13 Public Cloud Service Provider Selection Model

Once you have decided to opt for a Cloud solution, the next challenge is selecting the right cloud service provider. An analytical approach and well-defined evaluation criteria would be helpful in such scenarios. A snapshot of the criteria is provided in the table below:


  • Physical security of the location/data centre where cloud service is hosted
  • Application & data security
  • Security related to multi-tenancy
  • Data encryption management
  • User access management

Quality of Service

  • Performance guarantees (through SLAs)
  • Availability of service
  • Service reliability
  • Network performance and latency
  • Underlying hardware performance
  • Scalability of performance
  • Incident response time
  • Planned maintenance and upgrade downtime

Service Level Agreement (SLAs)

  • Are the SLAs SMART?

ο S – Specific

ο M – Measurable

ο A – Achievable

ο R – Realistic

ο T – Timely

Total Cost of Ownership (TCO)

  • Price – relative to in-house solution, other public cloud service offerings and providers
  • Price-to-performance ratios
  • Cost for upgrade
  • Support costs
  • Overhead costs
  • Hidden costs
  • Total cost

Technical Ease

  • Easy of deployment
  • Deployment/implementation lead time and support
  • Ease of technical integration and interoperability with in-house solutions
  • Compatibility with legacy systems
  • Ease of connectivity with cloud solution
  • Analytics and reporting access

Location and Regulations

  • Location of data centres (in-country or outside the country)
  • Local and international regulations
  • Geographic redundancy

Disaster Planning

  • Data centre architecture redundancy
  • Backup and failover services and options
  • Time to recover down services (including track record!)
  • Cloud architecture (disaster avoidance / preventive perspective)
  • Location of alternate data centres with duplicate services


  • Support services
  • Managed services
  • Professional services
  • Recovery services
  • Service monitoring


  • Sustainability (green data centres and environment efficiency)
  • Level of carbon footprint