Azure Cloud Service Models

 

• The three cloud computing service models are IaaS, PaaS, and SaaS.
• You can also use serverless computing to eliminate the need to manage infrastructure.
• The shared responsibility model determines the security tasks that are handled by the cloud provider and handled by the customer.
  • Azure is responsible for protecting the infrastructure such as hosts, network, and data center.
  • The customer is responsible for protecting their data, endpoints, account, and access management.
• IaaS, PaaS, and SaaS have different levels of managed services:

Infrastructure as a service (IaaS)

• Most user management
• You are responsible for managing the operating systems, data, and applications.
• IaaS helps you to extend resources rapidly to meet the spikes required for your application.
• Used in the following scenarios:
  • Migrating workloads – move existing applications to the cloud.
  • Test and development – quickly set up and dismantle test and development environments. IaaS makes scaling development and testing environments, fast and economical.
  • Storage, backup, and recovery – simplify the planning and management of backup and recovery systems.
  • Website hosting – less expensive than traditional web hosting.
  • High-performance computing (HPC) – clusters of computers that help solve complex problems involving millions of variables or calculations.
  • Big data analysis – for massive data sets that require a huge amount of processing power.

Platform as a service (PaaS)

• Less user management
• The operating systems are managed by the cloud provider, while the user is responsible for the applications and data they run and store.
• PaaS offers all the functionality you need to support the entire lifecycle of web applications: building, testing the application, deploying the source code, managing, and updating within the same integrated environment.
• Used in the following scenarios:
  • Development framework – a framework for creating or customizing cloud-based applications.
  • Analytics or business intelligence – find insights and patterns, and predict outcomes to improve business decisions.

Software as a service (SaaS)

• Least amount of management
• The cloud provider is responsible for managing everything, and the end-user just uses the software.

Serverless Computing

• Function as a Service (FaaS)
• You simply deploy the code with a serverless platform, and it runs at high availability.
• Dynamically scales up and down to meet the demands of each workload within seconds.
• A pay-per-execution model that charges sub-second billing only for the time and resources required to execute the code.