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Products

INFLUXDB 3 PRODUCTS

Self-Managed

InfluxDB 3 Enterprise NEW
InfluxDB 3 Core (OSS) NEW

Fully Managed

InfluxDB Cloud Serverless
InfluxDB Cloud Dedicated

Telegraf

Telegraf Enterprise NEW
Telegraf (OSS)

RESOURCES

icon Platform Overview
icon Client Libraries
icon Explore All Integrations
Use Cases

USE CASES

Network & Infrastructure Monitoring
IoT Analytics & Predictive Maintenance
Machine Learning & AI
Satellite Telemetry Monitoring
Battery Energy Storage Systems
Modern Data Historian

INDUSTRIES

Manufacturing & IIoT
Aerospace
Energy & Utilities
Financial Services
Telecommunications

LeoLabs Secures Low Earth Orbit with InfluxDB

See How
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BUILD

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Contact Us

Building a Hybrid IoT Architecture with InfluxDB

Session Date: Dec 04, 2025
Time: 8:00am (PT) | 4:00pm (GMT)

In this two-hour hands-on virtual training session, you will learn how to build an IoT application using InfluxDB and Telegraf while collecting data from edge devices using an MQTT broker. We will start by showing you how to set up an instance of InfluxDB and Telegraf on an edge device to ingest sensor data via an MQTT Broker. Then, to highlight our new edge replication feature, you will move on to downsampling the data to send on to an InfluxDB Cloud instance. Next, you will learn how to utilise the new FlightSQL plugin for Grafana to query InfluxDB Cloud and create some interesting visualizations that show the power of geolocation and time series data. This course is rich in hands-on learning and additional resources to support your education experience with InfluxDB University. In this course, you will get your hands on all the basics, including querying, connecting to, storing, and analyzing data.

Prerequisites:

  • A basic knowledge of programming concepts such as using the command line.
Don’t want to wait? You can watch a previously recorded session here.
featured speaker

Anais Dotis-Georgiou

Product Manager, InfluxData

Anais Dotis-Georgiou is a Product Manager for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

Session Registration

Coming soon! Our webinar just ended. Check back soon to watch the video.

 

 

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