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python-syntheticalert

Drive a synthetic alert metric from Python, so a Triple Pat check-in timer can verify your alerting pipeline end to end. Works with Prometheus and OpenTelemetry.

Why

A broken alerting pipeline looks exactly like a healthy system. No alerts might mean nothing is wrong, or it might mean your alerting is down, and your alerting system is the one thing that cannot alert you about itself.

This library provides a time-based callback to drive a synthetic alert metric. You register the callback as a gauge in your existing metrics setup, alert on the gauge like any other metric, and route the alert to a Triple Pat check-in timer. Every delivered alert then becomes a check-in, and every firing is another fire drill for the whole path from metric to notification. If the check-ins ever stop, your alerting pipeline is broken, and the Triple Pat app raises an alarm through a separate channel to tell you so. An example alert rule and Alertmanager route are below.

Usage

uv add triplepat-syntheticalert   # or: pip install triplepat-syntheticalert

The library has no dependencies and no background threads. It is a single callable that answers the question "should the synthetic alert be firing right now?", and you hand it to your metrics client as a gauge callback.

Prometheus

Alongside your existing Prometheus setup:

from prometheus_client import Gauge
from syntheticalert import SyntheticAlert

gauge = Gauge(
    "triplepat_synthetic_alert",
    "Set to 1 when the synthetic alert should fire and 0 otherwise. Alert on "
    "this metric and route the alert to a Triple Pat check-in timer to "
    "continuously test your alerting pipeline.",
)
gauge.set_function(SyntheticAlert())

OpenTelemetry

The same callable serves OpenTelemetry through its observe method. The OTel-to-Prometheus exporter turns the dotted metric name into triplepat_synthetic_alert:

from syntheticalert import SyntheticAlert

meter.create_observable_gauge(
    "triplepat.synthetic.alert",
    callbacks=[SyntheticAlert().observe],
    description="Set to 1 when the synthetic alert should fire and 0 otherwise.",
)

The schedule

Each firing holds the gauge at 1 for exactly 10 minutes. The silent gap between firings, from the end of one to the start of the next, is memoryless: exponentially distributed with a mean of one hour.

Memoryless gaps make the firings an attempt at a Poisson process, which cannot synchronize with cron jobs or scrape cycles, and which by the PASTA theorem sees your pipeline as it typically is rather than at some special moment.

As a nod to practicality the gap is truncated. It is never less than 10 minutes, so the alert visibly resolves between firings, and never more than two hours, so the check-in timer can be sized. The truncation pulls the realized mean gap down to about 49 minutes and makes the process only roughly Poisson. If you need the PASTA property and can tolerate wider variation in start times, set a lower min and a higher max, then size the timer for the larger max. That recovers most of the Poisson behavior; for the last few percent, use a mean much longer than the firing duration, since the interval between firing starts is the firing plus the gap.

The schedule advances lazily, at scrape time, from time.monotonic(). If nobody scrapes for a while, the next scrape replays every transition it missed, so the process stays honest whatever your scrape interval.

There is no magic here: one line is a serviceable substitute, firing for the first ten minutes of every hour:

import time

gauge.set_function(lambda: 1.0 if time.localtime().tm_min < 10 else 0.0)

But that version fires at the top of every hour, exactly when your cron jobs are doing something interesting. The memoryless schedule cannot synchronize with anything, and that is the point of the library. If you want a deterministic schedule anyway, the line above is all you need.

Options

All durations are floats, in seconds.

Keyword Effect Default
mean_interval Mean silent gap between firings 3600.0
min_interval Lower bound on the silent gap 600.0
max_interval Upper bound on the silent gap 7200.0
firing_duration How long each firing holds the gauge at 1 600.0
clock Time source, for tests time.monotonic

The firing duration must be shorter than the mean interval, and the min and max intervals must bracket the mean. Bad options raise ValueError at construction. Each scrape logs the current state at DEBUG on the syntheticalert logger.

Alert on the metric

groups:
  - name: synthetic
    rules:
      - alert: SyntheticAlert
        expr: triplepat_synthetic_alert == 1
        labels:
          severity: synthetic
        annotations:
          summary: Synthetic alert exercising the alerting pipeline.

Route the alert to a check-in timer

Create a check-in timer at Triple Pat, then point the alert at it. Prefer email delivery: mail transfer agents queue, retry, and try every backend listed in DNS, so a check-in email is more likely to arrive than a single webhook request to a single destination. Send to the same timer at both the .com and .net addresses for good measure; extra check-ins are harmless. Merge this into your existing Alertmanager config (the fragment assumes you already have a default receiver and working smtp_* defaults):

route:
  routes:
    - matchers:
        - alertname="SyntheticAlert"
      receiver: triplepat
      group_wait: 0s
receivers:
  - name: triplepat
    email_configs:
      - to: YOUR-TIMER-UUID@checkin.triplepat.com
        send_resolved: false
      - to: YOUR-TIMER-UUID@checkin.triplepat.net
        send_resolved: false

send_resolved: false keeps the resolve notification from counting as an extra check-in, so each firing checks in when it starts and not again when it resolves.

If you cannot send email, deliver the alert as a webhook instead:

receivers:
  - name: triplepat
    webhook_configs:
      - url: https://triplepat.com/api/v1/checkin/YOUR-TIMER-UUID
        send_resolved: false

Sizing the timer

Set the check-in timer's interval to at least max interval + firing duration + your alerting pipeline's latency. With the defaults (silent gaps of at most two hours, plus 10 minutes of firing), a three-hour timer is comfortable.

License

Apache-2.0. See LICENSE.

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A synthetic alert measurement callback for Python, so a Triple Pat check-in timer can verify your alerting pipeline.

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