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1. System ptime availability
Measuring Availability When you discuss availability requirements with a user or project leader, he will invariably tell you that 100 percent availability is required: “Our project is so important that we can’t have any downtime at all.” But the tune usually changes when the project leader finds out how much 100 percent availability would cost. Then the discussion becomes a matter of money, and more of a negotiation process. As you can see in Table 2.1, for many applications, 99 percent uptim...
2. Definitions for downtime vary from gentle to tough
Defining Downtime Definitions for downtime vary from gentle to tough, and from simple to complex. Easy definitions are often given in terms of failed components, such as the server itself, disks, the network, the operating system, or key applications. Stricter definitions may include slow server or network performance, the inability to restore backups, or simple data inaccessibility. We prefer a very strict definition for downtime: If a user cannot get her job done on time, the system is down. A computer syste...
3. File and Print Server Failures
Network Failures Networks are naturally susceptible to failures because they contain many components and are affected by the configuration of every component. Where, exactly, is your network? In the switch? The drop cables? Bounded by all of the network interface cards in your systems? Any of those physical components can break, resulting in network outages or, more maddeningly, intermittent network failures. Networks are also affected by configuration problems. Incorrect routing information, duplicate host...
4. Web and Application Server Failures
Web and Application Server Failures The bugs that can strike a database can also affect a web server. Of course, many web servers are part of client/server applications that query back-end database servers to service client requests. So, anything affecting the database server will have an adverse effect on the web server as well. However, there are many other places within the web server environment where things might go awry. There are many new places for bugs to crop up, including in the Common Gateway Interfa...
5. Your system fails because the operating system panics
Renewability Let’s say your system fails because the operating system panics. It reboots, restarts applications such as web servers and databases, and continues on as before the failure. What’s the probability of another failure due to an operating system panic? In all likelihood, it’s exactly the same as it was before the reboot. There are many cases, however, in which repairing a system changes the MTBF characteristics of the system, increasing the probability of another failure in the near-te...
6. Direct and Indirect Costs of Downtime
The Costs of Downtime The only way to convince the people who control the purse strings that there is value in protecting uptime is to approach the problem from a dollars-andcents perspective. In this section, we provide some ammunition that should help make the case to even the most stubborn manager. Direct Costs of Downtime The most obvious cost of downtime is probably not the most expensive one: lost user productivity. The actual cost of that downtime is dependent upon what work your user...
7. COST OF DOWNTIME IS NOT A CONSTANT
Further complicating matters is the fact that the cost of downtime is not a constant. We will assume it to be constant for the purposes of our calculations (it makes them much, much simpler), but in reality, the cost of downtime increases as the duration of an outage increases. Consider again the effects of downtime on an e-commerce site. If the site suffers a brief outage (a few seconds), the cost will be minimal, perhaps even negligible. An outage of a minute or less probably will not affect business too badly: All...
Measuring Availability When you discuss availability requirements with a user or project leader, he will invariably tell you that 100 percent availability is required: “Our project is so important that we can’t have any downtime at all.” But the tune usually changes when the project leader finds out how much 100 percent availability would cost. Then the discussion becomes a matter of money, and more of a negotiation process. As you can see in Table 2.1, for many applications, 99 percent uptim...
Defining Downtime Definitions for downtime vary from gentle to tough, and from simple to complex. Easy definitions are often given in terms of failed components, such as the server itself, disks, the network, the operating system, or key applications. Stricter definitions may include slow server or network performance, the inability to restore backups, or simple data inaccessibility. We prefer a very strict definition for downtime: If a user cannot get her job done on time, the system is down. A computer syste...
3. File and Print Server Failures
Network Failures Networks are naturally susceptible to failures because they contain many components and are affected by the configuration of every component. Where, exactly, is your network? In the switch? The drop cables? Bounded by all of the network interface cards in your systems? Any of those physical components can break, resulting in network outages or, more maddeningly, intermittent network failures. Networks are also affected by configuration problems. Incorrect routing information, duplicate host...
4. Web and Application Server Failures
Web and Application Server Failures The bugs that can strike a database can also affect a web server. Of course, many web servers are part of client/server applications that query back-end database servers to service client requests. So, anything affecting the database server will have an adverse effect on the web server as well. However, there are many other places within the web server environment where things might go awry. There are many new places for bugs to crop up, including in the Common Gateway Interfa...
5. Your system fails because the operating system panics
Renewability Let’s say your system fails because the operating system panics. It reboots, restarts applications such as web servers and databases, and continues on as before the failure. What’s the probability of another failure due to an operating system panic? In all likelihood, it’s exactly the same as it was before the reboot. There are many cases, however, in which repairing a system changes the MTBF characteristics of the system, increasing the probability of another failure in the near-te...
6. Direct and Indirect Costs of Downtime
The Costs of Downtime The only way to convince the people who control the purse strings that there is value in protecting uptime is to approach the problem from a dollars-andcents perspective. In this section, we provide some ammunition that should help make the case to even the most stubborn manager. Direct Costs of Downtime The most obvious cost of downtime is probably not the most expensive one: lost user productivity. The actual cost of that downtime is dependent upon what work your user...
7. COST OF DOWNTIME IS NOT A CONSTANT
Further complicating matters is the fact that the cost of downtime is not a constant. We will assume it to be constant for the purposes of our calculations (it makes them much, much simpler), but in reality, the cost of downtime increases as the duration of an outage increases. Consider again the effects of downtime on an e-commerce site. If the site suffers a brief outage (a few seconds), the cost will be minimal, perhaps even negligible. An outage of a minute or less probably will not affect business too badly: All...










