View Source Benchmarking
Run benchmarking tests against the demo webhook
Execute the following steps to run a benchmark on Lightning:
Make sure you have k6 installed locally. If you're using
asdf
you can runasdf install
in the project root.Start up a local Lightning instance with an attached iex session. Note that to simulate a production environment, set
RTM=false
. In prod, you'll have yourws-worker
running on a separate machine:RMT=false iex -S mix phx.server
In the attached iex session, run the following, to have Lightning log internal telemetry data:
filepath = Path.join("benchmarking", "load_test_data.csv") output_file = File.open!(filepath, [:append]) c "benchmarking/load_test_production_spans.exs" LoadTestingPrep.init(output_file)
Run the demo setup script:
mix run --no-start priv/repo/demo.exs
ThewebhookURL
is already set to default to the webhook created in the demo dataIf you would like to point at a different instance or webhook url you can provide it via
WEBHOOK_URL
.In another terminal (do not stop the Lightning server) run the
benchmarking/script.js
file using the following commandk6 run benchmarking/script.js
If the script exits successfully, this means the app met the defined performance thresholds.
By default, the test payload is just 2 kb. Should you wish to test it with larger payloads, you can pass in the
PAYLOAD_SIZE_KB
ENV variable. This variable allows you to specify the payload size in KB (for now, integer values only), (e.g. 2 KB):k6 run -e PAYLOAD_SIZE_KB=2 benchmarking/script.js
To collect the benchmarking data in a CSV file, run the previous command with the
--out filename
option.k6 run --out csv=test_results.csv benchmarking/script.js
In the iex session, close the output file:
LoadTestingPrep.fin(output_file)
See results output for other available output formats.
Sample benchmarks
System specs on a 2020 MacBook Pro
Model Name: MacBook Pro
Model Identifier: MacBookPro17,1
Model Number: Z11B000E3LL/A
Chip: Apple M1
Total Number of Cores: 8 (4 performance and 4 efficiency)
Memory: 16 GB
Results with 50kb payloads
k6 run -e PAYLOAD_SIZE=10 benchmarking/script.js Node 18.17.1 k6 0.43.1 07:40:29
/\ |‾‾| /‾‾/ /‾‾/
/\ / \ | |/ / / /
/ \/ \ | ( / ‾‾\
/ \ | |\ \ | (‾) |
/ __________ \ |__| \__\ \_____/ .io
execution: local
script: benchmarking/script.js
output: -
scenarios: (100.00%) 1 scenario, 50 max VUs, 2m50s max duration (incl. graceful stop):
* webhookRequests: Up to 50.00 iterations/s for 2m20s over 3 stages (maxVUs: 50, gracefulStop: 30s)
✓ status was 200
█ setup
checks.........................: 100.00% ✓ 5765 ✗ 0
data_received..................: 1.6 MB 12 kB/s
data_sent......................: 59 MB 421 kB/s
http_req_blocked...............: avg=16.01µs min=2µs med=9µs max=6.84ms p(90)=12µs p(95)=13µs
http_req_connecting............: avg=4.35µs min=0s med=0s max=2.22ms p(90)=0s p(95)=0s
✓ http_req_duration..............: avg=53.62ms min=26.86ms med=49.03ms max=501.62ms p(90)=66.62ms p(95)=84.33ms
{ expected_response:true }...: avg=53.62ms min=26.86ms med=49.03ms max=501.62ms p(90)=66.62ms p(95)=84.33ms
✓ http_req_failed................: 0.00% ✓ 0 ✗ 5765
http_req_receiving.............: avg=88.57µs min=13µs med=90µs max=2.99ms p(90)=108µs p(95)=124.8µs
http_req_sending...............: avg=97.47µs min=29µs med=83µs max=6.86ms p(90)=139µs p(95)=162µs
http_req_tls_handshaking.......: avg=0s min=0s med=0s max=0s p(90)=0s p(95)=0s
http_req_waiting...............: avg=53.44ms min=26.68ms med=48.84ms max=501.43ms p(90)=66.43ms p(95)=84.05ms
http_reqs......................: 5765 41.15402/s
iteration_duration.............: avg=54.34ms min=20.75µs med=49.75ms max=502.26ms p(90)=67.39ms p(95)=84.91ms
iterations.....................: 5765 41.15402/s
vus............................: 50 min=50 max=50
vus_max........................: 50 min=50 max=50
running (2m20.1s), 00/50 VUs, 5765 complete and 0 interrupted iterations
webhookRequests ✓ [======================================] 00/50 VUs 2m20s 01.12 iters/s
Run load tests for a hypothetical cold chain system
benchmarking/sample_cold_chain_monitoring_script.js
contains a k6 script that
can be used to simulate data from a hypothetical cold chain system. It requires a
custom job to be created (an example of which can be found at the top of the
script file).
The test can be excuted as follows (WEBHOOK_URL
is not optional):
WEBHOOK_URL=... k6 run benchmarking/sample_cold_chain_monitoring_script.js