In De Wolken Met Cloud Computing
Upcoming SlideShare
Loading in...5
×
 

In De Wolken Met Cloud Computing

on

  • 1,758 views

This presentation provides a cloud computing overview. Windows Azure is described in more detail as an example of a cloud platform.

This presentation provides a cloud computing overview. Windows Azure is described in more detail as an example of a cloud platform.

Statistics

Views

Total Views
1,758
Views on SlideShare
1,757
Embed Views
1

Actions

Likes
1
Downloads
40
Comments
0

1 Embed 1

http://www.slideshare.net 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

In De Wolken Met Cloud Computing In De Wolken Met Cloud Computing Presentation Transcript

  • In de wolken met cloud computing? Een introductie, overzicht en vergelijking… Dec-09
  • Introducing… • Class-A • Kennisprovider • Microsoft development • Training & Coaching • http://www.class-a.nl • Anko Duizer • Trainer/ coach • Blog: http://www.ankoduizer.nl • Twitter: ankoduizer
  • Overview 3 • What is cloud computing? • What is Windows Azure? • Scenarios • Challenges
  • The big switch? 4 • From your own Burden wheel to large-scale electricity… • Large scale electricity was possible by a series of scientific and engineering breakthroughs • But what ensured the triumph was not technology but economics • It changed our lives completely: we have light everywhere and power at each house!
  • The next big switch? 5 • Cloud computing is moving away from the personal computer to a public grid: The Internet • Centralized data processing • Computing is turning into a utility • Is driven by economics • Is processing information the next electricity? • Will this change our lives once again?
  • Cloud duurder dan datacenter Capaciteit huren in de cloud Schneier: cloud computing niet onveiliger Computable, 2008
  • What is cloud computing?
  • Cloud computing is Internet ("cloud") based development and use of computer technology ("computing”)
  • What is the cloud? 9 • A set of connected servers • Offers infrastructure, platform and software as a service • An infrastructure on which you can: • Install and run services • Store and retrieve data • We have public and private clouds
  • Characteristics of the cloud 10 • The management/ administration of the systems is not in hands of the user • The user pays a recurring fee • Pay for what you use (utility based computing) • The capacity of the infrastructure is elastic • Strong focus on integration (cloud-cloud, cloud-on premises)
  • Kinds of cloud services 11 Cloud Attached platforms IaaS services SaaS (PaaS) Extra Application Cloud ? Application functions Platform On- Browser/ ? Application client Application premises
  • Cloud computing suppliers
  • Is there a market? 13
  • 14 Windows Azure platform
  • Windows Azure platform 21 AppFabric Applications SQL Azure Windows Azure Live Services Applications Windows Windows 7/ Windows Others Server Vista/XP Mobile
  • Windows Azure 22 Application Compute Storage Config Fabric
  • Storage 23 HTTP Blobs Tables Queues
  • Windows Azure AppFabric 24 Access Control (ACS) ? Service Bus
  • SQL Azure 25 SQL Data Services Others (future)
  • SQL Azure architecture 26 Application Application Browser ODBC, OLEDB, application REST Client SQL Client* ADO.Net PHP, Ruby, … Cloud HTTP+REST HTTP TDS Windows Azure REST Web App Data center ADO.Net + EF SQL Client* TDS + TSQL Model SQL Azure
  • Information services “Dallas” 27 • Information as a Service • Content brokerage and discovery platform • Discover, explore and use any type of content • Blobs, structured, real-time web services • Tap into an ecosystem of global content providers • Process and analyze data • Empowers developers of all sizes • Built on Windows Azure and SQL Azure
  • Windows Azure service lifecycle 28 Coding and Provisioning Deployment Maintain Modeling goal state - Mapping and deploying to - Monitor New services Desired actual - React to configuration hardware events and updates - Network configuration Developer Developer/ Automated Automated Deployer
  • From on-premises to cloud platforms Cloud Cloud infrastructure application services Cloud foundation Cloud application services On-premises On-premises infrastructure application services OS On-premises application services
  • The Starbucks model 30 Intake Worker role (web role) Queue
  • Azure : designed for the cloud • For easy access, from anywhere • Language agnostic REST APIs • Client libraries for .NET, Java, PHP, … • For durability • All data is replicated 3 times within a cluster, and across datacenters • For massive scale • Data is automatically partitioned and load balanced across servers
  • Windows Azure – coming soon… 32 • Programming model • Administrator privilege in the VM • Deployment of pre-configured VM images • Storage • User-selectable geo locations for replicas • Secondary indices on tables • Service management • Remote terminal server access to VMs
  • Scenarios
  • Cloud platform scenarios 1. Running an on-premise app unchanged in the cloud 2. Scalable web application 3. Parallel processing application 4. Web application with background processing 5. Archiving
  • Scenarios versus capabilities 35 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS X Scale-out web app X X platform Scale-out batch app X X platform Relational storage X X X X Scale-out storage X X X Blobs Queues X X
  • Amazon Web Services 36 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS EC2 VMs Scale-out EC2 VMs EC2 VMs web app platform Scale-out EC2 VMs EC2 VMs batch app platform Relational RDS RDS storage RDS Scale-out storage SimpleDB SimpleDB Blobs S3 S3 Queues SQS
  • Google AppEngine 37 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS Scale-out Java/ web app Python platform runtime Scale-out batch app platform Relational storage Scale-out storage Datastore Blobs Queues
  • Salesforce.com Force.com 38 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps VM with standard OS Scale-out Force.com web app runtime platform Scale-out batch app platform Relational storage Scale-out Force.com storage storage Blobs Queues
  • Windows Azure platform 39 Run On- Scalable Very Parallel Background Archiving Premise web apps scalable processing processing apps web apps apps VM with standard OS VMs Scale-out web app Web role Web role Web role platform Scale-out Worker Worker batch app platform role role Relational SQL SQL SQL storage Azure Azure Azure Scale-out storage Tables Tables Tables Blobs Blobs Blobs Queues Queues
  • Summarize platform comparison 40 Run On- Scalable Parallel Background Archiving Premise web apps processing processing apps apps Mosso X X Amazon Web Services X X X X X Microsoft Windows Azure X X X X X Google AppEngine X Salesforce.com Force.com X
  • Workload patterns optimal for cloud 41 “On and Off “ “Growing Fast“ Compute Compute Inactivity Period Average Usage Average Usage Time Time On & off workloads (e.g. batch job) Successful services needs to grow/scale Over provisioned capacity is wasted Keeping up w/ growth is big IT challenge Time to market can be cumbersome Complex lead time for deployment “Unpredictable Bursting“ “Predictable Bursting“ Compute Compute Average Usage Average Usage Time Time Unexpected/unplanned peak in demand Services with micro seasonality trends Sudden spike impacts performance Peaks due to periodic increased demand Can’t over provision for extreme cases IT complexity and wasted capacity
  • Challenges
  • Legal Availability Vendor lock-in Trust New development API? Costs Software + Services?
  • Vendor lock-in? 44 • The interoperability story is quite good. • Cloud platforms can expose and consume web services en RESTfull interfaces • Cloud platform data can be accessed by other applications • The portability story is quite different… • It strongly depends, each vendor is doing it differently • Moving apps form on-premise to the cloud and back is hard!
  • 45 Forget about all the other argumentation
  • Questions ?
  • Windows Azure 48 • Compute : $0.12 / hour • Storage : $0.15 GB / month • Bandwidth: $0.10 GB in, $0.15 GB out
  • Windows Azure AppServer 49 • Messages : $0.15 / 100k • Bandwidth: $0.10 GB in, $0.15 GB out
  • SQL Azure 50 • Per database: • Web edition (1 GB): $9.99 / month • Business edition (10 GB): $99.99 / month • Bandwidth: $0.10 GB in, $0.15 GB out