Simple POST based create-user endpoint inserting into Postgres.
Most of the bottleneck is in the network between the app and postgres handling the inserts.
To run the Go version:
cd go-api
docker compose up --build
To run the Node.js version:
cd node-api
docker compose up --build
To run the Vegeta stress test:
cd load-tester/vegeta
./start.sh 3000 # 3000 req/s, you can try with more
Running on a Ryzen 9 7950X3D with 96GB of DDR56000 and PCIe Gen 5 NVME.
Vegeta results for 3000 req/s for Go:
Starting Vegeta attack for 30s at 3000 requests per second...
Load test finished, generating reports...
Textual report generated: report_3000.txt
Requests [total, rate, throughput] 89998, 2999.95, 2999.76
Duration [total, attack, wait] 30.002s, 30s, 1.828ms
Latencies [min, mean, 50, 90, 95, 99, max] 1.301ms, 2.348ms, 1.834ms, 2.909ms, 3ms, 3.823ms, 123.211ms
Bytes In [total, mean] 2429946, 27.00
Bytes Out [total, mean] 8279816, 92.00
Success [ratio] 100.00%
Status Codes [code:count] 201:89998
Error Set:
Vegeta results for 3000 req/s for Node.js (no cluster):
Starting Vegeta attack for 30s at 3000 requests per second...
Load test finished, generating reports...
Textual report generated: report_3000.txt
Requests [total, rate, throughput] 89999, 3000.01, 2999.84
Duration [total, attack, wait] 30.001s, 30s, 1.683ms
Latencies [min, mean, 50, 90, 95, 99, max] 1.448ms, 4.458ms, 1.931ms, 3.097ms, 3.249ms, 97.854ms, 290.991ms
Bytes In [total, mean] 2339974, 26.00
Bytes Out [total, mean] 8279908, 92.00
Success [ratio] 100.00%
Status Codes [code:count] 201:89999
Error Set:
- In Docker Compose, prefer
network_mode: host, as the docker internal networking adds considerable bottleneck - Node.js will undoubtfully be "slower". Average, time per request will be slower than Go
- Adding Node.js Cluster can handle more requests/sec but also adds extra networking and coordination overhead
- Yes. Go will be faster
- Should you choose Go blindly? No, only if throughput is the only criteria, disregarding productivity, integration, team preference, toolset, etc.
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