Prometheus and Grafana integration in Kafka - Step-by-Step Execution

Process Flow - Prometheus and Grafana integration

Start Kafka Exporter

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Prometheus Scrapes Metrics

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Store Metrics in Prometheus DB

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Grafana Queries Prometheus

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Grafana Visualizes Metrics

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User Views Dashboards

Metrics flow from Kafka exporter to Prometheus, then Grafana queries Prometheus to display dashboards for users.

Execution Sample

Kafka

kafka_exporter --kafka.server=localhost:9092
prometheus.yml:
  scrape_configs:
    - job_name: 'kafka'
      static_configs:
        - targets: ['localhost:9308']

Start Kafka exporter, configure Prometheus to scrape metrics from it.

Process Table

Step	Action	Component	Result	Next Step
1	Start Kafka Exporter	Kafka Exporter	Exporter runs on port 9308, exposing metrics	Prometheus scrapes metrics
2	Prometheus scrapes metrics	Prometheus	Fetches metrics from localhost:9308	Store metrics in DB
3	Store metrics	Prometheus DB	Metrics stored with timestamps	Grafana queries Prometheus
4	Grafana queries Prometheus	Grafana	Queries metrics via Prometheus API	Visualize metrics
5	Visualize metrics	Grafana Dashboard	Displays Kafka metrics graphs	User views dashboard
6	User views dashboard	User	Sees real-time Kafka metrics	End

💡 User views dashboard; monitoring cycle complete

Status Tracker

Variable	Start	After Step 1	After Step 2	After Step 3	After Step 4	After Step 5	Final
Kafka Exporter Status	Stopped	Running	Running	Running	Running	Running	Running
Prometheus Metrics	None	None	Fetched metrics	Stored metrics	Stored metrics	Stored metrics	Stored metrics
Grafana Query Result	None	None	None	Metrics data	Metrics data	Metrics data	Metrics data
Dashboard Display	Empty	Empty	Empty	Empty	Graphs shown	Graphs shown	Graphs shown

Key Moments - 3 Insights

Why does Prometheus need to scrape metrics instead of Kafka pushing them?

Prometheus uses a pull model to control when and how often it collects metrics, as shown in execution_table step 2 where Prometheus actively fetches metrics.

What role does Kafka Exporter play in this integration?

Kafka Exporter exposes Kafka metrics in a format Prometheus can scrape, as seen in step 1 where it runs and exposes metrics on port 9308.

How does Grafana get the data to display dashboards?

Grafana queries Prometheus's stored metrics via its API (step 4), then visualizes them in dashboards (step 5).

Visual Quiz - 3 Questions

Look at the execution_table, at which step does Prometheus store the scraped metrics?

A Step 2

B Step 4

C Step 3

D Step 5

💡 Hint

Check the 'Result' column for step 3 describing metrics storage.

According to variable_tracker, what is the state of Grafana Query Result after step 4?

A None

B Metrics data

C Empty

D Stored metrics

💡 Hint

Look at the 'Grafana Query Result' row under 'After Step 4' column.

If Kafka Exporter fails to start, which step in execution_table would not occur?

A Step 2

B Step 3

C Step 1

D Step 4

💡 Hint

Prometheus scrapes metrics only after exporter runs (step 1), see execution_table step 2.

Concept Snapshot

Prometheus and Grafana integration:
- Kafka Exporter exposes Kafka metrics
- Prometheus scrapes metrics via pull
- Metrics stored in Prometheus DB
- Grafana queries Prometheus API
- Grafana visualizes metrics on dashboards
- Users monitor Kafka health visually

Full Transcript

This visual execution shows how Kafka metrics flow from Kafka Exporter to Prometheus and then to Grafana. First, Kafka Exporter runs and exposes metrics on port 9308. Prometheus scrapes these metrics regularly and stores them in its database. Grafana queries Prometheus to get the stored metrics and displays them on dashboards. Users then view these dashboards to monitor Kafka's performance and health in real time.