Deploy a live sensor dashboard with TimescaleDB and Grafana on Google Cloud C4A

About this Learning Path

Who is this for?

This is an introductory topic for DevOps engineers, database engineers, and software developers who want to deploy and operate TimescaleDB on SUSE Linux Enterprise Server (SLES) Arm64, ingest live time-series sensor data, and visualize it in Grafana.

What will you learn?

Upon completion of this Learning Path, you will be able to:

• Install and configure TimescaleDB on Google Cloud C4A Axion processors by building from source for Arm64
• Create a real-time sensor data ingestion pipeline using Python with hypertables, continuous aggregates, and retention policies
• Build a live sensor dashboard with Grafana that automatically refreshes to display time-series data
• Validate end-to-end data flow from ingestion through TimescaleDB to Grafana visualization

Prerequisites

Before starting, you will need the following:

• A Google Cloud Platform (GCP) account with billing enabled
• Basic familiarity with SQL, Python, and Grafana