CompTIA Cloud+ Study Guide. Ben Piper

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      Penetration Testing

      Penetration testing is the process of trying to exploit vulnerabilities that exist in your infrastructure. Pentesting is usually performed from outside your cloud deployment to assess the ability to access systems into your cloud from, for example, the Internet. Cloud providers have strict rules for how and when you can perform penetration testing, typically requiring advance permission and coordination with the provider. Some examples of penetration testing include trying default or easy-to-guess usernames and passwords and looking for open Transmission Control Protocol/User Datagram Protocol (TCP/UDP) ports.

      Performance Testing

      Performance testing (sometimes called load testing) puts a demand or load on your application or compute system and measures the response. By performing load testing, you can determine how your applications and cloud deployment can be expected to perform in times of heavy production usage. Load testing helps you determine a system's behavior under both normal and anticipated peak load conditions. All systems will fail at some point when under heavy loads, and by performing tests, you can identify and rectify any issues on your design.

      Regression Testing

      Frequent software updates are a part of the IT landscape. When you upgrade software to a new version, there's always a chance that a previously working function will break. This phenomenon is called a regression. Regression testing is designed to identify these regressions so that you can decide whether or not to update.

      There was a time when organizations would postpone software updates because they would routinely break things and create troubleshooting headaches for everyone. Although this isn't as much of a problem anymore, it does happen from time to time, so it's important to perform regression testing in a controlled test environment prior to rolling out major software updates.

      Functional Testing

Functional testing checks the functionality of software against a set of specifications that defines what the software must (or must not) do. In short, functional testing checks whether the software is capable of doing what you want it to do.

      Usability Testing

      Usability testing considers how easy or difficult it is for end users to use a system. A piece of software might pass all other tests, but the user may still find it difficult, confusing, or frustrating. Such flaws are usually not technical flaws in the code or architecture of a system, but rather flaws in the user interface or a process the user has to follow. Usability testing is designed to catch such flaws early.

      In its simplest form, usability testing consists of having a user attempt to complete a specified task. Usability testing is, in a sense, a more subjective version of functional testing. Functional testing is designed to test whether the software performs a specified function. Usability testing tests whether the user can use the software.

Verifying System Requirements

      After you have completed your assessments and needs analysis, you'll have then defined your requirements and which cloud service and deployment models best meet them. The next step is to select a pilot application to migrate to the cloud from your existing data center.

      Prior to performing the migration, the engineering team should sit down and review the complete design, from the application, configuration, hardware, and networking to the storage and security. As part of this verification, it is helpful to stage the system in the cloud as a proof-of-concept design. This allows everyone to test the systems and configuration in a cloud environment prior to going live.

      Correct Scaling for Your Requirements

      The ability of the cloud to scale resources up or down rapidly to match demand is called elasticity. For IaaS services, this can be done automatically as needed using autoscaling. This allows cloud consumers to scale up automatically as their workload increases and then have the cloud remove the services after the workload subsides. For SaaS and PaaS services, dynamic allocation of resources occurs automatically and is handled by the cloud provider. (Later in the chapter, we'll discuss the division of responsibilities between you and the provider.) With elastic computing, there is no longer any need to deploy servers and storage systems designed to handle peak loads—servers and systems that may otherwise sit idle during normal operations. Now you can scale the cloud infrastructure to the normal load and automatically expand as needed when the occasion arises.

On-demand cloud services allow the cloud customer to create instantly additional servers, storage, processing power, or any other services as required. On-demand allows customers to consume cloud services only as needed and scale back when they are no longer required. For example, if a developer needs to provision a database and application server for testing, they can quickly provision these servers and deprovision them once they're no longer needed. This is also referred to as a just-in-time service because it allows cloud services to be added and removed as needed.

      Pay as you grow (PAYG) is like a basic utility, such as power or water, where you pay for only what you use. This is very cost effective because there are minimal up-front costs, and the ongoing costs track your actual consumption of the service. The elasticity of the cloud lets you add resources on-demand, so there's no need to overprovision for future growth. With a normal data center operation, the computing must be overprovisioned to take into account peak usage or future requirements that may never be needed.

      Making Sure the Cloud Is Always Available

      In this section, you'll become familiar with common deployment architectures used by many of the leading cloud providers to address availability, survivability, and resilience in their services offerings.

      Regions

Major cloud providers partition their operations into regions for fault tolerance and to offer localized performance advantages. A region is not a monolithic data center but rather a geographical area of presence that usually falls within a defined political boundary, such as a state or country. For example, a cloud company may offer regions throughout the world, as shown in Figure 1.20. They may have regions in Sydney and Tokyo in the Asia Pacific region, and in Europe there may be regions called London and Oslo. In North America there could be regions in Boston, Ottawa, Austin, and San Jose.

FIGURE 1.20 Cloud regions

      All of the regions are interconnected to each other and the Internet with high-speed optical networks but are isolated from each other, so if there is an outage in one region, it should not affect the operations of other regions.

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