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A JavaScript Application for Server Load Monitoring

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A JavaScript Application for Server Load Monitoring

If you're interested in building your own tool to gauge the metrics of your server load capacities, read on to see how it's done using JavaScript.

· Web Dev Zone ·
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Editorial Note: This article was orignally written by Diana Yovova, Technical Writer and Content Creator for MindFusion.  

Run The Application

Server Load Monitoring Web Application

The chart shows the number of users on a given connection between two stations in the network at any given moment. The graphic includes data for the last 30 seconds. The diagram shows the servers and clients that built the network. By default, the charts show data only for the two most important connections, out of 10. Users can select different connections and view their graphics. The gauge control provides data for the average count of users at any given moment.

I. Project Setup

We create an empty website and add a Scripts folder with the necessary files:


And a reference to jQuery or the jQuery library itself:


We create a blank HTML file and we create three HTML Canvas elements – one for each of the controls: chart, diagram, gauge.

We use the Flexbox layout and we create a CSS file referenced by the index.html file where we write the CSS settings for the layout:

 <link href="common/style.css" rel="stylesheet" /> 

We initialize a section that would have a Flexbox layout:

section {
   display: flex;
   max-width: 700px;

Then place the CSS class used for the <div> elements inside <section>:

 .column {
   margin: 10px 10px 0px 0px; 
   flex: 1 1 0; 
   border: 1px solid #cecece; 

section:first-of-type .column:first-of-type { 
  flex: 1 1 auto; 

We specify that the first column of the second row should be twice as wide as the other column. This is the diagram, and the other column is occupied by the gauge.

 section:nth-of-type(2) .column:first-of-type { 
   flex: 2 2 22; 

Insert your CSS attributes into the HTML as follows: 

   <div class="column"> 
   <canvas id="lineChart"></canvas> 

Note the id="lineChart" attribute – we will use the id to initialize the LineChart object in the *.js file. The diagram and gauge Canvas instances also have ids.

At the end of the index.html, we include a reference to the require.js file to load the chart and gauge libraries this way:

 <script src="Scripts/diagram.js" type="text/javascript"></script>
 <script data-main="charts" src="Scripts/require.js"></script> 

Note: Internet Explorer might not properly load the JavaScript libraries if they are declared at the beginning of the file, (in the header section) before the initialization of the Canvases. Therefore, it is best to put the script references at the bottom, right before the closing </body> tag.

II. The Gauge

The code for the OvalGauge and the LineChart is in a single method:

 var lineChart = null; define(["require", "exports", 
   'MindFusion.Common', 'Scripts/MindFusion.Charting', 'MindFusion.Gauges'], 
 function (require, exports, MindFusion_Common_1, m, g) {
   "use strict"; 
   .................. } 

Before the method, we declare a global variable for the LineChart. We need to access it in the diagram file, so it must have a global visibility.

The OvalGauge control is created using the id of the HTML Canvas:

 var userCounter = g.OvalGauge.create($('#userCounter')[0], false); 

We will use two Events – raised before the background was painted and before the pointer was painted – to customize how the gauge background and pointer look.

 //use custom painting of the background and of the pointer 
userCounter.addEventListener(g.Events.prepaintBackground, onGaugerepaintBackground.bind(this));
userCounter.addEventListener(g.Events.prepaintPointer, onPrepaintPointer.bind(this)); 

The gauge needs a scale – we create an OvalScale and set its min and max value:

var scale = new g.OvalScale(userCounter); 

We will also set all three types of settings on the scale – MajorTickSettings, MiddleTickSettings, and MinorTickSettings

 //initialize the major settings 
var majorSettings = scale.majorTickSettings; 

A CustomInterval at the MajorTickSettings indicates a special range. We will use one to paint in red the portion on the scale that corresponds to the high amount of users:

var interval = new g.CustomInterval(); 

Then we customize the MajorTickSettings, the MiddleTickSettings and MinorTickSettings:

 //initialize the middle settings 
var middleSettings = scale.middleTickSettings; 

  //initalize the minor settings 
var minorSettings = scale.minorTickSettings; 

The scale shows a Range: that is a visual indication of the regions on the gauge. It is determined by its setMinValue and setMaxValue values and in our case, we will show it on the whole gauge:

 //add a range in gradient colors 
var range = new g.Range(); 
     [1, '#ce0000', 0.8, '#ce0000', 0.7, '#FFA500', 0.6, '#FFD700', 0.5, '#008000', 0, '#008000'])); 

The code below is how we handle the PrepaintBackground event to draw a custom background for the gauge:

//paint the background in gradient
function onGaugerepaintBackground(sender, args) {
   var context = args.getContext();
   var element = args.getElement();
   var size = sender.getSize();
   var ellipse = new g.Ellipse();
   args.paintVisualElement(ellipse, size);
   var ellipse = new g.Ellipse();
   ellipse.setFill(g.Utils.createLinearGradient(300, [0, '#808080', 0.2, '#808080', 0.8, '#909090', 1, '#909090']));
   ellipse.setMargin(new g.Thickness(0.015));
   args.paintVisualElement(ellipse, size);

The code that handles the prepaint pointer event is similar. The value of the Pointer is set this way:

 //add some initial value 

When the last chart value changes – each second – we update the pointer value:

var pointer = userCounter.scales[0].pointers[0]; 

III. The Chart

First, we create the LineChart object from the Canvas that we have initialized in the HTML. We take the width and height of the control from its parent container:

var lineChartEl = document.getElementById('lineChart'); 
lineChartEl.width = lineChartEl.offsetParent.clientWidth; 
lineChartEl.height = lineChartEl.offsetParent.clientHeight;
lineChart = new Controls.LineChart(lineChartEl); 

The data for the line series is stored in 10 Series2D instances. For each of them, we need a list with the X- and Y-values. The X-values are the same for all series, the Y-values are randomly generated numbers. All of them are instances of the List class:

var values1 = new Collections.List(); 
var values2 = new Collections.List(); 
var xValues = new Collections.List(); 
var xLabels = new Collections.List(); 

Here's how we fill the xValues list with numbers:

//initialize x-values and labels, generate sample data for the series
for (var i = 0; i &lt; 30; i++) {

The setXLabels method takes care of the custom labels at the X-axis. At each 3rd call, it removes the first three values and adds three new ones: one with the current time stamp and two more as empty strings.

 if (d.getSeconds() % 3 == 0) { 
   //clear the first three values 
   //if the count of the labels is more than 30 
   if (removeFirst) { 
     xLabels.removeAt(0); } 
   //add a label and two empty strings 
   xLabels.add(d.getHours() + ":" + d.getMinutes() + ":" + d.getSeconds()); 

We create the Series2D instances and add them to the Series property of the line chart:

//the series for the chart
var series = new Collections.ObservableCollection(new Array(
    new Charting.Series2D(xValues, values1, xLabels),
    new Charting.Series2D(xValues, values2, null),
    new Charting.Series2D(xValues, values10, null)));

The xLables are just assigned to the first series - they will serve as source labels for the X-axis. To show them, we must first hide the coordinates and assign them to xAxis:

 lineChart.xAxis.labels = xLabels; lineChart.showXCoordinates = false; 

Then, we must “tell” the first series that its labels are used for the X-axis:

 //tell the series that the labels are for the X-axis. 
series.item(0).supportedLabels = m.MindFusion.Charting.LabelKinds.XAxisLabel; 

We use the title property of a Series object to identify the series. That’s why we assign them unique labels:

 //series titles are important - we identify the series with them 
for (var i = 0; i < 4; i++)
  series.item(i).title = "Client" + i; 

for (var i = 0; i < 3; i++) 
  series.item(i + 4).title ="Network" + i; 

for (var i = 0; i < 3; i++) 
  series.item(i + 7).title ="Data" + i; 

Since it is going to be a long chart, we want a second Y-axis to appear to the right. That can be done by adding another YAxisRenderer with the same yAxis to the components rendered by default by the lineChart control. We add the new YAxisRenderer  to a vertical StackPanel:

 var y2Stack = new m.MindFusion.Charting.Components.StackPanel();
 y2Stack.orientation = m.MindFusion.Charting.Components.Orientation.Vertical;
 y2Stack.gridRow = 0;
 //add the stack panel to the last grid column
 y2Stack.gridColumn = lineChart.chartPanel.columns.count() - 1;


The layout manager for a LineChart is a Grid panel. We add a new column to it, where the second Y-axis will be rendered. Then we add the StackPanel with the YAxisRenderer to this column. Next, we add the yAxis and we specify that the plot is not to the left side of it:

 //create the second Y-axis 
var secondYAxis = new Charting.YAxisRenderer(lineChart.yAxis);
secondYAxis.plotLeftSide = false; 

Then we customize the grid and trigger the timer that will update the data values at each second:

lineChart.gridType = Charting.GridType.Crossed;
lineChart.backColor = new Drawing.Color.fromArgb(230, 230, 230);
lineChart.theme.gridColor1 = Drawing.Color.fromArgb(1, 255, 255, 255);
lineChart.theme.gridColor2 = Drawing.Color.fromArgb(1, 255, 255, 255);
lineChart.theme.gridLineColor = Drawing.Color.fromArgb(0.5, 240, 240, 240);
//start the timer
setInterval(setTime, 1000);

Finally, let’s look at the styling of the series. We keep the brushes in a list. The colors for those brushes are stored in a list as shown below – each one with three elements for the red, green, and blue values of the color.

//the colors for the brushes
var brushes = new Collections.List();

var rgbColors = new Collections.List();
rgbColors.add(new Array(102, 154, 204));

What we actually do to show the graphics of the connections that are selected in the diagram is thicken the strokes for those line graphics and set the thickness to the rest to 0.15 to make them barely visible.

We do that by using the thicknesses property of the PerSeriesStyle class that we use for styling the chart.

 lineChart.plot.seriesStyle = new Charting.PerSeriesStyle(brushes, brushes, thicknesses); 

And here is how we create the thicknesses and the brushes:

 //create brushes for the chart 
var thicknesses = new Collections.List(); 
for (var i = 0; i < 10; i++) { 
  var a = rgbColors.item(i); 
  brushes.add(new Drawing.Brush(new Drawing.Color.fromArgb(a[0], a[1], a[2])));
  if (i == 5 || i == 8) 
    thicknesses.add(0.15); } 

Only the thickness 5th and 8th brushes are set to 3, the others are almost zero – enough to draw the silhouettes of the graphics.

And that’s all for this part of the tutorial on how to build the client side of a sample server load monitor application in JavaScript. In Part II, we will look at the diagram control. You can run the sample from here:

Run the online server load monitor application

Here is the link to download the full source code for the application:

Download Source Code

You can also fork it from GitHub.

Find out more about the chart, gauge, and diagram JavaScript libraries from their official pages on the MindFusion website.

web dev ,web application development ,javascript

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