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cloud computing

Definition​

NIST - 5 characteristics

  • On-demand self-service
    • Can provision capabilities as needed without requiring human interaction
    • Provision and terminate using a UI/CLI without human interaction
  • Broad network access
    • Capabilities are available over the network and accessed through standard mechanisms
    • Access services over any networks, on any devices, using standard protocols and methods
  • Resource pooling
    • There is a sense of location independence, no control or knowledge over the exact location of the resources
    • Resources are pooled to serve multiple consumers using a multi-tenant model
    • Economies of scale, cheaper service
  • Rapid elasticity
    • Capabilities can be elastically provisioned and released to scale rapidly outward and inward with demand
    • To the consumer, the capabilities available for provisioning often appear to be unlimited
    • Scale up (out) and down (in) automatically in response to system load
  • Measured service
    • Resource usage can be monitored, controlled, reported, and billed
    • Usage is measured. Pay for what you consume

Public vs. Private vs. Hybrid vs. Multi Cloud​

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Public cloud

  • Using 1 public cloud

Private cloud

  • Using an on-premises real cloud

Multi-cloud

  • Using more than 1 public cloud

Hybrid cloud

  • Using both public and private clouds
  • Not public cloud + legacy on-premises
note

Public cloud and private cloud must meet the 5 essential characteristics of cloud computing

Cloud Service Models​

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  • Blue: Managed by the user
  • Red: Managed by the vendor
  • Green: Unit of consumption

Terms and concepts

  • Infrastructure stack
  • Parts you manage
  • Parts managed by the vendor
  • Unit of consumption

Stacks layers

  • Facilities: Building, physical security, power, air conditioner, staffing
  • Infrastructure: Storage, networking, compute resources
  • Servers: Physical hardware
  • Virtualization: Servers run virtualization software, such as VMware, Hyper-V, etc.
  • Operating system: Virtual machines run an operating system (OS)
  • Container: The OS runs containers, such as Docker, etc.
  • Runtime: The environment (e.g., Python, Java, etc.) required for the application to run
  • Data: Data required to run the application
  • Application: The software or application itself
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