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InfluxDB Cloud Serverless

Fully managed, elastic, multi-tenant service

InfluxDB Cloud Dedicated

Fully managed, single-tenant service

On-Premises

InfluxDB Enterprise

Self-managed database for on-prem or private cloud deployment

Solutions

InfluxDB by Use Cases

Network monitoring IoT Monitoring and Analytics SaaS Operational Monitoring
Explore more

InfluxDB by Industries

Manufacturing Telecommunications Energy and Utilities 
Explore more

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Customers Become an InfluxDB Inventor
Explore more
Developers

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Documentation Blog InfluxDB University 

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InfluxDB OSS Telegraf Community

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Building a Hybrid Architecture with InfluxDB

Session date: Jun 30, 2022 08:00am (Pacific Time)

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 build notebooks that you can share with others as well as some checks and alerts and 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.
featured speaker

Jay Clifford

Developer Advocate, InfluxData

Jay Clifford is a Developer Advocate for InfluxData. Before joining InfluxData he previously specialised in solving industrial pain points using Vision AI and OT connectivity. Jay now uses his experience within the IoT and automation sector to enable developers and industrial customers alike to realise the potential of Time Series data and analytics.

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