5980b18ec · cryptotaxi247/netdata-1

@@ -1 +1,1113 @@

1 -<mxfile modified="2019-07-10T07:30:20.643Z" host="www.draw.io" agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.80 Safari/537.36" version="10.9.2" etag="JRR-u-yNVbUJwUu5Enbm" type="device"><diagram id="319b92f5-ce0c-3638-1d72-e7e1d323a6f9" name="Page-1">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</diagram></mxfile>

\ No newline at end of file

1 +<mxfile modified="2023-01-12T11:39:05.644Z" host="app.diagrams.net" agent="5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36" etag="kv6S--5phRTPzzmju7bI" version="20.8.4" type="github">

2 + <diagram id="319b92f5-ce0c-3638-1d72-e7e1d323a6f9" name="Page-1">

3 + <mxGraphModel dx="1354" dy="644" grid="0" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="850" pageHeight="1100" background="#ffffff" math="0" shadow="0">

4 + <root>

5 + <mxCell id="0" />

6 + <mxCell id="1" parent="0" />

7 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin/nut" id="129">

8 + <mxCell style="group" parent="1" vertex="1" connectable="0">

9 + <mxGeometry x="348" y="1688" width="112" height="52" as="geometry" />

10 + </mxCell>

11 + </UserObject>

12 + <UserObject label="" link="https://github.com/firehol/netdata/blob/master/conf.d/charts.d/nut.conf" id="130">

13 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528949/3bf2bc06-43bf-11e7-9e5a-7e04a9138c37.png;" parent="129" vertex="1">

14 + <mxGeometry width="52" height="52" as="geometry" />

15 + </mxCell>

16 + </UserObject>

17 + <UserObject label="Network<div>UPS</div><div>Tools</div>" link="https://github.com/firehol/netdata/blob/master/conf.d/charts.d/nut.conf" id="131">

18 + <mxCell style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=13;fontStyle=1" parent="129" vertex="1">

19 + <mxGeometry x="52" y="1" width="60" height="40" as="geometry" />

20 + </mxCell>

21 + </UserObject>

22 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin/opensips" id="2">

23 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528626/8172be36-43b8-11e7-8bc5-ab72292f713c.png;" parent="1" vertex="1">

24 + <mxGeometry x="980" y="1706" width="157" height="37" as="geometry" />

25 + </mxCell>

26 + </UserObject>

27 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/couchdb" linkTarget="_blank" id="3">

28 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/31036171-c62e6012-a573-11e7-92b1-d385911756fb.png;imageBackground=none;" parent="1" vertex="1">

29 + <mxGeometry x="810" y="1515" width="156" height="44" as="geometry" />

30 + </mxCell>

31 + </UserObject>

32 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/retroshare" id="4">

33 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528653/838a9446-43b8-11e7-95eb-22c83b65876c.png;" parent="1" vertex="1">

34 + <mxGeometry x="400" y="1638" width="198" height="43" as="geometry" />

35 + </mxCell>

36 + </UserObject>

37 + <UserObject label="" link="https://github.com/firehol/netdata/wiki/netdata-for-IoT" id="5">

38 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528606/807278dc-43b8-11e7-9a0f-3122d40a297b.png;" parent="1" vertex="1">

39 + <mxGeometry x="1154" y="2050" width="82" height="86" as="geometry" />

40 + </mxCell>

41 + </UserObject>

42 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/messagebird" id="6">

43 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528607/80773520-43b8-11e7-8010-5219c75fbe9b.png;" parent="1" vertex="1">

44 + <mxGeometry x="576" y="410" width="195" height="38" as="geometry" />

45 + </mxCell>

46 + </UserObject>

47 + <mxCell id="7" value="" style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=none;gradientColor=#CCFFFF;fontSize=13;align=center;dashed=1;perimeterSpacing=0;opacity=30;rounded=0;shadow=0;glass=0;comic=0;strokeWidth=3;dashPattern=1 1;" parent="1" vertex="1">

48 + <mxGeometry x="70" y="552" width="1171" height="471" as="geometry" />

49 + </mxCell>

50 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/phpfpm" linkTarget="_blank" id="8">

51 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528604/806dd3ae-43b8-11e7-90cd-ec59e7e93db8.png;" parent="1" vertex="1">

52 + <mxGeometry x="82" y="1530" width="124" height="42" as="geometry" />

53 + </mxCell>

54 + </UserObject>

55 + <UserObject label="<font><b>APM<br>Application Metrics</b></font><div>statsd protocol</div><div>(TCP or UDP)</div>" link="https://github.com/netdata/netdata/tree/master/collectors/statsd.plugin" id="9">

56 + <mxCell style="ellipse;shape=cloud;whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;gradientColor=#CCFFFF;" parent="1" vertex="1">

57 + <mxGeometry x="1022" y="1032" width="208" height="158" as="geometry" />

58 + </mxCell>

59 + </UserObject>

60 + <UserObject label="<b><font style="font-size: 16px">Streaming</font></b><div>Database Replication</div>" link="https://github.com/netdata/netdata/tree/master/streaming" id="10">

61 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

62 + <mxGeometry x="1034" y="690" width="202" height="97" as="geometry" />

63 + </mxCell>

64 + </UserObject>

65 + <UserObject label="" link="https://github.com/firehol/netdata/tree/master/python.d#varnish-cache" id="11">

66 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528611/80c7208a-43b8-11e7-9374-14f21e84f31c.png;" parent="1" vertex="1">

67 + <mxGeometry x="1050" y="1556" width="93" height="93" as="geometry" />

68 + </mxCell>

69 + </UserObject>

70 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/fail2ban" id="12">

71 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528612/80cb72d4-43b8-11e7-92c2-b61bc6187be6.png;" parent="1" vertex="1">

72 + <mxGeometry x="1151" y="1312" width="95" height="78" as="geometry" />

73 + </mxCell>

74 + </UserObject>

75 + <UserObject label="<div><b><font style="font-size: 14px">fping.plugin</font></b></div><div><span style="font-size: 14px">network latency</span></div><div><span style="font-size: 14px">monitoring</span></div>" link="https://learn.netdata.cloud/docs/agent/collectors/fping.plugin" linkTarget="_blank" id="13">

76 + <mxCell style="whiteSpace=wrap;html=1;fontSize=12;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

77 + <mxGeometry x="484.33349609375" y="1034" width="110" height="60" as="geometry" />

78 + </mxCell>

79 + </UserObject>

80 + <UserObject label="<div><b><font style="font-size: 14px">freeipmi.plugin</font></b></div><div><span style="font-size: 14px">enterprise h/w</span></div><div><span style="font-size: 14px">monitoring</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/freeipmi.plugin" id="14">

81 + <mxCell style="whiteSpace=wrap;html=1;fontSize=12;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

82 + <mxGeometry x="163" y="1034" width="110" height="60" as="geometry" />

83 + </mxCell>

84 + </UserObject>

85 + <UserObject label="<span>To another</span><div>netdata</div>" link="https://github.com/netdata/netdata/tree/master/streaming#options-for-the-sending-node" id="15">

86 + <mxCell style="ellipse;shape=cloud;whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

87 + <mxGeometry x="1090" y="557" width="150" height="120" as="geometry" />

88 + </mxCell>

89 + </UserObject>

90 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/exim" id="17">

91 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528609/809837e8-43b8-11e7-9bcf-474b6d87fbc5.png;" parent="1" vertex="1">

92 + <mxGeometry x="605.5" y="1643" width="61" height="46" as="geometry" />

93 + </mxCell>

94 + </UserObject>

95 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/dovecot" id="18">

96 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528610/80b618bc-43b8-11e7-873f-b32a36890b3f.png;" parent="1" vertex="1">

97 + <mxGeometry x="690" y="1627" width="96" height="39" as="geometry" />

98 + </mxCell>

99 + </UserObject>

100 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/node.d.plugin/named" id="19">

101 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528618/8113194a-43b8-11e7-9cb2-fe4cdd112fec.png;" parent="1" vertex="1">

102 + <mxGeometry x="1067.5" y="1310" width="74" height="74" as="geometry" />

103 + </mxCell>

104 + </UserObject>

105 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/apache" linkTarget="_blank" id="20">

106 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528622/8135d458-43b8-11e7-8419-a23f1dc5a2d0.png;" parent="1" vertex="1">

107 + <mxGeometry x="86" y="1440" width="136" height="71" as="geometry" />

108 + </mxCell>

109 + </UserObject>

110 + <mxCell id="21" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

111 + <mxGeometry x="113" y="1147" width="110" height="60" as="geometry" />

112 + </mxCell>

113 + <mxCell id="22" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

114 + <mxGeometry x="103" y="1137" width="110" height="60" as="geometry" />

115 + </mxCell>

116 + <mxCell id="23" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

117 + <mxGeometry x="264" y="1137" width="110" height="60" as="geometry" />

118 + </mxCell>

119 + <mxCell id="24" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

120 + <mxGeometry x="444" y="1159" width="110" height="60" as="geometry" />

121 + </mxCell>

122 + <mxCell id="25" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

123 + <mxGeometry x="434" y="1149" width="110" height="60" as="geometry" />

124 + </mxCell>

125 + <mxCell id="26" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

126 + <mxGeometry x="424" y="1139" width="110" height="60" as="geometry" />

127 + </mxCell>

128 + <mxCell id="27" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

129 + <mxGeometry x="414" y="1129" width="110" height="60" as="geometry" />

130 + </mxCell>

131 + <mxCell id="28" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

132 + <mxGeometry x="95" y="1125" width="110" height="60" as="geometry" />

133 + </mxCell>

134 + <mxCell id="29" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

135 + <mxGeometry x="254" y="1126" width="110" height="60" as="geometry" />

136 + </mxCell>

137 + <mxCell id="30" value="" style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

138 + <mxGeometry x="674" y="887" width="557" height="130" as="geometry" />

139 + </mxCell>

140 + <UserObject label="<font style="font-size: 20px">metrics database</font><div><span style="font-weight: normal"><font style="font-size: 15px">(organized in hosts, charts and dimensions)</font></span></div>" link="https://github.com/netdata/netdata/tree/master/database#netdata-database" id="31">

141 + <mxCell style="whiteSpace=wrap;html=1;fontSize=18;fontStyle=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

142 + <mxGeometry x="254" y="690" width="770" height="93" as="geometry" />

143 + </mxCell>

144 + </UserObject>

145 + <UserObject label="<div><font style="font-size: 16px"><b>plugins.d</b></font></div><font style="font-size: 16px"><b>external plugins API</b></font><div><font style="font-size: 14px">text format, over pipes</font></div>" link="https://github.com/netdata/netdata/tree/master/collectors/plugins.d" id="32">

146 + <mxCell style="whiteSpace=wrap;html=1;fontSize=16;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

147 + <mxGeometry x="74" y="887" width="580" height="130" as="geometry" />

148 + </mxCell>

149 + </UserObject>

150 + <UserObject label="<font style="font-size: 18px"><b>internal&nbsp;</b><b>data collection API</b></font><div><font style="font-size: 16px">(with add-only access to the database)</font></div>" link="https://github.com/netdata/netdata/tree/master/collectors#internal-plugins-api" id="33">

151 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

152 + <mxGeometry x="74" y="796" width="1160" height="77" as="geometry" />

153 + </mxCell>

154 + </UserObject>

155 + <UserObject label="<font style="font-size: 16px"><b>Linux</b></font><div><span style="font-size: 14px">data collection</span></div><div><span style="font-size: 14px">(mainly /proc and /sys)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/proc.plugin#procplugin" id="34">

156 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;" parent="1" vertex="1">

157 + <mxGeometry x="684" y="897" width="177" height="60" as="geometry" />

158 + </mxCell>

159 + </UserObject>

160 + <UserObject label="<div><b><font style="font-size: 16px">FreeBSD</font></b></div><div><span style="font-size: 14px">data collection</span></div><div><span style="font-size: 14px">(mainly sysctl)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/freebsd.plugin" id="35">

161 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;" parent="1" vertex="1">

162 + <mxGeometry x="871" y="897" width="110" height="60" as="geometry" />

163 + </mxCell>

164 + </UserObject>

165 + <UserObject label="<div><b><font style="font-size: 16px">MacOS</font></b></div><div><span style="font-size: 14px">data collection</span></div><div><span style="font-size: 14px">(mainly sysctl)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/macos.plugin" id="36">

166 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;" parent="1" vertex="1">

167 + <mxGeometry x="991" y="897" width="110" height="60" as="geometry" />

168 + </mxCell>

169 + </UserObject>

170 + <mxCell id="37" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;gradientColor=#ffd966;" parent="1" vertex="1">

171 + <mxGeometry x="369" y="863" width="70" height="30" as="geometry" />

172 + </mxCell>

173 + <mxCell id="38" value="<div style="text-align: center"><span><b><font style="font-size: 16px">netdata internal plugins</font></b></span></div><div style="text-align: left">(running as threads inside netdata)</div>" style="text;html=1;resizable=0;points=[];autosize=1;align=center;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">

174 + <mxGeometry x="883" y="967" width="230" height="40" as="geometry" />

175 + </mxCell>

176 + <UserObject label="<div><b><font style="font-size: 20px">statsd</font></b></div><div><span style="font-size: 14px">(udp/tcp)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/statsd.plugin" id="39">

177 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

178 + <mxGeometry x="1111" y="897" width="110" height="110" as="geometry" />

179 + </mxCell>

180 + </UserObject>

181 + <UserObject label="<b><font style="font-size: 14px">charts.d</font></b><div><span style="font-size: 14px">(bash plugins)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin" id="40">

182 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

183 + <mxGeometry x="85" y="1115" width="110" height="60" as="geometry" />

184 + </mxCell>

185 + </UserObject>

186 + <UserObject label="<div><b><font style="font-size: 14px">go.d</font></b></div><div><span style="font-size: 14px">(go plugins)</span></div>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin" linkTarget="_blank" id="41">

187 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

188 + <mxGeometry x="244" y="1116" width="110" height="60" as="geometry" />

189 + </mxCell>

190 + </UserObject>

191 + <UserObject label="<div><b><font style="font-size: 14px">python.d</font></b></div><div><span style="font-size: 14px">(python plugins)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin" id="42">

192 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

193 + <mxGeometry x="404" y="1119" width="110" height="60" as="geometry" />

194 + </mxCell>

195 + </UserObject>

196 + <UserObject label="<b>remote netdata servers</b><div>database replication, streaming metrics in realtime<br>over TCP</div>" link="https://github.com/netdata/netdata/tree/master/streaming" id="43">

197 + <mxCell style="whiteSpace=wrap;html=1;fontSize=16;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

198 + <mxGeometry x="706" y="1200" width="420" height="90" as="geometry" />

199 + </mxCell>

200 + </UserObject>

201 + <mxCell id="44" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15.79;dx=26.57;arrowHead=55;fontSize=16;direction=north;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

202 + <mxGeometry x="600" y="1007" width="130" height="223" as="geometry" />

203 + </mxCell>

204 + <mxCell id="45" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15.21;dx=32.57;arrowHead=55;fontSize=16;direction=north;flipH=1;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

205 + <mxGeometry x="1150" y="997" width="75" height="93" as="geometry" />

206 + </mxCell>

207 + <UserObject label="<div><b><font style="font-size: 16px">cgroups</font></b></div>" link="https://github.com/netdata/netdata/tree/master/collectors/cgroups.plugin#cgroupsplugin" id="46">

208 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;" parent="1" vertex="1">

209 + <mxGeometry x="774" y="957" width="87" height="53" as="geometry" />

210 + </mxCell>

211 + </UserObject>

212 + <mxCell id="47" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;gradientColor=#ffd966;" parent="1" vertex="1">

213 + <mxGeometry x="739" y="863" width="70" height="30" as="geometry" />

214 + </mxCell>

215 + <mxCell id="48" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;gradientColor=#ffd966;" parent="1" vertex="1">

216 + <mxGeometry x="891" y="863" width="70" height="30" as="geometry" />

217 + </mxCell>

218 + <mxCell id="49" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;gradientColor=#ffd966;" parent="1" vertex="1">

219 + <mxGeometry x="1011" y="863" width="70" height="30" as="geometry" />

220 + </mxCell>

221 + <mxCell id="54" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

222 + <mxGeometry x="504" y="1007" width="70" height="30" as="geometry" />

223 + </mxCell>

224 + <mxCell id="55" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=8.29;fillColor=#d5e8d4;strokeColor=#82b366;gradientColor=#97d077;" parent="1" vertex="1">

225 + <mxGeometry x="264" y="1007" width="70" height="120" as="geometry" />

226 + </mxCell>

227 + <UserObject label="<div><b><font style="font-size: 14px">apps.plugin</font></b></div><div><span style="font-size: 14px">process tree</span></div><div><span style="font-size: 14px">monitoring</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/apps.plugin" id="56">

228 + <mxCell style="whiteSpace=wrap;html=1;fontSize=12;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

229 + <mxGeometry x="324" y="1034" width="110" height="60" as="geometry" />

230 + </mxCell>

231 + </UserObject>

232 + <mxCell id="57" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

233 + <mxGeometry x="344" y="1007" width="70" height="30" as="geometry" />

234 + </mxCell>

235 + <mxCell id="58" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

236 + <mxGeometry x="424" y="1007" width="70" height="120" as="geometry" />

237 + </mxCell>

238 + <UserObject label="<span style="font-size: 14px"><b>QoS</b></span><div><span style="font-size: 14px">(tc classes)</span></div>" link="https://github.com/netdata/netdata/tree/master/collectors/tc.plugin#tcplugin" id="59">

239 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;" parent="1" vertex="1">

240 + <mxGeometry x="684" y="957" width="80" height="53" as="geometry" />

241 + </mxCell>

242 + </UserObject>

243 + <mxCell id="60" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=5.29;fillColor=#d5e8d4;strokeColor=#82b366;gradientColor=#97d077;" parent="1" vertex="1">

244 + <mxGeometry x="183" y="1007" width="70" height="30" as="geometry" />

245 + </mxCell>

246 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql" linkTarget="_blank" id="61">

247 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528613/80d9b420-43b8-11e7-8f7f-8e4ccc9ad41f.png;" parent="1" vertex="1">

248 + <mxGeometry x="825" y="1410" width="127" height="86" as="geometry" />

249 + </mxCell>

250 + </UserObject>

251 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/squid" id="62">

252 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528614/80e5538e-43b8-11e7-8640-f43ac3d70f5f.png;" parent="1" vertex="1">

253 + <mxGeometry x="1144" y="1668" width="101" height="75" as="geometry" />

254 + </mxCell>

255 + </UserObject>

256 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/redis" linkTarget="_blank" id="63">

257 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528616/80f902f8-43b8-11e7-82c2-6d34f4dfcae6.png;" parent="1" vertex="1">

258 + <mxGeometry x="685" y="1318" width="145" height="46" as="geometry" />

259 + </mxCell>

260 + </UserObject>

261 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/postgres" linkTarget="_blank" id="64">

262 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528615/80f6b638-43b8-11e7-86a6-d8f0cb560fc0.png;" parent="1" vertex="1">

263 + <mxGeometry x="449" y="1318" width="184" height="62" as="geometry" />

264 + </mxCell>

265 + </UserObject>

266 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/freeradius" linkTarget="_blank" id="66">

267 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528617/8109f568-43b8-11e7-9f48-14e3f39dc35f.png;" parent="1" vertex="1">

268 + <mxGeometry x="812.5" y="1640" width="141" height="36" as="geometry" />

269 + </mxCell>

270 + </UserObject>

271 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/haproxy" id="67">

272 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528620/81254a98-43b8-11e7-8464-1474aa385f6d.png;" parent="1" vertex="1">

273 + <mxGeometry x="1062.5" y="1510" width="173" height="42" as="geometry" />

274 + </mxCell>

275 + </UserObject>

276 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/ipfs" id="68">

277 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528621/81281520-43b8-11e7-8c7b-91fccb8c6916.png;" parent="1" vertex="1">

278 + <mxGeometry x="227" y="1653.5" width="92" height="40" as="geometry" />

279 + </mxCell>

280 + </UserObject>

281 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/openvpn" linkTarget="_blank" id="69">

282 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528619/81251f1e-43b8-11e7-8f9c-958219e14be9.png;" parent="1" vertex="1">

283 + <mxGeometry x="980" y="1667.5" width="161" height="29" as="geometry" />

284 + </mxCell>

285 + </UserObject>

286 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/postfix" id="70">

287 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26529111/d26ce2f8-43c2-11e7-9bda-0d659de92f41.png;" parent="1" vertex="1">

288 + <mxGeometry x="657" y="1691" width="70" height="49" as="geometry" />

289 + </mxCell>

290 + </UserObject>

291 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx" linkTarget="_blank" id="72">

292 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528623/813c32b2-43b8-11e7-95c4-153aa5efdd5e.png;" parent="1" vertex="1">

293 + <mxGeometry x="238" y="1500" width="112" height="24" as="geometry" />

294 + </mxCell>

295 + </UserObject>

296 + <UserObject label="<b><font style="font-size: 16px">Exporting</font></b><div>Metrics Archiving</div>" link="https://learn.netdata.cloud/docs/agent/exporting" linkTarget="_blank" id="73">

297 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

298 + <mxGeometry x="870" y="607" width="149.75" height="70" as="geometry" />

299 + </mxCell>

300 + </UserObject>

301 + <UserObject label="<div><b><font style="font-size: 20px">Alarms</font></b></div>Health Monitoring" link="https://learn.netdata.cloud/docs/agent/health" linkTarget="_blank" id="74">

302 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

303 + <mxGeometry x="650" y="607" width="211" height="70" as="geometry" />

304 + </mxCell>

305 + </UserObject>

306 + <UserObject label="<b><font style="font-size: 16px">HTTP API</font></b>" link="https://github.com/netdata/netdata/tree/master/web/api" id="76">

307 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

308 + <mxGeometry x="74" y="557" width="800" height="40" as="geometry" />

309 + </mxCell>

310 + </UserObject>

311 + <UserObject label="<b><font style="font-size: 16px">&nbsp; &nbsp; &nbsp; Notifications</font></b>" link="https://github.com/netdata/netdata/tree/master/health/notifications" id="77">

312 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

313 + <mxGeometry x="675" y="470" width="163" height="77" as="geometry" />

314 + </mxCell>

315 + </UserObject>

316 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/exporting/graphite" linkTarget="_blank" id="79">

317 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529200/52a30280-43c4-11e7-85c6-b88321a49d61.png;" parent="1" vertex="1">

318 + <mxGeometry x="900" y="307" width="179" height="47" as="geometry" />

319 + </mxCell>

320 + </UserObject>

321 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/exporting/opentsdb" linkTarget="_blank" id="80">

322 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528624/814fd1aa-43b8-11e7-9125-5e5c3c677aef.png;" parent="1" vertex="1">

323 + <mxGeometry x="1000" y="423" width="198" height="41" as="geometry" />

324 + </mxCell>

325 + </UserObject>

326 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/exporting" linkTarget="_blank" id="81">

327 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528632/81c29fdc-43b8-11e7-8bfe-fc832d11b72d.png;" parent="1" vertex="1">

328 + <mxGeometry x="1126" y="360" width="109" height="50" as="geometry" />

329 + </mxCell>

330 + </UserObject>

331 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/exporting" linkTarget="_blank" id="85">

332 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528636/81e18712-43b8-11e7-94b9-37ea1cf6c3a6.png;" parent="1" vertex="1">

333 + <mxGeometry x="1106" y="300" width="114" height="40" as="geometry" />

334 + </mxCell>

335 + </UserObject>

336 + <UserObject label="netdata<div><b><font style="font-size: 16px">registry</font></b></div><div><font style="font-size: 14px">my-netdata menu</font></div>" link="https://github.com/netdata/netdata/tree/master/registry#netdata-registry" id="89">

337 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

338 + <mxGeometry x="74" y="607" width="170" height="176" as="geometry" />

339 + </mxCell>

340 + </UserObject>

341 + <mxCell id="90" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.twoWayArrow;dy=0.52;dx=21.1;strokeColor=#FFFFFF;fillColor=#59DE9C;fontSize=14;direction=south;" parent="1" vertex="1">

342 + <mxGeometry x="133" y="577" width="60" height="50" as="geometry" />

343 + </mxCell>

344 + <mxCell id="93" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=8.29;fillColor=#d5e8d4;strokeColor=#82b366;gradientColor=#97d077;" parent="1" vertex="1">

345 + <mxGeometry x="103" y="1006" width="70" height="120" as="geometry" />

346 + </mxCell>

347 + <mxCell id="94" value="" style="shape=curlyBracket;whiteSpace=wrap;html=1;rounded=1;strokeColor=#59DE9C;fillColor=#ffffff;gradientColor=#FFF2F9;fontSize=14;align=center;direction=south;" parent="1" vertex="1">

348 + <mxGeometry x="85" y="1293" width="1159" height="20" as="geometry" />

349 + </mxCell>

350 + <UserObject label="<b>SNMP</b><div>enterprise</div><div>network</div>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/snmp" linkTarget="_blank" id="95">

351 + <mxCell style="ellipse;shape=cloud;whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

352 + <mxGeometry x="70" y="1230" width="210" height="199" as="geometry" />

353 + </mxCell>

354 + </UserObject>

355 + <mxCell id="96" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=9.5;dx=29;arrowHead=57;fontSize=16;direction=north;flipH=1;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

356 + <mxGeometry x="210" y="1167" width="94" height="163" as="geometry" />

357 + </mxCell>

358 + <mxCell id="97" value="headless" style="text;html=1;resizable=0;points=[];autosize=1;align=center;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">

359 + <mxGeometry x="1106" y="802.5" width="70" height="20" as="geometry" />

360 + </mxCell>

361 + <mxCell id="98" value="store &amp;<div>forward</div>" style="text;html=1;resizable=0;points=[];autosize=1;align=center;verticalAlign=top;spacingTop=-4;fontSize=14;" parent="1" vertex="1">

362 + <mxGeometry x="953" y="721" width="60" height="30" as="geometry" />

363 + </mxCell>

364 + <UserObject label="<span>from another</span><div>netdata</div>" link="https://github.com/netdata/netdata/tree/master/streaming#options-for-the-receiving-node" id="99">

365 + <mxCell style="ellipse;shape=cloud;whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

366 + <mxGeometry x="1083" y="1184" width="150" height="120" as="geometry" />

367 + </mxCell>

368 + </UserObject>

369 + <mxCell id="100" value="" style="curved=1;endArrow=block;html=1;fontSize=14;entryX=0.847;entryY=0.256;entryPerimeter=0;startArrow=oval;startFill=1;endFill=1;dashed=1;strokeWidth=3;fillColor=#f5f5f5;strokeColor=#59DE9C;dashPattern=1 1;endSize=8;exitX=0.8;exitY=0.8;exitPerimeter=0;" parent="1" source="15" target="99" edge="1">

370 + <mxGeometry width="50" height="50" relative="1" as="geometry">

371 + <mxPoint x="1239" y="641" as="sourcePoint" />

372 + <mxPoint x="1364" y="727" as="targetPoint" />

373 + <Array as="points">

374 + <mxPoint x="1264" y="660" />

375 + <mxPoint x="1254" y="900" />

376 + <mxPoint x="1254" y="1110" />

377 + </Array>

378 + </mxGeometry>

379 + </mxCell>

380 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/slack" id="101">

381 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529341/ebcbc5d0-43c6-11e7-9056-df89e0c10e6a.png;" parent="1" vertex="1">

382 + <mxGeometry x="530" y="302" width="162" height="48" as="geometry" />

383 + </mxCell>

384 + </UserObject>

385 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/pushbullet" id="102">

386 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528627/81813ef2-43b8-11e7-9371-9dfcfb1f27f8.png;" parent="1" vertex="1">

387 + <mxGeometry x="553" y="363" width="188" height="32" as="geometry" />

388 + </mxCell>

389 + </UserObject>

390 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/discord" id="103">

391 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528628/8195a284-43b8-11e7-8582-e94e53feb1c7.png;" parent="1" vertex="1">

392 + <mxGeometry x="440" y="227" width="146" height="40" as="geometry" />

393 + </mxCell>

394 + </UserObject>

395 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/pagerduty" id="104">

396 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528630/81a3e33a-43b8-11e7-89a0-53c9d89ef2d6.png;" parent="1" vertex="1">

397 + <mxGeometry x="500" y="188" width="140" height="26" as="geometry" />

398 + </mxCell>

399 + </UserObject>

400 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/telegram" id="105">

401 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26529349/256417f2-43c7-11e7-8036-9aa59efe0605.png;" parent="1" vertex="1">

402 + <mxGeometry x="452" y="363" width="77" height="83" as="geometry" />

403 + </mxCell>

404 + </UserObject>

405 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/twilio" id="106">

406 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528631/81c0f9b6-43b8-11e7-9088-77d895f50346.png;" parent="1" vertex="1">

407 + <mxGeometry x="600" y="250" width="134" height="40" as="geometry" />

408 + </mxCell>

409 + </UserObject>

410 + <mxCell id="107" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15;dx=38;arrowHead=55;strokeColor=none;fillColor=#59DE9C;fontSize=14;flipH=1;direction=east;" parent="1" vertex="1">

411 + <mxGeometry x="710" y="300" width="100" height="190" as="geometry" />

412 + </mxCell>

413 + <mxCell id="109" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528634/81caae16-43b8-11e7-9c68-45b69b1e92ab.png;strokeColor=#6A9153;fillColor=#CCFFFF;gradientColor=#CCFFFF;fontSize=20;align=center;" parent="1" vertex="1">

414 + <mxGeometry x="285" y="709" width="48" height="48" as="geometry" />

415 + </mxCell>

416 + <mxCell id="110" value="" style="shadow=0;dashed=0;html=1;strokeColor=none;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.mscae.cloud.api_management;fillColor=#0079D6;fontSize=20;align=center;" parent="1" vertex="1">

417 + <mxGeometry x="91" y="562" width="35" height="30" as="geometry" />

418 + </mxCell>

419 + <UserObject label="<div style="text-align: right"><b><font style="font-size: 24px">netdata</font></b></div><div style="text-align: right">simple. effective. awesome!</div><div style="text-align: right"><b>https://netdata.cloud</b></div><div style="text-align: right"><span style="font-size: 14px"><br>(C) Copyright 2023<br></span><span style="font-size: 14px">Netdata, Inc.</span></div>" link="https://netdata.cloud" id="111">

420 + <mxCell style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=20;" parent="1" vertex="1">

421 + <mxGeometry x="994" y="1763.666748046875" width="270" height="160" as="geometry" />

422 + </mxCell>

423 + </UserObject>

424 + <mxCell id="112" value="<font style="font-size: 26px">high level feature set and architecture of <b>netdata</b></font><div><span>the open-source, real-time, performance and health monitoring</span></div>" style="text;html=1;resizable=0;points=[];autosize=1;align=center;verticalAlign=top;spacingTop=-4;fontSize=20;" parent="1" vertex="1">

425 + <mxGeometry x="374" y="20.42" width="580" height="50" as="geometry" />

426 + </mxCell>

427 + <mxCell id="113" value="" style="endArrow=none;html=1;dashed=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=20;" parent="1" edge="1">

428 + <mxGeometry width="50" height="50" relative="1" as="geometry">

429 + <mxPoint x="73" y="1754" as="sourcePoint" />

430 + <mxPoint x="1254" y="1754" as="targetPoint" />

431 + </mxGeometry>

432 + </mxCell>

433 + <mxCell id="114" value="" style="shadow=0;dashed=0;html=1;strokeColor=none;fillColor=#0079D6;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.azure.health_monitoring;fontSize=20;align=center;" parent="1" vertex="1">

434 + <mxGeometry x="659" y="630" width="35" height="30" as="geometry" />

435 + </mxCell>

436 + <mxCell id="115" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528633/81c95b24-43b8-11e7-808d-651a09e9ecca.png;strokeColor=#6A9153;fillColor=#CCFFFF;gradientColor=#CCFFFF;fontSize=20;align=center;" parent="1" vertex="1">

437 + <mxGeometry x="685" y="490" width="31" height="29" as="geometry" />

438 + </mxCell>

439 + <mxCell id="116" value="" style="shadow=0;dashed=0;html=1;strokeColor=none;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.office.users.users;fillColor=#2072B8;fontSize=20;align=center;" parent="1" vertex="1">

440 + <mxGeometry x="85" y="735" width="46" height="41" as="geometry" />

441 + </mxCell>

442 + <mxCell id="117" value="" style="shadow=0;dashed=0;html=1;strokeColor=none;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;shape=mxgraph.office.servers.server_farm;fillColor=#DA4026;fontSize=20;align=center;" parent="1" vertex="1">

443 + <mxGeometry x="194" y="737" width="39" height="39" as="geometry" />

444 + </mxCell>

445 + <mxCell id="118" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528635/81d4c720-43b8-11e7-8578-00c9ed60c219.png;strokeColor=#6A9153;fillColor=#CCFFFF;gradientColor=#CCFFFF;fontSize=20;align=center;" parent="1" vertex="1">

446 + <mxGeometry x="1054" y="704" width="35" height="35" as="geometry" />

447 + </mxCell>

448 + <mxCell id="119" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528645/8275abfe-43b8-11e7-9d21-306ab844f7bb.png;strokeColor=#6A9153;fillColor=#CCFFFF;gradientColor=#CCFFFF;fontSize=20;align=center;" parent="1" vertex="1">

449 + <mxGeometry x="127" y="933" width="61" height="39" as="geometry" />

450 + </mxCell>

451 + <mxCell id="121" value="<div>netdata is a <b>monitoring agent</b>: you install it on all your systems:</div><div>&nbsp;- supports <b>auto-detection</b>&nbsp;and <b>zero configuration</b>&nbsp;for most applications and systems</div>&nbsp;- is <b>real-time</b>: every metric is on your dashboard in less than 1-second (collection to visualization)<div>&nbsp;- is <b>fast</b>: for a few thousand metrics per second, it needs &lt; 1% CPU of a single core</div><div>&nbsp;- and&nbsp;<b>efficient</b>: it needs a few MB of RAM and no disk I/O at all while it runs</div><div>&nbsp;- also, it is&nbsp;<b>embeddable</b>, <b>extensible</b>, and&nbsp;<b>open-source</b>&nbsp;(GPL v3+)</div><div><br></div><div>...and netdata runs everywhere:</div>" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=18;" parent="1" vertex="1">

452 + <mxGeometry x="73" y="1774" width="800" height="170" as="geometry" />

453 + </mxCell>

454 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/mongodb" id="123">

455 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528638/8218d8de-43b8-11e7-9720-3b6a5eed1146.png;" parent="1" vertex="1">

456 + <mxGeometry x="556" y="1515" width="182" height="51" as="geometry" />

457 + </mxCell>

458 + </UserObject>

459 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/nsd" id="124">

460 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529281/e5054aba-43c5-11e7-8c58-7d61ae6cacc7.png;" parent="1" vertex="1">

461 + <mxGeometry x="1144" y="1413" width="97" height="30" as="geometry" />

462 + </mxCell>

463 + </UserObject>

464 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/isc_dhcpd" id="125">

465 + <mxCell style="group" parent="1" vertex="1" connectable="0">

466 + <mxGeometry x="977.5" y="1440" width="147.5" height="44" as="geometry" />

467 + </mxCell>

468 + </UserObject>

469 + <UserObject label="" link="https://github.com/firehol/netdata/tree/master/python.d#isc_dhcpd" id="126">

470 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528644/82759286-43b8-11e7-913b-4e6e0b4d5e5b.png;" parent="125" vertex="1">

471 + <mxGeometry y="13.600000000000001" width="123.2" height="30.400000000000002" as="geometry" />

472 + </mxCell>

473 + </UserObject>

474 + <mxCell id="127" value="<font style="font-size: 14px">DHCP</font>" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=26;fontStyle=1" parent="125" vertex="1">

475 + <mxGeometry x="67.01298701298701" y="-5" width="60" height="40" as="geometry" />

476 + </mxCell>

477 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/sensors" id="128">

478 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528639/822c2c40-43b8-11e7-9755-278480ba7fe7.png;" parent="1" vertex="1">

479 + <mxGeometry x="200" y="1700" width="134" height="40" as="geometry" />

480 + </mxCell>

481 + </UserObject>

482 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin/apcupsd" id="132">

483 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528640/823c442c-43b8-11e7-8081-57b558e9a2b0.png;" parent="1" vertex="1">

484 + <mxGeometry x="466.5" y="1698.5" width="179" height="43" as="geometry" />

485 + </mxCell>

486 + </UserObject>

487 + <mxCell id="133" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528641/82468914-43b8-11e7-8018-af01bd67cba2.png;" parent="1" vertex="1">

488 + <mxGeometry x="357" y="1960" width="92" height="73" as="geometry" />

489 + </mxCell>

490 + <mxCell id="134" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528642/82562b62-43b8-11e7-85f5-31c7f70e057b.png;" parent="1" vertex="1">

491 + <mxGeometry x="464" y="1965" width="76" height="69" as="geometry" />

492 + </mxCell>

493 + <mxCell id="135" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528647/82db5e7c-43b8-11e7-837e-b2de7adbb878.png;" parent="1" vertex="1">

494 + <mxGeometry x="556" y="1959" width="89" height="76" as="geometry" />

495 + </mxCell>

496 + <mxCell id="137" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529330/b4c0293c-43c6-11e7-9751-b66fad47604a.png;" parent="1" vertex="1">

497 + <mxGeometry x="188" y="2052" width="93" height="78" as="geometry" />

498 + </mxCell>

499 + <mxCell id="138" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528649/82f60f6a-43b8-11e7-8d7e-aab838249843.png;" parent="1" vertex="1">

500 + <mxGeometry x="871" y="1973" width="95" height="60" as="geometry" />

501 + </mxCell>

502 + <mxCell id="139" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528650/8311b94a-43b8-11e7-8475-6096e0ab7025.png;" parent="1" vertex="1">

503 + <mxGeometry x="994" y="1973" width="119" height="55" as="geometry" />

504 + </mxCell>

505 + <mxCell id="140" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528651/832e5f1e-43b8-11e7-8ba2-19ce72f932ba.png;" parent="1" vertex="1">

506 + <mxGeometry x="80" y="1963" width="94" height="70" as="geometry" />

507 + </mxCell>

508 + <mxCell id="141" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528648/82de5cbc-43b8-11e7-841f-a226ba8e5c59.png;" parent="1" vertex="1">

509 + <mxGeometry x="195" y="1958.5" width="60" height="78" as="geometry" />

510 + </mxCell>

511 + <mxCell id="142" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528654/8395aee4-43b8-11e7-9b0b-87fe2ac5811c.png;" parent="1" vertex="1">

512 + <mxGeometry x="659" y="1958" width="93" height="80" as="geometry" />

513 + </mxCell>

514 + <mxCell id="143" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528655/83a954d0-43b8-11e7-8551-fbce651f9d4f.png;" parent="1" vertex="1">

515 + <mxGeometry x="761.5" y="1955" width="87" height="79" as="geometry" />

516 + </mxCell>

517 + <mxCell id="144" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528656/83aef5a2-43b8-11e7-8cbc-543e0b739f1e.png;" parent="1" vertex="1">

518 + <mxGeometry x="1010" y="2100" width="136" height="34" as="geometry" />

519 + </mxCell>

520 + <UserObject label="" link="https://github.com/firehol/netdata/wiki/netdata-for-IoT" id="145">

521 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528652/835acc70-43b8-11e7-9b04-0e355fe46b45.png;" parent="1" vertex="1">

522 + <mxGeometry x="1003.5" y="2053" width="135" height="31" as="geometry" />

523 + </mxCell>

524 + </UserObject>

525 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql" linkTarget="_blank" id="146">

526 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528659/83cfad88-43b8-11e7-8a33-03d4f0b31cac.png;" parent="1" vertex="1">

527 + <mxGeometry x="726" y="1415" width="79" height="73" as="geometry" />

528 + </mxCell>

529 + </UserObject>

530 + <mxCell id="147" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528658/83cc4c60-43b8-11e7-9260-ed6d5f03b1f4.png;" parent="1" vertex="1">

531 + <mxGeometry x="602.5" y="2054" width="63" height="83" as="geometry" />

532 + </mxCell>

533 + <mxCell id="148" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528657/83b9bece-43b8-11e7-95cd-17fa93d37a46.png;" parent="1" vertex="1">

534 + <mxGeometry x="952.5" y="1053.5" width="72" height="66" as="geometry" />

535 + </mxCell>

536 + <mxCell id="149" value="" style="endArrow=block;dashed=1;html=1;dashPattern=1 1;fontFamily=Helvetica;fontSize=13;fontColor=#000000;align=center;strokeColor=#59DE9C;strokeWidth=3;startArrow=none;startFill=0;endFill=1;exitX=0.5;exitY=0;" parent="1" source="148" target="35" edge="1">

537 + <mxGeometry width="50" height="50" relative="1" as="geometry">

538 + <mxPoint x="884" y="1057" as="sourcePoint" />

539 + <mxPoint x="934" y="1007" as="targetPoint" />

540 + <Array as="points">

541 + <mxPoint x="884" y="1000" />

542 + </Array>

543 + </mxGeometry>

544 + </mxCell>

545 + <mxCell id="150" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.5;entryY=0;exitX=1;exitY=0.75;startArrow=block;startFill=1;" parent="1" source="34" target="148" edge="1">

546 + <mxGeometry width="50" height="50" relative="1" as="geometry">

547 + <mxPoint x="794" y="1147" as="sourcePoint" />

548 + <mxPoint x="844" y="1097" as="targetPoint" />

549 + <Array as="points">

550 + <mxPoint x="874" y="1000" />

551 + </Array>

552 + </mxGeometry>

553 + </mxCell>

554 + <mxCell id="152" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528664/84510b62-43b8-11e7-990b-6bc09e5ea649.png;" parent="1" vertex="1">

555 + <mxGeometry x="394.5" y="2061" width="99" height="71" as="geometry" />

556 + </mxCell>

557 + <mxCell id="153" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26529313/70be8382-43c6-11e7-943b-2c0ec46cc782.png;" parent="1" vertex="1">

558 + <mxGeometry x="81" y="2080" width="95" height="52" as="geometry" />

559 + </mxCell>

560 + <mxCell id="154" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528662/84277932-43b8-11e7-9322-db0e415d9d04.png;" parent="1" vertex="1">

561 + <mxGeometry x="684.5" y="2053" width="63" height="83" as="geometry" />

562 + </mxCell>

563 + <mxCell id="155" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528667/848aff48-43b8-11e7-85ec-1b904e34246e.png;" parent="1" vertex="1">

564 + <mxGeometry x="499.5" y="2050" width="89" height="91" as="geometry" />

565 + </mxCell>

566 + <mxCell id="156" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528660/83f71b8e-43b8-11e7-9240-f443470a9aa9.png;" parent="1" vertex="1">

567 + <mxGeometry x="299" y="2055" width="86" height="77" as="geometry" />

568 + </mxCell>

569 + <mxCell id="157" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528661/840ec356-43b8-11e7-8011-f8260539cf2d.png;" parent="1" vertex="1">

570 + <mxGeometry x="786" y="1896" width="160" height="35" as="geometry" />

571 + </mxCell>

572 + <mxCell id="158" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528663/842f7c18-43b8-11e7-9ff1-a76f1cefd321.png;" parent="1" vertex="1">

573 + <mxGeometry x="970" y="1896" width="132" height="37" as="geometry" />

574 + </mxCell>

575 + <mxCell id="159" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528666/845b707a-43b8-11e7-9260-6594db9f8b12.png;" parent="1" vertex="1">

576 + <mxGeometry x="673.5" y="1871" width="101" height="76" as="geometry" />

577 + </mxCell>

578 + <mxCell id="160" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528665/845b0fcc-43b8-11e7-8955-89043524e863.png;" parent="1" vertex="1">

579 + <mxGeometry x="759" y="2075" width="88" height="60" as="geometry" />

580 + </mxCell>

581 + <mxCell id="161" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26529042/23528fa8-43c1-11e7-94bd-d01e7ded928d.png;" parent="1" vertex="1">

582 + <mxGeometry x="1134" y="1991" width="116" height="40" as="geometry" />

583 + </mxCell>

584 + <UserObject label="<font style="font-size: 20px">system<u>d</u></font>" link="https://github.com/netdata/netdata/tree/master/collectors/cgroups.plugin#monitoring-systemd-services" id="162">

585 + <mxCell style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=13;fontStyle=1" parent="1" vertex="1">

586 + <mxGeometry x="797" y="1145" width="90" height="20" as="geometry" />

587 + </mxCell>

588 + </UserObject>

589 + <mxCell id="163" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#C7D1E0;strokeWidth=3;fontSize=13;entryX=0.421;entryY=0.191;startArrow=block;startFill=1;entryPerimeter=0;" parent="1" source="46" target="162" edge="1">

590 + <mxGeometry width="50" height="50" relative="1" as="geometry">

591 + <mxPoint x="871" y="952" as="sourcePoint" />

592 + <mxPoint x="909" y="1059" as="targetPoint" />

593 + </mxGeometry>

594 + </mxCell>

595 + <mxCell id="164" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529330/b4c0293c-43c6-11e7-9751-b66fad47604a.png;" parent="1" vertex="1">

596 + <mxGeometry x="688" y="1083.5" width="55" height="46" as="geometry" />

597 + </mxCell>

598 + <mxCell id="165" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26528664/84510b62-43b8-11e7-990b-6bc09e5ea649.png;" parent="1" vertex="1">

599 + <mxGeometry x="776" y="1089.5" width="47" height="34" as="geometry" />

600 + </mxCell>

601 + <mxCell id="166" value="" style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://cloud.githubusercontent.com/assets/2662304/26529313/70be8382-43c6-11e7-943b-2c0ec46cc782.png;" parent="1" vertex="1">

602 + <mxGeometry x="662.5" y="1039.5" width="72" height="39" as="geometry" />

603 + </mxCell>

604 + <mxCell id="167" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#C7D1E0;strokeWidth=3;fontSize=13;entryX=0.5;entryY=0;startArrow=block;startFill=1;" parent="1" source="46" target="165" edge="1">

605 + <mxGeometry width="50" height="50" relative="1" as="geometry">

606 + <mxPoint x="849" y="1020" as="sourcePoint" />

607 + <mxPoint x="850" y="1112" as="targetPoint" />

608 + </mxGeometry>

609 + </mxCell>

610 + <mxCell id="168" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.75;entryY=0;startArrow=block;startFill=1;" parent="1" source="46" target="164" edge="1">

611 + <mxGeometry width="50" height="50" relative="1" as="geometry">

612 + <mxPoint x="828" y="1020" as="sourcePoint" />

613 + <mxPoint x="818" y="1076" as="targetPoint" />

614 + </mxGeometry>

615 + </mxCell>

616 + <mxCell id="169" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.75;entryY=0;startArrow=block;startFill=1;" parent="1" source="46" target="166" edge="1">

617 + <mxGeometry width="50" height="50" relative="1" as="geometry">

618 + <mxPoint x="764" y="1037" as="sourcePoint" />

619 + <mxPoint x="777" y="1087" as="targetPoint" />

620 + </mxGeometry>

621 + </mxCell>

622 + <mxCell id="170" value="<font color="#e6d0de">netdata daemon</font>" style="text;html=1;resizable=0;points=[];autosize=1;align=left;verticalAlign=top;spacingTop=-4;fontSize=13;fontColor=#59DE9C;rotation=90;fontStyle=1" parent="1" vertex="1">

623 + <mxGeometry x="1195" y="593" width="118" height="22" as="geometry" />

624 + </mxCell>

625 + <UserObject label="<div><span style="font-size: 14px"><b>web_log</b></span></div><div><span style="font-size: 14px">real-time web performance</span><br></div>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog" linkTarget="_blank" id="171">

626 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

627 + <mxGeometry x="429" y="1230" width="120" height="60" as="geometry" />

628 + </mxCell>

629 + </UserObject>

630 + <mxCell id="174" value="" style="shape=curlyBracket;whiteSpace=wrap;html=1;rounded=1;strokeColor=#6A9153;fillColor=#ffffff;gradientColor=#FFF2F9;fontSize=14;align=center;direction=south;" parent="1" vertex="1">

631 + <mxGeometry x="877" y="265" width="377" height="20" as="geometry" />

632 + </mxCell>

633 + <UserObject label="standard dashboard" link="http://london.my-netdata.io/" linkTarget="_blank" id="176">

634 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528929/cbe844ee-43be-11e7-8e1b-7899d142c1a5.png;fontSize=14;" parent="1" vertex="1">

635 + <mxGeometry x="75" y="315" width="121" height="107" as="geometry" />

636 + </mxCell>

637 + </UserObject>

638 + <UserObject label="<span style="font-size: 16px"><b>dashboard.js</b></span><div><font style="font-size: 14px">real-time netdata charts</font></div><div><font style="font-size: 14px">on any web page</font></div>" id="177">

639 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#666666;fillColor=#f5f5f5;fontSize=14;align=center;" parent="1" vertex="1">

640 + <mxGeometry x="75" y="470" width="249" height="74" as="geometry" />

641 + </mxCell>

642 + </UserObject>

643 + <UserObject label="custom dashboards" link="https://learn.netdata.cloud/docs/agent/web/gui/custom" linkTarget="_blank" id="179">

644 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528933/e9bd18b4-43be-11e7-9e3c-725342bbcdca.png;fontSize=14;" parent="1" vertex="1">

645 + <mxGeometry x="204" y="315" width="121" height="108" as="geometry" />

646 + </mxCell>

647 + </UserObject>

648 + <mxCell id="180" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;" parent="1" vertex="1">

649 + <mxGeometry x="100" y="446" width="70" height="30" as="geometry" />

650 + </mxCell>

651 + <mxCell id="181" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#fff2cc;strokeColor=#d6b656;" parent="1" vertex="1">

652 + <mxGeometry x="229" y="446" width="70" height="30" as="geometry" />

653 + </mxCell>

654 + <mxCell id="182" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

655 + <mxGeometry x="357" y="533" width="70" height="30" as="geometry" />

656 + </mxCell>

657 + <UserObject label="SVG badges from metrics" link="https://github.com/netdata/netdata/tree/master/web/api/badges" id="183">

658 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528965/8993b082-43bf-11e7-8d5b-3eea117bbd55.png;fontSize=14;spacingTop=-3;" parent="1" vertex="1">

659 + <mxGeometry x="469" y="485" width="161" height="25" as="geometry" />

660 + </mxCell>

661 + </UserObject>

662 + <mxCell id="184" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

663 + <mxGeometry x="512" y="534" width="70" height="30" as="geometry" />

664 + </mxCell>

665 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin/ap" id="185">

666 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528669/84b0fd1a-43b8-11e7-9e11-64ebc53766cb.png;" parent="1" vertex="1">

667 + <mxGeometry x="623" y="1584.5" width="57" height="36" as="geometry" />

668 + </mxCell>

669 + </UserObject>

670 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/memcached" id="186">

671 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528670/84b1a6f2-43b8-11e7-9b30-391149075235.png;" parent="1" vertex="1">

672 + <mxGeometry x="744" y="1503" width="55" height="55" as="geometry" />

673 + </mxCell>

674 + </UserObject>

675 + <UserObject label="use metrics
in your scripts" link="https://github.com/netdata/netdata/tree/master/web/api/exporters/shell" id="187">

676 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528672/84d2eda8-43b8-11e7-8385-6ad78be4d7cc.png;fontSize=14;spacing=2;spacingTop=-14;" parent="1" vertex="1">

677 + <mxGeometry x="352" y="438" width="77" height="66" as="geometry" />

678 + </mxCell>

679 + </UserObject>

680 + <mxCell id="188" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528673/84d4fc60-43b8-11e7-9512-5db073e72e9f.png;" parent="1" vertex="1">

681 + <mxGeometry x="283" y="1956" width="58" height="77" as="geometry" />

682 + </mxCell>

683 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/email" id="189">

684 + <mxCell style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528675/84f226d2-43b8-11e7-9de6-6d7c391aaa8d.png;rounded=0;shadow=0;glass=0;dashed=1;dashPattern=1 1;comic=0;strokeColor=#C7D1E0;strokeWidth=3;fillColor=none;gradientColor=#CCFFFF;fontSize=14;fontColor=#E6E6E6;align=center;" parent="1" vertex="1">

685 + <mxGeometry x="766" y="250" width="56" height="56" as="geometry" />

686 + </mxCell>

687 + </UserObject>

688 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/rabbitmq" id="190">

689 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528674/84f187cc-43b8-11e7-9239-43a0825aa92a.png;" parent="1" vertex="1">

690 + <mxGeometry x="280" y="1390" width="189" height="50" as="geometry" />

691 + </mxCell>

692 + </UserObject>

693 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/pushover" id="191">

694 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528605/80703edc-43b8-11e7-839d-267f613e15b0.png;" parent="1" vertex="1">

695 + <mxGeometry x="654" y="205" width="134" height="28" as="geometry" />

696 + </mxCell>

697 + </UserObject>

698 + <mxCell id="192" value="" style="shape=image;html=1;verticalAlign=top;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;imageAspect=0;aspect=fixed;image=https://cloud.githubusercontent.com/assets/2662304/26528645/8275abfe-43b8-11e7-9d21-306ab844f7bb.png;strokeColor=#6A9153;fillColor=#CCFFFF;gradientColor=#CCFFFF;fontSize=20;align=center;" parent="1" vertex="1">

699 + <mxGeometry x="127" y="815" width="61" height="39" as="geometry" />

700 + </mxCell>

701 + <UserObject label="" link="https://github.com/netdata/netdata/issues/11268" linkTarget="_blank" id="194">

702 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://user-images.githubusercontent.com/12159026/28160720-5c8e2718-67c1-11e7-8018-759767e9c766.png;" parent="1" vertex="1">

703 + <mxGeometry x="731.5" y="1674" width="82" height="32" as="geometry" />

704 + </mxCell>

705 + </UserObject>

706 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/node.d.plugin/stiebeleltron" id="195">

707 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://user-images.githubusercontent.com/12159026/28159553-9b155924-67bd-11e7-9bdc-b8675f60c77b.png;" parent="1" vertex="1">

708 + <mxGeometry x="740" y="1711.5" width="119" height="30" as="geometry" />

709 + </mxCell>

710 + </UserObject>

711 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/powerdns" linkTarget="_blank" id="196">

712 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/30879830-48619148-a309-11e7-96fc-81497a348341.png;" parent="1" vertex="1">

713 + <mxGeometry x="859.5" y="1321.5" width="190" height="32" as="geometry" />

714 + </mxCell>

715 + </UserObject>

716 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/chrony" linkTarget="_blank" id="197">

717 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/30880129-3f00fd86-a30a-11e7-8487-30fe4137ec3b.png;" parent="1" vertex="1">

718 + <mxGeometry x="1118" y="1465" width="123" height="36" as="geometry" />

719 + </mxCell>

720 + </UserObject>

721 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/flock" id="198">

722 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/32355748-512dda64-c039-11e7-8117-bc31a0cf50eb.png;" parent="1" vertex="1">

723 + <mxGeometry x="370" y="311" width="142" height="50" as="geometry" />

724 + </mxCell>

725 + </UserObject>

726 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/beanstalk" id="199">

727 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/32415654-a8f9ad3c-c245-11e7-902f-e04bdf0661e6.png;" parent="1" vertex="1">

728 + <mxGeometry x="287" y="1321.5" width="140" height="49" as="geometry" />

729 + </mxCell>

730 + </UserObject>

731 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/alerta" id="200">

732 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/34533144-9ecf2918-f0c1-11e7-928e-c2654b092303.png;" parent="1" vertex="1">

733 + <mxGeometry x="420" y="275" width="106" height="27" as="geometry" />

734 + </mxCell>

735 + </UserObject>

736 + <mxCell id="201" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/34533412-c59e2c28-f0c2-11e7-9ae3-8eb392608029.png;" parent="1" vertex="1">

737 + <mxGeometry x="845" y="1086.5" width="79" height="51" as="geometry" />

738 + </mxCell>

739 + <mxCell id="202" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;exitX=1;exitY=0.75;startArrow=block;startFill=1;entryX=0.662;entryY=0.006;entryPerimeter=0;" parent="1" source="34" target="201" edge="1">

740 + <mxGeometry width="50" height="50" relative="1" as="geometry">

741 + <mxPoint x="871.2857142857142" y="952.1428571428571" as="sourcePoint" />

742 + <mxPoint x="935.8571428571429" y="1069.2857142857142" as="targetPoint" />

743 + <Array as="points">

744 + <mxPoint x="870" y="1020" />

745 + </Array>

746 + </mxGeometry>

747 + </mxCell>

748 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/charts.d.plugin/libreswan" id="203">

749 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/34575234-a3d94b0c-f182-11e7-8002-dad5c88b4da8.png;" parent="1" vertex="1">

750 + <mxGeometry x="868.5" y="1685" width="104" height="57" as="geometry" />

751 + </mxCell>

752 + </UserObject>

753 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/irc" id="204">

754 + <mxCell style="shape=image;imageAspect=0;aspect=fixed;verticalLabelPosition=bottom;verticalAlign=top;image=https://user-images.githubusercontent.com/31221999/36795772-8b096efe-1cac-11e8-8d6d-791ee5c88179.png;" parent="1" vertex="1">

755 + <mxGeometry x="680" y="153" width="69" height="35" as="geometry" />

756 + </mxCell>

757 + </UserObject>

758 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/ceph" id="205">

759 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37906004-70962334-3109-11e8-9d55-02d2bd06dafc.png;" parent="1" vertex="1">

760 + <mxGeometry x="270.5" y="1563" width="77" height="96" as="geometry" />

761 + </mxCell>

762 + </UserObject>

763 + <UserObject label="<font size="1"><b style="font-size: 25px">ntpd</b></font>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/ntpd" id="206">

764 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

765 + <mxGeometry x="985.5" y="1367" width="63" height="34" as="geometry" />

766 + </mxCell>

767 + </UserObject>

768 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/nginx_plus" id="209">

769 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37907025-95e2e5c0-310c-11e8-997f-4d7ec9a79f76.png;" parent="1" vertex="1">

770 + <mxGeometry x="238" y="1450" width="132" height="45" as="geometry" />

771 + </mxCell>

772 + </UserObject>

773 + <UserObject label="<div><span style="font-size: 14px"><b>httpcheck</b></span></div><div><span style="font-size: 14px">monitor any remote web port</span></div>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/httpcheck" linkTarget="_blank" id="210">

774 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

775 + <mxGeometry x="297" y="1230" width="120" height="60" as="geometry" />

776 + </mxCell>

777 + </UserObject>

778 + <UserObject label="<div><span style="font-size: 14px"><b>portcheck</b></span></div><div><span style="font-size: 14px">monitor any remote TCP port</span></div>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/portcheck" linkTarget="_blank" id="211">

779 + <mxCell style="whiteSpace=wrap;html=1;fillColor=#FFFFFF;strokeColor=#59DE9C;" parent="1" vertex="1">

780 + <mxGeometry x="560" y="1230" width="120" height="60" as="geometry" />

781 + </mxCell>

782 + </UserObject>

783 + <mxCell id="215" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37907799-cf84a726-310e-11e8-9964-057e0297752d.png;" parent="1" vertex="1">

784 + <mxGeometry x="707" y="1133" width="83" height="43" as="geometry" />

785 + </mxCell>

786 + <mxCell id="216" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.5;entryY=0;startArrow=block;startFill=1;exitX=0.291;exitY=1.021;exitPerimeter=0;" parent="1" source="46" target="215" edge="1">

787 + <mxGeometry width="50" height="50" relative="1" as="geometry">

788 + <mxPoint x="819.4939412610393" y="1020" as="sourcePoint" />

789 + <mxPoint x="784.2352941176473" y="1136.7058823529414" as="targetPoint" />

790 + </mxGeometry>

791 + </mxCell>

792 + <mxCell id="217" value="<font style="font-size: 20px"><b>bcache</b></font>" style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

793 + <mxGeometry x="953" y="1150.5" width="40" height="20" as="geometry" />

794 + </mxCell>

795 + <mxCell id="220" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;exitX=1;exitY=0.75;startArrow=block;startFill=1;entryX=0.25;entryY=0;" parent="1" source="34" target="217" edge="1">

796 + <mxGeometry width="50" height="50" relative="1" as="geometry">

797 + <mxPoint x="871" y="952" as="sourcePoint" />

798 + <mxPoint x="907" y="1130" as="targetPoint" />

799 + <Array as="points">

800 + <mxPoint x="880" y="1030" />

801 + </Array>

802 + </mxGeometry>

803 + </mxCell>

804 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/traefik" id="221">

805 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37908248-4f38d018-3110-11e8-8ef6-53aab84c26ca.png;" parent="1" vertex="1">

806 + <mxGeometry x="1160" y="1560" width="74" height="100" as="geometry" />

807 + </mxCell>

808 + </UserObject>

809 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/icecast" id="223">

810 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37908744-b9166bde-3111-11e8-9706-da2c7c1c55bb.png;" parent="1" vertex="1">

811 + <mxGeometry x="358.5" y="1540" width="53" height="53" as="geometry" />

812 + </mxCell>

813 + </UserObject>

814 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/springboot2" linkTarget="_blank" id="224">

815 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/37909449-9ccaba6e-3113-11e8-98b7-7ad8204bbcf5.png;" parent="1" vertex="1">

816 + <mxGeometry x="460" y="1581" width="151" height="49" as="geometry" />

817 + </mxCell>

818 + </UserObject>

819 + <mxCell id="226" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609442-6a8da100-da47-11e8-9918-468e59e8e70f.png;" parent="1" vertex="1">

820 + <mxGeometry x="858" y="2072" width="142" height="63" as="geometry" />

821 + </mxCell>

822 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/elasticsearch" linkTarget="_blank" id="227">

823 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609507-8d6c8500-da48-11e8-9556-0cebef6862f2.png;" parent="1" vertex="1">

824 + <mxGeometry x="694" y="1571" width="226" height="55" as="geometry" />

825 + </mxCell>

826 + </UserObject>

827 + <mxCell id="228" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609535-4206a680-da49-11e8-80bb-793dc9a783dd.png;" parent="1" vertex="1">

828 + <mxGeometry x="1013.5" y="184" width="98" height="89" as="geometry" />

829 + </mxCell>

830 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/exporting" linkTarget="_blank" id="230">

831 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609564-f7d1f500-da49-11e8-936a-6d0ff9329ded.png;" parent="1" vertex="1">

832 + <mxGeometry x="940" y="361" width="162" height="40" as="geometry" />

833 + </mxCell>

834 + </UserObject>

835 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/backends/prometheus" id="231">

836 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609572-2354df80-da4a-11e8-9121-49d3f1a74fce.png;" parent="1" vertex="1">

837 + <mxGeometry x="959" y="476" width="274" height="52" as="geometry" />

838 + </mxCell>

839 + </UserObject>

840 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/awssns" id="232">

841 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609620-26040480-da4b-11e8-8ac3-c1b6a209619f.png;" parent="1" vertex="1">

842 + <mxGeometry x="510" y="120" width="140" height="56" as="geometry" />

843 + </mxCell>

844 + </UserObject>

845 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/health/notifications/rocketchat" id="233">

846 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609674-ec7fc900-da4b-11e8-84cd-ff47fe586f84.png;" parent="1" vertex="1">

847 + <mxGeometry x="422" y="143" width="77" height="77" as="geometry" />

848 + </mxCell>

849 + </UserObject>

850 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/adaptec_raid" id="234">

851 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609913-17b8e700-da51-11e8-8828-dadf97b32a99.png;" parent="1" vertex="1">

852 + <mxGeometry x="84" y="1585.5" width="124" height="39" as="geometry" />

853 + </mxCell>

854 + </UserObject>

855 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/boinc" id="235">

856 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47609954-c0674680-da51-11e8-9e7f-d2f0425c0c94.png;" parent="1" vertex="1">

857 + <mxGeometry x="78.5" y="1691" width="109" height="56" as="geometry" />

858 + </mxCell>

859 + </UserObject>

860 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/docker_engine" linkTarget="_blank" id="236">

861 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26529330/b4c0293c-43c6-11e7-9751-b66fad47604a.png;" parent="1" vertex="1">

862 + <mxGeometry x="980" y="1564" width="60" height="51" as="geometry" />

863 + </mxCell>

864 + </UserObject>

865 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/hddtemp" id="237">

866 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610043-2228b000-da54-11e8-9ce3-ca7e11207cf3.png;" parent="1" vertex="1">

867 + <mxGeometry x="222" y="1585" width="49" height="46" as="geometry" />

868 + </mxCell>

869 + </UserObject>

870 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/litespeed" id="239">

871 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610070-df1b0c80-da54-11e8-823f-d50b3ec97d42.png;" parent="1" vertex="1">

872 + <mxGeometry x="424" y="1510" width="126" height="62" as="geometry" />

873 + </mxCell>

874 + </UserObject>

875 + <UserObject label="" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog" linkTarget="_blank" id="122">

876 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528643/826ac662-43b8-11e7-9e85-1c2fb9bda363.png;" parent="1" vertex="1">

877 + <mxGeometry x="484.5" y="1419.5" width="80" height="78" as="geometry" />

878 + </mxCell>

879 + </UserObject>

880 + <UserObject label="<b><font style="font-size: 20px">dnsdist</font></b>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/dnsdist" linkTarget="_blank" id="240">

881 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

882 + <mxGeometry x="1071" y="1382.5" width="84" height="33" as="geometry" />

883 + </mxCell>

884 + </UserObject>

885 + <UserObject label="<b><font style="font-size: 15px">linux power supply</font></b>" link="https://learn.netdata.cloud/docs/agent/collectors/proc.plugin" linkTarget="_blank" id="242">

886 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

887 + <mxGeometry x="972.5" y="1491" width="72" height="69" as="geometry" />

888 + </mxCell>

889 + </UserObject>

890 + <UserObject label="<b><font style="font-size: 18px">mdstat</font></b>" link="https://learn.netdata.cloud/docs/agent/collectors/proc.plugin" linkTarget="_blank" id="244">

891 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

892 + <mxGeometry x="326" y="1644" width="84" height="33" as="geometry" />

893 + </mxCell>

894 + </UserObject>

895 + <UserObject label="<b><font style="font-size: 20px">megacli</font></b>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/megacli" id="245">

896 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

897 + <mxGeometry x="245" y="1535.5" width="84" height="33" as="geometry" />

898 + </mxCell>

899 + </UserObject>

900 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/monit" id="246">

901 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610128-25bd3680-da56-11e8-9776-8b463033141e.png;" parent="1" vertex="1">

902 + <mxGeometry x="920.5" y="1578" width="46" height="49" as="geometry" />

903 + </mxCell>

904 + </UserObject>

905 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/proxysql" id="247">

906 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610153-b3008b00-da56-11e8-8eec-73cfdbf2dc54.png;" parent="1" vertex="1">

907 + <mxGeometry x="552" y="1371" width="168" height="42" as="geometry" />

908 + </mxCell>

909 + </UserObject>

910 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/puppet" id="249">

911 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610182-9022a680-da57-11e8-9905-5a7d1ec1f2ff.png;" parent="1" vertex="1">

912 + <mxGeometry x="585.5" y="1464" width="119" height="47" as="geometry" />

913 + </mxCell>

914 + </UserObject>

915 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/rethinkdbs" id="250">

916 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610207-41c1d780-da58-11e8-9f4d-11533e728dd7.png;" parent="1" vertex="1">

917 + <mxGeometry x="766" y="1360" width="195" height="41" as="geometry" />

918 + </mxCell>

919 + </UserObject>

920 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/tomcat" id="71">

921 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://cloud.githubusercontent.com/assets/2662304/26528629/819c42b0-43b8-11e7-8cdf-c9921ed712b7.png;" parent="1" vertex="1">

922 + <mxGeometry x="376" y="1495" width="93" height="36" as="geometry" />

923 + </mxCell>

924 + </UserObject>

925 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/samba" id="251">

926 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610269-c3663500-da59-11e8-825d-28a63ba34c9d.png;" parent="1" vertex="1">

927 + <mxGeometry x="86" y="1637" width="120" height="21" as="geometry" />

928 + </mxCell>

929 + </UserObject>

930 + <UserObject label="<b><font style="font-size: 20px">smartd</font></b>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/smartd_log" id="252">

931 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

932 + <mxGeometry x="366.5" y="1597" width="84" height="33" as="geometry" />

933 + </mxCell>

934 + </UserObject>

935 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/spigotmc" id="253">

936 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610289-2788f900-da5a-11e8-89d0-0406cee9defa.png;" parent="1" vertex="1">

937 + <mxGeometry x="986" y="1616.5" width="50" height="50" as="geometry" />

938 + </mxCell>

939 + </UserObject>

940 + <UserObject label="<b><font style="font-size: 18px">unbound</font></b>" link="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/unbound" linkTarget="_blank" id="254">

941 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

942 + <mxGeometry x="1051" y="1412.5" width="84" height="33" as="geometry" />

943 + </mxCell>

944 + </UserObject>

945 + <UserObject label="<b><font style="font-size: 20px">logind</font></b>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/logind" id="243">

946 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

947 + <mxGeometry x="961.5" y="1408" width="84" height="33" as="geometry" />

948 + </mxCell>

949 + </UserObject>

950 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/uwsgi" id="257">

951 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47610328-3b812a80-da5b-11e8-9488-2277ce3bca10.png;" parent="1" vertex="1">

952 + <mxGeometry x="385" y="1451.5" width="76" height="27" as="geometry" />

953 + </mxCell>

954 + </UserObject>

955 + <UserObject label="<b><font style="font-size: 18px">w1sensor</font></b>" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/w1sensor" id="258">

956 + <mxCell style="text;html=1;strokeColor=none;fillColor=none;align=center;verticalAlign=middle;whiteSpace=wrap;rounded=0;" parent="1" vertex="1">

957 + <mxGeometry x="91" y="1661.5" width="84" height="33" as="geometry" />

958 + </mxCell>

959 + </UserObject>

960 + <UserObject label="" link="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/go_expvar" id="261">

961 + <mxCell style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=#ffffff;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://user-images.githubusercontent.com/2662304/47671918-5a95ce80-dbb9-11e8-809f-758427c68caa.png;" parent="1" vertex="1">

962 + <mxGeometry x="595" y="1415.5" width="113" height="47" as="geometry" />

963 + </mxCell>

964 + </UserObject>

965 + <UserObject label="" link="http://netdata.cloud/" linkTarget="_blank" id="6wNVMjbWM3VSl3cxvCD3-265">

966 + <mxCell 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">

967 + <mxGeometry x="4" y="9" width="359" height="72.84" as="geometry" />

968 + </mxCell>

969 + </UserObject>

970 + <UserObject label="app.netdata.cloud" link="https://app.netdata.cloud/spaces/netdata-demo/rooms/all-nodes/overview" linkTarget="_blank" id="6wNVMjbWM3VSl3cxvCD3-270">

971 + <mxCell 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">

972 + <mxGeometry x="20.75" y="90" width="355.33" height="200" as="geometry" />

973 + </mxCell>

974 + </UserObject>

975 + <UserObject label="<span style="font-size: 16px"><b>dashboard.js</b></span><div><font style="font-size: 14px">real-time netdata charts</font></div><div><font style="font-size: 14px">on any web page</font></div>" id="6wNVMjbWM3VSl3cxvCD3-271">

976 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

977 + <mxGeometry x="75" y="470" width="249" height="74" as="geometry" />

978 + </mxCell>

979 + </UserObject>

980 + <UserObject label="<b><font style="font-size: 20px">Query Engine</font></b><br>Data reduction &amp; re-sampling<br>" link="https://learn.netdata.cloud/docs/agent/web/api/queries" linkTarget="_blank" id="6wNVMjbWM3VSl3cxvCD3-272">

981 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" parent="1" vertex="1">

982 + <mxGeometry x="254" y="607" width="196" height="70" as="geometry" />

983 + </mxCell>

984 + </UserObject>

985 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-273" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

986 + <mxGeometry x="100" y="446" width="70" height="30" as="geometry" />

987 + </mxCell>

988 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-274" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

989 + <mxGeometry x="229" y="446" width="70" height="30" as="geometry" />

990 + </mxCell>

991 + <mxCell id="178" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

992 + <mxGeometry x="159" y="534" width="70" height="30" as="geometry" />

993 + </mxCell>

994 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-291" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15;dx=38;arrowHead=55;strokeColor=none;fillColor=#59DE9C;fontSize=14;flipH=1;direction=east;" parent="1" vertex="1">

995 + <mxGeometry x="710" y="300" width="100" height="190" as="geometry" />

996 + </mxCell>

997 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-293" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

998 + <mxGeometry x="512" y="534" width="70" height="30" as="geometry" />

999 + </mxCell>

1000 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-294" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1001 + <mxGeometry x="357" y="533" width="70" height="30" as="geometry" />

1002 + </mxCell>

1003 + <mxCell id="50" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none" parent="1" vertex="1">

1004 + <mxGeometry x="1131" y="863" width="70" height="30" as="geometry" />

1005 + </mxCell>

1006 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-276" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=13;dx=33;arrowHead=58;strokeColor=none;fillColor=#59DE9C;fontSize=14;" parent="1" vertex="1">

1007 + <mxGeometry x="1054" y="597" width="66" height="115" as="geometry" />

1008 + </mxCell>

1009 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-277" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=east;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1010 + <mxGeometry x="1014.5" y="709" width="35" height="55" as="geometry" />

1011 + </mxCell>

1012 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-281" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1013 + <mxGeometry x="310" y="667" width="70" height="30" as="geometry" />

1014 + </mxCell>

1015 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-284" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1016 + <mxGeometry x="739" y="863" width="70" height="30" as="geometry" />

1017 + </mxCell>

1018 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-285" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1019 + <mxGeometry x="369" y="863" width="70" height="30" as="geometry" />

1020 + </mxCell>

1021 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-286" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1022 + <mxGeometry x="891" y="863" width="70" height="30" as="geometry" />

1023 + </mxCell>

1024 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-287" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1025 + <mxGeometry x="1011" y="863" width="70" height="30" as="geometry" />

1026 + </mxCell>

1027 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-296" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=8.5;dx=34;arrowHead=55;strokeColor=none;fillColor=#59DE9C;fontSize=14;flipH=1;direction=north;" parent="1" vertex="1">

1028 + <mxGeometry x="801" y="526" width="50" height="120" as="geometry" />

1029 + </mxCell>

1030 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-297" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15;dx=38;arrowHead=55;strokeColor=none;fillColor=#59DE9C;fontSize=14;" parent="1" vertex="1">

1031 + <mxGeometry x="880" y="420" width="90" height="221" as="geometry" />

1032 + </mxCell>

1033 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-298" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.jumpInArrow;dy=15;dx=38;arrowHead=55;strokeColor=none;fillColor=#59DE9C;fontSize=14;flipH=1;direction=east;" parent="1" vertex="1">

1034 + <mxGeometry x="710" y="299" width="100" height="190" as="geometry" />

1035 + </mxCell>

1036 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-299" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1037 + <mxGeometry x="717" y="583" width="70" height="30" as="geometry" />

1038 + </mxCell>

1039 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-300" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1040 + <mxGeometry x="512" y="533" width="70" height="30" as="geometry" />

1041 + </mxCell>

1042 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-301" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1043 + <mxGeometry x="357" y="532" width="70" height="30" as="geometry" />

1044 + </mxCell>

1045 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-302" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1046 + <mxGeometry x="310" y="583" width="70" height="30" as="geometry" />

1047 + </mxCell>

1048 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-303" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.twoWayArrow;dy=0.52;dx=21.1;strokeColor=none;fillColor=#59DE9C;fontSize=14;direction=south;" parent="1" vertex="1">

1049 + <mxGeometry x="133" y="576" width="60" height="50" as="geometry" />

1050 + </mxCell>

1051 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-304" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1052 + <mxGeometry x="159" y="533" width="70" height="30" as="geometry" />

1053 + </mxCell>

1054 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-305" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1055 + <mxGeometry x="229" y="445" width="70" height="30" as="geometry" />

1056 + </mxCell>

1057 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-306" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1058 + <mxGeometry x="100" y="445" width="70" height="30" as="geometry" />

1059 + </mxCell>

1060 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-307" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0.1;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1061 + <mxGeometry x="910" y="666" width="70" height="30" as="geometry" />

1062 + </mxCell>

1063 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-308" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1064 + <mxGeometry x="716" y="666" width="70" height="30" as="geometry" />

1065 + </mxCell>

1066 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-313" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1067 + <mxGeometry x="103" y="1006" width="70" height="120" as="geometry" />

1068 + </mxCell>

1069 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-314" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1070 + <mxGeometry x="183" y="1007" width="70" height="30" as="geometry" />

1071 + </mxCell>

1072 + <mxCell id="6wNVMjbWM3VSl3cxvCD3-315" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" parent="1" vertex="1">

1073 + <mxGeometry x="264" y="1007" width="70" height="120" as="geometry" />

1074 + </mxCell>

1075 + <UserObject label="<div><b><font style="font-size: 20px">&nbsp; ML Engine</font></b></div>&nbsp; &nbsp;Anomaly Detection" link="https://learn.netdata.cloud/docs/agent/ml" linkTarget="_blank" id="6RedLYv8twKyCitmQhae-261">

1076 + <mxCell style="whiteSpace=wrap;html=1;strokeColor=#59DE9C;fillColor=#FFFFFF;fontSize=14;align=center;" vertex="1" parent="1">

1077 + <mxGeometry x="460" y="607" width="180" height="70" as="geometry" />

1078 + </mxCell>

1079 + </UserObject>

1080 + <mxCell id="6RedLYv8twKyCitmQhae-263" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" vertex="1" parent="1">

1081 + <mxGeometry x="512" y="666" width="70" height="30" as="geometry" />

1082 + </mxCell>

1083 + <mxCell id="6RedLYv8twKyCitmQhae-265" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.52;dx=24;notch=0;fillColor=#59DE9C;strokeColor=none;" vertex="1" parent="1">

1084 + <mxGeometry x="618" y="629" width="40" height="30" as="geometry" />

1085 + </mxCell>

1086 + <mxCell id="6RedLYv8twKyCitmQhae-267" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0.1;fillColor=#59DE9C;strokeColor=none;" vertex="1" parent="1">

1087 + <mxGeometry x="1106" y="772.5" width="70" height="30" as="geometry" />

1088 + </mxCell>

1089 + <mxCell id="6RedLYv8twKyCitmQhae-268" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0.1;fillColor=#59DE9C;strokeColor=none;" vertex="1" parent="1">

1090 + <mxGeometry x="601" y="772.5" width="70" height="30" as="geometry" />

1091 + </mxCell>

1092 + <mxCell id="6RedLYv8twKyCitmQhae-270" value="" style="shape=image;verticalLabelPosition=bottom;labelBackgroundColor=default;verticalAlign=top;aspect=fixed;imageAspect=0;image=https://raw.githubusercontent.com/netdata/netdata-ui/a17e8628d120ab739d1c98bf21ed6a240d12ba6d/src/components/icon/assets/anomalies_lens.svg;" vertex="1" parent="1">

1093 + <mxGeometry x="466.5" y="626" width="30" height="30" as="geometry" />

1094 + </mxCell>

1095 + <mxCell id="6RedLYv8twKyCitmQhae-272" value="" style="html=1;shadow=0;dashed=0;align=center;verticalAlign=middle;shape=mxgraph.arrows2.arrow;dy=0.51;dx=19.57;direction=north;notch=0;fillColor=#59DE9C;strokeColor=none;" vertex="1" parent="1">

1096 + <mxGeometry x="512" y="583" width="70" height="30" as="geometry" />

1097 + </mxCell>

1098 + <mxCell id="6RedLYv8twKyCitmQhae-273" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.421;entryY=0.191;startArrow=block;startFill=1;entryPerimeter=0;" edge="1" parent="1">

1099 + <mxGeometry width="50" height="50" relative="1" as="geometry">

1100 + <mxPoint x="820.5975332688117" y="1010" as="sourcePoint" />

1101 + <mxPoint x="835.1999999999998" y="1148.82" as="targetPoint" />

1102 + </mxGeometry>

1103 + </mxCell>

1104 + <mxCell id="6RedLYv8twKyCitmQhae-274" value="" style="endArrow=none;dashed=1;html=1;dashPattern=1 1;strokeColor=#59DE9C;strokeWidth=3;fontSize=13;entryX=0.5;entryY=0;startArrow=block;startFill=1;" edge="1" parent="1">

1105 + <mxGeometry width="50" height="50" relative="1" as="geometry">

1106 + <mxPoint x="813.31" y="1010" as="sourcePoint" />

1107 + <mxPoint x="799.81" y="1089.5" as="targetPoint" />

1108 + </mxGeometry>

1109 + </mxCell>

1110 + </root>

1111 + </mxGraphModel>

1112 + </diagram>

1113 +</mxfile>

Update netdata-overview.xml (#14245)