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<div class="section" id="systems-administration">
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<h1>Systems Administration<a class="headerlink" href="#systems-administration" title="Permalink to this headline">¶</a></h1>
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<div class="section" id="fabric">
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<h2>Fabric<a class="headerlink" href="#fabric" title="Permalink to this headline">¶</a></h2>
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<p>Fabric is a library for simplifying system administration tasks. While Chef
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and Puppet tend to focus on managing servers and system libraries,
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fabric is more focused on application level tasks such as deployment.</p>
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<p>Install Fabric:</p>
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<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>pip install fabric
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</pre></div>
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</div>
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<p>The following code will create two tasks that we can use: <tt class="docutils literal"><span class="pre">memory_usage</span></tt> and
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<tt class="docutils literal"><span class="pre">deploy</span></tt>. The former will output the memory usage on each machine. The
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latter will ssh into each server, cd to our project directory, activate the
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virtual environment, pull the newest codebase, and restart the application
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server.</p>
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<div class="highlight-python"><div class="highlight"><pre><span class="kn">from</span> <span class="nn">fabric.api</span> <span class="kn">import</span> <span class="n">cd</span><span class="p">,</span> <span class="n">env</span><span class="p">,</span> <span class="n">prefix</span><span class="p">,</span> <span class="n">run</span><span class="p">,</span> <span class="n">task</span>
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<span class="n">env</span><span class="o">.</span><span class="n">hosts</span> <span class="o">=</span> <span class="p">[</span><span class="s">'my_server1'</span><span class="p">,</span> <span class="s">'my_server2'</span><span class="p">]</span>
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<span class="nd">@task</span>
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<span class="k">def</span> <span class="nf">memory_usage</span><span class="p">():</span>
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<span class="n">run</span><span class="p">(</span><span class="s">'free -m'</span><span class="p">)</span>
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<span class="nd">@task</span>
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<span class="k">def</span> <span class="nf">deploy</span><span class="p">():</span>
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<span class="k">with</span> <span class="n">cd</span><span class="p">(</span><span class="s">'/var/www/project-env/project'</span><span class="p">):</span>
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<span class="k">with</span> <span class="n">prefix</span><span class="p">(</span><span class="s">'. ../bin/activate'</span><span class="p">):</span>
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<span class="n">run</span><span class="p">(</span><span class="s">'git pull'</span><span class="p">)</span>
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<span class="n">run</span><span class="p">(</span><span class="s">'touch app.wsgi'</span><span class="p">)</span>
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</pre></div>
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</div>
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<p>With the previous code saved in a file named fabfile.py, we can check memory
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usage with:</p>
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<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>fab memory_usage
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<span class="o">[</span>my_server1<span class="o">]</span> Executing task <span class="s1">'memory'</span>
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<span class="o">[</span>my_server1<span class="o">]</span> run: free -m
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<span class="o">[</span>my_server1<span class="o">]</span> out: total used free shared buffers cached
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<span class="o">[</span>my_server1<span class="o">]</span> out: Mem: 6964 1897 5067 0 166 222
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<span class="o">[</span>my_server1<span class="o">]</span> out: -/+ buffers/cache: 1509 5455
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<span class="o">[</span>my_server1<span class="o">]</span> out: Swap: 0 0 0
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<span class="o">[</span>my_server2<span class="o">]</span> Executing task <span class="s1">'memory'</span>
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<span class="o">[</span>my_server2<span class="o">]</span> run: free -m
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<span class="o">[</span>my_server2<span class="o">]</span> out: total used free shared buffers cached
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<span class="o">[</span>my_server2<span class="o">]</span> out: Mem: 1666 902 764 0 180 572
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<span class="o">[</span>my_server2<span class="o">]</span> out: -/+ buffers/cache: 148 1517
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<span class="o">[</span>my_server2<span class="o">]</span> out: Swap: 895 1 894
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</pre></div>
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</div>
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<p>and we can deploy with:</p>
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<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>fab deploy
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</pre></div>
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</div>
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<p>Additional features include parallel execution, interaction with remote
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programs, and host grouping.</p>
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</div>
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<div class="section" id="chef">
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<h2>Chef<a class="headerlink" href="#chef" title="Permalink to this headline">¶</a></h2>
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<div class="admonition-todo admonition" id="index-0">
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<p class="first admonition-title">Todo</p>
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<p class="last">Write about Chef</p>
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</div>
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</div>
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<div class="section" id="puppet">
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<h2>Puppet<a class="headerlink" href="#puppet" title="Permalink to this headline">¶</a></h2>
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<div class="admonition-todo admonition" id="index-1">
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<p class="first admonition-title">Todo</p>
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<p class="last">Write about Puppet</p>
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</div>
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<div class="section" id="blueprint">
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<h2>Blueprint<a class="headerlink" href="#blueprint" title="Permalink to this headline">¶</a></h2>
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<div class="admonition-todo admonition" id="index-2">
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<p class="first admonition-title">Todo</p>
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<p class="last">Write about Blueprint</p>
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<h2>Buildout<a class="headerlink" href="#buildout" title="Permalink to this headline">¶</a></h2>
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<div class="admonition-todo admonition" id="index-3">
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<p class="first admonition-title">Todo</p>
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<p class="last">Write about Buildout</p>
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This opinionated guide exists to provide both novice and expert Python developers a best-practice handbook to the installation, configuration, and usage of Python on a daily basis.
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<h3><a href="../index.html">Table Of Contents</a></h3>
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<ul>
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<li><a class="reference internal" href="#">Systems Administration</a><ul>
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<li><a class="reference internal" href="#fabric">Fabric</a></li>
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<li><a class="reference internal" href="#chef">Chef</a></li>
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<li><a class="reference internal" href="#puppet">Puppet</a></li>
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<li><a class="reference internal" href="#blueprint">Blueprint</a></li>
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<li><a class="reference internal" href="#buildout">Buildout</a></li>
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<li>Previous: <a href="db.html" title="previous chapter">Databases</a></li>
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