added a Node.js timeseries api example

LICENSE.TXT

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+Copyright (c) 2008-2015, Dynatrace LLC
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the name of the dynaTraceRuxit software nor the names of its contributors
+      may be used to endorse or promote products derived from this software without
+      specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
+EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
+OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT
+SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
+INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
+BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
+ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
+

timeseries-examples/Node.js/LICENSE.TXT

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+Copyright (c) 2008-2015, Dynatrace LLC
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+    * Neither the name of the dynaTraceRuxit software nor the names of its contributors
+      may be used to endorse or promote products derived from this software without
+      specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
+EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
+OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT
+SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
+INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
+BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
+ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+DAMAGE.
+

timeseries-examples/Node.js/README.md

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+## Overview
+
+This Ruxit timeseries data export API example demonstrate the export of CPU timeseries for a given host and how to
+chart the resulting data points by using Google charts.
+Mind that a Node.js service wrapper is used to cope with the Browsers security restriction to only load resources
+from the same origin. The service wrapper also hides the secret API token for accessing the Ruxit tenant data instead
+of exposing it within the JavaScript.
+
+### Ruxit data export API documentation
+
+The full API documentation can be found here: 
+https://ruxit.com/help/api-documentation/v1/timeseries
+
+####`API key`
+The API key for your Ruxit tenant. You can generate a key by following these steps
+
+1. go to your Ruxit environment: https://{tenant}.live.ruxit.com
+2. Click the burger menu in the right upper corner and select **Integration**
+3. You will see the "API" section; 
+4. Enter a description label and click on **Generate**
+5. copy it and use it in your data export API examples
+
+##License
+This module is provided under BSD-3-Clause license. Please check out the details in the LICENSE.txt

timeseries-examples/Node.js/app.js

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+//
+// Local Node.js service that wraps Ruxit Data Export API calls for local JavaScript/Browser usage.
+//
+var express = require('express');
+var app = express();
+var https = require('https');
+
+app.use(express.static('public'));
+
+var YOUR_API_TOKEN = "j2pnF2JGR9mhF1ABFna1_";
+var YOUR_HOST = "HOST-A3C4D3D278C161FA";
+
+//
+// Read the CPU of a given host and return the JSON result
+//
+app.get('/cpu', function (req, res) {
+	var options = {
+		host: 'kyp91462.live.ruxit.com',
+		path: '/api/v1/timeseries/?Api-Token=' + YOUR_API_TOKEN + '&relativeTime=hour&entity=' + YOUR_HOST + '&aggregationType=AVG&timeseriesId=com.ruxit.builtin:host.cpu.user'	
+	};
+
+	callback = function(response) {
+		var str = '';
+		response.on('data', function (chunk) {
+			str += chunk;
+		});
+
+		// all data was received, send the result as JSON
+		response.on('end', function () {
+			res.send(str);
+		});
+	}
+
+	https.request(options, callback).end();
+});
+
+var server = app.listen(8080, function () {
+  var host = server.address().address;
+  var port = server.address().port;
+  console.log('Example app listening at http://%s:%s', host, port);
+});

timeseries-examples/Node.js/public/index.html

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+<html>
+  <head>
+    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.5.2/jquery.min.js"></script>
+	<script type="text/javascript"
+          src="https://www.google.com/jsapi?autoload={
+            'modules':[{
+              'name':'visualization',
+              'version':'1',
+              'packages':['corechart']
+            }]
+          }">
+	</script>
+	<script type="text/javascript">
+		var array = [];
+
+		$.get( "/cpu", function( data ) {
+			// set header titles
+			array.push(['time', 'CPU usage']);
+			var result = JSON.parse( data );
+			array = array.concat(result.result.dataPoints["HOST-A3C4D3D278C161FA"]);
+			// and draw the data
+			drawChart();
+		});
+
+		function drawChart() {
+			var data = google.visualization.arrayToDataTable(array);
+
+			var options = {
+			  title: 'CPU usage',
+			  curveType: 'function',
+			  legend: { position: 'bottom' }
+			};
+
+			var chart = new google.visualization.LineChart(document.getElementById('curve_chart'));
+
+			chart.draw(data, options);
+		}
+    </script>
+  </head>
+  <body>
+    <div id="curve_chart" style="width: 900px; height: 500px"></div>
+  </body>
+</html>