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Gonzalo Paniagua Javier gonzalop

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gonzalop / aa_intro_mosquitto_v2.1rc2.md
Last active January 23, 2026 17:28

Below is the analysis and the actual output of running the throughput test in https://github.com/gonzalop/mq, using examples/throughput/multiple_different_args.sh against a local mosquitto MQTT 2.1rc2 server running on a container with host networking.

Note that Paho v3 lacks features and checks present in v5 clients, so it's not really comparing apples to apples, but it's a good reference.

The analysis is what Gemini thought of the output from both the client side and the server side perspectives.

@gonzalop
gonzalop / a_intro.md
Last active January 23, 2026 07:27
(mosquitto server) Throughput test of github.com/gonzalop/mq vs Paho v3 and Paho v5

Below is the analysis and the actual output of running the throughput test in https://github.com/gonzalop/mq, using examples/throughput/multiple_different_args.sh against a local mosquitto MQTT 2.0.22 server running on bare metal.

Note that Paho v3 lacks features and checks present in v5 clients, so it's not really comparing apples to apples, but it's a good reference.

The analysis is what Gemini thought of the output from both the client side and the server side perspectives.

@gonzalop
gonzalop / changes-to-integration-setup-test-go.patch
Last active January 18, 2026 02:51
+ } else if isVerne {
+ // VerneMQ configuration
+ // Our custom image uses a wrapper script start_vernemq
+ cmd := []string{"start_vernemq", "--port", port}
+ // Parse mosquitto config to extract limits
+ lines := strings.Split(configContent, "\n")
+ for _, line := range lines {
+ line = strings.TrimSpace(line)
+ if strings.HasPrefix(line, "max_packet_size") {
+ var size int
@gonzalop
gonzalop / PERFORMANCE_REPORT_PHASE2.md
Created January 17, 2026 19:45

Performance Optimization Report - Phase 2

1. Objective

The goal was to achieve an additional 5% performance improvement in the dns library's end-to-end throughput, building upon previous optimizations.

2. Optimizations Implemented

A. Zero-Allocation Unpacking for Empty Sections

Location: msg.go (unpackQuestions, unpackRRs)

@gonzalop
gonzalop / PERFORMANCE_REPORT.md
Last active January 17, 2026 05:33
Attempt to use Gemini to improve the performance in the hot path for https://codeberg.org/miekg/dns

Performance Optimization Report - Incremental Unpacking

This report details the performance gains achieved by implementing incremental unpacking in the dns library. The optimizations focus on the server's hot path where a message is often partially unpacked for filtering before being fully unpacked by a handler.

System Information

  • OS: Linux
  • Arch: amd64
  • CPU: AMD Ryzen AI 9 365 w/ Radeon 880M

1. Micro-Benchmarks (Incremental Unpacking)

@gonzalop
gonzalop / a_test_with_vernemq_throughput_test.md
Last active January 18, 2026 03:04
(VerneMQ) Throughput test of github.com/gonzalop/mq vs Paho v3 and Paho v5 Go MQTT libraries

Below is the analysis and the actual output of running the throughput test in https://github.com/gonzalop/mq, using examples/throughput/multiple_different_args.sh against a local VerneMQ MQTT server running in a podman conrtainer like:

podman run --replace -p 1883:1883 -e "DOCKER_VERNEMQ_ACCEPT_EULA=yes" -e "DOCKER_VERNEMQ_ALLOW_ANONYMOUS=on" --name vernemq1 -d vernemq/vernemq

and then another run using --network host.

Note that Paho v3 lacks features and checks present in v5 clients, so it's not really comparing apples to apples, but it's a good reference.

The analysis is what Gemini thought of the output from the client perspective.

@gonzalop
gonzalop / throughput_test.md
Last active January 17, 2026 03:59
(Mochi server) Throughput test of github.com/gonzalop/mq vs Paho v3 and Paho v5 Go MQTT libraries

Below is the analysis and the actual output of running the throughput test in https://github.com/gonzalop/mq, using examples/throughput/multiple_different_args.sh against a local Mochi MQTT server running on bare metal.

Note that Paho v3 lacks features and checks present in v5 clients, so it's not really comparing apples to apples, but it's a good reference.

The analysis is what Gemini thought of the output.

I really ❤️ the memory use + GC runs of mq, and the performance is not to shabby either.