官术网_书友最值得收藏!

  • Mastering OpenStack
  • Omar Khedher
  • 326字
  • 2021-07-16 13:15:17

Chapter 3. Learning OpenStack Clustering – Cloud Controllers and Compute Nodes

Now that you have good knowledge of the approaches taken to deploy a large OpenStack infrastructure in an automated way, it is time to pe deeper and cover more specific conceptual designs within OpenStack.

In a large infrastructure, especially if you are looking to keep all your services up and running, it is essential that you ensure the OpenStack infrastructure is reliable and guarantees business continuity.

We already discussed several design aspects and highlighted some best practices of scalable architecture models within OpenStack in Chapter 1, Designing OpenStack Cloud Architecture.

We adopted a sample architecture based on the cloud controller and compute nodes, and on each of these, we pided and set up OpenStack services. This is a simplified way to design a scalable OpenStack environment.

Soon after, we discovered the magic of automation, where we resumed a basic setup of one cloud controller together with one compute node using the Chef server.

This chapter begins by covering some clustering aspects. It soon guides you to discover more OpenStack design patterns based on cloud controllers' and compute nodes' clustering. Bear in mind that this chapter will not treat high availability in detail and will not touch all OpenStack services layers. Instead, it will target covering a generic overview of several possibilities of the OpenStack clustering design. The art of clustering is the key to providing a solution that fits into a methodology that stresses standardized, consistent IT build-out OpenStack operations.

In this chapter, we will cover the following topics:

  • Understanding the art of clustering
  • Defining the use case of cloud controllers and compute nodes in an OpenStack environment
  • Covering other OpenStack clustering models based on cloud controller and compute node distribution
  • Understanding backup techniques of cloud controller and compute nodes for disaster recovery best practices
  • Learning how to refine your infrastructure code based on the Chef server for a fast and automatic deployment
主站蜘蛛池模板: 蒲江县| 兴城市| 武隆县| 五家渠市| 永福县| 涡阳县| 西畴县| 高淳县| 岳阳市| 澜沧| 荆门市| 平昌县| 同心县| 湾仔区| 闸北区| 阿荣旗| 赤峰市| 佳木斯市| 博罗县| 普定县| 松桃| 富宁县| 潮州市| 闽侯县| 栾城县| 西藏| 张家川| 临沭县| 行唐县| 定南县| 南溪县| 察隅县| 淮南市| 泾源县| 青浦区| 常德市| 镇宁| 阜宁县| 达日县| 清水河县| 商水县|