InfluxDB community

InfluxData is proud to share the InfluxDB community’s achievements. Members’ enthusiasm and accomplishments with our time series platform can help inspire your own projects. See how our community members use InfluxDB in amazing and exciting ways!

Welcome to the InfluxDB community

We’re glad you are here. Our community is made up of great people. Learn, collaborate, and contribute.

Learn about the InfluxAces

InfluxAces share their knowledge, contribute to open source, and are experts in all things InfluxDB.

Discover the time series meetups

Our time series meetups are for everyone interested time series data and how it can be used.

What's hot

Looking to get involved with the InfluxDB community? With InfluxDays, time series meetups, webinars and workshops, there are lots of events happening around the globe and throughout the year.

Community Office Hours

Register to join us for our monthly Community Office Hours. This is your chance to interact directly with Influxers who are available to answer your questions about all things InfluxDB and time series.

February 19, 2020 / 10 am PST
@ via Zoom

Register now

Conference: Bosch Connected World 2020

Meet our developers at Bosch Connected World 2020 - the IoT and digital transformation conference in Berlin, Germany.

February 19, 2020
@ STATION-Berlin Luckenwalder Str. 4-6 10963 Berlin Germany

Register now

Conference: Devopsdays Charlotte

Meet our developers at Devopsdays Charlotte Conference

February 27, 2020
@ Charlotte - Red Ventures Auditorium, 1101 Red Ventures Drive, Indian Land, SC 29707

Register now

Meetup: Time Series Paris

Come join us at the Paris Time Series Meetup. For this third edition, we continue our discovery of the time series ecosystem. Solutions Architect at RedisLabs François Cerbelle will talk about “Redis’ performance at the service of time series”, and Steven Leroux and Aurélien Hebert will talk about “Introducing TSL project”.

March 25, 2020
@ OVH P17, 19 Place Françoise Dorin, 75017 Paris, France

Register now

See how the community is using InfluxDB

How To Setup Telegraf InfluxDB and Grafana on Linux

From all the existing modern monitoring tools, the TIG (Telegraf, InfluxDB and Grafana) stack is probably one of the most popular ones.

njmon + InfluxDB + Grafana Series 5: 1st njmon graphs

This video covers the creation of a basic CPU Utilisation graph (for User, System, Wait and Idle) including stacking. A quick look at other simple graphs type: bar and points. Then move on to adding a pie chart for memory, changing colours, a Single-Stat box and a comment box. Finally, changing the UI Theme to dark (was Light). Finally, a quick tour of the other simple buttons and options like duplicating or removing a graph panel, saving your dashboard (just in case you mess up) and logging out.

Tutorial: How to quickly deploy a TIG stack using Puppet Bolt

One key to maintaining reliable systems is having a reliable monitoring setup. A common set of software used for monitoring is the TIG stack: Telegraf, InfluxDB, and Grafana. Telegraf collects, processes, and aggregates system metrics such as CPU usage, Disk IO, and network throughput. InfluxDB stores that data in a way that has fast read/writes with scaling built-in. Grafana allows you to visualise the data in simple, flexible, and granular dashboards. Learning, installing, and configuring these components involves time, coordinating multiple steps, and understanding how they all fit together. Luckily, there’s Bolt.

Monitoring Room Temperature for your Brew with Pi, InfluxDB, Grafana and IFTTT

Recently, I have started brewing my own beer. My wife bought me a 1 gallon kit for Father’s Day so I could dive right in and start learning the craft beer brewing process. It is something that I have always been interested in learning but never took the time and space has been limited. The whole beer making process has always intrigued me and is something that is way out of my element.

Monitoring your UPS stats and cost with InfluxDB and Grafana on Unraid – 2019 Edition

I recently discovered the atribe/apcupsd-influxdb-exporter container on the CA plugin page and immediately thought it would be a great replacement for the script that I run, described in this post. But time got in the way and I forgot about it. But now the summer is here, the days are longer and free time is no longer a rarity. So this will be a quick follow up post on how to switch to this container and get even more accurate readings!

Monitor power usage and other parameters of Linux server

This weekend I decided to exchange my 8 year old i3 laptop with a desktop. I was offered an HP elite 8300 small form factor desktop in exchange of laptop and 7000 Rs. So far I was using raspberry pi 3 for hosting web based apps and running some other programs 24×7. I mainly opted for pi boards due to low power consumption and convenience of throwing them anywhere in home.

How to setup Grafana, InfluxDB and Telegraf to monitor your unRAID system.

I have for some time shared my Unraid System dashboard over at Grafana.com but never really had the time to make a quick write up on how to set it all up. So this will try to do just that. This guide will make it so you will be able to monitor cpu usage, cpu temps, network stats, ram usage and much more by simply importing a dashboard.

Streaming analysis with Kafka, InfluxDB and Grafana

If you are dealing with the streaming analysis of your data, there are some tools which can offer performing and easy-to-interpret results. First, we have Kafka, which is a distributed streaming platform which allows its users to send and receive live messages containing a bunch of data (you can read more about it here). We will use it as our streaming environment. Then, if we want to visualize, in real time, our results, we need a tool which can capture our data and predictions: it is Grafana, and among its data sources, it can be connected to InfluxDB, an open source time series database. So, through this article we will build an ML algorithm which can extract information and make predictions, in real time, on our data, throughout the following steps:

En busca del Dashboard perfecto: InfluxDB, Telegraf y Grafana – Parte XVII – Mostrando los Dashboards en dos monitores usando Raspberry Pi 4

In this post I will show you the step by step how to be able to visualize our Dashboards, if you have followed the whole series, you will already have about 16 Dashboards, dynamically and in two monitors using a Raspberry Pi 4 Model B.

Easily Migrate Postgres/MySQL Records to InfluxDB

Computers have been collecting and storing data in relational/schema systems for many years. However, digital storage growth outpaces that of computing processing power by leaps and bounds. Additionally, the amount of unstructured that is collected greatly exceeds that of structured data, further limiting the utility of tradional database systems. For these reasons, today’s data storage technqiues call for some new technical constructs required to break the boundaries of traditional transaction-processing databases.

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