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CHAPTER 1 OVERVIEW OF .NET APPLICATION ARCHITECTURE
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application tier and scale up at the data tier, says the architect who has done his homework (and has a big budget). Clustering works great when you re working with a single physical location. In a disaster recovery scenario with multiple geographic locations, it gets a lot harder and may not even be possible depending on the situation and budget. In such instances, you may still be able to consider clustering, but you ll need to explicitly define the following: A geographically shared RAID or SAN, using a hardware- or software-centric approach to data synchronization The interaction between Windows clustering and SQL Server clustering The size of the pipe between two or more locations Failover vs. failback There are other exceptions to these points as well. For example, you may be able to have more than one copy of a database if it s a reporting server whose data is updated nightly with data from the previous day s transactions and it doesn t change during the course of the day. Scaling out is also possible in the data tier by horizontally partitioning your data. Application architecture is all about your enterprise s exceptions to the rules. And exceptions to those exceptions. And repeat. Scaling out and scaling up are used for more than availability. They ll make another appearance when we discuss (oddly enough) scalability.
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Performance
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Performance is frequently the most difficult metric to ensure, as it is often ill-defined, and many development shops don t have the skill set, experience, time, and/or motivation to design and run performance tests. Consequently, performance problems often first rear their ugly heads after an application is deployed. Further, these problems tend not to show up right away only after sufficient data storage thresholds have been met. Of course the system should respond in less than seven seconds. That s a given, says the consternated manager whose direct reports have been complaining about system performance. Performance strategies can often work directly against other system design decisions implemented to solve other requirements. You can use the layered software architecture to increase maintainability and reuse, though introducing new layers of abstraction does not necessarily increase performance. An overly deep call stack can actually impede it. However, other driving factors may actually increase performance. It depends. Performance is closely related to other aspects of the system, like availability, scalability, and robustness. Often a problem in one of these other areas first shows up as a performance problem. A bad memory chip is an availability issue, but it may first be reported as a performance problem. Similarly, for availability or scalability reasons, you may choose to persist data via asynchronous mechanisms. This decision may actually be perceived by the user as a performance issue. For example: I made an update to this widget record, but my changes weren t immediate. I had to wait 4.3422 seconds for my changes to take effect. While maybe it s not ideal for the user, an asynchronous mechanism like Message Queuing (MSMQ) allows for peak load balancing, guaranteed message delivery, and a looser coupling between the presentation tier and service availability. Weighing these against users experiences and their
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CHAPTER 1 OVERVIEW OF .NET APPLICATION ARCHITECTURE
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tendency to crave immediate validation of their work is another architectural trade-off you must sometimes make. Measurable requirements are necessary in order to test the performance of the system before putting it into production. These measures have to be more concrete than It has to be as fast as possible, or There must be no noticeable delay. There are many measures you can use, and you must design a load test that accurately reflects the expected use of the application in the real world. If you re expecting peaks in traffic, you must test a load representing these peaks. You can measure the number of expected concurrent users, the transactions that are processed per second, or the raw throughput of the web server s response stream. Ideally, you should test the system in its less-than-optimum states as well. If you have the website balanced between two web servers, what happens when one of them goes down Can a single box deal with the entire load If not, you may need to add a third server to the mix, two to deal with the expected load, and a third for availability (n+1). There are many tools available from Microsoft that can help you with this process (see Table 1-1). Table 1-1. Tools for Measuring Performance
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