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Puma worker TERM/restart benchmark (Docker + k6): app, scripts, final artifacts, and results summary
Raw
README.md

Worker TERM/restart benchmark (Docker + k6)

This benchmark reproduces the scenario discussed in chat:

  • 4 Puma workers
  • open-model traffic at 12 req/s (k6 constant-arrival-rate)
  • synthetic Rack app with ~250ms service time
  • service alternates CPU and IO slices randomly every ~10ms
  • compare threads=5 vs threads=25
  • during traffic: kill one worker, wait for restart, let it serve ~5s, then kill a different worker (round-robin)

Files

  • app.ru - synthetic 50/50 CPU/IO Rack app
  • puma.rb - Puma config (WEB_CONCURRENCY=4, thread count via env)
  • docker-compose.yml - Puma + k6 services (defaults to 4 CPUs/container)
  • k6/open_traffic.js - k6 open-model load generator
  • run.fish - runs both thread scenarios and performs TERM/restart loop

Run

cd benchmarks/docker/term-capacity
# optional override, defaults to 4 CPUs per container
set -x CONTAINER_CPUS 4
./run.fish

Results are written under:

benchmarks/docker/term-capacity/results/<timestamp>/

Each scenario folder (threads-5, threads-25) includes:

  • k6-summary.json
  • k6-metrics.json
  • puma-stats.ndjson (control server snapshots each second)
  • kill-events.ndjson (every TERM + observed restart)
  • kill-summary.txt (counts: terms, restarts, timeouts, boot lines)
  • puma.log
Raw
analyze.rb
# frozen_string_literal: true
require 'json'
require 'time'
def summarize(values)
return { count: 0 } if values.empty?
sorted = values.sort
{
count: sorted.length,
avg: sorted.sum / sorted.length,
p50: percentile(sorted, 50),
p95: percentile(sorted, 95),
max: sorted[-1]
}
end
def percentile(sorted_values, percentile_rank)
rank = (percentile_rank / 100.0) * (sorted_values.length - 1)
lower = rank.floor
upper = rank.ceil
return sorted_values[lower] if lower == upper
weight = rank - lower
sorted_values[lower] + ((sorted_values[upper] - sorted_values[lower]) * weight)
end
def seconds_between(iso_ts, event_time)
Time.iso8601(iso_ts).to_f - event_time
end
def load_k6_points(path)
metrics = Hash.new { |hash, key| hash[key] = [] }
File.foreach(path) do |line|
next if line.strip.empty?
row = JSON.parse(line)
next unless row['type'] == 'Point'
metric = row['metric']
value = row.dig('data', 'value')
time = row.dig('data', 'time')
next unless metric && value && time
metrics[metric] << [time, value.to_f]
end
metrics
end
def load_stats(path)
samples = []
File.foreach(path) do |line|
next if line.strip.empty?
row = JSON.parse(line)
stats = row['stats']
worker_status = stats['worker_status'] || []
backlog = worker_status.sum { |w| w.dig('last_status', 'backlog').to_i }
running = worker_status.sum { |w| w.dig('last_status', 'running').to_i }
pool_capacity = worker_status.sum { |w| w.dig('last_status', 'pool_capacity').to_i }
samples << {
time: row['ts'],
backlog: backlog,
running: running,
pool_capacity: pool_capacity,
workers: worker_status.length
}
end
samples
end
def split_metric(points, event_time, before_window:, after_window:)
before = []
after = []
points.each do |iso_time, value|
delta = seconds_between(iso_time, event_time)
before << value if delta >= -before_window && delta < 0
after << value if delta >= 0 && delta <= after_window
end
[before, after]
end
def split_stats(samples, event_time, before_window:, after_window:)
before = []
after = []
samples.each do |sample|
delta = seconds_between(sample[:time], event_time)
before << sample if delta >= -before_window && delta < 0
after << sample if delta >= 0 && delta <= after_window
end
[before, after]
end
def stats_summary(samples, key)
summarize(samples.map { |sample| sample[key] })
end
def format_summary(label, summary, unit = 'ms')
return "- #{label}: no data" if summary[:count].zero?
"- #{label}: n=#{summary[:count]}, avg=#{format('%.2f', summary[:avg])}#{unit}, p50=#{format('%.2f', summary[:p50])}#{unit}, p95=#{format('%.2f', summary[:p95])}#{unit}, max=#{format('%.2f', summary[:max])}#{unit}"
end
if ARGV.length != 4
warn "Usage: ruby analyze.rb <k6_metrics.json> <puma_stats.ndjson> <event_iso8601> <output.md>"
exit 1
end
k6_path, stats_path, event_iso8601, output_path = ARGV
event_time = Time.iso8601(event_iso8601).to_f
before_window = 20
after_window = 20
metrics = load_k6_points(k6_path)
stats = load_stats(stats_path)
http_before, http_after = split_metric(metrics.fetch('http_req_duration', []), event_time, before_window:, after_window:)
waiting_before, waiting_after = split_metric(metrics.fetch('http_req_waiting', []), event_time, before_window:, after_window:)
queue_before, queue_after = split_metric(metrics.fetch('queue_time_ms', []), event_time, before_window:, after_window:)
service_before, service_after = split_metric(metrics.fetch('service_time_ms', []), event_time, before_window:, after_window:)
stats_before, stats_after = split_stats(stats, event_time, before_window:, after_window:)
report = <<~REPORT
## Event window analysis
- TERM sent at: #{event_iso8601}
- Before window: #{before_window}s before TERM
- After window: #{after_window}s after TERM
### Request duration (`http_req_duration`)
#{format_summary('before', summarize(http_before))}
#{format_summary('after', summarize(http_after))}
### Waiting time (`http_req_waiting`)
#{format_summary('before', summarize(waiting_before))}
#{format_summary('after', summarize(waiting_after))}
### Estimated queue time (`queue_time_ms = duration - service_time`)
#{format_summary('before', summarize(queue_before))}
#{format_summary('after', summarize(queue_after))}
### Service time from app header (`service_time_ms`)
#{format_summary('before', summarize(service_before))}
#{format_summary('after', summarize(service_after))}
### Puma aggregate backlog (sum across workers)
#{format_summary('before', stats_summary(stats_before, :backlog), '')}
#{format_summary('after', stats_summary(stats_after, :backlog), '')}
### Puma aggregate running threads (sum across workers)
#{format_summary('before', stats_summary(stats_before, :running), '')}
#{format_summary('after', stats_summary(stats_after, :running), '')}
### Puma aggregate pool capacity (sum across workers)
#{format_summary('before', stats_summary(stats_before, :pool_capacity), '')}
#{format_summary('after', stats_summary(stats_after, :pool_capacity), '')}
REPORT
File.write(output_path, report)
puts report
Raw
app.ru
# frozen_string_literal: true
require 'json'
CLOCK = Process::CLOCK_MONOTONIC
TARGET_SERVICE_SECONDS = 0.250
SLICE_MIN_SECONDS = 0.006
SLICE_MAX_SECONDS = 0.014
def busy_spin(duration_seconds)
deadline = Process.clock_gettime(CLOCK) + duration_seconds
value = 1.0
while Process.clock_gettime(CLOCK) < deadline
value = Math.sqrt(value + 1.000001)
end
value
end
run lambda { |env|
path = env['PATH_INFO']
if path == '/health'
next [200, { 'Content-Type' => 'text/plain' }, ['ok']]
end
request_start = Process.clock_gettime(CLOCK)
deadline = request_start + TARGET_SERVICE_SECONDS
cpu_seconds = 0.0
io_seconds = 0.0
while (remaining = deadline - Process.clock_gettime(CLOCK)) > 0
slice = [remaining, rand * (SLICE_MAX_SECONDS - SLICE_MIN_SECONDS) + SLICE_MIN_SECONDS].min
if rand < 0.5
cpu_start = Process.clock_gettime(CLOCK)
busy_spin(slice)
cpu_seconds += Process.clock_gettime(CLOCK) - cpu_start
else
io_start = Process.clock_gettime(CLOCK)
sleep(slice)
io_seconds += Process.clock_gettime(CLOCK) - io_start
end
end
service_ms = ((Process.clock_gettime(CLOCK) - request_start) * 1000.0)
body = {
pid: Process.pid,
service_ms: service_ms.round(2),
cpu_ms: (cpu_seconds * 1000.0).round(2),
io_ms: (io_seconds * 1000.0).round(2)
}.to_json
[
200,
{
'Content-Type' => 'application/json',
'X-Service-Time-Ms' => format('%.3f', service_ms),
'X-Worker-Pid' => Process.pid.to_s
},
[body]
]
}
Raw
docker-compose.yml
services:
puma:
build:
context: ../../..
dockerfile: benchmarks/docker/term-capacity/Dockerfile
cpus: ${CONTAINER_CPUS:-4}
environment:
WEB_CONCURRENCY: 4
MIN_THREADS: ${MIN_THREADS:-5}
MAX_THREADS: ${MAX_THREADS:-5}
PORT: 9292
CONTROL_PORT: 9293
ports:
- "9292:9292"
- "9293:9293"
healthcheck:
test: ["CMD", "curl", "-fsS", "http://localhost:9292/health"]
interval: 2s
timeout: 1s
retries: 30
k6:
image: grafana/k6:1.6.1
cpus: ${CONTAINER_CPUS:-4}
volumes:
- ./k6:/scripts:ro
- ./results:/results
working_dir: /scripts
entrypoint: ["k6"]
Raw
SUMMARY.md

Puma TERM/restart benchmark (Docker + k6)

Goal

Benchmark a synthetic Rack app (~250ms service time, random 50/50 IO+CPU slices every ~10ms) on Puma with 4 workers while continuously terminating workers in a loop:

  1. TERM one worker
  2. wait for replacement to boot
  3. let replacement serve traffic for ~5s
  4. TERM a different worker (round-robin)

Environment

  • Puma workers: 4
  • Thread scenarios: 5 and 25
  • Traffic model: k6 open model (constant-arrival-rate)
  • Containers: 4 CPUs each (cpus: 4 in compose)

Rate tuning (threads=5 quick runs)

  • 16 rps -> avg queue_time_ms 3.16
  • 20 rps -> avg queue_time_ms 5.78
  • 24 rps -> avg queue_time_ms 8.89
  • 26 rps -> avg queue_time_ms 10.39 (target band reached)

Final full run used for comparison

  • Run id: 20260303T002252Z
  • Rate: 26 rps
  • Duration: 80s
  • Warmup: 10s

Queue time (queue_time_ms = http_req_duration - service_time)

threads=5

  • avg: 9.34 ms
  • p50: 1.21 ms
  • p90: 29.05 ms
  • p95: 40.39 ms
  • max: 125.01 ms

threads=25

  • avg: 10.35 ms
  • p50: 1.52 ms
  • p90: 32.89 ms
  • p95: 44.92 ms
  • max: 96.43 ms

Worker kill/restart counts (full run)

threads=5

  • terms_sent: 12
  • restarts_observed: 12
  • restart_timeouts: 0
  • unique_worker_indexes_killed: 4

threads=25

  • terms_sent: 12
  • restarts_observed: 12
  • restart_timeouts: 0
  • unique_worker_indexes_killed: 4

Raw artifacts are included in this gist.

Raw
final_threads-25_k6-metrics.json
This file has been truncated, but you can view the full file.
{"type":"Metric","data":{"name":"http_reqs","type":"counter","contains":"default","thresholds":[],"submetrics":null},"metric":"http_reqs"}
{"metric":"http_reqs","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":1,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_duration","type":"trend","contains":"time","thresholds":[],"submetrics":[{"name":"http_req_duration{expected_response:true}","suffix":"expected_response:true","tags":{"expected_response":"true"}}]},"metric":"http_req_duration"}
{"metric":"http_req_duration","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":251.417556,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_blocked","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_blocked"}
{"metric":"http_req_blocked","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0.388541,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_connecting","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_connecting"}
{"metric":"http_req_connecting","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0.093708,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_tls_handshaking","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_tls_handshaking"}
{"metric":"http_req_tls_handshaking","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_sending","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_sending"}
{"metric":"http_req_sending","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0.025042,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_waiting","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_waiting"}
{"metric":"http_req_waiting","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":251.315306,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_receiving","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"http_req_receiving"}
{"metric":"http_req_receiving","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0.077208,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"http_req_failed","type":"rate","contains":"default","thresholds":["rate<0.01"],"submetrics":null},"metric":"http_req_failed"}
{"metric":"http_req_failed","type":"Point","data":{"time":"2026-03-03T00:24:16.723174884Z","value":0,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"type":"Metric","data":{"name":"checks","type":"rate","contains":"default","thresholds":[],"submetrics":null},"metric":"checks"}
{"metric":"checks","type":"Point","data":{"time":"2026-03-03T00:24:16.723350884Z","value":1,"tags":{"check":"status is 200","group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"service_time_ms","type":"trend","contains":"default","thresholds":[],"submetrics":null},"metric":"service_time_ms"}
{"metric":"service_time_ms","type":"Point","data":{"time":"2026-03-03T00:24:16.723386925Z","value":250.963,"tags":{"group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"queue_time_ms","type":"trend","contains":"default","thresholds":[],"submetrics":null},"metric":"queue_time_ms"}
{"metric":"queue_time_ms","type":"Point","data":{"time":"2026-03-03T00:24:16.723408634Z","value":0.45455599999999663,"tags":{"group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"data_sent","type":"counter","contains":"data","thresholds":[],"submetrics":null},"metric":"data_sent"}
{"metric":"data_sent","type":"Point","data":{"time":"2026-03-03T00:24:16.723410092Z","value":69,"tags":{"group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"data_received","type":"counter","contains":"data","thresholds":[],"submetrics":null},"metric":"data_received"}
{"metric":"data_received","type":"Point","data":{"time":"2026-03-03T00:24:16.723410092Z","value":177,"tags":{"group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"iteration_duration","type":"trend","contains":"time","thresholds":[],"submetrics":null},"metric":"iteration_duration"}
{"metric":"iteration_duration","type":"Point","data":{"time":"2026-03-03T00:24:16.723410092Z","value":252.111972,"tags":{"group":"","scenario":"open_model"}}}
{"type":"Metric","data":{"name":"iterations","type":"counter","contains":"default","thresholds":[],"submetrics":null},"metric":"iterations"}
{"metric":"iterations","type":"Point","data":{"time":"2026-03-03T00:24:16.723410092Z","value":1,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"http_reqs","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":1,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_duration","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":261.821171,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_blocked","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0.399792,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_connecting","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0.352541,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_tls_handshaking","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_sending","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0.041292,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_waiting","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":261.760713,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_receiving","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0.019166,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_failed","type":"Point","data":{"time":"2026-03-03T00:24:16.773710503Z","value":0,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"checks","type":"Point","data":{"time":"2026-03-03T00:24:16.773740087Z","value":1,"tags":{"check":"status is 200","group":"","scenario":"open_model"}}}
{"metric":"service_time_ms","type":"Point","data":{"time":"2026-03-03T00:24:16.773752378Z","value":259.737,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"queue_time_ms","type":"Point","data":{"time":"2026-03-03T00:24:16.773766836Z","value":2.0841709999999694,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"data_sent","type":"Point","data":{"time":"2026-03-03T00:24:16.77376817Z","value":69,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"data_received","type":"Point","data":{"time":"2026-03-03T00:24:16.77376817Z","value":177,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"iteration_duration","type":"Point","data":{"time":"2026-03-03T00:24:16.77376817Z","value":262.357921,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"iterations","type":"Point","data":{"time":"2026-03-03T00:24:16.77376817Z","value":1,"tags":{"group":"","scenario":"open_model"}}}
{"metric":"http_reqs","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":1,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_duration","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":257.676842,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_blocked","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":0.122084,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_connecting","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":0.089125,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_tls_handshaking","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":0,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
{"metric":"http_req_sending","type":"Point","data":{"time":"2026-03-03T00:24:16.806276931Z","value":0.027792,"tags":{"expected_response":"true","group":"","method":"GET","name":"http://puma:9292/work","proto":"HTTP/1.1","scenario":"open_model","status":"200","url":"http://puma:9292/work"}}}
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