Pro Python System Administration by Rytis Sileika

By Rytis Sileika

As time is going on, method directors are provided with more and more complex demanding situations. within the early days, a group of engineers may need needed to take care of one or platforms. nowadays, one engineer can administer 1000s or hundreds of thousands of systems.

System directors are progressively exchanging their instruments with extra complex and versatile ones. one of many offerings is Python. Structurally, Python is a contemporary, high-level language with a really fresh syntax. Python comes with many integrated libraries that may make automation projects more straightforward. It additionally has broad set of third-party libraries and a really lively improvement neighborhood. this adaptability makes Python a sensible choice for a wide selection of initiatives, from prototyping technology purposes to method upkeep and management jobs.
* This booklet explains and indicates the best way to observe Python scripting in perform. not like nearly all of the Python books, it is going to assist you to method and unravel real-world matters that the majority process directors will encounter of their careers.
* during this ebook, you'll find numerous tasks within the different types of community management, net server management, and tracking and database administration. In each one venture, we'll outline the matter, layout the answer, and battle through the extra fascinating implementation steps.
* every one venture is followed with the resource code of a completely operating prototype, which you’ll be ready to use instantly or adapt for your specifications and atmosphere.
<h3>What you’ll learn</h3> * resolve real-world process management difficulties utilizing Python.
* deal with units with SNMP and cleaning soap.
* construct a allotted tracking process.
* deal with net functions and parse advanced log documents.
* instantly visual display unit and deal with MySQL databases.
<h3>Who this booklet is for</h3>
This ebook is basically aimed toward skilled procedure directors whose day by day projects contain taking care of and coping with small-to-medium-sized server estates. it is going to even be necessary for procedure directors who are looking to study extra approximately automation and wish to use their Python wisdom to resolve numerous process management problems.

Python builders also will make the most of examining this e-book, specifically in the event that they are focused on constructing automation and administration tools.

This booklet assumes that readers already use Python and are happy with the language. lots of the Linux distributions include Python and numerous libraries (such as Django, PIL and SciPy) packaged and on hand, yet uncomplicated wisdom of putting in programs in a Linux/Unix surroundings is advised.
<h3>Table of Contents</h3>
<ol> *  Reading and gathering functionality information utilizing SNMP1 
* coping with units utilizing the cleaning soap API  
* making a net software for IP handle Accountancy   
* Integrating the IP deal with software with DHCP 
* retaining an inventory of digital Hosts in an Apache Configuration File   
* amassing and featuring Statistical info from Apache Log Files  
* appearing complicated Searches and Reporting on program Log Files   
* an internet site Availability fee Script for Nagios  
* administration and tracking Subsystem  
* distant tracking Agents 
* information accumulating and Reporting   
* automated MySQL Database functionality Tuning  
* utilizing Amazon EC2/S3 as a knowledge Warehouse answer

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Example text

This step is implicitly performed inside many built-in functions, such as min(). If those functions are able to operate without building a complete list, you can use generators to improve dramatically performance over the use of other options. If they do have to create a new list, you’re not losing anything by delaying until the function really needs to create it. But notice what happens if you iterate over the generator twice. The second time through, you get an error that you tried to pass in an empty sequence.

Because no exceptions are raised, it doesn’t look like anything is actually broken in the code. Instead, it simply looks like the first value in the expression was false, because it’s returning the value that you would expect in that case. This may lead you to try to debug whatever code defines that value, rather than looking at the real problem, which is the value between the two operators. Ultimately, what makes it so hard to pin down is that you have to distrust your own code, removing any assumptions you may have had about how it should work.

Of course, you also won’t have the file available to your code, so it’d be of little use, but there’s nothing in Python that prevents you from doing so. If you include an as clause when using a context manager that doesn’t provide an object, the variable you define will simply be populated with None instead, because all functions return None if no other value is specified. There are several context managers available in Python, some of which will be detailed throughout the rest of this book. In addition, Chapter 5 shows how you can write your own context managers so that you can customize the contextual behavior to match the needs of your own code.

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