SlideShare une entreprise Scribd logo
1  sur  28
Télécharger pour lire hors ligne
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

Contenu connexe

Tendances

Using commercial Clouds to process IceCube jobs
Using commercial Clouds to process IceCube jobsUsing commercial Clouds to process IceCube jobs
Using commercial Clouds to process IceCube jobsIgor Sfiligoi
 
Managing Cloud networking costs for data-intensive applications by provisioni...
Managing Cloud networking costs for data-intensive applications by provisioni...Managing Cloud networking costs for data-intensive applications by provisioni...
Managing Cloud networking costs for data-intensive applications by provisioni...Igor Sfiligoi
 
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark Clusters
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark ClustersApril 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark Clusters
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark ClustersYahoo Developer Network
 
Paul Angus - CloudStack Container Service
Paul  Angus - CloudStack Container ServicePaul  Angus - CloudStack Container Service
Paul Angus - CloudStack Container ServiceShapeBlue
 
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...OpenNebula Project
 
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011Toby Bloom
 
Paul Angus - what's new in ACS 4.11
Paul Angus - what's new in ACS 4.11Paul Angus - what's new in ACS 4.11
Paul Angus - what's new in ACS 4.11ShapeBlue
 
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPCAmazon Web Services
 
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...In-Memory Computing Summit
 
High Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudHigh Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudAccubits Technologies
 
Leveraging Databricks for Spark pipelines
Leveraging Databricks for Spark pipelinesLeveraging Databricks for Spark pipelines
Leveraging Databricks for Spark pipelinesRose Toomey
 
Arc305 how netflix leverages multiple regions to increase availability an i...
Arc305 how netflix leverages multiple regions to increase availability   an i...Arc305 how netflix leverages multiple regions to increase availability   an i...
Arc305 how netflix leverages multiple regions to increase availability an i...Ruslan Meshenberg
 
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...OpenNebula Project
 
MEW22 22nd Machine Evaluation Workshop Microsoft
MEW22 22nd Machine Evaluation Workshop MicrosoftMEW22 22nd Machine Evaluation Workshop Microsoft
MEW22 22nd Machine Evaluation Workshop MicrosoftLee Stott
 
Code for the earth OCP APAC Tokyo 2013-05
Code for the earth OCP APAC Tokyo 2013-05Code for the earth OCP APAC Tokyo 2013-05
Code for the earth OCP APAC Tokyo 2013-05Tetsu Saburi
 
deep learning in production cff 2017
deep learning in production cff 2017deep learning in production cff 2017
deep learning in production cff 2017Ari Kamlani
 
CPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performanceCPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performanceCoburn Watson
 
1 Million Writes per second on 60 nodes with Cassandra and EBS
1 Million Writes per second on 60 nodes with Cassandra and EBS1 Million Writes per second on 60 nodes with Cassandra and EBS
1 Million Writes per second on 60 nodes with Cassandra and EBSJim Plush
 
Veritas NetBackup Scalability and Performance Benchmark Infographic
Veritas NetBackup Scalability and Performance Benchmark InfographicVeritas NetBackup Scalability and Performance Benchmark Infographic
Veritas NetBackup Scalability and Performance Benchmark InfographicVeritas Technologies LLC
 

Tendances (19)

Using commercial Clouds to process IceCube jobs
Using commercial Clouds to process IceCube jobsUsing commercial Clouds to process IceCube jobs
Using commercial Clouds to process IceCube jobs
 
Managing Cloud networking costs for data-intensive applications by provisioni...
Managing Cloud networking costs for data-intensive applications by provisioni...Managing Cloud networking costs for data-intensive applications by provisioni...
Managing Cloud networking costs for data-intensive applications by provisioni...
 
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark Clusters
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark ClustersApril 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark Clusters
April 2016 HUG: CaffeOnSpark: Distributed Deep Learning on Spark Clusters
 
Paul Angus - CloudStack Container Service
Paul  Angus - CloudStack Container ServicePaul  Angus - CloudStack Container Service
Paul Angus - CloudStack Container Service
 
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...
OpenNebulaConf2015 1.03 Private, Public, Hybrid: The Real Economics of Open S...
 
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011
Cloud Computing: Safe Haven from the Data Deluge? AGBT 2011
 
Paul Angus - what's new in ACS 4.11
Paul Angus - what's new in ACS 4.11Paul Angus - what's new in ACS 4.11
Paul Angus - what's new in ACS 4.11
 
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC
(CMP303) ResearchCloud: CfnCluster and Internet2 for Enterprise HPC
 
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...
IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases ...
 
High Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudHigh Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloud
 
Leveraging Databricks for Spark pipelines
Leveraging Databricks for Spark pipelinesLeveraging Databricks for Spark pipelines
Leveraging Databricks for Spark pipelines
 
Arc305 how netflix leverages multiple regions to increase availability an i...
Arc305 how netflix leverages multiple regions to increase availability   an i...Arc305 how netflix leverages multiple regions to increase availability   an i...
Arc305 how netflix leverages multiple regions to increase availability an i...
 
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
OpenNebulaConf2015 1.06 Fermilab Virtual Facility: Data-Intensive Computing i...
 
MEW22 22nd Machine Evaluation Workshop Microsoft
MEW22 22nd Machine Evaluation Workshop MicrosoftMEW22 22nd Machine Evaluation Workshop Microsoft
MEW22 22nd Machine Evaluation Workshop Microsoft
 
Code for the earth OCP APAC Tokyo 2013-05
Code for the earth OCP APAC Tokyo 2013-05Code for the earth OCP APAC Tokyo 2013-05
Code for the earth OCP APAC Tokyo 2013-05
 
deep learning in production cff 2017
deep learning in production cff 2017deep learning in production cff 2017
deep learning in production cff 2017
 
CPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performanceCPN302 your-linux-ami-optimization-and-performance
CPN302 your-linux-ami-optimization-and-performance
 
1 Million Writes per second on 60 nodes with Cassandra and EBS
1 Million Writes per second on 60 nodes with Cassandra and EBS1 Million Writes per second on 60 nodes with Cassandra and EBS
1 Million Writes per second on 60 nodes with Cassandra and EBS
 
Veritas NetBackup Scalability and Performance Benchmark Infographic
Veritas NetBackup Scalability and Performance Benchmark InfographicVeritas NetBackup Scalability and Performance Benchmark Infographic
Veritas NetBackup Scalability and Performance Benchmark Infographic
 

Similaire à Embracing clouds

How to deploy machine learning models into production
How to deploy machine learning models into productionHow to deploy machine learning models into production
How to deploy machine learning models into productionDataWorks Summit
 
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018Cloudify Community
 
20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes
20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes
20200113 - IBM Cloud Côte d'Azur - DeepDive KubernetesIBM France Lab
 
Building Microservices in the cloud at AutoScout24
Building Microservices in the cloud at AutoScout24Building Microservices in the cloud at AutoScout24
Building Microservices in the cloud at AutoScout24Christian Deger
 
Accelerate Digital Transformation with IBM Cloud Private
Accelerate Digital Transformation with IBM Cloud PrivateAccelerate Digital Transformation with IBM Cloud Private
Accelerate Digital Transformation with IBM Cloud PrivateMichael Elder
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cTony Pearson
 
How Cloud Service Providers (CSPs) can grow their business with IBM Cloud
How Cloud Service Providers (CSPs) can grow their business with IBM CloudHow Cloud Service Providers (CSPs) can grow their business with IBM Cloud
How Cloud Service Providers (CSPs) can grow their business with IBM CloudMichael Kozloff
 
IBM Cloud Kubernetes Serviceで使うコンテナ環境
IBM Cloud Kubernetes Serviceで使うコンテナ環境IBM Cloud Kubernetes Serviceで使うコンテナ環境
IBM Cloud Kubernetes Serviceで使うコンテナ環境Shoichiro Sakaigawa
 
Achieving scalability & speed with IaaS
Achieving scalability & speed with IaaSAchieving scalability & speed with IaaS
Achieving scalability & speed with IaaSIBM Software India
 
Using Grid Technologies in the Cloud for High Scalability
Using Grid Technologies in the Cloud for High ScalabilityUsing Grid Technologies in the Cloud for High Scalability
Using Grid Technologies in the Cloud for High Scalabilitymabuhr
 
Highway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichHighway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichChristian Deger
 
Cloud Run - the rise of serverless and containerization
Cloud Run - the rise of serverless and containerizationCloud Run - the rise of serverless and containerization
Cloud Run - the rise of serverless and containerizationMárton Kodok
 
From Zero to still Zero: The most beautiful mistakes going into the cloud.
From Zero to still Zero: The most beautiful mistakes going into the cloud. From Zero to still Zero: The most beautiful mistakes going into the cloud.
From Zero to still Zero: The most beautiful mistakes going into the cloud. OPEN KNOWLEDGE GmbH
 
Create Secure Test and Dev Environments in the Cloud
Create Secure Test and Dev Environments in the CloudCreate Secure Test and Dev Environments in the Cloud
Create Secure Test and Dev Environments in the CloudRightScale
 
Cloud Computing Business Model
Cloud Computing Business ModelCloud Computing Business Model
Cloud Computing Business Modelippei_suzuki
 
virtualization and cloud
virtualization and cloudvirtualization and cloud
virtualization and cloudsankarimsc
 

Similaire à Embracing clouds (20)

How to deploy machine learning models into production
How to deploy machine learning models into productionHow to deploy machine learning models into production
How to deploy machine learning models into production
 
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018
Edge Orchestration & Federated Kubernetes Clusters - Open Networking Summit 2018
 
20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes
20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes
20200113 - IBM Cloud Côte d'Azur - DeepDive Kubernetes
 
Building Microservices in the cloud at AutoScout24
Building Microservices in the cloud at AutoScout24Building Microservices in the cloud at AutoScout24
Building Microservices in the cloud at AutoScout24
 
"Messaging with Quarkus"
"Messaging with Quarkus""Messaging with Quarkus"
"Messaging with Quarkus"
 
"Messaging with Quarkus"
"Messaging with Quarkus""Messaging with Quarkus"
"Messaging with Quarkus"
 
Accelerate Digital Transformation with IBM Cloud Private
Accelerate Digital Transformation with IBM Cloud PrivateAccelerate Digital Transformation with IBM Cloud Private
Accelerate Digital Transformation with IBM Cloud Private
 
S200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001cS200516 copy-data-management-ist2020-v2001c
S200516 copy-data-management-ist2020-v2001c
 
How Cloud Service Providers (CSPs) can grow their business with IBM Cloud
How Cloud Service Providers (CSPs) can grow their business with IBM CloudHow Cloud Service Providers (CSPs) can grow their business with IBM Cloud
How Cloud Service Providers (CSPs) can grow their business with IBM Cloud
 
IBM Cloud Kubernetes Serviceで使うコンテナ環境
IBM Cloud Kubernetes Serviceで使うコンテナ環境IBM Cloud Kubernetes Serviceで使うコンテナ環境
IBM Cloud Kubernetes Serviceで使うコンテナ環境
 
Achieving scalability & speed with IaaS
Achieving scalability & speed with IaaSAchieving scalability & speed with IaaS
Achieving scalability & speed with IaaS
 
Using Grid Technologies in the Cloud for High Scalability
Using Grid Technologies in the Cloud for High ScalabilityUsing Grid Technologies in the Cloud for High Scalability
Using Grid Technologies in the Cloud for High Scalability
 
Highway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup MunichHighway to heaven - Microservices Meetup Munich
Highway to heaven - Microservices Meetup Munich
 
Cloud Run - the rise of serverless and containerization
Cloud Run - the rise of serverless and containerizationCloud Run - the rise of serverless and containerization
Cloud Run - the rise of serverless and containerization
 
From Zero to still Zero: The most beautiful mistakes going into the cloud.
From Zero to still Zero: The most beautiful mistakes going into the cloud. From Zero to still Zero: The most beautiful mistakes going into the cloud.
From Zero to still Zero: The most beautiful mistakes going into the cloud.
 
Create Secure Test and Dev Environments in the Cloud
Create Secure Test and Dev Environments in the CloudCreate Secure Test and Dev Environments in the Cloud
Create Secure Test and Dev Environments in the Cloud
 
Cloud Computing Business Model
Cloud Computing Business ModelCloud Computing Business Model
Cloud Computing Business Model
 
CLOUD COMPUTING
CLOUD COMPUTINGCLOUD COMPUTING
CLOUD COMPUTING
 
virtualization and cloud
virtualization and cloudvirtualization and cloud
virtualization and cloud
 
use case ibm k8s_service+devops
use case ibm k8s_service+devopsuse case ibm k8s_service+devops
use case ibm k8s_service+devops
 

Plus de Andrew Yongjoon Kong

Nightmare with ceph : Recovery from ceph cluster total failure
Nightmare with ceph : Recovery from ceph cluster total failureNightmare with ceph : Recovery from ceph cluster total failure
Nightmare with ceph : Recovery from ceph cluster total failureAndrew Yongjoon Kong
 
Stream analysis with kafka native way and considerations about monitoring as ...
Stream analysis with kafka native way and considerations about monitoring as ...Stream analysis with kafka native way and considerations about monitoring as ...
Stream analysis with kafka native way and considerations about monitoring as ...Andrew Yongjoon Kong
 
Graph analysis platform comparison, pregel/goldenorb/giraph
Graph analysis platform comparison, pregel/goldenorb/giraphGraph analysis platform comparison, pregel/goldenorb/giraph
Graph analysis platform comparison, pregel/goldenorb/giraphAndrew Yongjoon Kong
 

Plus de Andrew Yongjoon Kong (6)

Tunnel without tunnel
Tunnel without tunnelTunnel without tunnel
Tunnel without tunnel
 
Nightmare with ceph : Recovery from ceph cluster total failure
Nightmare with ceph : Recovery from ceph cluster total failureNightmare with ceph : Recovery from ceph cluster total failure
Nightmare with ceph : Recovery from ceph cluster total failure
 
Stream analysis with kafka native way and considerations about monitoring as ...
Stream analysis with kafka native way and considerations about monitoring as ...Stream analysis with kafka native way and considerations about monitoring as ...
Stream analysis with kafka native way and considerations about monitoring as ...
 
Graph analysis platform comparison, pregel/goldenorb/giraph
Graph analysis platform comparison, pregel/goldenorb/giraphGraph analysis platform comparison, pregel/goldenorb/giraph
Graph analysis platform comparison, pregel/goldenorb/giraph
 
Cloud data center and openstack
Cloud data center and openstackCloud data center and openstack
Cloud data center and openstack
 
Openstack dev on
Openstack dev onOpenstack dev on
Openstack dev on
 

Dernier

Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...
Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...
Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...roncy bisnoi
 
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting High Prof...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting  High Prof...VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting  High Prof...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting High Prof...singhpriety023
 
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...Delhi Call girls
 
Nanded City ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready ...
Nanded City ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready ...Nanded City ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready ...
Nanded City ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready ...tanu pandey
 
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋nirzagarg
 
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrStory Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrHenryBriggs2
 
Microsoft Azure Arc Customer Deck Microsoft
Microsoft Azure Arc Customer Deck MicrosoftMicrosoft Azure Arc Customer Deck Microsoft
Microsoft Azure Arc Customer Deck MicrosoftAanSulistiyo
 
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency""Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency"growthgrids
 
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
20240510 QFM016 Irresponsible AI Reading List April 2024.pdfMatthew Sinclair
 
在线制作约克大学毕业证(yu毕业证)在读证明认证可查
在线制作约克大学毕业证(yu毕业证)在读证明认证可查在线制作约克大学毕业证(yu毕业证)在读证明认证可查
在线制作约克大学毕业证(yu毕业证)在读证明认证可查ydyuyu
 
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdf
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdfpdfcoffee.com_business-ethics-q3m7-pdf-free.pdf
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdfJOHNBEBONYAP1
 
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...tanu pandey
 
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋nirzagarg
 
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...SUHANI PANDEY
 
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...SUHANI PANDEY
 
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...SUHANI PANDEY
 
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 
Real Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtReal Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtrahman018755
 
20240507 QFM013 Machine Intelligence Reading List April 2024.pdf
20240507 QFM013 Machine Intelligence Reading List April 2024.pdf20240507 QFM013 Machine Intelligence Reading List April 2024.pdf
20240507 QFM013 Machine Intelligence Reading List April 2024.pdfMatthew Sinclair
 

Dernier (20)

Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...
Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...
Call Girls Sangvi Call Me 7737669865 Budget Friendly No Advance BookingCall G...
 
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting High Prof...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting  High Prof...VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting  High Prof...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 9905417584 Starting High Prof...
 
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...
Hire↠Young Call Girls in Tilak nagar (Delhi) ☎️ 9205541914 ☎️ Independent Esc...
 
Nanded City ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready ...
Nanded City ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready ...Nanded City ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready ...
Nanded City ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready ...
 
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Bilaspur Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
 
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrStory Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
Story Board.pptxrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr
 
Microsoft Azure Arc Customer Deck Microsoft
Microsoft Azure Arc Customer Deck MicrosoftMicrosoft Azure Arc Customer Deck Microsoft
Microsoft Azure Arc Customer Deck Microsoft
 
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency""Boost Your Digital Presence: Partner with a Leading SEO Agency"
"Boost Your Digital Presence: Partner with a Leading SEO Agency"
 
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
 
在线制作约克大学毕业证(yu毕业证)在读证明认证可查
在线制作约克大学毕业证(yu毕业证)在读证明认证可查在线制作约克大学毕业证(yu毕业证)在读证明认证可查
在线制作约克大学毕业证(yu毕业证)在读证明认证可查
 
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdf
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdfpdfcoffee.com_business-ethics-q3m7-pdf-free.pdf
pdfcoffee.com_business-ethics-q3m7-pdf-free.pdf
 
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...Pune Airport ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready...
Pune Airport ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready...
 
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
💚😋 Salem Escort Service Call Girls, 9352852248 ₹5000 To 25K With AC💚😋
 
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...
Wadgaon Sheri $ Call Girls Pune 10k @ I'm VIP Independent Escorts Girls 80057...
 
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
VVIP Pune Call Girls Sinhagad WhatSapp Number 8005736733 With Elite Staff And...
 
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...
VIP Model Call Girls NIBM ( Pune ) Call ON 8005736733 Starting From 5K to 25K...
 
Low Sexy Call Girls In Mohali 9053900678 🥵Have Save And Good Place 🥵
Low Sexy Call Girls In Mohali 9053900678 🥵Have Save And Good Place 🥵Low Sexy Call Girls In Mohali 9053900678 🥵Have Save And Good Place 🥵
Low Sexy Call Girls In Mohali 9053900678 🥵Have Save And Good Place 🥵
 
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Pollachi 7001035870 Whatsapp Number, 24/07 Booking
 
Real Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirtReal Men Wear Diapers T Shirts sweatshirt
Real Men Wear Diapers T Shirts sweatshirt
 
20240507 QFM013 Machine Intelligence Reading List April 2024.pdf
20240507 QFM013 Machine Intelligence Reading List April 2024.pdf20240507 QFM013 Machine Intelligence Reading List April 2024.pdf
20240507 QFM013 Machine Intelligence Reading List April 2024.pdf
 

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