Dontopedia

System Resource Monitor Script

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

System Resource Monitor Script has 18 facts recorded in Dontopedia across 3 references, with 3 live disagreements.

18 facts·14 predicates·3 sources·3 in dispute

Mostly:includes metric(2), uses library(2), monitors resource(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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receivesMetricsFromReceives Metrics From(1)

Other facts (17)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

17 facts
PredicateValueRef
Includes Metriccpu_usage[2]
Includes Metricmemory_usage[2]
Uses Libraryrequests[2]
Uses Librarytime[2]
Monitors ResourceCPU usage[2]
Monitors Resourcememory usage[2]
Purposeperformance-monitoring[1]
Has EndpointSystem Monitor[2]
Sends Metrics toPushgateway[2]
Uses Http MethodPOST[2]
Has Looptrue[2]
Has Sleep Interval1[2]
Calls Functionmonitor_resources[2]
Has Entry Point__main__[2]
Pushes Metrics toPushgateway[3]
Written inPython[3]
Modified byuser[3]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

purposebeam/72854eb0-d89d-40b6-8068-2448e36a8835
performance-monitoring
hasEndpointbeam/720cbd9f-298a-4d85-967e-862c741619fd
http://localhost:9091/metrics/job/system_monitor
sendsMetricsTobeam/720cbd9f-298a-4d85-967e-862c741619fd
ex:pushgateway
includesMetricbeam/720cbd9f-298a-4d85-967e-862c741619fd
cpu_usage
includesMetricbeam/720cbd9f-298a-4d85-967e-862c741619fd
memory_usage
usesHTTPMethodbeam/720cbd9f-298a-4d85-967e-862c741619fd
POST
hasLoopbeam/720cbd9f-298a-4d85-967e-862c741619fd
true
hasSleepIntervalbeam/720cbd9f-298a-4d85-967e-862c741619fd
1
callsFunctionbeam/720cbd9f-298a-4d85-967e-862c741619fd
monitor_resources
labelbeam/720cbd9f-298a-4d85-967e-862c741619fd
System Resource Monitor Script
usesLibrarybeam/720cbd9f-298a-4d85-967e-862c741619fd
requests
usesLibrarybeam/720cbd9f-298a-4d85-967e-862c741619fd
time
hasEntryPointbeam/720cbd9f-298a-4d85-967e-862c741619fd
__main__
monitorsResourcebeam/720cbd9f-298a-4d85-967e-862c741619fd
CPU usage
monitorsResourcebeam/720cbd9f-298a-4d85-967e-862c741619fd
memory usage
pushesMetricsTobeam/f8451ec9-8b4f-4ec3-9aec-616500a1e0de
ex:pushgateway
writtenInbeam/f8451ec9-8b4f-4ec3-9aec-616500a1e0de
Python
modifiedBybeam/f8451ec9-8b4f-4ec3-9aec-616500a1e0de
user

References (3)

3 references
  1. ctx:claims/beam/72854eb0-d89d-40b6-8068-2448e36a8835
    • full textbeam-chunk
      text/plain1 KBdoc:beam/72854eb0-d89d-40b6-8068-2448e36a8835
      Show excerpt
      [Turn 2662] User: I'm trying to optimize my system's performance for handling 6,000 concurrent queries with 99.95% reliability. Can you help me identify potential bottlenecks and suggest optimization techniques? Here's a sample performance
  2. ctx:claims/beam/720cbd9f-298a-4d85-967e-862c741619fd
    • full textbeam-chunk
      text/plain1 KBdoc:beam/720cbd9f-298a-4d85-967e-862c741619fd
      Show excerpt
      # Prepare the metrics payload payload = f'cpu_usage {cpu_usage}\nmemory_usage {memory_usage}' # Send the metrics to the pushgateway response = requests.post('http://localhost:9091/metrics/job/syst
  3. ctx:claims/beam/f8451ec9-8b4f-4ec3-9aec-616500a1e0de
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f8451ec9-8b4f-4ec3-9aec-616500a1e0de
      Show excerpt
      By default, the pushgateway listens on port `9091`. You can change this by specifying the `--web.listen-address` flag. ```sh ./pushgateway --web.listen-address=:9091 ``` ### Step 2: Configure Prometheus to Scrape the Pushgatew

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