LESSONS LEARNED – BUILDING PAYPAL CLOUD
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Chinmay Naik Lead Software Engineer, Cloud Engineering Anand Palanisamy Manager, Software Development, Cloud Engineering (OpenStack Summit – Hong Kong – 2013) LESSONS LEARNED – BUILDING PAYPAL CLOUD
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LESSONS LEARNED – BUILDING PAYPAL CLOUD. Chinmay Naik Lead Software Engineer, Cloud Engineering Anand Palanisamy Manager, Software Development, Cloud Engineering ( OpenStack Summit – Hong Kong – 2013). About paypal. 137,000,000 Users. - PowerPoint PPT Presentation
Transcript of LESSONS LEARNED – BUILDING PAYPAL CLOUD
Chinmay Naik Lead Software Engineer, Cloud Engineering
Anand Palanisamy Manager, Software Development, Cloud Engineering
(OpenStack Summit – Hong Kong – 2013)
LESSONS LEARNED – BUILDING PAYPAL CLOUD
Confidential and Proprietary2
137,000,000 Users.
$300,000 Payments processed by PayPal each minute.
193 markets / 26 currencies.
PayPal is the World’s Most Widely Used Digital Wallet.
ABOUT PAYPAL
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Challenges we are trying to address
Why OpenStack has emerged as a problem solver ?
Getting Openstack ready for production primetime
Success stories
STRUCTURE OF THE PRESENTATION
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WHAT ARE WE TRYING TO SOLVE ?
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Seamless On-Demand Infrastructure Capacity
Do we really want those hundred tickets to deploy a service ?
Drive developer agility
Provide self-service tool for application life cycle mgmt
Provide a platform to enable faster innovation.
SOME OF OUR CHALLENGES
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WHO WILL GET US THERE ?
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Solves Infrastructure-as-a-Service
Its open source
No specific vendor lock-ins
Fast growing developer community
Open standards and api driven
Industry best practices, prevent reinventing the wheel
OPENSTACK IS THE WINNER
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OPEN SOURCE CANNOT ALWAYS BE USED OFF THE SHELF
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OUR TECHNOLOGY STACK
Operations PortalAsgard, Horizon, Ceilometer
PD Deployment Portal
Orchestration Engine Cloud Formation (Heat)
Nova, Cinder, Swift, Keystone, Neutron, Horizon
CobblerISC DHCP
Salt Bind RHEL 6.x Hypervisor Zabbix
x86 Compute Local Storage Network Load Balancer
User Interface
Orchestration
Foundational Services
Software Infrastructure
Hardware Infrastructure
Traffic Mgmt Monitoring Metering Stages Workflow Monitoring
LBaaS, DNSaaS FWaaS
PP Specific
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Scheduling enhancements for failure and availability domains Custom PayPal filter scheduler
Tenant based Compute Zone filters with Folsom
Host Aggregate filtering in Grizzly
25% distribution among different fault zone for HA
TUNING NOVA FOR HIGH AVAILABILITY
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Instance host naming uniqueness
Auto assigning floating IPs to VMs
Rack aware networking
Leveraging config-drive
Nova conductor - security vs. load on rabbit
NOVA CHANGES
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Integrating keystone with LDAP
Auto tenancy feature
Tenant based hostnames & dns zones
Client side token caching
Team admin feature
KEYSTONE CHANGES
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Automatic
Project based zones
Floating IPs
DNS-AS-A-SERVICE INTEGRATION
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Registration and auto discovery
Rich tenant and operator facing apis
Propagating changes to multiple LBs
Change Management Integration
LOAD BALANCER-AS-A-SERVICE
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OTHER SUCCESS STORIES
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Ease of use
Adoption
Multi Version
Multi Region
USER EXPERIENCE
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USER INTERFACE SCREEN SHOTS
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USER INTERFACE SCREENSHOTS
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Devstack != Production
Keeping up with trunk
Single keystone service
Performance & Scalability
Error Handling
DEPLOYMENT PAIN POINTS
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http://www.123rf.com/
http://www.trashionista.com/
http://www.coreytowe.com/
http://www.birst.com/
COURTESIES FOR IMAGES USED
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THANK YOU
