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Grafana

Grafana is an open-source analytics and visualization platform that allows you to query, visualize, alert on, and understand your metrics from various data sources through customizable dashboards.

• Provides real-time monitoring of IoT device data through intuitive dashboards
• Supports visualization of time-series data (which is common in IoT applications)
• Offers powerful alerting capabilities for monitoring device health and performance
• Enables custom dashboards that can display metrics from multiple IoT devices in one view.
• InfluxDB is optimized for storing and querying time-series data generated by IoT sensors.
• The combination provides high-performance data ingestion for handling large volumes of IoT telemetry.
• InfluxDB’s data retention policies help manage IoT data storage efficiently.
• Grafana can easily visualize the time-series data stored in InfluxDB through simple queries.
• Both tools are lightweight enough to run on edge computing devices for local IoT monitoring.

Deploy InfluxDB/Grafana

Create a network

• Isolation and security - The dedicated network isolates your containers from each other and from the host system, reducing the attack surface.
• Container-to-container communication - Containers in the same network can communicate using their container names (like “myinflux” and “mygrafana”) as hostnames, making connections simpler and more reliable.
• Port conflict prevention - You avoid potential port conflicts on the host, as multiple applications can use the same internal port numbers within their isolated network.
• Simpler configuration - Services can reference each other by container name instead of IP addresses, making configuration more maintainable.

podman network create monitoring-net

podman run -d --name myinflux \
  --network monitoring-net \
  -p 8086:8086 \
  -v "$PWD/influxdb-data:/var/lib/influxdb2" \
  -v "$PWD/influxdb-config:/etc/influxdb2" \
  -e DOCKER_INFLUXDB_INIT_MODE=setup \
  -e DOCKER_INFLUXDB_INIT_USERNAME=admin \
  -e DOCKER_INFLUXDB_INIT_PASSWORD=P@ssw0rd1 \
  -e DOCKER_INFLUXDB_INIT_ORG=rowan \
  -e DOCKER_INFLUXDB_INIT_BUCKET=mybucket \
  influxdb:latest

podman run -d --name mygrafana \
  --network monitoring-net \
  -p 3000:3000 \
  -v "$PWD/grafana-data:/var/lib/grafana" \
  grafana/grafana-oss:latest

InfluxDB

http://localhost:8086

Grafana

http://localhost:3000

podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=13.4 $(date +%s)"

podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=13.6 $(date +%s)"


 podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=12.42 $(date +%s)"


 podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=13.1 $(date +%s)"


 podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=12.8 $(date +%s)"


 podman exec -it myinflux influx write \
  --bucket mybucket \
  --precision s \
  "test_metric,host=server1 value=12.5 $(date +%s)"

**Grafana > Alerting > Alert Rules **

• Select influxdb
• Create New Rule

from(bucket: "mybucket")
  |> range(start: -1h)
  |> filter(fn: (r) => r._measurement == "test_metric")

Use this query not the one shown in image

from(bucket: "mybucket")
  |> range(start: -1h)
  |> filter(fn: (r) => r._measurement == "test_metric")

from(bucket: "mybucket")
  |> range(start: -1h)
  |> filter(fn: (r) => r._measurement == "test_metric")
  |> aggregateWindow(every: 5m, fn: mean, createEmpty: false)
  |> yield(name: "mean")

````<span id='footer-class'>Ver 6.0.5</span>
<footer id="last-change">Last change: 2026-02-05</footer>````