summaryrefslogtreecommitdiffstats
path: root/diagrams/ephemeral-nodes-two-parents.xml
blob: 999efb4d57750f5a54ff94277acbebaf0ed51d18 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
<mxfile host="app.diagrams.net" modified="2023-03-30T15:42:55.958Z" agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36" etag="f9HeTiQgGZGqG8ScI6UR" version="21.1.2" type="device">
  <diagram name="Page-1" id="0">
    <mxGraphModel dx="2924" dy="1059" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="850" pageHeight="1100" math="0" shadow="0">
      <root>
        <mxCell id="0" style=";html=1;" />
        <mxCell id="1" style=";html=1;" parent="0" />
        <mxCell id="571" value="" style="shadow=0;dashed=0;html=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.veeam.3d.vm_linux;" parent="1" vertex="1">
          <mxGeometry x="-100" y="440" width="46" height="60" as="geometry" />
        </mxCell>
        <mxCell id="572" value="" style="shadow=0;dashed=0;html=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.veeam.3d.vm_linux;" parent="1" vertex="1">
          <mxGeometry x="-54" y="460" width="46" height="60" as="geometry" />
        </mxCell>
        <mxCell id="573" value="" style="shadow=0;dashed=0;html=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.veeam.3d.vm_linux;" parent="1" vertex="1">
          <mxGeometry x="-8" y="480" width="46" height="60" as="geometry" />
        </mxCell>
        <mxCell id="574" value="" style="shadow=0;dashed=0;html=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.veeam.3d.vm_linux;" parent="1" vertex="1">
          <mxGeometry x="38" y="500" width="46" height="60" as="geometry" />
        </mxCell>
        <mxCell id="575" value="" style="shadow=0;dashed=0;html=1;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.veeam.3d.vm_linux;" parent="1" vertex="1">
          <mxGeometry x="84" y="520" width="46" height="60" as="geometry" />
        </mxCell>
        <mxCell id="577" value="Ephemeral nodes" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;rotation=21;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-90.00000000000001" y="535" width="130" height="20" as="geometry" />
        </mxCell>
        <mxCell id="581" value="You" style="image;html=1;labelBackgroundColor=#ffffff;image=img/lib/clip_art/people/Worker_Man_128x128.png;fontSize=16;" parent="1" vertex="1">
          <mxGeometry x="-696.2" y="180" width="133" height="120" as="geometry" />
        </mxCell>
        <mxCell id="601" style="edgeStyle=orthogonalEdgeStyle;curved=1;rounded=0;html=1;exitX=0.5;exitY=1;exitPerimeter=0;entryX=0.615;entryY=0.265;entryPerimeter=0;dashed=1;dashPattern=1 1;startArrow=classic;startFill=1;endArrow=none;endFill=0;jettySize=auto;orthogonalLoop=1;" parent="1" source="587" target="572" edge="1">
          <mxGeometry relative="1" as="geometry" />
        </mxCell>
        <mxCell id="602" style="edgeStyle=orthogonalEdgeStyle;curved=1;rounded=0;html=1;exitX=0.5;exitY=1;exitPerimeter=0;entryX=0.634;entryY=0.313;entryPerimeter=0;dashed=1;dashPattern=1 1;startArrow=classic;startFill=1;endArrow=none;endFill=0;jettySize=auto;orthogonalLoop=1;" parent="1" source="587" target="571" edge="1">
          <mxGeometry relative="1" as="geometry" />
        </mxCell>
        <mxCell id="603" style="edgeStyle=orthogonalEdgeStyle;curved=1;rounded=0;html=1;exitX=0.5;exitY=1;exitPerimeter=0;entryX=0.646;entryY=0.284;entryPerimeter=0;dashed=1;dashPattern=1 1;startArrow=classic;startFill=1;endArrow=none;endFill=0;jettySize=auto;orthogonalLoop=1;exitDx=0;exitDy=0;" parent="1" source="Y7QUn97zg9Ut-nAw6qI5-635" target="575" edge="1">
          <mxGeometry relative="1" as="geometry" />
        </mxCell>
        <mxCell id="587" value="" style="dashed=0;html=1;shape=mxgraph.aws2.security_and_identity.directory_service;strokeColor=none;" parent="1" vertex="1">
          <mxGeometry x="-11" y="297" width="90" height="96" as="geometry" />
        </mxCell>
        <mxCell id="609" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cdn1.iconfinder.com/data/icons/social-media-2112/29/Asset_35-128.png" parent="1" vertex="1">
          <mxGeometry x="-472" y="222.5" width="35" height="35" as="geometry" />
        </mxCell>
        <mxCell id="610" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cdn4.iconfinder.com/data/icons/address-book-providers-in-colors/512/gmail-128.png" parent="1" vertex="1">
          <mxGeometry x="-430" y="224.5" width="33" height="33" as="geometry" />
        </mxCell>
        <mxCell id="611" value="&lt;div style=&quot;&quot;&gt;&lt;b&gt;Alerts&amp;nbsp;&lt;/b&gt;for all nodes&amp;nbsp;&lt;span style=&quot;background-color: initial;&quot;&gt;are sent by &lt;/span&gt;&lt;b style=&quot;background-color: initial;&quot;&gt;Netdata cloud&lt;/b&gt;&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-529" y="190" width="310" height="20" as="geometry" />
        </mxCell>
        <mxCell id="613" value="&lt;div style=&quot;text-align: left&quot;&gt;&lt;b&gt;&lt;font style=&quot;font-size: 14px&quot;&gt;Netdata agents (parents)&lt;/font&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;- 2 year retention for all children with additional storage&amp;nbsp;&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;&amp;nbsp; configured for DBENGINE&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;- Each parent pushes metrics in real-time to the other parent&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;font style=&quot;border-color: var(--border-color);&quot;&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;- Are connected to Netdata Cloud via the ACLK&lt;/div&gt;&lt;/div&gt;&lt;/font&gt;&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;font style=&quot;border-color: var(--border-color);&quot;&gt;&amp;nbsp; - Run health checks and send alert info&lt;/font&gt;&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&amp;nbsp; - Send metadata about collected metrics&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&amp;nbsp; - Respond to requests for data&lt;/div&gt;&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-20" y="100" width="400" height="140" as="geometry" />
        </mxCell>
        <mxCell id="619" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cdn1.iconfinder.com/data/icons/CrystalClear/128x128/apps/Login-Manager.png" parent="1" vertex="1">
          <mxGeometry x="-760" y="346" width="128" height="128" as="geometry" />
        </mxCell>
        <mxCell id="623" value="&lt;b style=&quot;border-color: var(--border-color);&quot;&gt;Netdata agents (children)&amp;nbsp;&lt;/b&gt;&lt;b style=&quot;border-color: var(--border-color); background-color: initial;&quot;&gt;on each node&lt;/b&gt;&lt;b style=&quot;border-color: var(--border-color);&quot;&gt;&lt;br style=&quot;border-color: var(--border-color);&quot;&gt;&lt;/b&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;font style=&quot;border-color: var(--border-color);&quot;&gt;- No persistent metric retention (memory mode RAM)&lt;/font&gt;&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;span style=&quot;background-color: initial;&quot;&gt;- Not connected to Netdata cloud&lt;/span&gt;&lt;br&gt;&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;span style=&quot;background-color: initial;&quot;&gt;- No agent dashboard&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;font style=&quot;border-color: var(--border-color);&quot;&gt;&lt;div style=&quot;border-color: var(--border-color);&quot;&gt;&lt;div&gt;- Push metrics in real time to the first available parent&lt;/div&gt;&lt;div&gt;- Do not run health checks (no alert notifications)&lt;/div&gt;&lt;/div&gt;&lt;/font&gt;&lt;/div&gt;&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-90" y="600" width="350" height="110" as="geometry" />
        </mxCell>
        <mxCell id="635" value="&lt;div style=&quot;&quot;&gt;- Real-time dashboards with&amp;nbsp;&lt;span style=&quot;background-color: initial; border-color: var(--border-color);&quot;&gt;long history&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;&lt;span style=&quot;background-color: initial; border-color: var(--border-color);&quot;&gt;- Advanced grouping and filtering&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;- Advanced role based access&lt;br&gt;&lt;/div&gt;&lt;div style=&quot;&quot;&gt;- Anomaly detection&lt;/div&gt;&lt;div style=&quot;&quot;&gt;- Custom dashboards&lt;/div&gt;&lt;div style=&quot;&quot;&gt;- Event feed&lt;/div&gt;&lt;div style=&quot;&quot;&gt;- Functions&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-584" y="440" width="270" height="130" as="geometry" />
        </mxCell>
        <mxCell id="51a1673e1687404a-636" value="Your users" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=16;" parent="1" vertex="1">
          <mxGeometry x="-736.2" y="480" width="100" height="30" as="geometry" />
        </mxCell>
        <mxCell id="51a1673e1687404a-637" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cdn1.iconfinder.com/data/icons/metro-ui-dock-icon-set--icons-by-dakirby/128/Notifications.png;fontSize=14;" parent="1" vertex="1">
          <mxGeometry x="-390" y="224.5" width="32" height="32" as="geometry" />
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-643" style="edgeStyle=orthogonalEdgeStyle;curved=1;rounded=0;html=1;exitX=0.5;exitY=1;exitPerimeter=0;dashed=1;dashPattern=1 1;startArrow=classic;startFill=1;endArrow=none;endFill=0;jettySize=auto;orthogonalLoop=1;exitDx=0;exitDy=0;" parent="1" source="587" edge="1">
          <mxGeometry relative="1" as="geometry">
            <mxPoint x="395" y="436" as="sourcePoint" />
            <mxPoint x="20" y="500" as="targetPoint" />
            <Array as="points">
              <mxPoint x="34" y="430" />
              <mxPoint x="20" y="430" />
            </Array>
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-645" style="edgeStyle=orthogonalEdgeStyle;curved=1;rounded=0;html=1;exitX=0.5;exitY=1;exitPerimeter=0;entryX=0.696;entryY=0.333;entryPerimeter=0;dashed=1;dashPattern=1 1;startArrow=classic;startFill=1;endArrow=none;endFill=0;jettySize=auto;orthogonalLoop=1;exitDx=0;exitDy=0;entryDx=0;entryDy=0;" parent="1" source="Y7QUn97zg9Ut-nAw6qI5-635" target="574" edge="1">
          <mxGeometry relative="1" as="geometry">
            <mxPoint x="225" y="396" as="sourcePoint" />
            <mxPoint x="124" y="547" as="targetPoint" />
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-651" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;curved=1;dashed=1;" parent="1" target="581" edge="1">
          <mxGeometry relative="1" as="geometry">
            <mxPoint x="-480" y="240" as="sourcePoint" />
            <mxPoint x="-154" y="234" as="targetPoint" />
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-653" value="&lt;b&gt;Netdata Infrastructure Monitoring&lt;/b&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=16;" parent="1" vertex="1">
          <mxGeometry x="-580" y="420" width="280" height="30" as="geometry" />
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-657" value="" style="shape=flexArrow;endArrow=classic;startArrow=classic;html=1;rounded=0;fillColor=#fff2cc;strokeColor=#d6b656;" parent="1" edge="1">
          <mxGeometry width="100" height="100" relative="1" as="geometry">
            <mxPoint x="-190" y="349.5" as="sourcePoint" />
            <mxPoint x="-40" y="349.5" as="targetPoint" />
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-658" value="ACLK" style="edgeLabel;html=1;align=center;verticalAlign=middle;resizable=0;points=[];" parent="_r7ckvCebE4g1QilT3za-657" vertex="1" connectable="0">
          <mxGeometry x="-0.4156" y="1" relative="1" as="geometry">
            <mxPoint x="32" y="17" as="offset" />
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-666" value="Netdata Cloud" style="ellipse;shape=cloud;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" parent="1" vertex="1">
          <mxGeometry x="-367" y="280" width="150" height="140" as="geometry" />
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-668" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;curved=1;dashed=1;exitX=0.4;exitY=0.1;exitDx=0;exitDy=0;exitPerimeter=0;entryX=1;entryY=0.5;entryDx=0;entryDy=0;" parent="1" source="_r7ckvCebE4g1QilT3za-666" target="51a1673e1687404a-637" edge="1">
          <mxGeometry relative="1" as="geometry">
            <mxPoint x="-307" y="270" as="sourcePoint" />
            <mxPoint x="-390" y="270" as="targetPoint" />
          </mxGeometry>
        </mxCell>
        <mxCell id="_r7ckvCebE4g1QilT3za-669" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=default;verticalAlign=top;aspect=fixed;imageAspect=0;image=data:image/png,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;" parent="1" vertex="1">
          <mxGeometry x="-563.2" y="295.83" width="180" height="108.35" as="geometry" />
        </mxCell>
        <mxCell id="Y7QUn97zg9Ut-nAw6qI5-635" value="" style="dashed=0;html=1;shape=mxgraph.aws2.security_and_identity.directory_service;strokeColor=none;" vertex="1" parent="1">
          <mxGeometry x="140" y="297" width="90" height="96" as="geometry" />
        </mxCell>
        <mxCell id="Y7QUn97zg9Ut-nAw6qI5-636" value="" style="endArrow=classic;startArrow=classic;html=1;rounded=0;entryX=0;entryY=0.5;entryDx=0;entryDy=0;entryPerimeter=0;exitX=1;exitY=0.5;exitDx=0;exitDy=0;exitPerimeter=0;" edge="1" parent="1" source="587" target="Y7QUn97zg9Ut-nAw6qI5-635">
          <mxGeometry width="50" height="50" relative="1" as="geometry">
            <mxPoint x="-30" y="570" as="sourcePoint" />
            <mxPoint x="20" y="520" as="targetPoint" />
          </mxGeometry>
        </mxCell>
        <mxCell id="Y7QUn97zg9Ut-nAw6qI5-637" value="&lt;div style=&quot;text-align: left&quot;&gt;&lt;span style=&quot;background-color: initial;&quot;&gt;&lt;b&gt;Parent 1&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;&lt;br&gt;&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" vertex="1" parent="1">
          <mxGeometry x="4" y="260" width="80" height="40" as="geometry" />
        </mxCell>
        <mxCell id="Y7QUn97zg9Ut-nAw6qI5-638" value="&lt;div style=&quot;text-align: left&quot;&gt;&lt;span style=&quot;background-color: initial;&quot;&gt;&lt;b&gt;Parent 2&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style=&quot;text-align: left&quot;&gt;&lt;br&gt;&lt;/div&gt;" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=14;" vertex="1" parent="1">
          <mxGeometry x="150" y="260" width="80" height="40" as="geometry" />
        </mxCell>
      </root>
    </mxGraphModel>
  </diagram>
</mxfile>