[HN Gopher] Show HN: Tangent - Security log pipeline powered by ...
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Show HN: Tangent - Security log pipeline powered by WASM
Hi HN! We're Ethan and Danny, the authors of Tangent
(https://github.com/telophasehq/tangent), a Rust-based log pipeline
where all normalization, enrichment, and detection logic runs as
WASM plugins. We kept seeing the same problems in the OCSF
(https://ocsf.io) community: 1) Schemas change constantly. Large
companies have whole teams dedicated to keeping vendor-OCSF
mappings up to date. 2) There's no shared library of mappings, so
everyone recreates the same work. 3) Writing mappers is tedious,
repetitive work. 4) Most pipelines use proprietary DSLs that are
hard to share and hard for tools/LLMs to generate. Tangent takes a
different approach: no DSLs - mappings and enrichments are just
normal code compiled to WASM, shareable plugins - we maintain a
community library (https://github.com/telophasehq/tangent-plugins),
interoperability - we can run other engines' DSLs (e.g., Bloblang)
inside WASM for easy migration, full flexibility - plugins can
validate schemas, call external APIs
(https://github.com/telophasehq/tangent/blob/main/examples/en...),
or perform complex transforms
(https://github.com/telophasehq/tangent-plugins/blob/main/zee...).
Here's an example Python transformation plugin to drop all fields
from a log except `message`: import json
from typing import List from wit_world.imports import
log # `log.Logview` is Tangent's zero-copy JSON
accessor type. def process_logs(self, logs:
List[log.Logview]) -> bytes: out = bytearray()
for lv in logs: msg = lv.get("msg")
value = msg.value if msg is not None else ""
out.extend(json.dumps({"message": value}).encode() + b"\n")
return bytes(out) We have plenty more examples in the repo.
Because plugins are just Go/Python/Rust, LLMs can create new
mappers with ease. For example, I asked: Generate a
mapper from AWS Security Hub Finding to OCSF and only had to
make a few minor tweaks. (https://github.com/telophasehq/tangent-
plugins/blob/main/aws...) Performance-wise, a 16-core Amazon Linux
box processes ~480 MB/s end-to-end (TCP - Rust-WASM transform -
sink) on ~100-byte JSON logs. The CLI includes tooling to scaffold,
test, and benchmark plugins locally. Here's a deep dive into how we
are able to get this performance:
https://docs.telophasehq.com/runtime. We'd love to get your
feedback! What do you think?
Author : ethanblackburn
Score : 17 points
Date : 2025-11-20 16:41 UTC (6 hours ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| iddan wrote:
| This is awesome!
| ethanblackburn wrote:
| Thank you! It was a lot of fun to build
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