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One common programming practice is to place work into a queue to be processed by a service. For instance, a bank may place an XML-based file in a network directory to be picked up by a service running on another server. The service scans the directory for new files and processes them one at a time. If more than one file is placed in the directory at a time, the service processes them one by one. In a typical environment, new files are placed in this directory infrequently. Based on this information, at first glance, you might think this seems like a good time to start a new thread when a file is found. You re right, but think about what would happen if the service that processes these files was stopped. What happens if a network problem prevents the service from accessing the directory for a long period of time The files would pile up in the directory. When the service finally started again, or was allowed access to the directory once again, each file would essentially spawn a new thread on the service. Anyone who has used this model can tell you that this situation can bring a server to its knees. The file model is just one example. Another similar model may be to use Microsoft BizTalk Server or Microsoft Message Queue with a service that processes items in a queue. All these implementations have the same basic structure. The actual implementation isn t the important thing to note here; the point to walk away with is that if your work is being placed into a queue and you feel that multithreading is the answer; you might want to consider using thread pooling.

Due to the potential uncertainty in Nagios performance, I recommend that you err on the side of caution when sizing your hardware. Even then you may not be able to fully determine the size of the hardware you require until you have started adding hosts and services to be checked and monitoring the resulting performance of your Nagios server.

statements. To be sure we re clear, we do not suggest putting a function in the WHERE clause of a query, unless there is deliberate reason to have it there. Using functions in the WHERE clause invalidates any benefit of using an index. Using functions prevents the database from performing lookups on those index keys, meaning that your query will require a full-table scan. Use caution when building the WHERE clause of your SQL statements, and use a function only if you are sure you do not need the indexes.

Summary

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To reduce the overhead of a particular server, you can also configure your Nagios installation as Tip a distributed environment and deploy multiple Nagios servers. In this configuration you would deploy multiple servers that would conduct the checks of your hosts and services. These servers would then send the results of the checks back to a central server, which would collate and display these results. I discuss this configuration model in 8.

Summary

This chapter introduced the System.Threading namespace and examined the Thread class in detail. We also discussed some basic ideas to help you hone your decision-making skills when it comes to multithreading your applications. You must always keep in mind the fact that threads require resources. Before you consume those resources, analyze the effect their use will have on the system and how you can minimize that overhead. You should consider creating a thread if you are accessing outside resources such as a network share or remote databases. You should also consider spawning a new thread when you plan to execute a lengthy process such as printing, I/O operations, and background data processing. Whatever your situation, keep the number of your threads to a minimum. You ll reduce the overhead on your processor, increase the amount of time that your time slice uses to process instructions within your thread, and reduce the amount of memory required by your application.

You should consider the importance of your monitoring environment to your organization and look at the redundancy and the backup of your Nagios servers. Generally, if you rely on your monitoring infrastructure to provide an integral part of your management infrastructure, you should purchase resilient hardware to run Nagios on. This hardware should include features like redundant power supplies, Redundant Array of Inexpensive Disks (RAID), and failover network connections. You should also look at installing an additional server or servers to provide redundant monitoring capabilities in the event the primary or production Nagios server fails. These servers should be installed in a disaster recovery planning (DRP) site or an alternate location to prevent an outage in your primary site also taking out your redundant server(s).

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