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libioxd: the libioma entry under the library's new name, on every engine-scored H1 profile plus static-tls - #1473

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libioxd: the libioma entry under the library's new name, on every engine-scored H1 profile plus static-tls#1473
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libioxd

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@MDA2AV MDA2AV commented Sep 9, 2026

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Summary

The engine behind the libioma entry was renamed libioxd (github.com/MDA2AV/libioxd, manual) and its API changed, so the entry follows: directory, meta.json, the Dockerfile's pinned commit (LIBIOXD_VERSION) and the handlers.

The entry now subscribes to every H1 profile an engine is scored on - baseline, limited-conn, async, latency-1m, latency-10k, json-tls, 8gbit - plus static-tls, and keeps the latency-500k-8cpu reference it already ran.

Endpoint Profile docs How
GET/POST /baseline11 baseline query slices summed, the body read on demand, digits written into the reply slab
GET /delay/{ms} async ioxd_delay: the kernel's timeout on the ring, one entry per request; the coroutine parks
GET /json/{count}?m= json-tls dataset parsed once with cJSON, serialized per request by the library's JSON writer, total = price × quantity × m
POST /echo 8gbit the body read from its framing (Content-Length or chunked) straight into the reply slab and sent as it is read
GET /static/{file} static-tls opened, sized and read from disk on every request, nothing cached; the .br/.gz twin when Accept-Encoding takes it

TLS on :8081 is TLS 1.3 only: OpenSSL runs the handshake, the kernel frames the records (kTLS transmit and receive), so the bench host needs the tls module as it does for the ioxide entry. libioxd loads a <dir>/<host>/cert.pem store, so the entry links a default host to the mounted /certs/server.crt and server.key.

The entry's rows in site/data (results, frameworks.json) carry the new name so the board does not keep a libioma ghost; the numbers are the old ones until the next benchmark run.

Validation

./scripts/validate.sh libioxd on the final build: 63 passed, 0 failed - baseline (including the exhaustive fragmentation sweep, 9 shapes × 1047 offsets), async (32 overlapping delays), json-tls (items matched against the dataset), 8gbit (byte-exact at 1 B to 100 KB, Content-Length and chunked, empty body), static-tls (20 sizes, 15 compressed twins, both follow-the-disk probes), and the TLS posture and quality probes on :8081.

🤖 Generated with Claude Code

https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P

…ine-scored H1 profile plus static-tls

The library was renamed libioxd (github.com/MDA2AV/libioxd) and its API changed
(ioxd_bind + ioxd_run, reserve/advance into the reply slab, ioxd_delay on the
ring, TLS 1.3 with kTLS records, a JSON writer), so the entry follows: the
directory, meta.json, the Dockerfile's pinned commit and the handlers.

Subscribed to the profiles an engine is scored on - baseline, limited-conn,
async, latency-1m, latency-10k, json-tls, 8gbit - plus static-tls, and the
latency-500k-8cpu reference the old entry already ran. New handlers:

  GET  /delay/{ms}       ioxd_delay: the kernel's timeout on the ring, per request
  GET  /json/{count}?m=  the dataset (parsed once with cJSON) serialized per
                         request by the library's writer, total = price x quantity x m
  POST /echo             the body read from its framing straight into the reply
                         slab and sent as it is read; Content-Length kept, chunked streams
  GET  /static/{file}    opened, sized and read from disk on every request, the
                         .br/.gz twin when Accept-Encoding takes it; nothing cached

TLS on :8081 from the mounted /certs pair: libioxd loads a <dir>/<host>/cert.pem
store, so the entry links a `default` host to /certs/server.crt and server.key.

scripts/validate.sh libioxd: 63 passed, 0 failed (baseline incl. the exhaustive
fragmentation sweep, async, json-tls, 8gbit, static-tls, TLS posture and quality).

The entry's rows in site/data (results, frameworks.json) carry the new name.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
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MDA2AV commented Sep 10, 2026

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/benchmark --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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MDA2AV commented Sep 10, 2026

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/benchmark -f libioxd --save

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👋 Benchmark request received. A collaborator will review and approve the run.

… connection

CI failed the two 100 KB echoes (Content-Length and chunked, 0 bytes back):
the streamed echo sends each piece while the rest of the body is still
arriving, and on the hosted runner the body came in as small completions -
enough to fill the library's 64-slot per-connection queue while the handler
was parked on its first send, which ended the input and reset the peer.

libioxd now pauses the multishot recv at the queue's mark and re-arms it as
the handler drains (the burst already posted is kept in a grown ring), so a
slow consumer is held by the socket's window rather than dropped. The entry
is unchanged; only the pinned commit moves. Validated locally again: 63/63.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
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MDA2AV commented Sep 10, 2026

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CI failed only the two 100 KB echoes (0 bytes back), and it was a library bug rather than an entry one. The streamed echo sends each piece while the rest of the body is still arriving; on the hosted runner the body came in as small completions, enough to fill libioxd's 64-slot per-connection receive queue while the handler was parked on its first send, and the library's policy for a full queue was to end the input and reset the peer. Locally the same body arrives in 2 KB completions and never got near the mark, which is why validation passed here twice. Reproduced with a 4-deep queue: a 100 KB echo died after 16 KB.

Fixed in libioxd (85b61bd): at the mark the multishot recv is paused, the socket's own window holds the peer, and the reader re-arms it as it drains; the burst the kernel had already posted is kept in a grown ring, so nothing delivered is dropped. The library's suites gained a 1 MiB streamed echo (also through a 4-deep queue under buffer starvation). The entry is unchanged; only the pinned commit moves. scripts/validate.sh libioxd on the new pin: 63 passed, 0 failed.

The library change the previous pin pointed at was reverted upstream.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
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Benchmark Results

Framework: libioxd | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 4,249,490 6203.7% 819MiB ~0% ~0%
limited-conn 4096 2,751,235 5674.2% 966MiB ~0% ~0%
json-tls 4096 1,030,269 6680.7% 1.0GiB ~0% ~0%
8gbit 512 49,187 0.9837 148.33us 283.0us 4091.0us 658.8% 653MiB ~0% ~0%
static-tls 1024 681,869 6675.5% 705MiB ~0% ~0%
latency-1m 1024 997,607 0.9976 19.15us 156.0us 2727.0us 2099.2% 649MiB ~0% ~0%
latency-10k 1024 9,981 0.9981 25.37us 100.0us 699.0us 24.8% 479MiB ~0% ~0%
latency-500k-8cpu 1024 496,135 0.9923 15.51us 383872.0us 413056.0us 801.5% 137MiB ~0% ~0%
async 32000 2,820,400 6326.4% 2.1GiB ~0% ~0%
Full log
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 10000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.002,
  "requests": 199634,
  "bytes": 12976210,
  "achieved_rate": 9980.55,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9981,
  "bytes_per_sec": 648735.74,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 32, "mean": 82.1, "stdev": 591.5, "max": 41887,
    "p50": 61, "p75": 82, "p90": 89, "p99": 106, "p99_9": 1513, "p99_99": 33648
  },
  "status_codes": { "1xx": 0, "2xx": 199634, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 28.2% | Mem 646MiB
[info] run 1 wins on score

=== Best: 9981 req/s (CPU: 24.8%, Mem: 479MiB) ===
[info] exact CPU: 5.07 core-seconds | 25.375 us/req
=== Fixed-rate: cpu/req 25.37us | p99 100.0us | p99.9 699.0us | rate_ratio 0.9981 ===
[info] saved results/latency-10k/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9752059,
  "bytes": 633883835,
  "achieved_rate": 487499.86,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9750,
  "bytes_per_sec": 31687491.17,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 3067423,
  "latency_us": {
    "min": 28, "mean": 198158.7, "stdev": 599677.8, "max": 3069951,
    "p50": 169, "p75": 244, "p90": 713984, "p99": 2794496, "p99_9": 3001344, "p99_99": 3040256
  },
  "status_codes": { "1xx": 0, "2xx": 9752059, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "HISTFAAAL7d4nD17D2wab39fz4Dj+sWUlyGGEEKUnRi6na6n041dT+zG2A0hhBBjiDGEEEIIMcYQspBnWZbnZVaaplmapnmzLMuiNEtTz8uiLE3dLHU9y3Vdy7U813Vd13X9uq7r5nWzvHmjNG+aRr/t83ztNejunnue7//v9/k+3+c5xz/z83/jR37E/Ps/cv7PcvHk6OXnf+pH/sH7846/Zx2yu/yh/Cz3jtscWLK+s50NfbRf/vb1v3ktcCf8SvlqnOXWG3Pj7/49t/SL3NNf43b2uJlP3PLNgU9PB27/5sDhHw28/8HArZ+x3HhkOXlu2fgNy+rvWuaPLAfft9z+avl0xbr7c9bF29YbD6wvn1i3/od1f95641esh79qvbJkffab1o+/ZX2+ZZ39fevsnnXxz6xvjq1Pz6xn76xPfmB9+kPr+7+yHs3YZv6d7f7P2d7+rG3rO7a5/2i788i2+ku2G09ss//TdvzStr9sm/sN2+6a7dWabXvTtvV7tk8Htjt/ZPv8B7aFI9vhd23737Pd/55t+3u2Lz+wff1z25Pv2559tC380Lb9yfbyk23xk+3uN7aTz7adz7a3X2yPzmz3f2j78kPblR/abv+lbe6T7cX3bZc/2G78he3xW9v+n9vW39uundi++VPb+z+zvT21PfpD270T2+NT2/af2g7/2Pb1u7bb37Xd+WPbtQPbgz+wbf6u7c2O7dO27eGq7cuabeM3bJ/+l+3Oou3+gu2bX7W9+mXbtee2+Vnbk/9iu/kLtke/YLt217bxs7ajm7aNGduVGdv6X1lnfmh9+APrxvett//Y+vnQevvY+mnberJjXdmyTq9bX/2W9WzFerJg3flV6/QL6+Ks9fFT6/p/tX74Bev9B9bn/8G6/B3r1e9Yt29aH16xbvyMdfeK9fjfWjf/0nLyF5YXnyzPP1iW/o/l9p9bVv/EcnRseXFkuX9qeXxoufsHli+/b5n+HcvNDcuj37a8XLFsLloOFiwfFixrry1Xfs1y9iuWhWeW588sb3/J8vUXLV8fWZb+s+X6dyy7P2/58tOW21ctmz9lufd/B/Z/OHD908DSx4Hb7wa++d7A1T8ZePdHA+++O7D4OwPLvz3w6TcH7i4N7P36wPWFgUe/PHD5vw8s/reB3YcDp/cGbv2ngYW7A9duDtz46YEHMwNXpgeu/JCb+cgdv+XenHF7J9zZIXftD7nj3+MW/zf3eoN7v8p9WeLu/Tr37BV37SX36Tl35Tl3Y5bbecLdesTdecAt3eXO7nD3f45bucHNXueuXuUWr3Afprlv/s3Nyfl/fdh/3j/5V0v/8mb71r943Pim9rX6qDL9z0/+2X7x4z998U9Osncys5l3qcfJo3+89o/2/uGOMRd7Fvv4k7M/+frvflXvqp9/Yk/e/Ikr0vW/8ybyNDIdvv63N//WVmjrx1eC0z8+E3gY2PV/9H30HXnnvXueF55pz133oeu26923b3974durP/bqx04dayOfRjbtD761P3w8/OJbD4cv/+jSj94Zeju0eenqpTeDdy7dHNyyfbFt2a7brtqWrbesr6yfLdetm5Yly8eBs4GHls2B5wP3B+4O3Bi4NfCO2+B2uX3ujHvAPefucze4O1ylM801e+VKI5lq5bNp1YxHY4YcVtMRNRTx+QQ+JIZcPO8O+3whwe31uHxuX8Bnd3uGvcMeh8vuHHLa7U77kM/lduLpsQ9b0Wt3Dzv8PtewdXB4cNDuGHQND9kdDrtr2GtHx5DTOjzosluRXpyDriGH0+kYHsTwMECHhoeGh51DQ0N2O8DsTuvg0LDT4RgaGgSw1zs0BKBhu93hxuXwePzuYafT6XENsVery+H22b0eu9NhhQDBQUhndXncQ5ANsvp9Hrfb7nb4HA5gOFxeT9Drc7g9Hpfd7fZACv+wfcjldNgHBx1OBxRzeK12l9VuDwxDLLcT13DQBQ0h0ZBzyDGMG0jbPV633RHw2IMev9cV9IacXjdQ3W6vM+j2+Z0eD179bqdr2DMc9IETGDo8jrA/6Pb6eJ/P5fX6fXwo7OH9roDT4+Z5R9gbwjB+fp63e5x+r9MbCATsfiHokyRRCjtCISHs9YcA4Av6GHYo4g253SGeF3iPLxD2CK5QKCS6fRjEkBKCIMGArAQlXvS7IyLgvDwfDoW1oOiPRiJBR4T3694g7w+EA2Efr3gjYiDMByJhQRACkqwKkZASEni3yHuDoXCI9/tinkAgKPtCfFgSPBLvEMVIOAQCYtivimGPzx9wRwK8hw9FA94wTMPzsoMXfDxkDvBhOeTRwoLC+4SwkA9EPGpAiISlSNgf9fr9oVAgFpVUFdLwKg8wCUJFw1FFlBQ+KkO0UCSI7rDgVgKqIYguIaIExagY4GWXL+QVJL8ohHSZDwBKlKSgEJTNkCCEArBJMCTJ4UAgLEq+UDQc8spSOBQJCNFgGOYQ/f4oBAlKCoQJaIIc4F0y5BeVtByUYXtRjvCioALU74uEeVCR3KFgBObhFV7kA15XAG6Dc8KYOT4/HwjwjqAkhN0Bt+gXhGhYkkKK6A+JMlygCIIUlfgYLKgZisAneFkO+SNKOOxRpERECIhiOMJLWkgKBdUoHwgLISVihKSwKsiCLBmKmtNlQTQ0WdUTmlIUZVNJRjQpllCEuBpJSdGEGNNTOU1JiqJqlOO6rgtmWhWj0bRoiEJCTRpJrWAmM2kjm0pUUykzbhjZpKlW4plMPp4sp2JaLh1LN7OpSquSKtczlVTRLNYKuWSuGq3X24Vcql7OZDO5cqlYK6ZGiyWzXck3a7mmMVbJ5Jr9SrFdzYyXmrnJ8miz3u20K81ct9Eq1eudev8yVxsf7ZVrY6PN6kS3VxtHLqr2e9WbXHX0BleZ6E9zV7j6Pa4/eo3r3eSucr1Gp/eSm+rNcOPNyujk1ER9BqmsPzExNnoLUKOVycmpy9xtQE5d4aZucBM3uRlustq/xk102pe5mxjq969z5cJYZ4ZrMvpTjUpn/AbXn7rNNa5x9TuAuMxNTkz2rnMNMLjK5cenuUqrDZbtiSts7ArXG7/CTYx32Win22/1Z7ixDthdhrBjM1yv3h7r3ObGLnO90li3M9G4ylXa45P9Vr7RGQPyxAzXaXaZ8qPT3F1utDvenehM3uaqxSvcQ5Bot0HwLjd1nbsGQa5y00jT1zj0TXP3uPFb3C3AXIOGd3Afa87g/TJ3HWpi6DY3fg1vYH0PANdB5SWuGYDeQPcNjE9d455ws2jeIDxI3p9kcFM3uXavNcNMPNXpsTtje5WrXwc30O5O497rjF3lquPXMTp6nZniOmQCs/He1H2uMXEHHO8A7B5Ij02OXQeBh9zoHVj9DohM9Rmhh1h3XnBj9yDDFe4RXh6h6xnus7juoT1Nz9u4RmdIekbkBfeYm8PQfW4Rrbt4MoCbGH/IveYW8LbArUKxW9wrjF7D2z2sc0vcU2DeAvlzO9yHHA8w8pxYPgQ8k+UuKMxT+zKed0gIBvUA8Ne48dvcxDOucw9sWVzd51r9q1BjdHKsMdHpQvdWo5rrtsf7lcmxfK+Wa+Wb9Wa53syXS6aSfQ26D/BjOixdKHcDnG6BK3MaTDfDMSPOcK169TLXLnYqk9XSeFXVEvlkUkvGtUJU1CUpqqqRQEj1yRFZDPlDrnDQH/IiS0b8PrfXHwi4g263z4WcO4yF0e2wY8nBOsUWYzuWGqff53Q73FiVUcw7h4ddHpfT7nM48Rzy2rEwDmOFcg/ZPQGPw+4Luv1DWCTtLp8dFN12rK9erHOOISfI+Z0uB+8OOu2uIZeXEXS6sHj6PT62QLrcfqx5LvuwzwEO1gBg3W633xlwu1wex7DL5fB5XcN2v9OP+sDjHHaBIjYYDrcX8FguHQ6fb8jrxvKNesLpdWBJ9zghpRsDLiasxxXAiw/lAFZriIhhn49VAZ7QsNsehFzuQXRgQR3yQ5phB6s5UI34Ag4/+OBt2EuMh0BwyMWs5Pc6AjCNxzHoHILYPjvKhyFgYLl3BRw+D2PiGva5h/2oeDx+uxO6OBxeh8vpHva63I4ht5et7NDT4fV6A0DwgJN/GKIxSgEHlPG6fH4XTO7wOzwBoDnckIkVUMFh5+BwwIdCxetyYfGHZ2FFD+ztcQYcnmEHnOhzQlOqcmAjz3DAbQdDj9cJjszXsLcrYB8Ghs+PksPucwUgCZwCS4MSYsARRMHjcrl8XtgS4B7PIOztGArah9zuYdRaHlQJKIvgc6/d7Rz2hV1eKA4Jgz6P0+rxoj5z2XmfF28uz7Dfw0zjhXMD9oAXDkA1E/SgXAoEPcAfZiUiFPahJnLDvogjB0qsIVgFhoMGkCAYGHK6PX5HCPrACwgLeBVOhHMgiGsoBAvZUV45nKACl0Iq+MUHDfy4gMtcPAhxQcPnsMPT4IS2OwArO70eXxDGhiAOl8PpRyWG8hJG9DiD8LLPCSJwBMo8SANUu3fI5YO7vB7EXWCYzQ6Pk5nDy4gC1c9mFOTyet0unwf8PayEQ2yzIo7hoSq0e1gsg7kLYe5jEwHqQiInm1sIAQ+CC/0og1Eki17USZGQEBACoWAQpZonhMBGLcHmdwSFBKoxIRDxeXlNQk0lsGJHxNIfCoeDEa+OSo0XA1JIFHlfwBMSwyj+PL4Iz54BAdUYH5JQQyFDhCXUamCjg6TiCQb5gBFUJE8kLAaD3iDKPPyUgF9GXSEEAtGQFg4qfo/q9QlBPhgMCBLKPxSaqA5VCXRckFr0KT5eCoaDvBDyib4IRAupDiHk8gRRxIRUlF3+EMTzhnkehakQREUa9odMldWhvoDoR20VEjwCElcAkeTnw0EVFWeA94d8YT4i8BpkDQdCfklw+cQgz/vAO4AyOCjB/CiovJBBlMHcj+SnRfwS7+VR4fqZbSIBP1QKikwzj4BCPIQC0Y8SLyz5UC/6AyGBFYFhv+APQDKvz49CGOp4/UHBF/SLstepoLgNiyEpeF5Fi0GfV2CWRgXIh/xEMRT18gEU0L6AIMDGEWB7XEKYWTQUEbSI2x+M+GE0dzAM2VArR0BV8ARDbC/Fy1LA45FCqM4hjj8UQeEO6wPW7ZMlZJCgn/eFAz4YAfL6eVHipQgCOhCGCUIRidk94ArAqN4QL4RDYsAF47BqVAhGgh7NH1BgGSUAKyO8ApIQZHEQ8vPwFOiFIZNPEXwhAETCKEE9WEkEN2TxoVZnageRRzxQCmU9H3ELYU8AdXDQpwVk2S8q2C+53RFXAIW0gCI+4vLA8n4oEeShF+9FFQ6H8x4NBa+b90WlgAxJfNg98hERGQLFdzgQkUOIy6DiDPMIGmxENLsIZ7p8YQSdBzsIElMORpxyAGHtl+GMABwU8EhBjyhEfY5IgMnuCyLiZSPijyDkENHwYlAMOcMIBTBAOS8rIfARfNGQjFcYIRDEXiaiy3hh+yl/JBhxR0Mehfd7QgGPLAUVbHJ5nxhxywovSEEJogd1RCcU9jkEnzcQjqiIhaACamLWG/byiuj1REA6BCjYCrtk7JpEQUaoqAg9v6BiV4BdQMgV9KkwuycQKSpGJpk145lyKpPN6WXTzBimmTZzsVglHi/HE6oeN5J6NZEvxkqJpFnMpXOJjJaI10oZLZvMyqmiIufjWV3XUplEJlHIZc28GcvprXy6EDczxVQqkYxmzVRCzyYS0WgxUynE0pmcXjRT5VhMjevljFY0Y6m0mSqgK6Oli/F8oaRnkmYyXkzF48lUWk/mlGqsWjDSiahpKgWzaKTyaT0VT5ZShaqeN+NmIp0s57IJLZ8qllPxdLKY1OM5LVbLJROpWAGEMvlEMhNPx1LZSr4az0VLqWImq2pZs6wbRt6Ixyv5XKKYrydSmVjJTJhGJVmJJVLJQiEdTySFnBkvRItasZvK54yUkjeTsWw8WcjVARrLFvWUliwWEmY2pqVKjWwhp0PlZDIZz2XTZgYW1so5wzRimVxWLSbVqq63K209lTRhnEwilcjkUqlaPQMRcrlkqmKWEuWEno8lcpkMn81ksvm0Am2TmVwlVagk46lsOV40zUQib5TNdNosmAVUZ8V8NqekzExeLyUS8VSyKFfbMTFv1lPxXCybylXy2XwxnklK4JjJZpOZVD1h5htpPZbKJJOwXMKIpgpM7HI8m9GzqVQll0un09VY3KiXiomqaWjpplFIm+lKuhYtJLOlRDtdLOpKoZCR47FCJWFkE9kM+BSTEMswk1mlXknk6tGGKSfMZjGRiSbMYqcdL2b1fBqnO8lyspasF+LgJeujsUKaxRnYVuVmo5rINvQcwqKUyuYSqWIqlyrkzXwyY1bKSfi4nC3U8qCUwy+eKRaTpYyeSHUzmVStkjRzJXiq3aoqxXqujE1lrp4pxaN6ppAqFovlarpQTxcrebNYKDZzlZqeLuaq1UwpmcnnM9VcGfvLTNkYLzWapUrNKOdLlW4hm6/UKrlSKV1q56o10C+WyoVap9golrL5aq1Q6BQyhXqvmE/WKmahnpvhas1CMVVKw0QNUCiWWsXsVCfZrbdHzXamV6ujYi/Wi4VSu9Rsmc1CvoPNanE0V+u2R+sT5bF2s5Nvl8rNQqfTa0x0u+l6q9KrdfvlVr/VYpV6r1Jtt6eao+V+v9euFW9yhXpzqlOd7Fxj+816K3eDG63WrnLY+V3nxm9ytXK32Ozc4nrNKxw2iZWp3mhnarRWvcU1xyqlGa6Oze4htiDH3Ap3gNYHbgv3d9x7bpvb5D5yn9DewtsL9G7g6O4tet+gdcx9RfsA255XgGH9H3CtcTMDp9wethjruL8D1MzAOt6OgHECCqfA/gCsNWC9Q+8O9w3eFgB3iGsd75uQ4wtw32LLtE3bqs947uPaQXuTW8ZzGZurBVDdRJv95gG/DQ4LtLM8gqyviSbbTr0mbuy3CYhl9L3ELmoe2LvAfIIt1ix+bIO2ic3RS2zZ2Mgd4L/C6Ats++6g/yaez/F+m/pmMXYbfWybO4vxp8BnW73zvfBNbLTm0T+H3pvYXbEd8yLadwmfbQ/vMMewk4FpvDzE6y2u1Vnk+gyabcqu0db3Fq4ruHfvc5O06buHq8lOIbADnmrepo3xFNtHd6bGmv0+tnI4a4Cr73BTE70u2ziXxuu3uQ5OCa5xncYkjjpucmzP2MV5xDSXArVRthEvIZ4B1GL7wzFsm+tNHEg8RgR1xyd7U63xerc1NYbdcLvLOPTZrp3tyMcmR3GUUB8da06UJiuXcVwxfpXrFxrTXB+A7WajPcN1W5e5fL/RHG03y+3CaLVRmxxvZdp5TAtMg0IvX2iPVmpmpd5opJK5OjJIL1cumNVyM5vNZzNGsWqaJUwQZBbk8KKJKVroJhN500hW0zEtkYglcH6UzMYL6WSurCuZSrJkxM14NiFVyljE8umoGkuXTBwupZRUMlVK6VoiJSajSUWJJXGwpEl6PpHSdCMumFFNlbKGIZuyHOflOE61orGYHNOUjKQkVGDGZEk2DUWXlUhc1KN8NKJEE4qOU7RoQsJhWgRHg7xkSqosKGpY1jMqqiU0I4oaQ5UVjmiiHFIMXlcFFSWZpKK0EkRNikREVUNxg4PQUESM+oJhTeJ9EZwzBmVWPIdRjYQEb4CdQvJRKSSjbEJBybNShvd6Vd4tBFi5JrpV7JlQZaEUd3vCgPHLKMhxzOuNSCgJcLgYcaK8wQF6RPC5qeaUPNgzung/CkBs4z0hHPL5cK7rCYTdTkHGibU35PdJogNU2V4adZmP94exZcDRMepijxNn9C6cFIc93ogXZ8Go0MIACwQDOKWP2FG0A8znwcGkx4cqHxt6FLTAg5giO2z2U50eDqM8ieAYwRMIutyuCM4Jgqh6vN4Qtg1BjxsHw9h8gYEfR+Ze3m93R8ASe0oXP+wOR+zY9/t8PjqwdvlxBsqLDr+HyvWAz43zXjR47KV8foUPeJy8j0GFmSYeVzRmJnXZiEbFlJZWdUOIpiQpKSuyLGppMaaqYkJQ4wlJ1jLpTEyBcxUtjBomriCIDF4Wolk1mozEUzIfjcYUtZTjI4YuqGktmooqqmHE0GvkZSOmmJmYKpoZRdXMeCIhx0Uzm0fhlTTiWixaSsZy7ONHQjHVeDaezpimruoZndVl2biSLMTiKdNspFNxzcjqhZRWSkdMU0imVMmMx+J6QtXSsignokYqHcFKrqgJQ5eLStwAuqxrKiqGbELHwq9ilU2aWOBRVKB60/WKqRtZJRNN6UmslMmUFNNL6Uw1HS+ljCxEySXj9UrOUDOpWMasFbFgG7VEOmZiPFHT0nEtrhoxM4WKLBpVYoaRSOm6qhhGPJ2K8fiYo2qoO6K6oRlRIy0nDEkRDQNzLorFWVFVNWYaUV2K6wbeZDmmwyBSIphMmFExasjJuAJToyumyIasJ1XVkNHEbE0rWgymxnhclQxD1TWcWksmHmpC000dszdipKV0QovqyagWiccSuhnV1Zgay6qxMJpGAqWcqWlxnHBBingcZ9lGQjDURDxuokwDz2g+GheQPjQtkYyLsbimKwbLHlEtG1ejKUNVlHTCSJnRZEKRITfKSEMR46aajuejYjwZziRjYRXVXkxOIkCQTlLRlBDLiJqsJMETp2yKHhPSqpHMCPGoZmpGMqZlNVjUUOS0hpIJJbME68ZifALMdCUey+i6JKcMRgVSp2OSYCaVYNpQ40lZhwckPQYNYjoO4NNqIm1q0XhaiuAwL5XPRlORVFLUCnAmXJRVdDOTULM5hH4mVcpGszElGU8a2WIxk4ibYsGMocLLgUw8ZyTFWEEq52KZeMaIxeOqZmQUBTV7XJfh0Shv5KWMISpiIqYWJQgWjpm6zkwFwysol1MZOFxLyikdMwkbiLhkxgQwUHQN8yiWRAKOmKqhaIamaYoomtg4qbwO74rYTmE0pkT8pl+Vg5oeiUiyW1CDYRVBp0iyKASiAj6HRNWQwjJqJBHGFyO2lw6H1CAOLt04Hwhj0xnF3tGLYwAcaeAWjFaMcgITIw+P60U1noqruUwimkBa0KKqpiYxJU1FTUZljVcSBua+nMzAoTK+fJhJWVYkzYxKSlSPJkIaQsvAdxE9igkQwyckLRrVIHcKEhkxTUSsqnpEw2xBKCckfCKJxkQTTOAfJarIUk6J4QuJntC1qJyLJDRN1iU9jXVIM2MRNSMgtCJmDFNAUbGzkBJqNK7KWpzH3FERtgqq65AhpQRDjIN7IpRIYEbICVXF/EqICUVFf0xUIb0BW8YlA3OCTbKUpCGQRTURExU9GtchniGpUSEhR01dSEZUU1GMuCxKzJdalGUdGYuiIUlGqABuuqZjAgEX6mORi6UVZMO0BoOAlSLpCcUQMWEj8SQWQ02LgbQhJg2BR8gm+BjQRA0fkAwRBozHRHBh35Riugy9UiJmkyyDSTqCnkhS0lMRGXEvRnUNFkG4RAzMO1mOQuhEIBmOq8wv0C8Sj6qYKLA/zI78o8JNyDcKjIpZHJXiSgSMzLCIRKBHJQGJQdUCmqEn8VktbMJuYcSiLmqQORpCqSHKYQSmDrsxdhEtgZmOkJOgELglBEw4QwnLahSrhIjsENaloGpoEUxQNS1ICma6LEekRFTHtzyGhdyID426JsH5moQcJ8pxQY3hc1xYSEAFVVD0uIjsFlU0WdQTMiyKnBRFxMVjgoQMp+ps9iBDKJrOBFM1GcgAlFIR0YBchiRnYUhejUUx4QQV+QGfEzNRzY9g1aJBHemMj2BXjGMvA2ko7Enk4LNQXNKTmFIJSIyQTkqCgJQUQAQZYCxjnYpKEvJsTIRXYJKoaAoSKpuEhooHXwmNWEiOijFNFXgzK4cjsp6X/YoimHqYjyumxkOUuIQpIceEiIiAxGcGBdrB2ImwjDiVUG7FJBU5PSsGEZ66LOuIQvYpAquAgM+WhoKY0nSJGUCDHVClSUoSVsaqISoxaAoz6ZggMSkaA3I4gSAQRB0rZhhxGkqrWig61qh26r3yWK3VbHdrnU6r2W8X+716p9FvN7u90eI01ynhs1mzfJmrF65ytfpov4PCGq+N6sRovtsZ7TZ7lfFWbbxVmuZqtV6j1hordbvl8dFqv1OZ6DWbvXav08S3w063W613+rVur93qNsYaletcerRT77RRNFc7Y8XWVLU9XoQo3crYeHayPtFoXOGqqKGLvbHKRBsUpir98TK+9DW6/UZ3tNkZ7dV7jclmc6I82St2O9Xy2ERhYjLdH82PN9rdTq/XaE40Jsv1qQratdFufbI+1gRKt9WptyYrndHqGIQsTLQb9YlKe6zUGSt0JiqTKPmbvVazA8uARL+Gb5elqU55aiwHa2SvcI3GZKPWb3SwhwRgu9pr18fGKp0arNdrtDr9EpRuj7bbDXS1y71us1PvtqtT5Tb6G6PNZmWaK1Ynxgu1yUalMQqMTqM9Xq9N1LCPKDWmap3JZme8OgEReqNwSLeFbUZxbLzQniq1R6sttlnuwhqjtW6rAev1O+XxVr3XL491SlPlfq0OPzSm6q0xpiVYdcfwTbTaAaHyNPYkvWq/Ve9Wu41erdVqd+rtZr0xVmvWx+DC+lirPNZotmv9bqM5Xq1PdquT1Vav2W1Vx8rY0ZRrk93GRBkubDVbtU6z3anVJpqNXrsBU/ercGSpw/zSatfGmo2pKuAmsH+vT9Q7l7lmc6yXwUdNyNfqNKYqVXzabfY6/WYHXmg2u1Ptytg0vvhO1BpjnVa/y4SH6uiiZw0R2OqPV0Z7LThxksk+0WxPVnsTqf5kozlVb/QRVOOdSn+0Bsc1oSCsPtlpwEX9ylgbQtQ6U7XueK9eG2shsJvlyX5lFMJWJzq1iXZ9dLQ4OVGCJ1qV8dHKRK3ZZJr0qk3IkWuPwWul6ngNMXINpxijo4Avd3ulyUZvjGlUmmDmbTWKM1yjOZa/wrUKo/1Sv1/pgglojDYny62pdL9fb2AO4PM77AdXttpdfJ+fLHXh9k6jNVpvwxn1sU6j2h2t9Oql0V4FJyPVqTy+1lfG2+1WEwGJoKiOIvh61XavMtWswtYIaoRtp1Nr98r9YrvRro5X8bkf3/fbPRBJT9Xr9bHKaAMy1jB5a9WpWnmi0mBHIE2EUANTstKvdlrV3lgNIdnAUU253ZxAiNRbvVa1Ux7bxDnEDk4S9nFGcUqnDh/wtoyTjBWcP6xfjB3jzGEfZybL9L6F84gFtE7QZicsRzg72Mdzg05INuncYh2wJ+jfIKwjwO3QH0otAuKI6C6B6hre1tH6CBjWv0q4u6BxiLFVSPQa47voXUJ7C601YB7gbQftA1BYAuUzOrPZBoUd+lOsPeJ2gN82nYjs4H0Nb/vgsIVRxnmDoHcI5hTjuzR2js/OZFbRYjqc4r5JMrH3Q9zPSKcjOjtip0sHRJmdBR2QjIekxwGg34DeFnjtYpTpfEAnPozbPuHu4bmGEWa/bTqJ2iLrMvm3CHYTuKfUd0CUN+jkahsYuyT/IcnMTpqWwP8YUMx2B+g7opOoE8AeE6VzKdm1TidWK3SytX9BY5dsfEDSHJB+e3S+dW7LPZJ1m2AXgb1NEAf0PKIzNSbDHkXQuf47ZJlNSHtIll2/sPUmIN5C1kPiuIW3VaK6S3Zimm3Basw6Z8DZJg8zmc/13CELsfflC9+yGP1AEXfu2T1ovAhoxuOA+LJTvR2KDWaZfYrlRZz9zZOV1sl/qzS6RVbbJTrsNHCD3tbQPiWInQtvbhMdhr1HcXp84d13FxIsoG+PfMI8sQL8Q4JdBQSjvk+09kiXXZpPp0R7l04cl6H5G+JwSBQOiRKz6SZaZ6CyRfG+eREDe2TzLdDeIXvtEf1T2GGD7MB8+O4iPncuvMzuhzSXzyN172JOHZN0Gxc02Nw6wn2VbPuGoLeJ9jJF/zHJwqKIxSU7QWWxuk8RvoHz00XS6wQYGxcxs3dB9ZC8sERePY/BDYqZNYqvHbLjFj33aVbtE70DjH0FHxZDRyQ/yxrbf22NTaJ7jnNKkXRI2McUKywa1mCJk7+eH8wvDPuYvMxOctdxcvuaaK9RROyTHdg57TvKCqcEs0NarJH9z2VlMfwOft8lG69SdDDtl4jDKnhs0nnveRyymXII2ZnuXzDC/LlPUBtE8ZQyzT5Zee8i6g8g11tQZ3cWNW+I0nk+O8TbHmEybmugs0uUtsnG5/45pGjYg/3mSe998vUJxe3ZRdyc5+V9orpPPlu7iASWwacH2Hx8T5FyfDHb3iO6T8j6B2TBDZo3K6T5eSbYJOobJPXJRY48n/e7NPM2QWOVKJ7bmcXqxkXe2gHuHnlz88IbxxdzlEm2S7Npk3x7jHPqdxc5cpfi8phiaoeiYpNywHmOWqVZtEsz/+giAg9p1TqAjoc067dpXdu9yB67JOUWxfQORc42tNm+mCHnI+cZbJ+igEG/vcjqu5RNTxEZpxQfp8DYp5x+dmHbQ7L0EUXrGXHdoTjdp0hisbBH42f0feA9zdIPpNEORcc+ZcvtCzufkG3f0Dw/prhhHJg/TsnK+xc2PySfnpIOi5ZblpeWRcsDy7LlpmXN8shyD+3XuBYts5ZXeK7gPmvZsjxEawkQS5bHeHuO8XnCfIrfguUZfs8tc+iZBeQTwL62XLNsUP8Kel7jNwvMVVxPMf4c2HctL/Cbw+8F+uYt90H9IeR4ZbkN6JfgPW+5g9HXGHkGye5YdiDjLHqvAOoxJF3G9RS07gGGUVoGzDLarwA/D/xX4HQL4w8g9RwovEY/04bJ+pwoM75zoL8NGi+BuwyNXoH2CsbvkvRPINNTei5g5BHglzHyCn3nXP6/5nPQ7RlgF8kGc2STWZLuGWR7eaH1LLCfEtcn4L5CFF4AZwntR7ArswXDWIA865B7FRivSaJXoP0Q9zu45oC9iVFm3zXywjJJskrt+6D2Cq3HpOsqWZ9px/g/pucLsulrjNzFnfF8TFAvLTfIbrNkUWbzh6D1BBDrZJeH4DgLSR+DEpNiDWNM/gV6viT/L1D83CfZHwObee0h4Jn+W0R5nax4i7i+Ipsw694H3H1oxXgxiRh9xvs26DDbP8LoS9xXyW8sih6TXuf+fEkasqhkvF6QhLOk23PywvyF1s9A/SXk3gDkLkXpHHy/RF5dpwh/DQ6L5L0d8scG8JaIw/mMYB5jGmygvYTeFci1TpHzmrC3ic8WeG5Sa5lifZ1oLpIPVkiWF+hlXM4hti94nsffHnqWiCLrWYEks5Z9PDcueOyRxVfQtwxJGPcF/JYh+XM814nqU2A9pthhEcKezDaPMc78fJc8+IjieA7UZylK2Qx6hp6XZP958u0r8uw87Mt4sNm9Tjj3CPcJUdsj+6yA0xwgN8hes4BbI/lekMXx3yYw9hwYr4jXY0CwWH8I3V+RNVZwMY+uoucJ8NYu8sMWYohJMgu6+J8v4LoEm7+gGcMszGzF9H5Js2UBbWa5edLwKcXgU+j+mObnPFrP0HMX0qyQZ16QpCzPLZNn1slP5/adI5/PU4ZjeI8pppZA6QHN2Fck0Su0Fin2zm21TrPhKfU9Jx5PgPmC4uhcmg2auyyrbYHeAkUfo7pCnluE5s9I+xXKTi9pZjE5FynfPr/Il+cZaR54bAbuEP1FipsV0N+mHMC88hK8XpL266C+CXwW1/sUoczKi2QFxusRxcQSfPKC+lj0PyfqLH+9AMeXBP2K7PHiQqdXFDFzFGXn2X4WWI8oT65QRDzDLF6BF+9TzF8jX59rMEf+WgAkk+kpZdpl5IZnFFuPKFstUrzMU2ZlM/8AlDYxPkv2n4WMD6H9E+DNUf/5bGXZfoM4Ll9YjtGZu/A4o3+PIohFJIuSW+Tz+xfrwj3S7Qlpcp7r5tF+QKvCHN3v4/kQ1wPCnYOG92iNeYoWi/rHF9F9j2x7+2JVeEL2vUE0blGkPKFZeT4H71OmZ3mZyfeQVjA2+oSi+RFRZavSXcryc+SxFVoX1mnNYLH04iLHLFGkPr/IDq9pBsyTvefQekZzed7ycXBj8MPg8eDR4Ongu8FPgzOXpi99GfwyuDx4Mjh96RN6v2LsDZ6ng9voOUT7ePBwcGtwb3BzcB+tE7RW0Psev0OCegv8bbzduHSG9/fgcDR4hr6twV1AHADrPXhevnTt0gw4vKX3T+jZw5PJsI++D2h/Bac3+K2D05VLR+g9G1wDhX30MFpH4LIDehvgv0bPA/Qc4bkBOqck9x747gJ/HbT20fcJfdtoM43fYeQLnoek2TKuM4wegfNbkvAb4B2BJrsOQWmH5H8DGjsYZ5ptAuaYtDsbfI3WNsY/XOizP/gZ71/A5T31v7jQ/gS/I1DbHnyJkV1YfB1v70DrLX7viNoOaK0DfwOtfdJ3b3AVeKyX2fw92f4U9z3Seh0W2CVNltC3jXcm5ztw3wPOR+Ayfx1AhmVIvEYWeU++2wHPI7LqDjC+kKynwNjFdUr+PED7GBDfQLOvwNtA3y5FwQ7JsoKLSbNL1t9Fi2HsUA9r75EXWestWe0d6XNCVnqL1nvy8VvgbuH3hvz4Fdcb4vNh8OqlbchyCCrMSsuwzgGon6G9duHjr8Bm0lxGjHwEjUOCOYQPDvD2ltpnFFO7FB3vKOY/offt4L1Lx6TFF+K2CW7H5IM98iTjwyy8jucuacX4nJC8exQXu+THd4BgkXhA1mbjm4gmRnmbrHNEMX0MKht4+wwsJsEm4M59cEBe3iG/7gy+Qt8S6H8AzjLFMOPzmWJwe3AR1F6RNfYoGrZAaxV4B2Q5JtMb4nlAv7PBBVDdIe3YjP0IjEXgHJPk05cYlbdEnc0+Jj27b5C2jNrWxf2AeK2RX7fA7xXar2nms/Y6QWzQnGK2OyHNz+1xCJp7eD+32i5pw2bcMnBOCe8rpDyCLO8I5iPNyXeYF1uQ5YhmzR7Nsl2S64z8xqx/DO5b0IllnzXKDWt438fYGuh/wJ3xXaXcdUjzmmWddbTOZTmf12z0BHSZzEc0B1meeUPx+4k8twkazHPMQ9tkgwPKl1s0+gGtD2TzQ+h0DHszOCbVPs3ITWAwT28A/inGt0iffcB9pMhYADbz4D283YVv2Hx6DWlWSOIDygGboLw6OA/YTfy2CObcugc0azboOqb4OCbLryIqv1B+YLG0Svrvk1U+kJdZ3j0kadbxe0mZ42DwOVE9z6xvwWWb5vdrknebpJjDtUY5hmVa5rVtovOVrMqil+XnY8qtx+STJTxPaa6/Qd978tUn6jvPrh+AwXLgIfmT6bRKuWSPuBwBdpUy2uaFP5nOi5QRWT44IXn3LtYM5j82P1nM7YDqCSBYRvlI2ewb0HoPq3ylvMgk+ngh91ua358pW78F1AmNsrXoK8l+gvFPlB1PAMXyJHv7Br+PFD3baLGxDxSXH6jNMsrMpbe0Ln5G+/NF1DEK78gTLBu+Jc8cUrwdUzweY637SD46JYkuX2JysDy9SbP4lOgcE403FKMfaSadAfozQbC42ae5wWbue8rtjNIbWlNZXN8ZvE6+fDH4YOTeyMLI+5G9kYORdyNHIxsjKyPLI6sjhyPH+E/SH0bWR2bxfm/k9cidkacjL0aujtwYuYn7zMj9kbsjD0aejSxhdA6thZHNkV3AHwD24chjwD8C7p2RLfQ9G3mJ5wu05tA3N3IFtB6O7I9sg98sWt/Y50BtFm9PAbMOOqe49iHDxsgOnpcdu5BlEb8zQCyB0xqoLIHmIjitEf8rI9fRfghpltC6CirLJP1TUJoFzCq0WwP+CXR7D4rXHEcj88BgXBdHngP2JX7zGH8NCkzr5ZEn6H0IPeZIn/vgwmywBLk30bsDXe+hh70tA2sFfXcAPwvID9CI2W0HdlkeeQXIddy3AfMYrafg9xyQB+C3Csx5XM8h55OR27DvIvg8BJen+F2D7W6RdR/R8zquR6CwAZ5HkGWPPPAalA6g1wdYbBp6HY58HnkLqVcgywp+34xcd7yBZtuQZRMyfQNea6DyGm9v8TsG/VeQYJOstI9rGXRXALWJsRNgMFhmpyXShNlqaYRRZF46gUTPgT9/QfU+7kuAWADGPHR4DSk/47c+8pFs9Bo2OMH4Iny+jvY9ipWvdma9FfStQK8HwJyDNIt0HYDSMrRawNg27rskB+tjPF6C3+eRO45pxxXHPtqvIfs25FmC7AdovcV9mfg+w30FONuguoS+ObSZfPeA9QxcX2JkDRSXqPcKxQOLtnPL3Qf8POjO4e0U0mzAAuvU9xTt52Tte9DnBvS4hVlyF168CunnL+YO8+YLRMYb+y374rfufevmt+7iPvetR8P7l3ZsL6x7lpWBZwNfuWu43uPH/i55EX8Liz96Hh/rdHWn/f8B0dmnbw=="
}
[info] CPU 817.0% | Mem 135MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9789896,
  "bytes": 636343240,
  "achieved_rate": 489386.68,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9788,
  "bytes_per_sec": 31810134.41,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 1868993,
  "latency_us": {
    "min": 27, "mean": 184472.1, "stdev": 382469.8, "max": 1871871,
    "p50": 166, "p75": 95136, "p90": 712448, "p99": 1699328, "p99_9": 1826304, "p99_99": 1842688
  },
  "status_codes": { "1xx": 0, "2xx": 9789896, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 806.4% | Mem 137MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9924680,
  "bytes": 645104200,
  "achieved_rate": 496134.85,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9923,
  "bytes_per_sec": 32248765.38,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 445639,
  "latency_us": {
    "min": 29, "mean": 59971.6, "stdev": 96026.0, "max": 447743,
    "p50": 213, "p75": 101408, "p90": 212928, "p99": 383872, "p99_9": 413056, "p99_99": 433792
  },
  "status_codes": { "1xx": 0, "2xx": 9924680, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 801.5% | Mem 137MiB
[info] run 3 wins on score

=== Best: 496135 req/s (CPU: 801.5%, Mem: 137MiB) ===
[info] exact CPU: 153.97 core-seconds | 15.514 us/req
=== Fixed-rate: cpu/req 15.51us | p99 383872.0us | p99.9 413056.0us | rate_ratio 0.9923 ===
[info] saved results/latency-500k-8cpu/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.77ms   11.10ms   11.90ms   12.80ms   396.80ms

  26990795 requests in 10.00s, 26958795 responses
  Throughput: 2.70M req/s
  Bandwidth:  169.65MB/s
  Status codes: 2xx=26958795, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 26958795 / 26958795 responses (100.0%)
[info] CPU 5816.7% | Mem 2.1GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.27ms   11.10ms   11.80ms   12.50ms   13.20ms

  28236003 requests in 10.00s, 28204003 responses
  Throughput: 2.82M req/s
  Bandwidth:  177.49MB/s
  Status codes: 2xx=28204003, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 28204003 / 28204003 responses (100.0%)
[info] CPU 6326.4% | Mem 2.1GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.29ms   11.10ms   11.90ms   12.50ms   13.30ms

  28172075 requests in 10.00s, 28140075 responses
  Throughput: 2.81M req/s
  Bandwidth:  177.08MB/s
  Status codes: 2xx=28140075, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 28140075 / 28140075 responses (100.0%)
[info] CPU 6323.0% | Mem 2.1GiB

=== Best: 2820400 req/s (CPU: 6326.4%, Mem: 2.1GiB) ===
[info] input BW: 129.11MB/s (avg template: 48 bytes)
[info] saved results/async/32000/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/libioxd.json - 9 new, 9 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

…SON writer

16 KB receive buffers, a 16 KB slab and a ring of 8192 (the fastest of what
was measured against ioxide and edixoi), and a JSON writer that stores at
the slab's tail instead of copying through the engine per fragment. Same
box, same cores: json-tls 336k -> 607k rps, static-tls 353k -> 462k, the
10 KB TLS echo 359k -> 449k. The entry is unchanged; only the pin moves.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
@MDA2AV

MDA2AV commented Sep 10, 2026

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/benchmark -f libioxd --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: libioxd | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 4,248,491 6196.2% 626MiB ~0% ~0%
limited-conn 4096 2,739,825 5666.9% 794MiB ~0% ~0%
json-tls 4096 1,514,575 6518.0% 864MiB ~0% ~0%
8gbit 512 49,340 0.9868 133.59us 244.0us 4874.0us 656.5% 959MiB ~0% ~0%
static-tls 1024 791,725 6692.5% 484MiB ~0% ~0%
latency-1m 1024 998,045 0.9980 19.05us 157.0us 4622.0us 2086.7% 427MiB ~0% ~0%
latency-10k 1024 9,982 0.9982 24.50us 90.0us 755.0us 24.1% 414MiB ~0% ~0%
latency-500k-8cpu 1024 497,802 0.9956 15.55us 152896.0us 176832.0us 814.7% 118MiB ~0% ~0%
async 32000 2,804,887 6337.6% 2.1GiB ~0% ~0%
Full log
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 10000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.002,
  "requests": 199686,
  "bytes": 12979590,
  "achieved_rate": 9983.15,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9983,
  "bytes_per_sec": 648904.70,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 33, "mean": 77.3, "stdev": 382.6, "max": 24911,
    "p50": 61, "p75": 82, "p90": 89, "p99": 110, "p99_9": 1016, "p99_99": 18040
  },
  "status_codes": { "1xx": 0, "2xx": 199686, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 28.5% | Mem 431MiB
[info] run 1 wins on score

=== Best: 9982 req/s (CPU: 24.1%, Mem: 414MiB) ===
[info] exact CPU: 4.89 core-seconds | 24.505 us/req
=== Fixed-rate: cpu/req 24.50us | p99 90.0us | p99.9 755.0us | rate_ratio 0.9982 ===
[info] saved results/latency-10k/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9830327,
  "bytes": 638971255,
  "achieved_rate": 491415.01,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9828,
  "bytes_per_sec": 31941975.33,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 1396613,
  "latency_us": {
    "min": 27, "mean": 144334.9, "stdev": 298064.1, "max": 1399807,
    "p50": 171, "p75": 74400, "p90": 623360, "p99": 1252864, "p99_9": 1345024, "p99_99": 1382912
  },
  "status_codes": { "1xx": 0, "2xx": 9830327, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 815.7% | Mem 115MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9630099,
  "bytes": 625956435,
  "achieved_rate": 481397.32,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9628,
  "bytes_per_sec": 31290825.54,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 3542183,
  "latency_us": {
    "min": 26, "mean": 306760.5, "stdev": 707873.6, "max": 3545087,
    "p50": 150, "p75": 107808, "p90": 1064448, "p99": 3238912, "p99_9": 3478528, "p99_99": 3509248
  },
  "status_codes": { "1xx": 0, "2xx": 9630099, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 804.7% | Mem 117MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9957895,
  "bytes": 647263175,
  "achieved_rate": 497802.08,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9956,
  "bytes_per_sec": 32357135.01,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 202830,
  "latency_us": {
    "min": 29, "mean": 22487.2, "stdev": 42225.0, "max": 204927,
    "p50": 183, "p75": 20376, "p90": 98784, "p99": 152896, "p99_9": 176832, "p99_99": 200000
  },
  "status_codes": { "1xx": 0, "2xx": 9957895, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 814.7% | Mem 118MiB
[info] run 3 wins on score

=== Best: 497802 req/s (CPU: 814.7%, Mem: 118MiB) ===
[info] exact CPU: 154.88 core-seconds | 15.553 us/req
=== Fixed-rate: cpu/req 15.55us | p99 152896.0us | p99.9 176832.0us | rate_ratio 0.9956 ===
[info] saved results/latency-500k-8cpu/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.81ms   11.20ms   12.00ms   12.80ms   404.40ms

  26906006 requests in 10.00s, 26874006 responses
  Throughput: 2.69M req/s
  Bandwidth:  169.12MB/s
  Status codes: 2xx=26874006, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 26874006 / 26874006 responses (100.0%)
[info] CPU 5803.5% | Mem 2.1GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.35ms   11.20ms   12.00ms   12.60ms   13.50ms

  28047882 requests in 10.00s, 28015882 responses
  Throughput: 2.80M req/s
  Bandwidth:  176.30MB/s
  Status codes: 2xx=28015882, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 28015882 / 28015882 responses (100.0%)
[info] CPU 6348.9% | Mem 2.1GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.34ms   11.20ms   12.00ms   12.50ms   13.30ms

  28080877 requests in 10.00s, 28048877 responses
  Throughput: 2.80M req/s
  Bandwidth:  176.51MB/s
  Status codes: 2xx=28048877, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 28048877 / 28048877 responses (100.0%)
[info] CPU 6337.6% | Mem 2.1GiB

=== Best: 2804887 req/s (CPU: 6337.6%, Mem: 2.1GiB) ===
[info] input BW: 128.40MB/s (avg template: 48 bytes)
[info] saved results/async/32000/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/libioxd.json - 9 new, 9 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

The static-tls handler is one call, ioxd_static_serve: the library keeps what
a worker served in memory, checks the file on disk (inode, size, modification
time) before serving it again, picks the .br or .gz twin by Accept-Encoding's
q-values, and sends a body larger than the reply slab from where it is, in one
message behind the head. The hand-rolled type table, the Accept-Encoding
parser and the open/fstat/read loop are gone with it; the query parameter is
ioxd_req_param. libioxd pinned at 2e7b12b, which brings the module, the
slice search and the gather send.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
@MDA2AV

MDA2AV commented Sep 10, 2026

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/benchmark -f libioxd --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: libioxd | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 4,256,286 6189.1% 625MiB ~0% ~0%
limited-conn 4096 2,756,941 5689.0% 801MiB ~0% ~0%
json-tls 4096 1,581,090 6492.8% 883MiB ~0% ~0%
8gbit 512 49,308 0.9862 131.51us 245.0us 8596.0us 637.8% 960MiB ~0% ~0%
static-tls 1024 1,108,408 6378.1% 639MiB ~0% ~0%
latency-1m 1024 997,650 0.9976 18.90us 155.0us 5878.0us 2073.7% 427MiB ~0% ~0%
latency-10k 1024 9,980 0.9980 24.66us 102.0us 491.0us 24.0% 412MiB ~0% ~0%
latency-500k-8cpu 1024 495,998 0.9920 15.53us 538368.0us 579328.0us 816.7% 116MiB ~0% ~0%
async 32000 2,800,357 6347.0% 2.1GiB ~0% ~0%
Full log
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 10000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.002,
  "requests": 199678,
  "bytes": 12979070,
  "achieved_rate": 9982.74,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9983,
  "bytes_per_sec": 648878.29,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 33, "mean": 75.7, "stdev": 408.7, "max": 33407,
    "p50": 61, "p75": 81, "p90": 87, "p99": 106, "p99_9": 405, "p99_99": 25448
  },
  "status_codes": { "1xx": 0, "2xx": 199678, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 28.0% | Mem 431MiB
[info] run 1 wins on score

=== Best: 9980 req/s (CPU: 24.0%, Mem: 412MiB) ===
[info] exact CPU: 4.92 core-seconds | 24.659 us/req
=== Fixed-rate: cpu/req 24.66us | p99 102.0us | p99.9 491.0us | rate_ratio 0.9980 ===
[info] saved results/latency-10k/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9874868,
  "bytes": 641866420,
  "achieved_rate": 493638.10,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9873,
  "bytes_per_sec": 32086476.54,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 718657,
  "latency_us": {
    "min": 30, "mean": 112754.4, "stdev": 172830.1, "max": 720895,
    "p50": 179, "p75": 210752, "p90": 388736, "p99": 637696, "p99_9": 683776, "p99_99": 711424
  },
  "status_codes": { "1xx": 0, "2xx": 9874868, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 815.6% | Mem 113MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.004,
  "requests": 9921865,
  "bytes": 644921225,
  "achieved_rate": 495997.94,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9920,
  "bytes_per_sec": 32239865.82,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 617875,
  "latency_us": {
    "min": 28, "mean": 57223.9, "stdev": 122871.6, "max": 620031,
    "p50": 201, "p75": 26888, "p90": 223808, "p99": 538368, "p99_9": 579328, "p99_99": 608512
  },
  "status_codes": { "1xx": 0, "2xx": 9921865, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 816.7% | Mem 116MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.005,
  "requests": 9574250,
  "bytes": 622326250,
  "achieved_rate": 478597.64,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.9572,
  "bytes_per_sec": 31108846.65,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 3076841,
  "latency_us": {
    "min": 28, "mean": 374885.2, "stdev": 647666.9, "max": 3080191,
    "p50": 225, "p75": 571136, "p90": 1266176, "p99": 2812928, "p99_9": 3017728, "p99_99": 3046400
  },
  "status_codes": { "1xx": 0, "2xx": 9574250, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 778.5% | Mem 119MiB
[info] run 2 wins on score

=== Best: 495998 req/s (CPU: 816.7%, Mem: 116MiB) ===
[info] exact CPU: 154.08 core-seconds | 15.529 us/req
=== Fixed-rate: cpu/req 15.53us | p99 538368.0us | p99.9 579328.0us | rate_ratio 0.9920 ===
[info] saved results/latency-500k-8cpu/1024/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.86ms   11.20ms   12.00ms   12.80ms   393.00ms

  26835874 requests in 10.00s, 26803874 responses
  Throughput: 2.68M req/s
  Bandwidth:  168.67MB/s
  Status codes: 2xx=26803874, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 26803874 / 26803874 responses (100.0%)
[info] CPU 5850.4% | Mem 2.1GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.35ms   11.20ms   12.00ms   12.60ms   13.30ms

  28035578 requests in 10.00s, 28003578 responses
  Throughput: 2.80M req/s
  Bandwidth:  176.22MB/s
  Status codes: 2xx=28003578, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 28003578 / 28003578 responses (100.0%)
[info] CPU 6347.0% | Mem 2.1GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   11.38ms   11.20ms   12.00ms   12.60ms   13.30ms

  27969047 requests in 10.00s, 27937047 responses
  Throughput: 2.79M req/s
  Bandwidth:  175.81MB/s
  Status codes: 2xx=27937047, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 27937047 / 27937047 responses (100.0%)
[info] CPU 6349.7% | Mem 2.1GiB

=== Best: 2800357 req/s (CPU: 6347.0%, Mem: 2.1GiB) ===
[info] input BW: 128.19MB/s (avg template: 48 bytes)
[info] saved results/async/32000/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/libioxd.json - 9 new, 9 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

ioxd_compress listed after the /json handler: brotli (quality 0, the one-pass
coder) or gzip by the request's Accept-Encoding, applied by the engine at the
reply's first flush - the serialized body is one encoder call and one message
with the exact coded length - and nothing when the header is absent. The
Dockerfile brings libbrotli and zlib, meta.json subscribes to json-comp, and
libioxd is pinned at the commit that carries the middleware.

Claude-Session: https://claude.ai/code/session_013wYnJvEFUjKEpGLkyTLt9P
@MDA2AV

MDA2AV commented Sep 10, 2026

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/benchmark -f libioxd -t json-comp --save

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: libioxd | Test: json-comp

Test Conn RPS CPU Mem Δ RPS Δ Mem
json-comp 4096 750,337 6448.6% 1.5GiB ~0% ~0%
json-comp 16384 636,893 6651.4% 3.7GiB ~0% ~0%
Full log

#13 exporting to image
#13 exporting layers
#13 exporting layers 0.3s done
#13 exporting manifest sha256:d47037e17c90dd0a358b556c2987e6f8bc6a71baaf4ebacb40b1d1b7cdd276a6 0.0s done
#13 exporting config sha256:0ef1010d2a09ebaa448bec56b7579fcd276f820b08acc772a7c23196983a28ea 0.0s done
#13 exporting attestation manifest sha256:8bc373700a1a7b245cfd2a3e2e263b8e22d4687b987256b8ea8cb21cbb1026c3 0.1s done
#13 exporting manifest list sha256:d0585aa02c17cf3478d1a7616dd516f14792cfd2fd62b48a9cdf00f5e5d26c34
#13 exporting manifest list sha256:d0585aa02c17cf3478d1a7616dd516f14792cfd2fd62b48a9cdf00f5e5d26c34 0.0s done
#13 naming to docker.io/library/httparena-libioxd:latest done
#13 unpacking to docker.io/library/httparena-libioxd:latest 0.1s done
#13 DONE 0.6s
[info] zrk: docker mode (zrk:local)
[info] tuning host for benchmark runs
[info] CPU governor → performance
[info] setting kernel socket limits
[info] setting UDP buffer sizes for QUIC
[info] setting loopback MTU to 1500 (realistic Ethernet)
[info] restarting docker daemon
[info] dropping kernel caches

==============================================
=== libioxd / json-comp / 4096c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     4096 (64/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   5.53ms   6.54ms   10.50ms   13.80ms   50.30ms

  3700650 requests in 5.00s, 3700653 responses
  Throughput: 739.92K req/s
  Bandwidth:  1.12GB/s
  Status codes: 2xx=3700653, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 3700653 / 3700653 responses (100.0%)
  Reconnects: 146188
  Per-template: 1233426,1233389,1233838
  Per-template-ok: 1233426,1233389,1233838
[info] CPU 6071.8% | Mem 1.4GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     4096 (64/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   5.44ms   6.65ms   10.50ms   13.60ms   14.90ms

  3751680 requests in 5.00s, 3751686 responses
  Throughput: 750.12K req/s
  Bandwidth:  1.13GB/s
  Status codes: 2xx=3751686, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 3751661 / 3751686 responses (100.0%)
  Reconnects: 148655
  Per-template: 1250270,1250705,1250686
  Per-template-ok: 1250270,1250705,1250686
[info] CPU 6448.6% | Mem 1.5GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     4096 (64/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   5.47ms   6.62ms   10.40ms   13.40ms   14.80ms

  3728934 requests in 5.00s, 3728921 responses
  Throughput: 745.58K req/s
  Bandwidth:  1.13GB/s
  Status codes: 2xx=3728921, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 3728891 / 3728921 responses (100.0%)
  Reconnects: 147617
  Per-template: 1242718,1242839,1243334
  Per-template-ok: 1242718,1242839,1243334
[info] CPU 6232.1% | Mem 1.5GiB

=== Best: 750337 req/s (CPU: 6448.6%, Mem: 1.5GiB) ===
[info] input BW: 55.82MB/s (avg template: 78 bytes)
[info] saved results/json-comp/4096/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd

==============================================
=== libioxd / json-comp / 16384c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     16384 (256/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   28.07ms   24.90ms   32.00ms   50.00ms   464.20ms

  2920767 requests in 5.00s, 2905087 responses
  Throughput: 580.85K req/s
  Bandwidth:  898.93MB/s
  Status codes: 2xx=2905087, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 2905087 / 2905087 responses (100.0%)
  Reconnects: 108584
  Per-template: 967639,969271,968177
  Per-template-ok: 967639,969271,968177
[info] CPU 5509.1% | Mem 3.6GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     16384 (256/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.51ms   25.00ms   31.50ms   36.70ms   42.60ms

  3200594 requests in 5.00s, 3184469 responses
  Throughput: 636.72K req/s
  Bandwidth:  985.26MB/s
  Status codes: 2xx=3184469, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 3184469 / 3184469 responses (100.0%)
  Reconnects: 119003
  Per-template: 1061863,1061901,1060705
  Per-template-ok: 1061863,1061901,1060705
[info] CPU 6651.4% | Mem 3.7GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     16384 (256/thread)
  Pipeline:  1
  Req/conn:  25
  Templates: 3
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.55ms   25.00ms   31.60ms   36.80ms   41.50ms

  3194931 requests in 5.00s, 3178555 responses
  Throughput: 635.50K req/s
  Bandwidth:  983.43MB/s
  Status codes: 2xx=3178555, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 3178555 / 3178555 responses (100.0%)
  Reconnects: 118738
  Per-template: 1059823,1059026,1059706
  Per-template-ok: 1059823,1059026,1059706
[info] CPU 6323.7% | Mem 3.7GiB

=== Best: 636893 req/s (CPU: 6651.4%, Mem: 3.7GiB) ===
[info] input BW: 47.38MB/s (avg template: 78 bytes)
[info] saved results/json-comp/16384/libioxd.json
httparena-bench-libioxd
httparena-bench-libioxd
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/libioxd.json - 2 new, 11 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

@MDA2AV

MDA2AV commented Sep 10, 2026

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potential ENOBUF buffer starvation in some tests, investigate.

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