We're polling multiple ESP8266 Sensor Servers from a server-side plugin configured and logged on this page.
See also ESP8266 VPN Datalog
View recent sensor data. plot 
digraph { rankdir=LR node [shape=box style=filled fillcolor=palegreen] datalog [label="datalog\nplugin"] assets [label="assets\nplugin"] desk -> datalog office -> datalog bedroom -> datalog datalog -> assets -> html -> plotly }
Sensor clusters named by location. Change that here when moved. SENSOR desk http://home.c2.com:8020 SENSOR office http://home.c2.com:8021 SENSOR bedroom http://home.c2.com:8022 SENSOR garage http://home.c2.com:8023 Recording discipline and retention. Now up from 2400 samples/day. DAY 5000 KEEP 10
We offer a script using d3 based plotly.js for rendering this data fetched directly from assets. clock github
plugins/datalog/esp8266-datalog
wiki-plugin-datalog
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Big numbers. 1624921431577 = June 28, 2021 4:03:51 PM DST indoors 478/16 c in f = 85.775 outdoors 714/16 c in f = 112.325
{ "clock": 1624921431577, "result": [ { "name": "desk", "data": { "28F0BAF6": 402, "28DE9AF6": 399, "2851B4F6": 403, "28CF99F6": 401 } }, { "name": "office", "data": { "28FF081D": 455, "28FFEC6F": 447 } }, { "name": "bedroom", "data": { "28FFC86F": 475, "28FFDA1D": 477, "28FF3E6F": 478 } }, { "name": "garage", "data": { "28FF2E41": 710, "28FF6BCE": 714, "28FF9763": 711 } } ] }
See Datalog Record Locator for editing.
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pages/esp8266-datalog
I scan my data log for gaps due to power outage, network outage or most likely both. I find nine in the last 10 days.
250 seconds 1/11/2024 10:45:38 PM 190 seconds 1/13/2024 8:23:53 AM 71 hours 1/13/2024 11:48:59 AM 220 seconds 1/16/2024 8:53:59 PM 225 seconds 1/18/2024 11:32:31 AM 173 seconds 1/18/2024 4:36:43 PM 156 seconds 1/18/2024 11:27:12 PM 156 seconds 1/19/2024 1:54:42 AM 35 seconds 1/19/2024 2:08:31 AM
After this morning's outage I will resume gap logging.
begin 1/26/2024 4:00:11 PM 86 seconds 1/26/2024 5:34:23 PM 35 seconds 1/30/2024 3:04:48 AM 173 seconds 1/30/2024 3:53:46 AM 35 seconds 1/30/2024 4:07:35 AM 35 seconds 1/30/2024 7:47:40 AM 69 seconds 2/1/2024 10:06:48 AM 483 seconds 2/2/2024 4:51:33 PM 211 seconds 2/2/2024 5:19:12 PM 190 seconds 2/2/2024 6:58:03 PM 35 seconds 2/2/2024 7:49:53 PM 985 seconds 2/3/2024 8:07:33 AM 121 seconds 2/3/2024 5:03:38 PM 35 seconds 2/3/2024 5:17:11 PM 778 seconds 2/5/2024 3:49:30 AM 30 minutes 2/5/2024. 7:24:40 AM