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Session Goals
Get the audience familiar with the concept of cloud
Explain the different terminology used in the eco system
Talk about the different technologies forming today’s cloud
infrastructure
Talk about the different use cases, vendors, service providers
and challenges in the eco system
Introducing the audience with OpenStack and its components,
and go deep into the technology
Agenda
Introduction to Cloud computing
Speak briefly about the underlying technology
Go over the various cloud service models and deployments
Review the current challenges in the cloud era
Introduction to OpenStack
Deep dive into OpenStack projects and Technology
Cloud ? It’s all around you !
Definition Of Cloud Computing
Cloud computing, also known as 'on-demand computing', is a kind of
Internet-based computing, where shared resources, data and
information are provided to computers and other devices on-
demand.
It is a model for enabling ubiquitous, on-demand access to a shared
pool of configurable computing resources
Why Cloud Computing ?
Reduced IT cost – high costs due to high server performance (low average
server capacity usage – 15%)
Avoidance of Capex
Reduction of data center energy consumption
Meet compliance requirements (data protection, security, data center
access)
Flexible data center usage (scale up when need)
Potential cost saving with cloud computing – 50-90%.
Data Center Virtualization
Foundation of cloud computing – not cloud by itself
All resources are virtualized mainly compute, storage and
network
Provides security and availably
Cloud usually manage one or more virtualized data-centers
Not self service
Basic Virtualization Concepts
Live migration
Storage v-motion
Cloning
Snapshotting
Shared storage
The Characteristics Of A Cloud
Massive scale
Agility  Elasticity
Abstraction
Automation
Infinite capacity
Converged API’s
Quick provisioning of resources
On demand service
Metering (billing)
Pay as you go
What makes something a “Cloud” ?
Cloud Brings New Approach
Cloud Deployment Models
Public cloud
Private cloud
Hybrid cloud
Public Vs. Private Clouds
(Cattle VS. Pets)
Public Cloud
Cloud infrastructure is provisioned
for open use by the general public
Exists both on / off premise
Multi-tenancy
Support massive scalability
Disaster recovery  quick SLA
Pay as you go model
Private Cloud
Created and owned by a single
organization  business
Must exists on premise
Single tenancy
Limited scalability
Security / control / privacy
Owns the service (maintain!)
Hybrid Cloud
Different cloud types combined
Typically the base load is covered by a private
cloud, load bursts handled by a public cloud
computing resources (cloud bursting, pay-as-
you-go cost model).
Cloud Service Models
Layered approach (abstraction)
IaaS – Infrastructure as a service (Sys Admins)
PaaS – Platform as a service (Developers)
SaaS – Software as a service (End Users)
IaaS – Definition
Foundation of the cloud infrastructure
Provides storage, network and compute resources on demand
Used mainly by sys admins
Use cases:
Get me a virtual machine running (or 1000 of them!)
Provision a storage device or a network infrastructure
Service providers: AWS, Rackspace
Underlying technology: OpenStack, AWS, Microsoft Azure
IaaS – Example
Rackspace Public  Private cloud services
AWS AWS cloud computing platform
DropBox Simple storage device
PaaS – Definition
Provide platform on demand
Used mainly by developers
Use cases:
I need a database instance running
I need a web application running
I want to deploy my application
Service providers: Google App Engine, Microsoft Azure,
Underlying technology: AWS, OpenShift
PaaS – Example
OpenShift Application hosting platform
CloudBees Development and hosting platform
Google App Engine
Build and run applications on
Google’s infrastructure.
SaaS – Definition
Provide software services on demand
Used mainly by users
Use cases:
Access my mail account
Access my files hosted on the cloud
View and download my photos
Service providers: GMAIL, DropBox, Google Docs, ICloud
Underlying technology: AWS
Office 365 MS office collaboration tool
Salesforce Cloud based CRM
NETSUITE Cloud based ERP
SaaS – Example
Applications
Data
Run Time
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Run Time
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Run Time
Middleware
OS
Virtualization
Servers
Storage
Networking
Applications
Data
Run Time
Middleware
OS
Virtualization
Servers
Storage
Networking
ITManaged
ITManaged
CloudProvider
Managed
ITManaged
CloudProvider
Managed
CloudProvider
Managed
Deployment
Configuration
Scheduling
Performance
Monitor
Fault & Logging
Billing
Analytical Transactional Interacticve Browsing
ApplicationsManagement
Server Storage Network
Physical Resource
Server
Virtualization
Storage
Virtualization
Network
Virtualization
Virtual Resource
Web Server App Server Reporting DW
Applications Capable Components
AppPlatformResource
Cloud Architecture
Cloud Underlying Technologies
SDN – software define network
SDS - Software define storage
Compute (hypervisor)
Storage virtualization  tiering
Instance  virtual machine
Image  disk
Ephemeral storage
Shared storage
Distributed file system
Flavors
Big Data (Hadoop)
Challenges - Admins
Content management
Security  Lack of control
Storage span
High availability  redundancy
Monitoring  troubleshooting
Lack of standardization
Challenges - Users
Where is my data ?
Is my data secured ?
Who owns my data ?
Too many interfaces  services
Shifting technologies
The End
Haim Ateya
Group Manager, Quality Assurance, EMC
Email: haim.ateya@emc.com
LinkedIn: https://il.linkedin.com/in/haim-ateya-82b0b68

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A Journey To The Cloud - An Introduction To Cloud Computing

  • 1.
  • 2. Session Goals Get the audience familiar with the concept of cloud Explain the different terminology used in the eco system Talk about the different technologies forming today’s cloud infrastructure Talk about the different use cases, vendors, service providers and challenges in the eco system Introducing the audience with OpenStack and its components, and go deep into the technology
  • 3. Agenda Introduction to Cloud computing Speak briefly about the underlying technology Go over the various cloud service models and deployments Review the current challenges in the cloud era Introduction to OpenStack Deep dive into OpenStack projects and Technology
  • 4. Cloud ? It’s all around you !
  • 5. Definition Of Cloud Computing Cloud computing, also known as 'on-demand computing', is a kind of Internet-based computing, where shared resources, data and information are provided to computers and other devices on- demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources
  • 6. Why Cloud Computing ? Reduced IT cost – high costs due to high server performance (low average server capacity usage – 15%) Avoidance of Capex Reduction of data center energy consumption Meet compliance requirements (data protection, security, data center access) Flexible data center usage (scale up when need) Potential cost saving with cloud computing – 50-90%.
  • 7. Data Center Virtualization Foundation of cloud computing – not cloud by itself All resources are virtualized mainly compute, storage and network Provides security and availably Cloud usually manage one or more virtualized data-centers Not self service
  • 8. Basic Virtualization Concepts Live migration Storage v-motion Cloning Snapshotting Shared storage
  • 9. The Characteristics Of A Cloud Massive scale Agility Elasticity Abstraction Automation Infinite capacity Converged API’s Quick provisioning of resources On demand service Metering (billing) Pay as you go What makes something a “Cloud” ?
  • 10. Cloud Brings New Approach
  • 11. Cloud Deployment Models Public cloud Private cloud Hybrid cloud
  • 12. Public Vs. Private Clouds (Cattle VS. Pets) Public Cloud Cloud infrastructure is provisioned for open use by the general public Exists both on / off premise Multi-tenancy Support massive scalability Disaster recovery quick SLA Pay as you go model Private Cloud Created and owned by a single organization business Must exists on premise Single tenancy Limited scalability Security / control / privacy Owns the service (maintain!)
  • 13. Hybrid Cloud Different cloud types combined Typically the base load is covered by a private cloud, load bursts handled by a public cloud computing resources (cloud bursting, pay-as- you-go cost model).
  • 14. Cloud Service Models Layered approach (abstraction) IaaS – Infrastructure as a service (Sys Admins) PaaS – Platform as a service (Developers) SaaS – Software as a service (End Users)
  • 15. IaaS – Definition Foundation of the cloud infrastructure Provides storage, network and compute resources on demand Used mainly by sys admins Use cases: Get me a virtual machine running (or 1000 of them!) Provision a storage device or a network infrastructure Service providers: AWS, Rackspace Underlying technology: OpenStack, AWS, Microsoft Azure
  • 16. IaaS – Example Rackspace Public Private cloud services AWS AWS cloud computing platform DropBox Simple storage device
  • 17. PaaS – Definition Provide platform on demand Used mainly by developers Use cases: I need a database instance running I need a web application running I want to deploy my application Service providers: Google App Engine, Microsoft Azure, Underlying technology: AWS, OpenShift
  • 18. PaaS – Example OpenShift Application hosting platform CloudBees Development and hosting platform Google App Engine Build and run applications on Google’s infrastructure.
  • 19. SaaS – Definition Provide software services on demand Used mainly by users Use cases: Access my mail account Access my files hosted on the cloud View and download my photos Service providers: GMAIL, DropBox, Google Docs, ICloud Underlying technology: AWS
  • 20. Office 365 MS office collaboration tool Salesforce Cloud based CRM NETSUITE Cloud based ERP SaaS – Example
  • 21. Applications Data Run Time Middleware OS Virtualization Servers Storage Networking Applications Data Run Time Middleware OS Virtualization Servers Storage Networking Applications Data Run Time Middleware OS Virtualization Servers Storage Networking Applications Data Run Time Middleware OS Virtualization Servers Storage Networking ITManaged ITManaged CloudProvider Managed ITManaged CloudProvider Managed CloudProvider Managed
  • 22. Deployment Configuration Scheduling Performance Monitor Fault & Logging Billing Analytical Transactional Interacticve Browsing ApplicationsManagement Server Storage Network Physical Resource Server Virtualization Storage Virtualization Network Virtualization Virtual Resource Web Server App Server Reporting DW Applications Capable Components AppPlatformResource Cloud Architecture
  • 23. Cloud Underlying Technologies SDN – software define network SDS - Software define storage Compute (hypervisor) Storage virtualization tiering Instance virtual machine Image disk Ephemeral storage Shared storage Distributed file system Flavors Big Data (Hadoop)
  • 24. Challenges - Admins Content management Security Lack of control Storage span High availability redundancy Monitoring troubleshooting Lack of standardization
  • 25. Challenges - Users Where is my data ? Is my data secured ? Who owns my data ? Too many interfaces services Shifting technologies
  • 26.
  • 27. The End Haim Ateya Group Manager, Quality Assurance, EMC Email: haim.ateya@emc.com LinkedIn: https://il.linkedin.com/in/haim-ateya-82b0b68