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Cloud Computing. Agenda. Overview Popular Definitions Deployment Models Delivery Models – IaaS, PaaS, SaaS NoSQL Vendor Lock-in Security Concerns. What is Cloud Computing?. Cloud Computing Overview. Sharing Resources Abstraction of Software Development Details Scalability

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Presentation Transcript
  • Overview
  • Popular Definitions
  • Deployment Models
  • Delivery Models – IaaS, PaaS, SaaS
  • NoSQL
  • Vendor Lock-in
  • Security Concerns
cloud computing overview
Cloud Computing Overview
  • Sharing Resources
  • Abstraction of Software Development Details
  • Scalability
  • High Processing Power
  • Reliability / Availability
  • Pay – as – you – use
  • Peak load performance
  • Simplified maintenance:
definition ossm
Definition : OSSM
  • On-demand: the server is already setup and ready to be deployed
  • Self-service: customer chooses what they want, when they want it
  • Scalable: customer can choose how much they want and ramp up if necessary
  • Measureable: there's metering/reporting so you know you are getting what you pay for
definition 5 3 4
Definition : 5 – 3 – 4
  • 5 Basic Characteristics
    • On-Demand
    • Ubiquity – (irrespective of location, app should be accessible)
    • Location Independent Resource Pooling
    • Elasticity
    • Pay per Use
  • 3 Delivery Models
    • IaaS
    • PaaS
    • SaaS
  • 4 Deployment Models
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud
    • Community Cloud
public cloud
Public Cloud
  • Most standard Cloud Computing Model
  • Same infrastructure/resources are to be used by other tenants/businesses
  • Vendor makes Hardware/Software available as services over internet
  • Pay per use pricing model
  • No CAPEX, Only OPEX
  • No wasted resources, pay only for what you use
  • Examples : Amazon EC2, IBM Blue Cloud, GAE, Azure
private cloud
Private Cloud
  • Not truly a cloud
  • High CAPEX
  • Rather, cloud like on-premise infrastructure with horizontal scalability,availability,etc
  • Or off-shore infrastructure behind a corporate firewall
  • Maintenance can still be outsourced
  • Concerns of Security are minimized
  • More control over data
  • Examples : Amazon EC2 &S3(Simple Storage Service)
hybrid cloud
Hybrid Cloud
  • Composition of atleast one Private Cloud and atleast one Public Cloud
  • All the involved clouds maybe provided by the same or different vendors
  • Allows scalability of Public Cloud, without exposing sensitive data
  • Use Case :
      • Archived Data on Public Cloud, Operational Data on Private Cloud
delivery models
Delivery Models

IaaS PaaS SaaS

iaas infrastructure as a service1
IaaS (Infrastructure as a Service)
  • On Demand Storage & Processing - Computing as a Service
  • Hardware, its Software, Electricity, Cooling, Connectivity all managed by Vendor
  • Pay-as-you-go
  • Difference between Shared Hosting v/s Cloud Infrastructure
  • Flexible
iaas contd
IaaS… (contd…)
  • Provides infrastructure management tools.
  • Vendors : Amazon EC2, Rackspace, etc
  • Tools are available to monitor performance, peak load conditions, etc
  • Scaling, Monitoring , etc are still a responsibility of the Service Buyer
how to choose an iaas vendor
How to choose an IaaS Vendor?
  • Support – Email, Phone, 24 x 7?
  • Hardware, its configuration and Performance
  • Partnership with Middleware Vendors
    • Eg: Amazon EC2 has partnered with IBM,Microsoft,RedHat, Oracle,etc.
  • Licensing
    • Windows Licences cannot be migrated from local data center to Cloud
    • IBM Websphere not available with EC2
paas platform as a service1
PaaS (Platform as a Service)
  • A platform to develop applications that can be deployed on the cloud
  • Framework / Platform is hosted on the Cloud
  • Development language and platform is vendor decided
  • Infrastructure management by Vendor
  • Scalability and management is provided by the Vendor
  • No Licensing hassles
  • Vendors:, Google App Engine, Microsoft Azure, Heroku
  • Drawback : Vendor Lock in
force com :
  • Very easy to use Web Interface to create a web application
  • Code generation, compilation, deployment, etc happens on servers
  • Also has Eclipse Plugin based development
  • Asks for credentials
  • Code compilation and deployment happens on servers, seamlessly
  • Development in Apex(Dev) and VisualForce (UI)
  • Supports Agile
  • Development, deployment, scaling
  • Heroku’s Ruby Platform lies on AWS
  • Used by Facebook for scaling and application development
  • Dev Languages : Ruby on Rails, Java
  • Now acquired by
google app engine gae
Google App Engine (GAE)
  • SDK for Java and Python
  • Provides Eclipse Plugin
  • Big Table DataStore
  • Simple App Configuration
  • Automatic Scaling, No performance Tuning is required
    • Quotas - request count, bandwidth usage, CPU usage, datastore call count, disk space used, emails sent, even errors!
windows azure
Windows Azure
  • Windows Azure Tools for Visual Studio
  • Technology Stack and Tools :
    • Azure tools for Visual Studio
    • Azure SDK
    • Visual Web Developer (replacement for Visual Studio)
    • ASP.NET MVC3 (framework)
    • IIS
windows azure stack
Windows Azure Stack
  • Windows Azure – Cloud OS as a Service
  • 5 Services – Live Services, SQL Azure, AppFabric, Sharepoint, Dynamic CRM
  • SQL Azure – Cloud based SQL Server
  • Azure AppFabric – Collection of Services (Caching,Service Bus,Integration)
  • Azure Platform Alliance (non-MS Datacenters)
azure development platform
Azure Development Platform
  • ASP.NET Framework
  • PHP
  • SDKs for Java and Ruby help integrate with AppFabric Services
saas software as a service1
SaaS (Software as a Service)
  • Enterprise Application without installation overhead
  • Applications that are available to be used over the internet
  • Pay per user Account
  • Scalable to multiple users and tenants
  • Applications like, Gmail,Google Apps,etc
problems with traditional databases for cloud
Problems with traditional Databases for cloud
  • Big Data - Big data are datasets that grow so large that they become awkward to work with using on-hand database management tools
  • Difficulties include capture, storage, search, sharing, analytics, and visualizing of vast data
  • Can service heavy read/write workloads
  • Usually Avoid Join Operations
  • Scale Horizontally
  • Works well even with cheap commodity servers
  • Flexible – Schema changes are easy to make
  • Examples : Big Table, Mongo DB, Hadoop, Cassandra, Amazon SimpleDB
nosql challenges
NoSQL - Challenges
  • Quota limits
    • Max 1000 records per query
    • Query times out in 5 seconds
  • Maturity – Nascent compared to RDBMS
  • Support – Mostly Open Source. Support driven by startups with no true global reach
  • Administration – Installation & Maintenance skill is not easily available
  • Expertise – Not easily unavailable, which is unacceptable to businesses
vendor lock in
Vendor Lock-in
  • Definition – Stuck with 1 vendor because of complexity to move to another vendor
  • Scenarios to move out of a Cloud Vendor:
      • Cost
      • Shut Down of Services
      • New choice of Services offered by another Vendor
  • How to avoid/minimize vendor lock-in chances?
      • While architecting your app, ensure vendor-specific services are judiciously used
      • Evaluate Options
      • Check ROI
      • Read about upcoming features/services
vendor lock in1
Vendor Lock-In
  • IaaS
    • Less lock-in
    • Data Migration is of moderate difficulty
  • PaaS
    • Tightly coupled to vendor
    • Migration to another vendor may require re-engineering the application
security in cloud computing
Security in Cloud Computing
  • Issues:
      • Data Integrity
      • Recovery
      • Network security
      • Access and Authentication procedures
      • Data encryption techniques
      • Tenant isolation
  • Most issues are now controlled or resolved
  • Still considered unsafe for Financial data
uncertainty of load
Uncertainty of Load
  • Zynga has both Private and Public Cloud services at disposal
  • New Game launches on Public Cloud
  • When usage is stabilized, then migrated to Private Cloud
short term usage
Short-Term Usage
  • Seasonal Apps
  • Event Websites
  • OCR to Doc Conversion
  • Completely out of Cloud
  • Highly fluctuating usage of large multimedia data
  • Across different geographical locations
  • Speedy Access
limitations of cloud computing
Limitations of Cloud Computing
  • Connectivity is mandatory
  • Security
  • Skills – Development and Administration
  • Network Bandwidth
  • Not suitable for all businesses