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The design of the data center Containment does not theoretically fail, but it does happen, so data center operators will face a very severe situation, especially with data centers.
According to recent events, the consequences of power outages and business disruptions in the managed data center are very serious. For example: British Telecom is one of the world's largest telecommunications operator and managed data center, the data center operations this year suffered two outages. Voice and data traffic in London and its surrounding areas declined by 10% and the accident time was more than four hours, according to reports.

Containment
Despite efforts to avoid interruptions or accidents when designing and running data centers, data center hosting facilities do not avoid these problems, and their short and long term unexpected disruptions can be costly. If the customer chooses to give up the service, the enterprise may be punished for not meeting the service level agreement (SLA), and may cause long-term damage to the brand of the enterprise and cause loss to the business income.
From the data center point of view, what should be done or should not be done to prevent the occurrence of accidents is a very simple truth. However, this is a different conclusion if the data owner and its data center solutions fail. If the enterprise customer has made a strategic decision, put its data in the external data center and carry out risk analysis. But is that really the best way to prepare for the worst? The question is, what should an enterprise customer do if he finds himself in such a situation?
The best way to prepare for the worst is to constantly resolve the possibility. Failure, organizational effort, preparation, and understanding of the process will provide them with resources and tools to mitigate failure. If the enterprise has not considered or did not do so, then it is recommended to judge its own situation from the following aspects.
(1) risk diversification
First of all, when the enterprise makes data center strategy, it should avoid putting all the data in one place, which will increase the risk factors. In the same way, avoid putting all key applications in the same place. Consider storing the primary data in one location and storing the backup data in another location. Then, step by step to understand each scene and determine what impact any level of failure will have. Repeat the process once a year.
(2) trust, but to verify
Businesses get audit records from service providers and, more importantly, careful reviews. In many cases, the hosting data center needs to be audited for compliance with HIPAA, SOX, and PCI requirements. Sometimes, however, this review may be done by people who do not fully understand how IT or data centers operate. Therefore, companies need to arrange for professionals who know how reliable data centers operate. These third party audits are usually much easier than their own identifying risks and can provide more information. In most cases, the cost of mitigating risks is usually minimal through review and validation measures, compared with the costs and operational costs of the disruption incidents.
(3) sign a written agreement
The enterprise needs to know how the data center hosting provider will deal with an outage. When signing a contract with a supplier, a written agreement shall be signed to acknowledge that the agreement will lead to an interruption. This is critical. In fact, data owners find that sometimes protocols do not cover their ideas. In addition, a written assurance shall be made of the service provided by the supplier during the interruption and will be committed within an acceptable period of time.
(4) backup strategy
Companies must understand the risks faced by their business and prepare for the worst. Most managed data centers have an alternative site that can handle basic disaster recovery to ensure that their customers have little impact on operations. Most companies are still seeking to deploy dual live databases in data centers (hosted data centers, cloud computing, or internal deployments). While some of the dual deployments were successful, it was painful to try using a disaster recovery backup. The database is not as complete as the enterprise expects, and the data loss or application is likely to be affected during the failure conversion.

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