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Principle:SeldonIO Seldon core Usage Metrics Publishing

From Leeroopedia
Knowledge Sources
Domains Observability, Metrics_Publishing, Usage_Telemetry
Last Updated 2026-02-13 14:00 GMT

Overview

A resilient event publishing mechanism that transmits collected usage metrics to one or more remote analytics endpoints with retry logic and concurrent delivery.

Description

Usage Metrics Publishing addresses the challenge of reliably delivering telemetry data from within a Kubernetes cluster to external analytics services. The publisher flattens structured metrics into key-value properties via reflection, wraps them as timestamped events with unique insert IDs for deduplication, and sends them concurrently to all configured endpoints. Resilience is achieved through exponential backoff retry with configurable maximum attempts and wait bounds.

This principle is independent of the specific analytics backend; the publisher treats each target URL as an opaque endpoint that accepts event-tracking HTTP requests.

Usage

Use this principle when designing a telemetry publisher that must deliver structured metrics to external analytics services with at-least-once delivery semantics and fan-out to multiple endpoints.

Theoretical Basis

The publishing follows a fan-out pattern with per-endpoint retry:

Pseudo-code Logic:

# Abstract algorithm description
event = {
    "timestamp": now(),
    "insert_id": unique_id(),
    "properties": flatten_to_kv(metrics)
}
for endpoint in configured_endpoints:
    async: retry_with_backoff(endpoint.send(event), max=20, min_wait=1s, max_wait=30s)
await_all()

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