Cloud Computing Basics: Cloud Computing is more and more widely used, how should we learn about Cloud Computing

With the development of the times, cloud computing is becoming more and more popular, more popular, and more and more people use it. How should we learn this technology? In this article, we will introduce how to learn our cloud computing.

Preschool Introduction:

Preschool Introduction

  1. Learning materials: HedEX Lite, product documentation, notes, PPT, class videos;
  2. IA: cloud computing concept and model;
  3. Learn the concept, characteristics, advantages, and differences of traditional methods of virtualization;
  4. Computing virtualization (CPU virtualization, memory virtual machine, IO virtualization), network resource virtualization, storage virtualization;
  5. Virtualization features, including migration, HA, cluster features, disk features, and features of Huawei virtualization products;
  6. The development trend of cloud computing;
  7. experiment;

What you need to learn for Huawei cloud computing research:

IP: learning virtualization solutions, desktop cloud solutions; OpenStack;

IE: OpenStack, disaster recovery, backup, business migration, private cloud, distributed storage;

How to learn cloud computing:

  1. Classes, notes, videos, products;
  2. For concepts and things that cannot be understood, it is necessary to raise them;
  3. Emphasis is placed on understanding the entire body of knowledge;
  4. experiment;

Introduction to Cloud Computing:

Chapter 1 Introduction to Cloud Computing

Cloud computing: prepare resources in advance, and enable users to use these resources anytime, anywhere through specific technologies; cloud computing model;

  1. Traditional methods; hardware equipment, air conditioning, and power supply; different engineers are required to complete the construction of the computer room for you, and maintenance personnel are required later;
  2. Cloud computing; provided as a service; no need to maintain this host;

 From the difference in structure;

The relevance of cloud computing and virtualization technology in the IA courses we study;

  1. structurally;

  1. In terms of implementation: what problem does virtualization solve: solve the problem of resource utilization;

        Cloud: It also has the same function, and the focus is more on services;

  1. In terms of function: cloud computing can be automated, virtualization - no - only provides the function of virtual hardware;
  2. Services: cloud computing can provide services such as security services, computing services, storage services, and artificial intelligence services;

Features of cloud computing:

  1. On-demand self-service: You can obtain corresponding resources according to your own needs;
  2. Extensive network access: not limited by time and place;
  3. Resource pooling: integrate different resources to form a resource pool; (classification) to achieve smaller granularity;

Function: the function of shielding the underlying differences;

  1. Elastic scaling: quickly adjust resources to increase or decrease according to demand;

Advantages: avoid waste; rational use of resources;

Type: 1. Manual --- artificially adjust the size of resources according to needs;

      2. Automatic --- automatically increase or decrease capacity according to the preset strategy in advance;

5. Measurable services; how many resources can be counted; public cloud can be used for billing; metering services need to be connected to billing services;

What cloud computing can do for us:

  1. Realize automation, software drives hardware to work;
  2. Realize self-service and independently choose various products on the platform;
  3. Realize the integration of resources, form a huge resource pool, and shield the differences of the underlying physical hardware;

The operating model of cloud computing:

  1. Public cloud: built by cloud service providers themselves, we use the resources they provide as users;
  2. Private cloud: usually a data center built by an enterprise or organization
  3. Hybrid cloud: core data is placed on the private cloud, and other services are placed on the public cloud;
  4. Industry cloud: divided according to the characteristics of different industries: government cloud, medical cloud, transportation cloud;

Cloud computing service model:

  1. Infrastructure as a Service IAAS: Provide users with the underlying hardware as a service
  2. Platform as a service PAAS: not only provides infrastructure, but also includes the intermediate operating environment;
  3. Software as a Service SAAS: provide applications directly, no longer need all the steps below relational applications;

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Origin blog.csdn.net/weixin_53466908/article/details/127475381