Cloud Computing: Making the right choice


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Session Presented @IndicThreads Cloud Computing Conference, Pune, India ( )

The concept of cloud computing is quickly scaling the chasm between hype and reality. Cloud Computing is rapidly becoming popular amongst enterprises that realize the benefits of shared infrastructure, lowered costs and minimal management overheads. But not all organizations and applications may benefit from a cloud computing platform. A legacy application ported in a native fashion to a cloud computing platform may not utilize any of the platform’s USPs at all. More importantly, wrong choice of platform can be disastrous. Deciding the optimal cloud vendor or platform for your requirements is a complex task.

Consider the plethora of choices available in the world of cloud computing:

* Public Cloud or Private Cloud or Hybrid Cloud
* Infrastructure-as-a-Service (IaaS): Amazon AWS, Rackspace Cloud, GoGrid, Terremark,
* Platform-as-a-Service (PaaS): Google AppEngine, Microsoft Azure, Heroku
* Software-as-a-Service (SaaS): Salesforce, Netsuite, Google Apps,
* Should you use IaaS, PaaS or SaaS for your application?
* Which cloud database fits your application? SimpleDB, SQL, RDS, Hadoop?

We will discuss the various business and technology factors to consider, while choosing a cloud vendor. We will explore the pros and cons of various cloud vendors and their offerings. Lastly, we will also discuss some real-life use-cases of applications and servers being migrated to cloud computing and what factors led to selection of a particular cloud vendor.

Takeaways from the session
This talk would serve as an introduction to a wide variety of cloud computing platforms. The audience would be able to answer questions like: “What options are available for cloud computing?”, “What are their pros and cons?”, “Should I consider migrating my application or server to the cloud?”, “Should I use IaaS, PaaS or SaaS?”, “Which is the best cloud vendor for my use-case?”

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Cloud Computing: Making the right choice

  1. 1. Cloud Computing: Making the right choices Kalpak Shah Clogeny Technologies Pvt Ltd 1
  2. 2. About Me Kalpak Shah Founder & CEO, Clogeny Technologies Passionate about economics and technology evolving through cloud computing Leading innovation on exciting projects across the cloud computing stack @ 2
  3. 3. Agenda Cloud Computing Overview Cloud Spectrum Infrastructure as a Service Description Platform as a Service Comparison Software as a Service Examples Ways to “Cloudify” Cloud Mobility – federated clouds, cloud bursting Private Cloud platforms Microsoft Azure – Covering the cloud stack Business Considerations & Examples Questions 3
  4. 4. Cloud Computing Overview Elasticity Programmability Pay as you go Fully automated 4
  5. 5. Why do we want to go to the cloud? No CAPEX, only OPEX Reduced IT administration & managed services costs Elasticity: Fast & Inherent scale-up and scale-down Variable & unpredictable loads Ideal loads for the cloud Commoditization of IT Only storage, only content delivery, only messaging Programmability – Automation Tools and ecosystem: Pay-as-you-go Reduced time-to-market: Focus on core competency Buzz… - Variety of options 5
  6. 6. Infrastructure-as-a-Service (IaaS) Pay-as-you-go Virtualized Resources – CPU, Storage, Network Infrastructure management services & tools Application cannot dynamically scale on-demand Local Server moved into the cloud – managing, patching, securing, monitoring is still a responsibility Extremely flexible Very little vendor lock-in Examples: Amazon EC2, Terremark vCloud, GoGrid Cloud, Rackspace Cloud 6
  7. 7. Considerations for IaaS - 1 Support & HelpDesk email, phone, 24x7 Hardware & Performance Operating System Support Distribution versions and range of support Imaging of server? Distribution and re-selling of images? Software availability and partner network Middleware? Database layer? For example, Amazon EC2 has partnered with IBM, Symantec, Microsoft, Redhat, Oracle, etc. to provide a wide variety of pre- packaged software 7
  8. 8. Considerations for IaaS - 2 APIs / Ecosystem Bindings in various languages – maintenance, backward compatibility Tools and ecosystem Licensing Big pain from our experience! Brings limitations to cloud migration Ex: IBM Websphere clustering not available on EC2 Ex: Windows licenses cannot be migrated from local datacenter to cloud Other services Databases storage, backups, monitoring, auto-scaling, load- balancing, messaging, etc. 8
  9. 9. Let’s compare IaaS Vendors OS Disk Choice of Tools / Perform- Hosting Support Persistence resources Ecosystem ance Good but Amazon Extensive – by a not Yes & No Medium Ideal ? AWS long way flexible Rackspace Limited Yes Limited Good Good ? Limited GoGrid but Yes Limited Medium Good ? growing Extensive Terremark Yes Extensive Very limited Not good ? & Flexible Performance needs to be tested for various applications across vendors. Lot of variation depending on CPU, network or disk bound application. 9
  10. 10. Platform-as-a-Service (PaaS) Scalable platform, hosted framework to develop and deploy applications Development language and platform decided by vendor No infrastructure management headaches No licensing concerns Scalability & availability are managed by the vendor Little flexibility – limited to choices provided by vendor Vendor lock-in concerns Examples: Google AppEngine, Microsoft Azure, Heroku 10
  11. 11. Software-as-a-Service (SaaS) Consumer facing – Business oriented Business layer is provided – extensions can be written Very similar to traditional hosting but with cloud models Consumed over the web No flexibility Almost complete vendor lock-in unless vendor follows standards for data extraction Examples: SalesForce Google Apps ZOHO 11
  12. 12. Storage-as-a-Service Storage – attractive to store in the cloud Populated & consumed in the cloud Enterprise usage increasing No management overhead, backups, disaster recovery Amazon S3 provides all in $15 cents/GB/month Pricing to the tune of $5 per month for unlimited storage High consumer penetration Examples Mozy from EMC Amazon S3 Rackspace CloudFiles Carbonite DropBox 12
  13. 13. Comparing PaaS & SaaS Vendors Development language & available skill-sets Google AppEngine supports Java & Python frameworks Heroku is a Ruby on Rails Cloud platform Microsoft Azure has a PaaS offering Cost of development Ease of deployment & maintenance Size of vendor & ecosystem maturity Tools, monitoring, connectors, adaptors – will my development time be reduced? Maturity of APIs & bindings available Does vendor allow private cloud integration? 13
  14. 14. The Cloud Spectrum IaaS PaaS SaaS Amazon SalesForce GoGrid Google AppEngine Google Apps Terremark Microsoft Azure Microsoft Live Rackspace EngineYard NetSuite Linode Heroku Many others…. Others… Application User Interface, API API, IDE, Libraries, Tools, Connectors Business Layer API, Connectors, Tools, Services App Framework App Framework Compute Compute Compute 14
  15. 15. Cloud Layer - Visibility 15
  16. 16. Ways to Cloudify - 1 Public Clouds Large datacenters with cloud capabilities Provide many services – CPU, storage, CDN, Databases, Messaging, Monitoring, Load balancing Large enterprises face security, latency and bandwidth hurdles Private Clouds Normal on-premise datacenters with cloud capabilities Elasticity, Self-service, Pay-as-you-go, programmability Higher utilization levels and management flexibility Offerings from VMWare, IBM, Microsoft, Eucalyptus for Infrastructure Private setups of PaaS also available from Intalio, Wolf frameworks, etc. Cloud bursting is an option 16
  17. 17. Ways to Cloudify - 2 Hybrid Clouds Best of both public and private clouds Disaster recovery and business continuity Regulation & compliance issues Seamless scalability VPN approach – Amazon Virtual Private Cloud IBM Private Cloud Ex: Websphere cluster with some nodes in public cloud Windows Azure AppFabric On-premise & cloud database remains in sync through use of this layer Shared Windows framework gives unique advantage to Microsoft 17
  18. 18. Ways to Cloudify - 3 SaaS CRM, accounting, taxation Any business or domain Virtual Desktops Client virtualization & application streaming Trainings, virtualized desktops, centralized management Mixture of IaaS & SaaS Cloud Storage Backup Collaboration 18
  19. 19. Cloud Mobility – Federated, Bursting OS Images Hybrid Cloud Applications Control Data Management Management Virtualization Bridge Virtualization Infrastructure Infrastructure Public Clouds Private Clouds 19
  20. 20. Interesting Private Cloud Platforms - 1 Eucalyptus Open-source IaaS cloud computing platform Compatible with Amazon’s AWS enabling (almost) seamless movement with AWS Supports VMWare, Xen and KVM Extremely flexible and easy to administer VMWare vCloud “Run, secure and manage applications in the private cloud or have them federated on-demand to partner-hosted public clouds with VMware vCloud” Forging partnerships with public cloud providers like Terremark Expensive but worth it! 20
  21. 21. Interesting Private Cloud Platforms - 2 Appistry Application platform for private, public and hybrid clouds Can be hosted on private data center, EC2, Terremark, etc CloudIQ Manager – Application Deployment and Management Software CloudIQ Engine – Cloud Application Server for App Scalability and deployment CloudIQ Storage – Distributed Storage System for Data management across the cloud Other platforms: Rackspace – OpenStack Compute and OpenStack Storage CloudStack – formerly VMOps: Open source and enterprise editions 21
  22. 22. Microsoft Azure Cloud Services Operating System Development, service hosting and service management environment Integrates with existing on-premises environment – Windows Framework Provides services across the cloud stack: IaaS, PaaS and SaaS End-to-end services Private Cloud Integration SQL Azure, SharePoint, Dynamics CRM Visual Studio as development and testing environment Supports multiple development languages Unique positioning in the market! 22
  23. 23. Cloud Databases Relational databases Traditional databases like SQL, MySQL, Oracle Should be used for quick porting of legacy applications Known loads & ability to serve them Scaling & performance needs to be managed Quicker development time & skills available Amazon’s MySQL based Relational Database Service (RDS) is interesting NoSQL databases SimpleDB, Hadoop, BigTable Non-relational databases Supported & managed by the cloud vendor (in some cases) Inherent flexibility and scale 23
  24. 24. Business Considerations - 1 Licensing Still not pay-as-you-go Per-CPU pricing, flat fees, limitations Can spoil cloud pricing and make it unattractive Expected to get better with time Service Level Agreements (SLAs) Around 99.9% for most vendors but read the fine print… Still evolving – sometimes does not meet enterprise demands Notification onus on customer, all commodities are not covered, limited liability 24
  25. 25. Business Considerations - 2 Pricing Complex pricing – difficult to estimate without testing No APIs for automation Examples: $0.10 per 1 million I/O requests on Amazon EBS $0.01 / 10K storage transactions on Azure Geography & Government laws Location of datacenters Compliance Protocol Support 25
  26. 26. Thank You!! Questions? 26
  27. 27. Example Cloud Migrations Porting existing stand-alone application to cloud platform Reach out to global customers without high sales cost Save normal hosting costs since load would be arbitrary Extremely CPU intensive IaaS or PaaS? Analytics application to be written on cloud platform Application being written from scratch Basic load can be estimated – scaling amount and times cannot be estimated Cannot use virtualization locally as it affects performance Client ready for CAPEX to save costs over a period of time Application architecture designed as per plan to utilize public clouds 27