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Planning for High Availability in the Enterprise
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Hardware Failures
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Hardware failures are the more commonly evaluated failures. Many of the servers in your environment have hot-swappable disk drives as well as redundant network cards. Hot-swappable disk drives do not provide any fault tolerance unless you are using a redundant array of inexpensive disks (RAID) configuration that can with stand drive failure. Redundant network cards also do not provide any tolerance if you have configured a single card to handle all the communications. The RAID controllers or host bus adapters (HBAs) must provide redundancy because they provide the access point to your storage. You need to deploy cards with battery backups to ensure that writes sent to disk can be successfully completed in the event of an outage on the server. Although disk drives, network cards, and storage controllers are the most common hardware elements that are considered, processors and memory banks can also fail. Fortunately, the failure of a processor or memory bank is extremely rare. The only way to protect from these types of issues is with redundant servers.
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Software failures encompass the entire spectrum of errors that cause data to become unavailable to end users. The first step of managing these types of failures is having a good change control process in place. Changes to an environment are the most com mon cause of software failures, so understanding the elements that changed recently can help diagnose outages and get the system back online quickly. Failures in the operating system or SQL Server are most easily taken care of by imple menting redundant systems. If the operating system of SQL Server is unavailable, applications can switch over to a secondary server while IT staff analyze the issue and fix the software problem. Web servers and application servers are usually protected from software failures (unless the issue is due to a configuration change) because these components are gen erally redundant for scalability purposes.
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Network failures are some of the most difficult issues to deal with in an environment. DBAs do not have access or authority to directly manage network equipment. How ever, without the network in place, end users cannot reach the database servers.
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Lesson 1: Assessing Database Availability Requirements
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The best way to protect from failures within the network is to ensure that a redun dant infrastructure exists and that multiple paths are created. If equipment fails on one path, the networking infrastructure has the capability to route requests through alternate pathways. When you are analyzing the network infrastructure, do not forget to consider DNS. It is used to resolve all of the instance names that you are using, so a failure in DNS means that users cannot locate the database servers. One element that you do not have to be concerned with is a domain controller. After an application or user has authenticated to the domain, the Security Identifier (SID) of that user is passed for all authentication requests. If the domain controller is not available when a user logs in, the user receives an authentication error that is the responsibility of system administrators.
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Security Failures
Security breaches can cause significant damage to your environment. By implement ing multiple layers of security, minimal permissions, and monitoring, you can avoid virtually every outage issue related to security.
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Security design
For more information about designing the security layer for SQL Server, see 3, Designing SQL Server Security in the Enterprise, 4, Designing Database Server Security Policies, 5, Designing SQL Server Endpoints, and 6, Designing Database Security.
Cost of Downtime
The total cost of downtime is determined for each application within an environment. This value is derived by evaluating the percentage of the total revenue for which a par ticular application is responsible. Calculating downtime costs for applications that are directly responsible for generat ing revenue (such as order entry systems) is reasonably straightforward. The cost of downtime for these systems is the revenue per minute that a system processes on average during a year. For example, if an application generates $500 million USD in a single year, the cost of downtime on that application is $950 per minute. Although that figure might not seem very high, downtime can add up very quickly in a disaster.
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