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Designing a metric system

· 13 min read

Requirements

Log v.s Metric: A log is an event that happened, and a metric is a measurement of the health of a system.

We are assuming that this system’s purpose is to serve metrics - namely, counters, conversion rate, timers, etc. for monitoring the system performance and health. If the conversion rate drops drastically, the system should alert the on-call.

  1. Monitoring business metrics like signup funnel’s conversion rate
  2. Supporting various queries, like on different platforms (IE/Chrome/Safari, iOS/Android/Desktop, etc.)
  3. data visualization
  4. Scalability and Availability

Architecture

Two ways to build the system:

  1. Push Model: Influx/Telegraf/Grafana
  2. Pull Model: Prometheus/Grafana

The pull model is more scalable because it decreases the number of requests going into the metrics databases - there is no hot path and concurrency issue.

Server Farm

Server Farm

write

write

telegraf

telegraf

InfluxDB

InfluxDB

REST API

REST API

Grafana

Grafana

InfluxDB Push Model

InfluxDB Push Model

Prometheus Pull Model

Prometheus Pull Model

Application

Application

Exporter

Exporter

client library

client library

3rd Party


Application

3rd Party<br>Application

pull

pull

Prometheus

Prometheus

Retrieval

Retrieval

Service Discovery

Service Discovery

Storage

Storage

PromQL

PromQL

Alertmanager

Alertmanager

Web UI / Grafana / API Clients

Web UI / Grafana / API Clients

PagerDuty

PagerDuty

Email

Email

Features and Components

Measuring Sign-up Funnel

Take a four-step sign up on the mobile app for example

INPUT_PHONE_NUMBER -> VERIFY_SMS_CODE -> INPUT_NAME -> INPUT_PASSWORD

Every step has IMPRESSION and POST_VERIFICATION phases. And emit metrics like this:

{
"sign_up_session_id": "uuid",
"step": "VERIFY_SMS_CODE",
"os": "iOS",
"phase": "POST_VERIFICATION",
"status": "SUCCESS",
// ... ts, contexts, ...
}

Consequently, we can query the overall conversion rate of VERIFY_SMS_CODE step on iOS like

(counts of step=VERIFY_SMS_CODE, os=iOS, status: SUCCESS, phase: POST_VERIFICATION) / (counts of step=VERIFY_SMS_CODE, os=iOS, phase: IMPRESSION)

Data Visualization

Graphana is mature enough for the data visualization work. If you do not want to expose the whole site, you can use Embed Panel with iframe.

References: