Introduction to Cloud Computing

Let's break down the subtopic "Introduction to Cloud Computing" within a Google Cloud Learning Catalog course. It's designed to provide a foundational understanding of what cloud computing is, before diving into specifics about Google Cloud itself.

Core Concepts Covered:

  • What is the Cloud? At its core, it means using computing resources (servers, storage, databases, software) over the internet instead of owning and managing physical hardware on-site. Think of it like renting electricity instead of owning a power plant.

    • Example: Instead of your company buying and maintaining physical servers in its office to host its website, it rents virtual servers (called "instances") from a cloud provider like Google Cloud.
  • Key Characteristics of Cloud Computing: The course highlights the properties that define cloud computing:

    • On-demand self-service: You can get computing resources whenever you need them, without human interaction.

      • Example: You need more server power during a product launch? You can instantly provision more instances via a web console, scaling your application up.
    • Broad network access: Cloud services are accessible from a wide range of devices (laptops, phones, tablets) over a network (typically the internet).

      • Example: Your development team can access the cloud-based development environment and work on code from anywhere with an internet connection.
    • Resource pooling: The cloud provider pools resources to serve multiple customers, allowing for greater efficiency. You don't control where your resources are physically located.

      • Example: Multiple companies share the same underlying hardware infrastructure, but their data and applications are kept isolated and secure.
    • Rapid elasticity: Resources can be scaled up or down quickly, based on demand.

      • Example: Traffic to your e-commerce site increases during the holiday season. The cloud automatically adds more resources to handle the load and then scales back down afterward, saving you money.
    • Measured service: You only pay for the resources you actually use.

      • Example: You only pay for the number of virtual machines you have running, the amount of storage you consume, and the network bandwidth you use.
  • Cloud Service Models: The course will introduce the three main service models:

    • Infrastructure as a Service (IaaS): You get access to the basic building blocks of computing infrastructure: virtual machines, storage, networks. You manage the operating systems, applications, and data.

      • Example: Google Compute Engine provides IaaS. You control the OS (Linux, Windows, etc.), install the software, and manage the security.
    • Platform as a Service (PaaS): Provides a platform for developers to build and run applications, without managing the underlying infrastructure.

      • Example: Google App Engine lets you deploy your code (Python, Java, etc.) and it automatically handles scaling, updates, and security. You just focus on your application logic.
    • Software as a Service (SaaS): You use an application over the internet, without managing any of the underlying infrastructure or software.

      • Example: Gmail is SaaS. You just use the email application; Google manages everything else (servers, software updates, storage).
  • Cloud Deployment Models: The course touches upon how the cloud can be deployed:

    • Public Cloud: Services are offered over the public internet and owned by a third-party provider.

      • Example: Google Cloud, AWS, Azure.
    • Private Cloud: Services are offered within a private network, typically managed by the organization itself.

      • Example: A company building its own data center and using virtualization software to provide cloud-like services internally.
    • Hybrid Cloud: A combination of public and private clouds.

      • Example: A company uses a private cloud for sensitive data and a public cloud for less critical applications.

In Summary: "Introduction to Cloud Computing" sets the stage by explaining the fundamental concepts, characteristics, models, and deployment options involved in cloud computing. It provides the vocabulary and basic understanding needed to then explore the specifics of Google Cloud and its services more effectively.

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Introduction to Cloud Computing

Let's break down the subtopic "Introduction to Cloud Computing" within a Google Cloud Learning Catalog course. It's designed to provide a foundational understanding of what cloud computing is, before diving into specifics about Google Cloud itself.

Core Concepts Covered:

  • What is the Cloud? At its core, it means using computing resources (servers, storage, databases, software) over the internet instead of owning and managing physical hardware on-site. Think of it like renting electricity instead of owning a power plant.

    • Example: Instead of your company buying and maintaining physical servers in its office to host its website, it rents virtual servers (called "instances") from a cloud provider like Google Cloud.
  • Key Characteristics of Cloud Computing: The course highlights the properties that define cloud computing:

    • On-demand self-service: You can get computing resources whenever you need them, without human interaction.

      • Example: You need more server power during a product launch? You can instantly provision more instances via a web console, scaling your application up.
    • Broad network access: Cloud services are accessible from a wide range of devices (laptops, phones, tablets) over a network (typically the internet).

      • Example: Your development team can access the cloud-based development environment and work on code from anywhere with an internet connection.
    • Resource pooling: The cloud provider pools resources to serve multiple customers, allowing for greater efficiency. You don't control where your resources are physically located.

      • Example: Multiple companies share the same underlying hardware infrastructure, but their data and applications are kept isolated and secure.
    • Rapid elasticity: Resources can be scaled up or down quickly, based on demand.

      • Example: Traffic to your e-commerce site increases during the holiday season. The cloud automatically adds more resources to handle the load and then scales back down afterward, saving you money.
    • Measured service: You only pay for the resources you actually use.

      • Example: You only pay for the number of virtual machines you have running, the amount of storage you consume, and the network bandwidth you use.
  • Cloud Service Models: The course will introduce the three main service models:

    • Infrastructure as a Service (IaaS): You get access to the basic building blocks of computing infrastructure: virtual machines, storage, networks. You manage the operating systems, applications, and data.

      • Example: Google Compute Engine provides IaaS. You control the OS (Linux, Windows, etc.), install the software, and manage the security.
    • Platform as a Service (PaaS): Provides a platform for developers to build and run applications, without managing the underlying infrastructure.

      • Example: Google App Engine lets you deploy your code (Python, Java, etc.) and it automatically handles scaling, updates, and security. You just focus on your application logic.
    • Software as a Service (SaaS): You use an application over the internet, without managing any of the underlying infrastructure or software.

      • Example: Gmail is SaaS. You just use the email application; Google manages everything else (servers, software updates, storage).
  • Cloud Deployment Models: The course touches upon how the cloud can be deployed:

    • Public Cloud: Services are offered over the public internet and owned by a third-party provider.

      • Example: Google Cloud, AWS, Azure.
    • Private Cloud: Services are offered within a private network, typically managed by the organization itself.

      • Example: A company building its own data center and using virtualization software to provide cloud-like services internally.
    • Hybrid Cloud: A combination of public and private clouds.

      • Example: A company uses a private cloud for sensitive data and a public cloud for less critical applications.

In Summary: "Introduction to Cloud Computing" sets the stage by explaining the fundamental concepts, characteristics, models, and deployment options involved in cloud computing. It provides the vocabulary and basic understanding needed to then explore the specifics of Google Cloud and its services more effectively.

Media