What Is Private Cloud Computing?

Private Clouds ^[1] refers to the cloud computing methods that enterprises can completely control, for example, the access to storage resources of cloud storage can be completely controlled by the enterprise, rather than which cloud computing service provider. Another concept of private cloud is to provide strong isolation by the cloud computing provider. The user-built cluster and data center are regarded as an independent and isolated subset of a cloud service and become a user-owned sub-cloud.

Private cloud computing

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Private Clouds ^[1]

Compared with public clouds, private clouds have the following advantages:
1. Can provide effective control over data and security. <br /> is built for a single customer use, thus providing the most effective control over data, security and service quality. For companies, especially large ones, business data is their

1. Policy and team structure

Many companies piece together a cloud team from different IT silos. However, varying degrees of commitment among other projects, corporate politics, and team members can cause big problems for private cloud projects. It's difficult to get different IT people to work together without a gap for a common goal. The result is a private cloud that is poorly conceived, designed, deployed, and managed.

2. Bad processes or governance

The private cloud is built in a complete virtualized environment. However, without new processes, especially automated and managed processes, organizations will struggle with control over private clouds.

3 Excessive automation complexity

Automation is an important part of private cloud deployment. But automation can be complicated, calling for a large number of specific and dynamic rule sets. To create these rule sets, organizations need a detailed understanding of workflows and processes that may not have existed in the pre-cloud environment. IT teams also need to have a keen knowledge of automation tools to turn processes into rules. More importantly, they must regularly review and update the rule set, because automation is not a set and forget behavior.

4 Insufficient third-party integration

Private clouds are not as pervasive-successful operations depend on smooth interactions between automation tools, management and reporting platforms, and other technologies, such as OpenStack. To avoid integration issues, organizations should support directory services and expose APIs.

5. Lack of long-term commitment

Developing, deploying, and maintaining a private cloud is not a quick or easy task. Many technologies that support private clouds are not easy to change. For example, from

Private cloud computing also includes

Private cloud capacity planning

Capacity planning is the next step in your private cloud project. A successful capacity planning depends in large part on the observation of daily, weekly, and monthly cycles to establish the fluctuation range of the load. This can provide statistics on the number of instances for load balancing.

The next step is to find the peak amplitude and decide how to handle it, including defining flexible start times and priorities for different jobs, and incorporating all of this into the orchestration strategy. Through this analysis, the number of instances required by a truly load-balanced system in a typical load amplitude fluctuation is obtained.

Define storage requirements

Network-based storage is another element of cloud infrastructure. Those expensive "enterprise-grade" hard drives are disappearing, with SSDs replacing high-end parallel

Unlike virtual environments, which require a lot of manual work to distribute, deploy, and manage, private clouds need to be automated. An automated private cloud environment provides users with a self-service model, while ensuring rapid and uniform distribution and reducing errors. But to gain the benefits of automation in a private cloud, organizations need the right processes and toolset.

The core of cloud computing is a practical computing model in computing resources that can be delivered on demand and incrementally charged, just like water and points. Cloud resources include storage, virtual servers, and network functions, and related services such as event-driven computing, encryption, and performance monitoring. Users can select, implement, and use and pay for these resources and services without IT involvement. This is where automation comes into play.

Companies adopting a private cloud must use automated tools to translate business and technology strategies into tangible cloud actions. The automation framework defines and directly allocates, monitors, and manages the cloud environment, and provides detailed reports to track use cases, billing, and life cycles. Enterprise peers will use more than one private cloud automation tool, and integrating these tools into a broader automation framework. Common automation tools include Puppet, Chef, Dell Cloud Manager, and RightScale.

There are multiple benefits to automation in a private cloud. When a user needs a private cloud resource or service, automation tools and frameworks will identify the user and verify whether the user's requirements are authorized. In most cases, authenticated users can choose the part that fits their role from a resource menu or service. Once this requirement is raised, the workflow engine is to implement the relevant allocation steps, such as obtaining the authorization of the supervisor, allocating available resources, and workload balancing to achieve performance optimization. Private cloud automation can also handle lifecycle management by tracking resource use cases and reporting on any unutilized or unconstrained resources.

Another automation benefit in private clouds is improved operating policies and regulatory compliance. Automation provides a predictable and repeatable engine, ensuring that resources and services are allocated the same way to every user and group every time. It also eliminates errors in manual assignments. Monitoring and reporting provided through automation can also be of benefit in the audit process. ^[6]