Metrics

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• best article on counter/summary/histogram
• Histograms in-depth

Run

source ~/apps/code/githubs/abhi1010/prometheus-tuts/ve/bin/activate
which python
python prom.py

Access at http://localhost:8000

Prom

prometheus --config.file=prom.yml

Samples

avg(rate(request_processing_seconds_count[1m])) by (job, service)

Results

This looks something like:

# HELP process_virtual_memory_bytes Virtual memory size in bytes.
# TYPE process_virtual_memory_bytes gauge
process_virtual_memory_bytes 441548800.0
# HELP process_resident_memory_bytes Resident memory size in bytes.
# TYPE process_resident_memory_bytes gauge
process_resident_memory_bytes 20131840.0
# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.
# TYPE process_start_time_seconds gauge
process_start_time_seconds 1525673216.73
# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
# TYPE process_cpu_seconds_total counter
process_cpu_seconds_total 0.19
# HELP process_open_fds Number of open file descriptors.
# TYPE process_open_fds gauge
process_open_fds 7.0
# HELP process_max_fds Maximum number of open file descriptors.
# TYPE process_max_fds gauge
process_max_fds 1024.0
# HELP python_info Python platform information
# TYPE python_info gauge
python_info{implementation="CPython",major="3",minor="6",patchlevel="4",version="3.6.4"} 1.0
# HELP request_processing_seconds Time spent processing request
# TYPE request_processing_seconds summary
request_processing_seconds_count 30.0
request_processing_seconds_sum 13.410392665999098

How to run them

Run Prometheus prometheus --config.file=prom.yml

Run alertmanager alertmanager

Run Python alert Receiver python receiver.py

Run sample bot python prom.py