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5_Build and Use Cloud GIS

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  • 1. How to build and use a Cloud GIS Redlands, California March 8 th – 9 th , 2010 Web Mapping for Conservation Organizations Workshop
  • 2. Why Cloud Computing?
    • Cheaper
      • Only pay for what you use when you need it
      • Based on hourly rate
      • Terminate machines when they’re not needed anymore
    • Time to market is shorter than traditional cycle
      • Procure hardware
      • Hardware setup
      • IT setup
      • Software setup
      • Application and Data loading
      • Testing
    Gov 2.0 Ready to use in the cloud
  • 3. Web Mapping for Conservation Organizations Workshop Cloud Computing Types Infrastructure As A Service (IAAS) Platform As A Service (PAAS) Software As A Service (SAAS) Framework API (ex: Azure, Google App Engine) Web Services API (ex: Amazon) Web Browser (ex: YouTube, SalesForce)
  • 4. Amazon Web site tour Gov 2.0
  • 5. ArcGIS For Amazon AMI Demo Gov 2.0
  • 6. Emerging Usage Patterns
    • Based on Amazon Machine Image (AMI), launch a ready to use Amazon Instance
    • Publish Services
    • Small load
    • Single point of failure
    Gov 2.0
  • 7. Emerging Usage Pattern
    • Publish large number of services
    • High Load
    • High Availability
    Gov 2.0
  • 8. Emerging Usage Patterns
    • On Premise system for daily use and editing
    • Cloud is used for publishing
    Gov 2.0 Geodatabase replication Over http/s
  • 9. Amazon Use Case High-Performance Computing Other Costs?
  • 10. Amazon Use Case Web Hosting with Occasional Traffic Spikes Gov 2.0 Other Costs?
  • 11. Setup Costs
    • Before the system is considered up and running for use.
    • Configuration and Verification
      • Software
      • Data
    • Data upload
      • Time Vs Cost
      • EC2 Vs S3
    Gov 2.0
  • 12. Operating Costs
    • Staging Environment
    • Testing
      • Functional
      • Load testing
    • Monitoring
    • Troubleshooting
    Gov 2.0
  • 13. Maintenance Costs
    • Data updates
      • Data upload costs
      • Data Testing and Verification
    • Configuration Changes
      • System capacity
      • System features
    • Managing load changes
    Gov 2.0
  • 14. Example Application Deployment in the Amazon Cloud
    • Hosted components
      • AGS Server w/ 3 services
      • Web Application
    • Hosting requirements
      • High Availability
      • Data updates
    Gov 2.0
  • 15. Example Application Deployment Architecture Gov 2.0 Elastic Load Balancer Amazon S3
  • 16. Example Application Deployment Cost List Gov 2.0 Amazon Service Cost model
    • 3 Instances
      • 2 production
      • 1 staging
    Hourly rate / instance Data In - out / GB Elastic Load Balancer Data In – out / GB 2 EBS drives Hourly rate / GB Data In – out / GB S3 account Hourly rate / GB In - out / GB
  • 17. Project Use Cases DataBasin Cloud Deployment Architecture Gov 2.0 ArcGIS Servers Database Servers Web Servers
  • 18. Project Use Cases Amazon S3 Deployment - Disconnected Cache
    • User ArcGIS Server to create your own Cache
    • Upload to S3 as files
    • Use AGS Server Flex, JS, or Silverlight APIs to point to the cache files
    • Pros:
      • Cheaper
    • Cons:
      • No query on this cache, setup another location for queries
      • Cache completely cooked
    • Example:
      • http://marwa.s3.amazonaws.com/s3cache/s3cache.html
    Gov 2.0
  • 19. ArcGIS Server for Amazon Jumpstart A Professional Services Package
    • Available for users now
    • Users bring their own ArcGIS Server licenses, and their own Amazon account
    • Includes AMIs
      • ArcGIS Server .Net 9.3.1 sp1
      • PosGres 8.3.8 GeoDatabase
    • Includes 4 days of onsite consulting
      • Amazon Web Services (AWS) orientation
      •   Create and validate sample ArcGIS Server services
      •   Create custom AMI based on supported configurations
      • High Availability and Scalability Architecture & more…
    Gov 2.0