More Related Content Similar to The Ever Changing Cloud, CloudExpo 2012 Similar to The Ever Changing Cloud, CloudExpo 2012 (20) More from Lew Tucker (15) 1. Lew Tucker,
VP/CTO Cloud Computing
Cisco Systems, Inc.
@letucker
© 2010 Cisco and/or its affiliates. All rights reserved. 1
2. • Growth of internet usage
• Broadband
• Video, voice over IP
• Mobile and Wireless
• Anytime, any device
• Smart, IP-connected devices
• Technology tipping point
• Moore’s Law driving down costs
• Everything becoming digital
• Explosion in applications and data
© 2010 Cisco and/or its affiliates. All rights reserved. 2
3. © 2010 Cisco and/or its affiliates. All rights reserved. 3
4. • Social data and real-time processing of data streams
• Customer buying behavior
• Recommendations from social network
• Wall street market feeds analyzed in real-time decision making systems
• Complex event processing (CEP)
• System and Network operational data
• Dynamic resource allocation
• Scale up/down services
• Re-route traffic
• Data storage models are changing
• Object Store
• NoSQL alternatives
• In-memory databases, caching, SSD’s
© 2010 Cisco and/or its affiliates. All rights reserved. 4
5. • Data center traffic between servers within the data
center is much larger than that which leaves it
• Edge of the network has moved onto servers in the
form of virtual switches connected to virtual machines
• Networking services such as firewalls, load
balancers, vpn’s, may be virtualized and deployed
anywhere in the network
• Virtual overlays, tunnels, provide logical, isolated
sub-networks in a multi-tenant shared environment
© 2010 Cisco and/or its affiliates. All rights reserved. 5
6. Gordon Moore Adam Smith
© 2010 Cisco and/or its affiliates. All rights reserved. 6
8. Distributed Fabric Based Application Driven
Virtual
Machines Monitoring Provisioning Networking End-User
Apps Apps Apps Apps
Programmable Provisionable
Fabric
L2,
Compute Compute Storage Storage Services Services
L3
L2,
Compute Compute Storage Storage Services Services
L3
Integrated Fabric & Cloud
• Policy-based Provisioning
World of Many Clouds
• Scale Physical & Virtual/Cloud
• Manual Provisioning • DC-wide/Cross-DC VM Mobility • Service-centric Provisioning
• Limited scaling • Flexible – Anywhere, Anytime
• Rack-wide VM mobility • Cross-cloud VM Mobility
© 2010 Cisco and/or its affiliates. All rights reserved. 8
9. App
API’s Orchestration
Cloud
Computing Elastic
Software Defined
Computing
Networking
DevOps
Network
Virtualization
© 2010 Cisco and/or its affiliates. All rights reserved. 9
10. Applications are “stove-pipes” with poor utilization
Corp Mktg Finance Engineering HR
App App App App App App App
OS OS OS OS OS OS OS
Physical Physical Physical Physical Physical Physical Physical
Server Server Server Server Server Server Server
DB DB DB Storage DB DB
Poor Utilization Inflexible Infrastructure
© 2010 Cisco and/or its affiliates. All rights reserved. 10
11. Corp Mktg Finance Engineering HR
App App App App App App App
OS OS OS OS OS OS OS
Virtual Virtual Virtual Virtual Virtual Virtual Virtual
Machine Machine Machine Machine Machine Machine Machine
API-driven services Self-service portal Application Orchestration
Cloud Infrastructure Service
Managing a pool of shared resources
Physical
Server Physical DB Service Queue
Server Storage
Storage
Physical
Server
Physical
Server
© 2010 Cisco and/or its affiliates. All rights reserved. 11
12. What we can learn from
Internet Companies
Enterprise Web
Approach Approach
Vertical scaling Scale-out
Architecture
HA failover model
Design for Failure
Transactional
Infrastructure
Application pools instead of
specific islands
Infrastructure
Management
Commercial through software
Software
Open Source
Innovation and SCALE
© 2010 Cisco and/or its affiliates. All rights reserved. 12
13. Open Source Is Where “Standard” Cloud
Infrastructure Will Be Defined
Open standards [require] multiple
providers, access to code and
data, and interoperability of services.
The obvious solution is an open
source reference model as the
standard.
Potential examples of such would be
the OpenStack effort.
-Simon Wardley
From “A Question of Standards”
http://blog.gardeviance.org/2011/04/question-of-standards.html
© 2010 Cisco and/or its affiliates. All rights reserved. 13
14. • OpenStack is open source software for building highly scalable public
and private clouds
• Started in July 2010 - initial contributions from NASA and Rackspace,
now foundation-led with over 180 companies now participating
User Portal
Developer API Developer API
Identity/Authenticati
VM Image Catalog
on
Developer API Developer API Developer API
Compute Networking Storage
(VM provisioning) (Virtual, Physical) (Object, Block)
© 2010 Cisco and/or its affiliates. All rights reserved. 14
15. Participating Companies
200
180
160
140
120
100
80
60
40
20
0
Launch Austin Bexar Cactus Diablo Essex 2 Year
Anniversary
© 2010 Cisco and/or its affiliates. All rights reserved. 15
16. © 2010 Cisco and/or its affiliates. All rights reserved. 16
17. © 2010 Cisco and/or its affiliates. All rights reserved. 17
18. © 2010 Cisco and/or its affiliates. All rights reserved. 18
19. © 2010 Cisco and/or its affiliates. All rights reserved. 19
20. Application Virtual Storage IP NGN
VSwitch Compute Access Aggregation Core Peering
Software Machine and SAN Backbone
App
App
OS
App
OS
OS
Virtual Device
Contexts
Fabric-Hosted
Internet
App
App
Storage Firewall Virtual Device
App
OS
OS
Virtualization Services Contexts
OS
Storage Media Secure
App
App Encryption Domain
App
OS
OS
Routing
OS
IP NGN
Service
Profiles
Port Profiles
Virtual and VN-Link
Machine Global Site Line-Rate
Optimization Selection NetFlow
Fibre Channel
Forwarding Partners
Port Profiles Intrusion
and VN-Link Detection
Fabric
App Extension
App
App
OS
OS
Application
OS Control (SLB+) 10G Ethernet
10G FCoE
Service 4G FC
Control 1G Ethernet
App
VM to vSwitch
App
OS Virtual
App
OS Contexts for vSwitch to HW
OS
FW and SLB App to HW / VM
Applications VMWare Nexus 1000v MDS 9000 + UCS, MCS 7800 Nexus 5000 Nexus 7000 Nexus 7000 CRS-1 CRS-1
Xen Consolidated (or Generic w/ Nexus 2000 (w/ Cat 6500 7600 ASR 9000
Hyper-V Storage Arrays Rack or Fabric Extender as Services 6500 ASR 1000
(EMC, etc.) Blade Servers) Chassis) 7600
© 2010 Cisco and/or its affiliates. All rights reserved. 20
21. © 2010 Cisco and/or its affiliates. All rights reserved. 21
22. • Compute service (EC2): virtual machines
App Svr
• Specify vCPU, Memory, Disk OS
• Launch instance (image, mem_size, disk) VM
• Suspend, clone, migrate
• Storage service (S3, EBS): virtual disks
• Specify storage amount, access rights
• Store object
• Create/attach block
• What to do about networks?
© 2010 Cisco and/or its affiliates. All rights reserved. 22
23. • Compute service (EC2): virtual machines
• Launch instance (image, mem_size, disk) App Svr
• Suspend, clone, migrate OS
VM
• Storage service (S3, EBS): virtual disks
• Store object
• Create/attach block
• Network service (Quantum): virtual networks App Svr App Svr
OS OS
• Create/delete private network VM VM
• Attach VM to network resource
• Maintain compatibility with Nova networking model
• Work with different networking environments
• Add support over time
• Routing
• IP address management
• Service attachment
© 2010 Cisco and/or its affiliates. All rights reserved. 23
24. Plug-in architecture to support different networking
infrastructure and technologies
Quantum API API Extensions
Quantum Service
Quantum Plug-in API
Cisco Cloud Networking Plug-In
UCS MGR, Nexus, NSM Cisco ONE API’s
Cisco Infrastructure Products
• Nexus 1k/7k
• Unified Computing System (via UCS Manager)
• Routing portfolio (e.g. ASR, CRS)
© 2010 Cisco and/or its affiliates. All rights reserved. 24
25. Portal
(Horizon)
Applications Other
Services
Cloud Platform - Developer API
Compute Storage Network Identity
(Keystone)
(Nova) (Swift) (Quantum)
Servers Disks Networks Images
(Glance)
Folsom Release
© 2010 Cisco and/or its affiliates. All rights reserved. 25
26. Customer’s Application Cloud Provider, Network-centric Services
Classic App Mgmt Other
Virtual Virtual Virtual
Networking Services Services
Waas Firewall VPN
Services
API API API
VPN App/Service Video
Catalog Services
API API
API
App App Firewall
Location
Monitoring
OS OS
API
API API
VM VM WAAS Service
Analytics
Assurance
DataBase API API API
Load
OS Identity
Balancer Mobility
Mgmt
VM
OpenStack Cloud Platform Compute Storage Network User and
• Bridges the virtual and physical layers Service Service Service System
Servers Disks Networks Admin
Resource Virtualization/hypervisor Layer
Hypervisor: KVM, Xen, ESX - Nexus 1000v + Open vSwitch
• Creates and manages virtualized
compute, storage and networking resources Network Virtualization: VLAN, OpenFlow, LISP, VXLAN
Physical Resource Layer
• Networking, Storage and Compute resources
• UCS unified systems
© 2010 Cisco and/or its affiliates. All rights reserved. 26
27. Developer and Channel
Support Services
Virtualized Applications and Services Massive Scale Applications
Customer Virtualized NW Mgmt
Applications Services Services Big Data Massive Scale Web
API API Services
API Storage
Firewall
Hadoop Monitoring Services
API
API Load API
Service KeyValue
VDI Balancer Hadoop
Assurance Store Media
NoSQL
Analytics Database AppStore
Software APIs
Cloud Infrastructure as a Service
Network
Compute Storage
as Software APIs
Service Service
aService
SDN Platform
Virtual Network Edge Domain Specific
Virtual Virtualized Virtualized Controllers
Machines Storage Networking SDN
Framework
Traditional Networking OpenFlow API
OverDrive – UCS manager
UCS
© 2010 Cisco and/or its affiliates. All rights reserved. 27
28. Application, “I would like certain resources (of type …)
certain virtual topologies, specific services”
OpenStack Quantum Service
Lower levels provision physical or virtual resources, setup
configuration, and provide information back
“Network-as-a-Service” is very new – still lots to be
• Span multiple data centers? • Best placement of VMs?
• Network security, policies? • Quality of service?
• Notion of a network container? • SLA guarantees?
© 2010 Cisco and/or its affiliates. All rights reserved. 28
29. POLICY Orchestration ANALYTICS
Program
for Harvest
Optimized Network
Experience Intelligence
Network
© 2010 Cisco and/or its affiliates. All rights reserved. 29
30. Massively
Research/ Service
Scalable Cloud Enterprise
Academia Providers
Data Center
Experimental Customize with Automated Policy-based Virtual
OpenFlow/SDN Programmatic provisioning control and workloads, VDI,
components for APIs to provide and analytics to Orchestration of
production deep insight into programmable optimize and security profiles
networks network traffic overlay, Open monetize
Stack service delivery
Network Network Flow Scalable Agile Service Private Cloud
“Slicing” Management Multi-Tenancy Delivery Automation
Diverse Programmability Requirements Across Segments
Most Requirements are for Automation & Programmability
© 2010 Cisco and/or its affiliates. All rights reserved. 30
31. Industry’s Most Comprehensive Networking Portfolio
Hardware + Software Physical + Virtual Network + Compute
Software API’s
1 3
Platform Virtual
APIs Overlays
a
Network
2
onePK Controllers and Open Clouds with
Agents Nexus 1000V
SDN:
- ONE Controller (OpenFlow, onePK)
- OpenFlow Agents
© 2010 Cisco and/or its affiliates. All rights reserved.
www.cisco.com/go/one 31
32. VM VM
VM VM
Logical containers for
VM VM
each application in a VM
multi-tenant cloud
OpenStack OpenStack OpenStack
API-driven Open Compute Networking Storage
Cloud Platform (Nova) (Quantum) (Swift)
Programmable
Platform Network
Infrastructure APIs Services
a Virtual
Controllers Overlays
Firewall, etc.
onePK and Agents
Nexus 1000V
ONE Controller
VXLAN/LISP
(OpenFlow, onePK)
© 2010 Cisco and/or its affiliates. All rights reserved. 32
33. Community Participation Cisco Engineering
• OpenStack Foundation • Cisco OpenStack Edition
Board member • Quantum Plug-ins for
• Code Contributions Cisco networking
across Core services technology
• Focus on Network • UCS systems
Service, Compute • Cisco Intelligent
Service and Automation/orchestration
Dashboard
• Cross Cisco
• HA and automation for collaborations
large scale production
Customers
• Public/private clouds
• Extend cloud model for rapid provisioning of
network services
• Drive innovation through real-world use
cases
© 2010 Cisco and/or its affiliates. All rights reserved. 33
34. OpenStack Design Summit and Conference
San Diego, Oct 15-18
Cisco at OpenStack Summit
OpenStack plays an important role as part of the Cisco Open Network Environment strategy to deliver infrastructure programmability to
application developers in the cloud. This week we are announcing:
• OpenStack Cisco edition: This is a community packaged version of the OpenStack Folsom release with open source components for
production deployments, such as high availability, monitoring, and networking enabled by Cisco using Quantum.
• Integration of Cisco Intelligent Automation for Cloud with OpenStack Cisco edition, Essex, and Folsom through a multi-cloud
accelerator kit: The new multi-cloud accelerator kit extends Cisco Intelligent Automation for Cloud support for OpenStack and provides the
ability to manage multiple virtual environments including Amazon EC2, VMware vCloud, Red Hat RHEV, and Citrix XenServer.
Visit our booth to learn more and see demos:
Visit our webpage: www.cisco.com/go/openstack
• Cisco Intelligent Automation for Cloud
• Automated deployment of OpenStack services using Puppet scripting
• Integration of Nexus 1000V virtual switch with OpenStack Quantum network service
© 2010 Cisco and/or its affiliates. All rights reserved. Visit the Cisco Booth to Learn More 34
© 2012 Cisco and/or its affiliates. All rights reserved.
35. Cisco Intelligent Automation for Cloud
Pre-Built Self-Service Portal and Service Catalog
3rd Party Systems Management
Content Packs Cisco Cloud Portal
Multi-Cloud
Orchestration and Automation
Accelerator Cisco Process Orchestrator
Kit
New! Integration Framework
Cisco
Cisco
3rd Party Network
UCS
Infrastructure Services
Manager
Manager
AWS EC2
Vmware vCloud
© 2010 Cisco and/or its affiliates. All rights reserved. 35
36. Scalable Applications and Services
Cloud File
Streaming Media Mobile App
Storage
Additional Cloud Services and API’s App Orchestration
Cloud Foundry
Elastic Load Ruby on Rails
Scalable DB Multi-media DB
Balancer Platform
Core Cloud Platform Services (e.g. open stack)
Compute Service Storage Service Network Service
Virtualization Layer
Hyper Visor (KVM) Virtual Networks & SDN Virtualized Network Services
System Infrastructure
Servers Networking Storage
© 2010 Cisco and/or its affiliates. All rights reserved. 36
37. • What are the services which will accelerate application
development and deployment?
• Can we achieve the benefits without the complexity?
• What are the important abstractions?
• What is exposed to application developers, what is hidden?
• Specialized processor capabilities, e.g. GPUs?
• Networks, subnets, routing?
• VM Placement, Geographic location, region?
• Access to physical network services (load balancers, firewalls, etc.)?
• How can we allow for future innovation in infrastructure?
© 2010 Cisco and/or its affiliates. All rights reserved. 37
Editor's Notes Cloud computing isn’t so much about fundamentally new technology, but rather a change in the way that it is delivered. What is interesting is that it is driven not only by the advancement of technology, as characterized by Moore’s law (cost performance doubling every 18 months), but also by economics. The market for consumer electronics has driven down the cost of processors, memory, and disk storage such that computing is becoming relatively cheap.Even more interesting is the fact that services like Amazon’s AWS and others are setting a market price for computing. Today an hour computing costs around 10 cents per hour, and the cost to store a gigabyte for a month is around 15 cents. With the new infrastructure-as-a-service delivery model, one can also pay only for what you use and avoid the traditional capital investment corporations have made in IT.Most importantly, from a historical perspective we have for the first time an easily measured, market-determined cost of computing. Cloud computing isn’t so much about fundamentally new technology, but rather a change in the way that it is delivered. What is interesting is that it is driven not only by the advancement of technology, as characterized by Moore’s law (cost performance doubling every 18 months), but also by economics. The market for consumer electronics has driven down the cost of processors, memory, and disk storage such that computing is becoming relatively cheap.Even more interesting is the fact that services like Amazon’s AWS and others are setting a market price for computing. Today an hour computing costs around 10 cents per hour, and the cost to store a gigabyte for a month is around 15 cents. With the new infrastructure-as-a-service delivery model, one can also pay only for what you use and avoid the traditional capital investment corporations have made in IT.Most importantly, from a historical perspective we have for the first time an easily measured, market-determined cost of computing. So what is it about the cloud computing that makes it so much more desirable as a model for how data centers are run? Here we have a simplified model of an enterprise IT organization supporting multiple departments. This same approach works for managed service providers if you imagine the departments are actually different customers or tenants.Watch what happens when the data center grows as more applications are added. As each new application is added, a new system configuration is created consisting of a server, operating system, storage, and the app itself. As more applications are added, the system grows in complexity. There is very little scaling advantage. Because each application setup took getting approval, and months of development, even those apps that are only used occasionally never leave for fear the department wouldn’t ever get the servers back again. This leads to the so-called “server hugging” and the resulting poor utilization and inflexible infrastructure.(While we are showing this for an enterprise, the same holds true for a managed services provider by viewing each application as a different tenant.) As shown in green, the infrastructure service provider is now responsible for provisioning and managing physical resources and running in essence the single “cloud infrastructure application” as a service across all resources. This organization can therefore become very very efficient and almost completely automated, which dramatically reduces their costs.Of course, in a way, all we’ve done is to push the problem of application management up to the individual application owners or another part of the organization. For some organizations, like the engineering department, this is just the way they want it anyway. They would rather manage their applications without interference. For others, this self-service model means they only have to pay for what they use. This makes it possible for them to move more quickly and be less dependent. The need for application management doesn’t go away, but by separating it from the management of the infrastructure, it can be performed in a much more cost effective way.This de-coupling of the application layer from the physical infrastructure, along with self-service and automation is what makes cloud computing so much more cost effective.
