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Titlebook: Pro Python System Administration; Rytis Sileika,Duncan Parkes,Michelle Lowman,Marily Book 2010 Rytis Sileika 2010 Apache.MySQL.database.ma

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發(fā)表于 2025-3-23 10:03:39 | 只看該作者
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發(fā)表于 2025-3-23 19:50:46 | 只看該作者
Gathering and Presenting Statistical Data from Apache Log Files,pache log files. Rather than creating a monolithic application, we’ll use the modular approach. Once we have a base framework, we’ll create a plug-in for it that performs the analysis based on the geographical location of the requestor.
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發(fā)表于 2025-3-24 18:36:12 | 只看該作者
Statistics Gathering and Reporting,ents: a monitoring server and a monitoring agent component that can collect and store the statistical data from various sources. To make this data really useful, we need to analyze it, derive some conclusions, and present the results to the end users. In this chapter, we’ll create a simple web-based
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發(fā)表于 2025-3-24 22:44:28 | 只看該作者
Automatic MySQL Database Performance Tuning,nd an application’s functionality by implementing new methods outside the main application code. The new framework will allow for the plug-ins to generate data and submit it back to the application, so the other plug-ins are able to reuse it. Based on the new framework, we will build an application
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發(fā)表于 2025-3-25 01:16:04 | 只看該作者
Using Amazon EC2/S3 as a Data Warehouse Solution,rge vendors provide cloud computing services, such as Amazon, IBM, Google, Microsoft and VMWare. Most of these services provide an API interface that allows controlling the virtual machine instances and the virtual storage devices. In this chapter, we will investigate how to control Amazon Elastic C
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