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Planning for High Availability in the Enterprise
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preventing a failure is not high availability; preventing a failure is a hope and a prayer. Availability is determined by how quickly you can recover a system after it has suffered a failure. Some people call this disaster recovery. Recovering a system from a failure is both disaster recovery and high availability.
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We used to work on an online banking application that had outages on a fre quent basis because of a variety of factors. One day, we had an outage that could not be recovered using our normal processes. We discovered that a table in our database had become corrupted. It wasn t as simple as an index, so we couldn t fix the problem by dropping and re-creating the index. Because the corruption occurred in our payments table, we were completely offline. We opened the standard call bridge with the people needing to be involved and kept updated on the status. After more than an hour of working on the problem, we were left with one basic solution: to restore the database. However, not only was it going to take several hours to restore the database and all logs but addi tional time was also needed to request the backup tapes, load them, and perform all the other processes going on. By this time, there must have been 60 people sitting on our call bridge wanting to know what was going on. In the middle of all the side conversations that were occurring, two of the busi ness people were having a side conversation about the data. We knew that the payments table contained all the online payments that customers had sched uled. The critical fact we didn t know is that if a customer called to say that one of the payments was late, the bank refunded any late payment fees the customer incurred. Further, the people carrying on this side of the conversation also explained that more than 90 percent of the data we were storing in that table had already been processed.
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Lesson 1: Assessing Database Availability Requirements
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When we extrapolated the numbers, it was determined that if we had dropped and re-created the table without any data in it, the bank would have incurred less impact by refunding a late payment fee on every active payment in the table than the downtime had already cost. So, instead of requesting backups, we ran the DBCC CHECKDB command and specified the REPAIR_ALLOW_DATA_LOSS option. The worst-case scenario is that it would deallocate all the data in the table, which was still better than the amount of time the restore would take. About two minutes later, this command returned and told us that exactly one page in the database had been deallocated. The lesson learned from this Everyone wants to talk about the time it takes to recover from an error. However, the critical part is in the amount of time it takes to diagnose the problem and come up with an acceptable solution. When we hear business people saying that a database administrator (DBA) does not have to understand the data to manage it, we have to laugh. In this case, if we would have known that 90 percent of the table contained payments that had already been processed as well as the policy to refund payments, we could have had this system back online and accepting transactions in less than five minutes instead of the nearly seven hours that it was actually offline. DBAs need to understand the data they are asked to manage. They also need to understand how that data fits into the business as well as the impact of a sys tem being offline. By understanding the business aspects of the data under management, many hours of downtime can be avoided every year in many organizations. Because high availability is really about managing failures, achieving varying levels of availability is determined by your ability to mask outages. Reaching 99.9 percent availability is generally accomplished with hardware that is available. By providing redundant hardware components such as hot swappable hard drives and redundant network interface cards (NICs), you can mask the failure of a single hardware component. To move into the 99.99 percent availability range, all hardware and process issues as well as some software issues have to be masked. Redundant systems need to be in place so that routine maintenance such as the installation of service packs does not cause excessive outages. Reaching four 9s of availability means that the total outages
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