform
  • 23. Where are you from CMMI-Cloud perspective? kakao case Time to embrace CloudS, not Cloud CMM0 legacy output: cloudTF CMM1 self service Dev resource output: krane (openstack cloud) CMM2 limited Prod resources output: kemi (MaaS) CMM3 Automated CloudUsage output: DKOS (CaaS) CMM4 Manual Cloud Usage -- CMM5 Federated Cloud usage --
  • 25. Fully abstracted operation • Service Repo. • Service catalog • notification • scheduling Centralized CMDB Centralized Measuring System Centralized Deploying System Management Plane DataCenter Contol/Data plane Event / Alert Initial Setup Change IT operations. IT Services.
  • 26. Which drives you wild? What drives you from CMM3 to CMM4/5? CMM0 legacy output: CMM1 self service Dev resource output: CMM2 limited Prod resources output: CMM3 Automated CloudUsage output: CMM4 Manual Cloud Usage -- CMM5 Federated Cloud usage --Relative cost
  • 27. You should say Cloud is Not Done! Clouds is just started