vb.net 2d barcode generator Part VI in Visual C#.NET

Making EAN13 in Visual C#.NET Part VI

Part VI
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High Availability
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familiar with and able to implement this plan if necessary. A plan that is based on one person being available is doomed to fail. So, how does a database administrator decide the level of protection required by the business and the methods that should be utilized In this chapter, we will review how high availability and disaster recovery differ and what options are available to the Microsoft SQL Server DBA to implement these solutions. Note
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It has always been a good idea to implement a disaster recovery plan, but it hasn t always been a priority for companies because of the cost. Because it was not always a priority, the Sarbanes-Oxley Act of 2002 mandated certain minimum standards for disaster recovery, including testing. Many companies always had disaster recovery planning as a priority, but now they have no choice.
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What Are High Availability and Disaster Recovery
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High availability refers to the availability of a system s resources in the wake of component failures in that system. Assured system and data accessibility can be achieved by a combination of solutions that ensure redundancy of hardware and of custom or off-the-shelf software solutions. To achieve a highly available database system, all single points of failure must be addressed and a method for failing over to redundant components must be established. Disaster recovery, on the other hand, refers to the ability to continue to provide continuous data availability in the event of a disaster in which the primary database or the entire data center is unrecoverable. A major disaster scenario is a company located in a coastal town destroyed by a hurricane. Imagine that the company provides to customers nationwide a critical internet Web application that queried its database. It would be imperative to the business that this application and data continue to remain available, despite the fact that its primary site has been destroyed. How would you ensure this With a disaster recovery plan. As mentioned earlier, the key points to address are the single points of failure of your database system. A single point of failure refers to any component of your system and each component that, in a failed state, renders your data unavailable. These points can include computer hardware, software, and the network infrastructure. The most common point of failure in most computer systems is the hardware. Without redundant hardware, a failure can stop your database system in its tracks. In a typical server configuration, any component, including the CPU, memory, storage, and network interface card, can fail at any moment. Normally, when this happens, you have to replace the failed part, which can take as long as a few days, depending on the replacement part s availability. Typically, this
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25
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Disaster Recovery Solutions
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is not an option with your business and mission critical database servers. Such a lengthy downtime can leave a business in ruins. Note
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Many hardware vendors have redundancy built into their hardware to avoid a single point of failure. This is especially true of storage subsystems where there are redundant caches, redundant busses, redundant disk drives, and redundant cables. Since a disk drive is mechanical in nature, it is the most likely component to suffer a physical failure. Thus, if you have a limited budget and are interested in high availability, the I/O subsystem is a good place to start.
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In addition to hardware failure, software can be a single point of failure as well. At some point in time, a database may become corrupt, or the operating system itself may need repair or reinstallation. Either can cause the system to be down for a significant amount of time. A software problem can, under certain conditions, be more devastating than a hardware problem. In cases where a power failure causes the system to go down for a short period of time, the system might be back very quickly. If the database were to become corrupt, a restore must be done, which can take many hours depending on where the backup is stored and the size of the database.
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