plain.cloud 0.1.5

Production observability via OTLP export to Plain Cloud.

plain.cloud

Production observability via OTLP export to Plain Cloud.

• Overview
• Settings
• Sampling
• What gets exported
• Observer coexistence
• FAQs
• Installation

Overview

You can use plain.cloud to export traces and metrics from your Plain app to Plain Cloud. The framework already instruments itself with OpenTelemetry spans and histograms — plain.cloud activates them by providing the OTLP exporters.

Set one environment variable and your app starts pushing telemetry:

PLAIN_CLOUD_EXPORT_TOKEN=your-token

If CLOUD_EXPORT_TOKEN is not set, the package is a no-op — safe to install without configuration.

Settings

Setting	Default	Description
CLOUD_EXPORT_URL	"https://plainframework.com/otel"	OTLP ingest endpoint (override to use a custom endpoint)
CLOUD_EXPORT_TOKEN	""	Auth token for the export endpoint
CLOUD_TRACE_SAMPLE_RATE	1.0	Probability of exporting a trace (0.0–1.0)

All settings can be set via PLAIN_-prefixed environment variables or in app/settings.py.

Sampling

By default, all traces are exported. To reduce volume, set a sample rate:

CLOUD_TRACE_SAMPLE_RATE = 0.1  # Export 10% of traces

Metrics are not affected by sampling — histograms aggregate in-process and export periodically regardless of the trace sample rate.

What gets exported

Traces — HTTP request spans and database query spans instrumented by the framework.

Metrics — OTel histograms like db.client.query.duration, aggregated and pushed every 60 seconds.

Observer coexistence

If plain.observer is also installed, both work simultaneously. plain.cloud handles production export while observer provides the local dev toolbar and admin trace viewer. Observer detects the existing TracerProvider and layers its sampler and span processor on top.

FAQs

Do I need plain.observer to use plain.cloud?

No. plain.cloud works independently. Observer is for local dev tooling; plain.cloud is for production export.

What happens if the export endpoint is unreachable?

The OTLP exporters batch and retry automatically. If the endpoint is down, telemetry is dropped after retries — it does not block your application.

Does this add latency to requests?

No. Trace spans are exported in a background thread via BatchSpanProcessor. Metrics are flushed periodically by a background thread. Neither blocks request handling.

Installation

# app/settings.py
INSTALLED_PACKAGES = [
    "plain.cloud",
    # ...
]

Place plain.cloud before plain.observer in INSTALLED_PACKAGES so it sets up the TracerProvider first.