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his chapter will get you started with the basic configuration of your Nagios server to provide monitoring for hosts and services. I ll begin by describing how Nagios works, move on to how it is configured, and then demonstrate how to create the basic configuration objects needed for monitoring your environment. I ll cover a number of topics in this chapter that form the basis for the principles and methods that Nagios uses to monitor your hosts and services. Some of these topics I ll cover in detail, but others I ll just introduce you to and then address them in greater detail in later chapters. As a result of this process of gradual introduction, especially to the more advanced Nagios topics, I recommend you also read and use the Nagios documentation. The Nagios documentation is both expansive and highly detailed. It is a useful resource during the configuration process. The Nagios documentation is provided in HTML form with your Nagios installation and is viewable from the web console. The documentation is also available online at http:// nagios.sourceforge.net/docs/2_0/.

Customer customer_id login password created_on first_name last_name billing_address billing_city billing_province billing_postcode billing_country shipping_address shipping_city shipping_province shipping_postcode shipping_county

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The software development team has found it impossible to create a data model to store all the possible contract terms in the database, because so many different contact terms are possible We can implement this EDI system using a data pipeline that accommodates the various departments needs for flexibility, yet keeps the system manageable The pipeline has two stages, as shown in Figure 10-2: Initial Transformation: Data is received via email, FTP Web service, and so on in either , a flat file or XML It is then converted from the native format to an XML document The transformation logic will be specific to each vendor s file format Database load: Loads the information into the ERP system after applying any special customer-specific logic The pipeline uses a factory to load the assembly and component that processes the data as it flows through the pipeline.

Listing 7-1 contains the create script for the sample schema. Listing 7-1. Create Script for the Sample Schema CREATE TABLE Product ( product_id INT NOT NULL AUTO_INCREMENT , sku VARCHAR(35) NOT NULL , name VARCHAR(150) NOT NULL , description TEXT NOT NULL , weight DECIMAL(7,2) NOT NULL , unit_price DECIMAL(9,2) NOT NULL , PRIMARY KEY (product_id) ); CREATE TABLE Category ( category_id INT NOT NULL AUTO_INCREMENT , parent_id INT NULL , name VARCHAR(100) NOT NULL , description TEXT , left_side INT NOT NULL , right_side INT NOT NULL , PRIMARY KEY (category_id) , INDEX (parent_id) ); CREATE TABLE Product2Category ( product_id INT NOT NULL , category_id INT NOT NULL , PRIMARY KEY (product_id, category_id) ); CREATE TABLE Customer ( customer_id INT NOT NULL AUTO_INCREMENT , login VARCHAR(32) NOT NULL , password VARCHAR(32) NOT NULL , created_on DATE NOT NULL , first_name VARCHAR(30) NOT NULL , last_name VARCHAR(30) NOT NULL , billing_address VARCHAR(100) NOT NULL , billing_city VARCHAR(35) NOT NULL , billing_province CHAR(2) NOT NULL , billing_postcode VARCHAR(8) NOT NULL , billing_country CHAR(2) NOT NULL , shipping_address VARCHAR(100) NOT NULL , shipping_city VARCHAR(35) NOT NULL , shipping_province CHAR(2) NOT NULL

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