rust-py-monitor

High-performance Python monitoring library with a Rust core.

Collects CPU, memory, threads, and HTTP request metrics from Django and FastAPI applications with minimal overhead. Exports metrics to logs, JSON, and Prometheus.

Features

Process snapshot — CPU %, RSS memory, virtual memory, thread count, PID
FastAPI middleware — per-request latency, method, path, status code (errors recorded even when a handler raises)
Django middleware — same, for WSGI and ASGI Django apps
Aggregator — total requests, error count, error rate, avg/min/max/p50/p95/p99 latency
Bounded store — request history is a capped ring buffer (default 10k) — constant memory under any traffic
Multi-worker aggregation — opt-in shared store merges metrics across gunicorn/uvicorn workers (RPY_MULTIPROC_DIR)
Prometheus exporter — /metrics endpoint compatible with Prometheus scraper
Threshold alerts — check_alerts(...) flags high CPU / memory against your limits
Rust core — collection and aggregation happen in Rust via PyO3; Python API stays simple

Requirements

Python 3.10+
No mandatory runtime dependencies

Optional, installed separately:

fastapi + starlette — for MonitorMiddleware and make_fastapi_router()
django — for MonitorMiddleware and django_metrics_view

Installation

pip install rust-py-monitor

With optional extras:

pip install "rust-py-monitor[fastapi]"
pip install "rust-py-monitor[django]"
pip install "rust-py-monitor[fastapi,django,prometheus]"

Quick Start

import rust_py_monitor

# Process snapshot
m = rust_py_monitor.snapshot()
print(m)
# Snapshot(pid=1234, cpu=0.3%, rss=45.2MB, virt=512.0MB, threads=4, ts=1718000000)

print(m.pid)            # 1234
print(m.memory_rss_mb)  # 45.2
print(m.to_dict())      # {"pid": 1234, "cpu_percent": 0.3, ...}

# Aggregated request metrics
stats = rust_py_monitor.aggregate()
print(stats.total_requests)  # 0 (no middleware active yet)
print(stats.p95_latency_ms)  # 0.0

FastAPI

Middleware

from fastapi import FastAPI
from rust_py_monitor.fastapi import MonitorMiddleware

app = FastAPI()
app.add_middleware(MonitorMiddleware)


@app.get("/")
async def root():
    return {"status": "ok"}

Prometheus endpoint

from fastapi import FastAPI
from rust_py_monitor.fastapi import MonitorMiddleware
from rust_py_monitor.prometheus import make_fastapi_router

app = FastAPI()
app.add_middleware(MonitorMiddleware)
app.include_router(make_fastapi_router())          # GET /metrics
# app.include_router(make_fastapi_router("/prom")) # custom path

Inspect metrics programmatically

import rust_py_monitor

stats = rust_py_monitor.aggregate()
print(f"Requests: {stats.total_requests}")
print(f"Errors:   {stats.total_errors} ({stats.error_rate:.1f}%)")
print(f"p95:      {stats.p95_latency_ms:.1f}ms")
print(f"p99:      {stats.p99_latency_ms:.1f}ms")

for req in rust_py_monitor.get_requests()[-5:]:
    print(req)
    # RequestMetric(GET /api/users 200 12.34ms)

Django

Middleware

# settings.py
MIDDLEWARE = [
    "rust_py_monitor.django.MonitorMiddleware",
    # ... other middlewares ...
]

Prometheus endpoint

# urls.py
from django.urls import path
from rust_py_monitor.prometheus import django_metrics_view

urlpatterns = [
    path("metrics/", django_metrics_view),
    # ...
]

The middleware supports both WSGI and ASGI Django applications automatically.

Prometheus Output

GET /metrics returns:

# HELP rpy_requests_total Total HTTP requests recorded
# TYPE rpy_requests_total counter
rpy_requests_total 1024

# HELP rpy_errors_total Total HTTP errors (status >= 400)
# TYPE rpy_errors_total counter
rpy_errors_total 12

# HELP rpy_error_rate_percent HTTP error rate as a percentage
# TYPE rpy_error_rate_percent gauge
rpy_error_rate_percent 1.171875

# HELP rpy_latency_p95_ms P95 request latency in milliseconds
# TYPE rpy_latency_p95_ms gauge
rpy_latency_p95_ms 47.3

# HELP rpy_process_memory_rss_bytes Process RSS memory in bytes
# TYPE rpy_process_memory_rss_bytes gauge
rpy_process_memory_rss_bytes 52428800

# ... (13 metrics total)

Content-Type: text/plain; version=0.0.4; charset=utf-8

API Reference

`rust_py_monitor.snapshot() → Snapshot`

Captures a point-in-time snapshot of the current process.

Property	Type	Description
`pid`	`int`	Process ID
`cpu_percent`	`float`	CPU usage (0–100 × cores). First call may return 0.0.
`memory_rss`	`int`	Resident Set Size in bytes
`memory_rss_mb`	`float`	RSS in megabytes (convenience)
`memory_virtual`	`int`	Virtual memory in bytes
`threads`	`int`	Thread count (0 on macOS/Windows)
`timestamp`	`int`	Unix timestamp in seconds
`to_dict()`	`dict`	All fields as a plain dict

`rust_py_monitor.aggregate() → AggregatedMetrics`

Computes statistics over all requests recorded since startup (or last clear_requests()).

Property	Type	Description
`total_requests`	`int`	Total request count
`total_errors`	`int`	Requests with status ≥ 400
`error_rate`	`float`	`total_errors / total_requests × 100`
`avg_latency_ms`	`float`	Mean latency
`min_latency_ms`	`float`	Minimum latency
`max_latency_ms`	`float`	Maximum latency
`p50_latency_ms`	`float`	Median latency
`p95_latency_ms`	`float`	95th percentile latency
`p99_latency_ms`	`float`	99th percentile latency
`to_dict()`	`dict`	All fields as a plain dict

`rust_py_monitor.get_requests() → list[RequestMetric]`

Returns all recorded requests. Each RequestMetric has:

Property	Type
`method`	`str`
`path`	`str`
`status_code`	`int`
`duration_ms`	`float`
`timestamp`	`int`
`to_dict()`	`dict`

`rust_py_monitor.metrics_text() → str`

Returns all metrics in Prometheus text exposition format (v0.0.4).

`rust_py_monitor.check_alerts(cpu_percent=None, memory_rss_mb=None, memory_virtual_mb=None) → list[dict]`

Simple, stateless threshold alerts over the current process snapshot. Pass the thresholds you want to watch; it returns the alerts that fired (a metric exceeds its threshold). Memory thresholds are in megabytes. Only the thresholds you provide are evaluated.

import rust_py_monitor

fired = rust_py_monitor.check_alerts(cpu_percent=80, memory_rss_mb=500)
# [{"metric": "memory_rss_mb", "value": 612.4, "threshold": 500, "severity": "warning"}]

for alert in fired:
    print(f"[alert] {alert['metric']}={alert['value']} > {alert['threshold']}")

Each alert is a dict {"metric", "value", "threshold", "severity"}, where metric is one of "cpu_percent", "memory_rss_mb", "memory_virtual_mb". Being stateless, you decide when to call it (in a /health handler, a periodic task, etc.) and what to do with the result.

`rust_py_monitor.clear_requests()`

Clears the request store. Useful for testing and periodic resets.

`rust_py_monitor.set_max_requests(n)` / `get_max_requests() → int`

The request store is a bounded ring buffer (default capacity 10 000). Once full, the oldest entries are evicted first, so memory never grows without bound. Use these to tune the retention window.

Multi-worker deployments (gunicorn / uvicorn)

By default each worker process keeps its own in-memory store. A Prometheus scrape of /metrics reaches only one worker, so the numbers would reflect just that worker's traffic.

Set the RPY_MULTIPROC_DIR environment variable to a writable directory to enable shared aggregation. Each worker writes a small fixed-size shard file (rpy-<pid>.shard); aggregate() and metrics_text() then merge all live workers' shards at read time. Shards of dead workers are pruned automatically.

export RPY_MULTIPROC_DIR=/tmp/rpy-metrics
gunicorn -w 4 myapp:app

You can also configure it at runtime:

import rust_py_monitor
rust_py_monitor.set_multiproc_dir("/tmp/rpy-metrics")
rust_py_monitor.multiproc_enabled()   # True
rust_py_monitor.get_multiproc_dir()   # "/tmp/rpy-metrics"

Notes:

Counters (total_requests, total_errors) and latency histogram buckets are summed across workers. Latency percentiles (p50/p95/p99) are therefore approximated from the merged histogram rather than computed exactly.
get_requests() always returns the local process's recent requests only.
Process metrics (CPU/memory/threads) reflect the worker that served the scrape.

Roadmap

rust-py-monitor is mature (v0.2.0): process snapshots, FastAPI/Django middlewares, the latency aggregator, the bounded ring-buffer store, multi-worker aggregation, and the Prometheus exporter are shipped. Directional ideas under consideration (simple CPU/memory alerts, GC metrics, per-route labeled metrics, more exporters/sinks, a Flask middleware) are tracked in ROADMAP.md.

Building from Source

Requires Rust and maturin.

pip install maturin
git clone https://github.com/robertolima-dev/rust-py-monitor
cd rust-py-monitor

# Development build (installs into current Python environment)
maturin develop

# Release wheel
maturin build --release

Running tests

# Rust unit tests
cargo test

# Python integration tests
pip install pytest pytest-asyncio httpx fastapi django
pytest tests/

Architecture

Python API (rust_py_monitor)
    ├── snapshot()          ──► src/snapshot.rs   (sysinfo crate)
    ├── aggregate()         ──► src/aggregator.rs (pure Rust math)
    ├── get_requests()      ──► src/request_metrics.rs (static Mutex<VecDeque>, bounded)
    ├── metrics_text()      ──► src/prometheus.rs (text formatter)
    ├── set_multiproc_dir() ──► src/multiproc.rs  (mmap shard per worker)
    │
    ├── fastapi.MonitorMiddleware  ──► record_request() ──► Rust store
    ├── django.MonitorMiddleware   ──► record_request() ──► Rust store
    └── prometheus.make_fastapi_router() / django_metrics_view

The Rust core is compiled to a native .so / .pyd extension module by maturin and PyO3. The Python layer is thin — it just routes calls and provides framework-specific adapters.

License

MIT — see LICENSE.

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SHA256	`4584aa31893e0ee072b4d21487501c23afbfcfecfd8f8e048e89333872a0aed9`
MD5	`b290643eeaa1393702db548b41c0ef61`
BLAKE2b-256	`55caeeb50f0671ffa180bf798b9ccf05a0a318e1e398ed473f51991df41129cf`

Algorithm	Hash digest
SHA256	`a600e5f9bc9659b9e60a17fc2b9346cd31a8fddd31285152660659bc676a7564`
MD5	`953c03e891d067a1404461c4c58a9010`
BLAKE2b-256	`82eadba03d861601570e20256338f3390a776413bde1fdd9169cf095a244e6c2`

Algorithm	Hash digest
SHA256	`5b3ff21ef55f95ba792646badde05b45e8cf35d02d16dd5fdedf6532cf4200c1`
MD5	`caaeaa0a8f363d19790c075166568713`
BLAKE2b-256	`558959b89991e333ee8b202c3c9123e2cbc14676001583d15b84793dd5a0c942`

Algorithm	Hash digest
SHA256	`75d9bcad89ac6a18fe6683e8ca79350256e0b03b3a9772377add0d49f357ee24`
MD5	`2ae9f1cf9f64bf04dcf282b643ea8f2e`
BLAKE2b-256	`2fb7496a57baa6f7540978533382f9a190dae4c8d473d057a4b46009ca8ca055`

Algorithm	Hash digest
SHA256	`5dd891d17e0b444d7a15f4b4e40ecc7d3ebfaa120c75c6b9d7a0ab191e688557`
MD5	`494c34f8a96646baecf231a2dfb048a7`
BLAKE2b-256	`a18f98a21c851c41c049d6e6ed7079f715c16f54b74d5fe1fe01e2dd23b539cd`

Algorithm	Hash digest
SHA256	`8cb81e1a82853a568896c3e866cd3eaf51903924dc7d1113ce3bacdd601ae3ec`
MD5	`fff843351a605e26d1a3167ac8822c2e`
BLAKE2b-256	`280477e351fa5002b653132fb8e5ec058fc8df4e4ae82d03c3e01e4ad49d2754`

Algorithm	Hash digest
SHA256	`7d5d1d05648f2a8c2fddb0d69b1440a82e6493eee5d06a4c5d28a2b639a2b7a9`
MD5	`8a8fe14321ec1ec5b6f02e4d036b1974`
BLAKE2b-256	`7e4f1705827dc1d1f617cb431fef5d213a3a789427b77fdb5133afaafbf43670`

Algorithm	Hash digest
SHA256	`1f8784278f13bf518f052d4b64c2373275f0a38ab28e9f022d3aef08d3a9a03f`
MD5	`40e9ee0aac4b6e517e89c662adcb2caa`
BLAKE2b-256	`fba96cb412b68a28b9a0775b4293685c42e0682ff9d3af1de6e8331d03891f7c`

Algorithm	Hash digest
SHA256	`2fb494fbe76b3d011077dc0bf13c9b19a9e4b1387adbf32bbfe6c484afc1d36f`
MD5	`0e5a5edbb1631d7e3111e67179e2326e`
BLAKE2b-256	`b150b18b29e05b5e18865502eed08bb47ca6a0f86501df41393e9dc839c0e5b8`

rust-py-monitor 0.3.0

rust-py-monitor

Features

Requirements

Installation

Quick Start

FastAPI

Middleware

Prometheus endpoint

Inspect metrics programmatically

Django

Middleware

Prometheus endpoint

Prometheus Output

API Reference

rust_py_monitor.snapshot() → Snapshot

rust_py_monitor.aggregate() → AggregatedMetrics

rust_py_monitor.get_requests() → list[RequestMetric]

rust_py_monitor.metrics_text() → str

rust_py_monitor.check_alerts(cpu_percent=None, memory_rss_mb=None, memory_virtual_mb=None) → list[dict]

rust_py_monitor.clear_requests()

rust_py_monitor.set_max_requests(n) / get_max_requests() → int

Multi-worker deployments (gunicorn / uvicorn)

Roadmap

Building from Source

Running tests

Architecture

License

Key dates

1 maintainer

Credits

License

Requires

Tags

Classifiers

Download files

Source Distribution

Built Distributions

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`rust_py_monitor.snapshot() → Snapshot`

`rust_py_monitor.aggregate() → AggregatedMetrics`

`rust_py_monitor.get_requests() → list[RequestMetric]`

`rust_py_monitor.metrics_text() → str`

`rust_py_monitor.check_alerts(cpu_percent=None, memory_rss_mb=None, memory_virtual_mb=None) → list[dict]`

`rust_py_monitor.clear_requests()`

`rust_py_monitor.set_max_requests(n)` / `get_max_requests() → int`

Algorithm	Hash digest
SHA256	`518c43a52f9f5854762884189667f1b7e858b1457b1caf99e69c31f944138e33`
MD5	`833bdcad76c5f4809739af70d5fc4a0b`
BLAKE2b-256	`d93411fe6bebb581500e19f2b15f036ee0e3e4513a0517dc7aa45b4d21ae5613`

Algorithm	Hash digest
SHA256	`70025373a0ed5e8133871d183dbcd85b36e4a40f98db2f73f4378de1ad9b24e1`
MD5	`c2a72e2151700d24a96f8e8315b8645b`
BLAKE2b-256	`be34f0d7dacad0df78ef9c86d51a9d90cdd1a5c86be8f68c4c069733135e292f`

Algorithm	Hash digest
SHA256	`de81f6e08c54a468f9ac517ab1b5e44f60bf07ed27f1d5e80ab08eefdb993bfe`
MD5	`2b2ce495b53e7ee43c601556ad8c21fd`
BLAKE2b-256	`a37bd5ec686bdfa2b66d4342d4049fa80c70bba10f73915a59621c98feb61ad8`

Algorithm	Hash digest
SHA256	`6d9037c227faa2da1e506164a09d11207ed8077bf8e70823ba92eeff19785837`
MD5	`13d92313ec2b1f7b57c82131469e1ef8`
BLAKE2b-256	`0259136f85f8d9808e2cbd0eb5858718f9a44bc1eb0afe6c7aa982dfcea78430`

Algorithm	Hash digest
SHA256	`2cb62c1ac068a3fe305e6e73e5d019823dafa475be1710d3fd8b61af5fd973be`
MD5	`b8559361633c011f6dd0e4fa12eb7895`
BLAKE2b-256	`b2f98a72967ccfb6349e27eec5461b3cdd015655925b3a08a17d6b386fc31bbe`

Algorithm	Hash digest
SHA256	`cbc19f3ad67bfbde241ab4b8743bdb15f2374a9cf985d795c4a6802201788dc8`
MD5	`69265290be6fe7039b4ee44b2e8d9365`
BLAKE2b-256	`fb66c570d73f48614f8a2a82a598fe0b01cf178db8f731cd06a6cacf684afa2f`

Algorithm	Hash digest
SHA256	`f437eb08dda87da4512efaafdb06b88ab5423fd87036a3e221ab8d553ef50f30`
MD5	`9b2de016fa986f7208308fdd8978cf5e`
BLAKE2b-256	`8085c1ce3bd40b6d1819c68e973566f0f8d71557b1fa4edaefa96bfed75f0686`

Algorithm	Hash digest
SHA256	`a93ce1848413b6330f09f8ac0cce3097daf8236fe8e0afad69b4a3b0f42365a8`
MD5	`262b24993e63a73b953bfd275f2027a0`
BLAKE2b-256	`504fcd575426cc3b72ce72157a901056fb6f029d0f375ed7eb1ef482dbdd17ac`

Algorithm	Hash digest
SHA256	`ecbc9e2cadc048ef0beb7ac49d4967e58004463ebbbdd249f14cc79cb86c0f89`
MD5	`11b70f28d2be7968e2e89145198abfc6`
BLAKE2b-256	`8a157faf85783146a12c31e8579c8d835f57b5113142854d755c21c288ccb0c8`

Algorithm	Hash digest
SHA256	`271117fc628c3e7000c5bdfa6bb9b26c0242c086077df67ea51f473ab0a1a035`
MD5	`404aff956c64ae02b8af56edf7eb2b94`
BLAKE2b-256	`62723c08d5bf684425c26b88135f1ac1605f63a0e2e2362339f635085b08aae2`