InfluxData

San Francisco, CA, USA
2012
Jan 18, 2022   |  By Jay Clifford
Telegraf has reached the ripe old age of V1.21.2. Thanks to community feedback and contribution, there have been many features added over the years. Lately, I have seen these questions pop up. If any of these questions plague your mind, have no fear — this blog is here to help! Here are my golden rules for maintaining best practices when building your Telegraf solution.
Jan 14, 2022   |  By Jason Myers
Production delays or stoppages are the bane of any manufacturer. When you’re a global automaker like Volvo, even the smallest delays can have significant ripple effects. But not even global leaders are immune to IT issues. This was the situation Volvo faced several years ago. It had a legacy DevOps monitoring solution in place for the previous 15–20 years, but that system no longer met the company’s needs. On the surface, it seems like a robust system.
Jan 13, 2022   |  By Jason Myers
HighByte is an industrial software company based in Portland, Maine building Industry 4.0 based solutions that address the data architecture and integration challenges inherent in manufacturing. The company developed the first DataOps solution purpose-built to meet the unique requirements of industrial assets, products, processes, and systems at the Edge.
Jan 12, 2022   |  By Lyndal Cairns
When your production line runs at nearly 100 percent capacity, even a momentary blip can cost your organization a packet. That’s why Texas Instruments is using InfluxDB to monitor its manufacturing operation and detect problems before they become costly.
Jan 11, 2022   |  By Balaji Palani
InfluxDB Cloud allows users to create API tokens that are used for authentication and authorization to sets of resources when interacting with our API. We recently made changes to the user interface so that after generating a token, you will need to immediately store it in a secure vault of your choosing for safekeeping. We made this change to conform to industry best practices around both token generation and retrieval.
Jan 7, 2022   |  By Charles Mahler
In this tutorial, you will learn how to create a custom data visualization with ReactJS using the Recharts charting library to display time series data stored with InfluxDB. To do this you will store some real-time data being recorded by some IoT sensors which record the temperature, humidity, and carbon monoxide levels of a room.
Jan 6, 2022   |  By Charles Mahler
In an increasingly data-driven world, the ability to summarize and display data while making it easy to understand and actionable is more important than ever. Dashboards appear in all types of software with various approaches behind their design. Despite how they differ in appearance and the information they display, at a conceptual level all dashboards have the same goal and purpose.
Jan 5, 2022   |  By Charles Mahler
AWS Lambda is a serverless compute service that allows you to run code without having to manage servers. Lambda provides autoscaling and bills only on compute time, so you aren’t paying for unused resources. Some common use cases are file processing, stream processing, and acting as a backend for web and mobile applications. AWS Lambda functions can be invoked with external HTTP requests as well as by events triggered by over 200 different AWS services.
Jan 4, 2022   |  By Oluwaseun Raphael Afolayan
Scroll down for the author’s photo and bio. Time series databases like InfluxDB index data by time. They are efficient at recording constant data streams like server metrics, application monitoring, sensor reports, or any other data containing a timestamp. The structure makes analyzing change over time a breeze. This tutorial will show you how to set up InfluxDB with a sample Ruby application.
Dec 20, 2021   |  By Sam Dillard
Buckle up, this one isn’t short…but I’m hoping it will be thoroughly informative! This post is about Telegraf as a consumer of MQTT messages in the context of writing them to InfluxDB. If you are interested in and unfamiliar with Telegraf, you can view docs here. Unsure if Telegraf aligns with your needs? I make a case for it in the Optimizing Writes section of this blog post. It may also help to have an understanding of Line Protocol, InfluxDB’s default accepted format.
Jan 4, 2022   |  By InfluxData
Tasks are a great way to automate processes in InfluxDB. Here, Greg Linton and Rick Spencer discuss the different types of tasks available in InfluxDB, walkthrough an example of a task, and highlight several of the options available to developers to customize their tasks.
Jan 4, 2022   |  By InfluxData
InfluxDB can do a lot of great things with your data. But how do you actually get your data into InfluxDB? Here, Barbara Nelson and Rick Spencer discuss the different ways to ingest data into InfluxDB and the advantages of each one.
Jan 4, 2022   |  By InfluxData
The InfluxDB data model is made up of measurements, tags, and fields. This model constitutes the shape InfluxDB expects from data. Here, Jacob Marble discusses what each of those components are, and how to use them with InfluxDB.
Jan 4, 2022   |  By InfluxData
Flux is a powerful scripting and querying language that allows you to do more with your time series data. Here, Paul Hummer discusses some of the basic functions and concepts for getting started with Flux, and explains how to write a simple Flux query.
Jan 4, 2022   |  By InfluxData
Flux is a scripting and querying language developed by InfluxData to work with time series data. Here, Paul Hummer and Rick Spencer discuss why InfluxData created Flux and how it helps developers do more with their time series data.
Jan 4, 2022   |  By InfluxData
Understanding the way in which InfluxDB's Time Structure Mergetree (TSM) engine stores data on disk can help you design better solutions using your time series data. Here, Jacob Marble goes over what the TSM engine is and he walks through an example that shows what data points look like when stored on disk in this format.
Jan 4, 2022   |  By InfluxData
Telegraf is an open-source data collection agent by InfluxData. Here, Samantha Wang and Barbara Nelson cover the basics of what Telegraf is, how it works, and how it simplifies data collection.
Nov 30, 2021   |  By InfluxData
InfluxData founder and CTO Paul Dix explains what 'Time to Awesome' means and why it's such an important concept for InfluxDB and developers in general.
Nov 22, 2021   |  By InfluxData
InfluxDB Developer Zoe Steinkamp discusses how to use InfluxDB and Telegraf to quickly build an IoT monitoring application.
Nov 22, 2021   |  By InfluxData
InfluxData founder and CTO Paul Dix explains what 'Time to Awesome' means and why it's such an important concept for InfluxDB and developers in general.
Sep 18, 2018   |  By InfluxData
Everything related to how IT services are delivered and consumed is undergoing tremendous change. Monolithic architectures are being replaced by microservices-driven apps and the cloud- based infrastructure is being tied together and instrumented by DevOps processes.
Sep 1, 2018   |  By InfluxData
Companies are committed to delivering on higher levels of customer satisfaction for their online services. Unfortunately, many organizations trying to support these initiatives take an interrupt-driven approach where they scramble to fix things when they break. However, to manage to these high levels of SLAs, you should take a structured approach in order to reduce the amount of unscheduled downtime by proactively monitoring and managing your systems.
Aug 1, 2018   |  By InfluxData
This paper reviews how an IoT Data platform fits in with any IoT Architecture to manage the data requirements of every IoT implementation. It is based on the learnings from existing IoT practitioners that have adopted an IoT Data platform using InfluxData.
Jul 1, 2018   |  By InfluxData
In this technical paper, we’ll compare the performance and features of InfluxDB 1.4.2 vs. Elasticsearch 5.6.3 for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jun 1, 2018   |  By InfluxData
In this technical paper, we’ll explore the aspects of scaling clusters of the InfluxEnterprise product, primarily through the lens of write performance of InfluxDB Clusters. This data should prove valuable to developers and architects evaluating the suitability of InfluxEnterprise for their use case, in addition to helping establish some rough guidelines for what those users should expect in terms of write performance in a real-world environment.
May 1, 2018   |  By InfluxData
In this technical paper, InfluxData CTO – Paul Dix will walk you through what time series is (and isn’t), what makes it different than stream processing, full-text search and other solutions. He’ll also work through why time series database engines are the superior choice for the monitoring, metrics, real-time analytics and Internet of Things/sensor data use cases.
Apr 1, 2018   |  By InfluxData
As the number of metrics collected and acted on increases, developers need a solution that is fast and efficient to keep up with the demands of their solutions. We’ll compare the performance and features of InfluxDB and OpenTSDB for common time series db workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Mar 1, 2018   |  By InfluxData
In this this technical paper, we’ll compare the performance and features of InfluxDB vs MongoDB for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Feb 1, 2018   |  By InfluxData
In this technical paper, we’ll compare the performance and features of InfluxDB and Cassandra for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jan 1, 2018   |  By InfluxData
To help provide a better understanding of how to get the best performance out of InfluxDB, this technical paper we will delve into the top five performance tuning tips for improving both write and query performance with InfluxDB. Topics covered include cardinality, batching, down-sampling, schema design and time-stamp precision.

InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly.

InfluxData provides the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases:

  • DevOps Observability Observing and automating key customer-facing systems, infrastructure, applications and business processes.
  • IoT Analytics Analyzing and automating sensors and devices in real-time delivering insight and value while it still matters.
  • Real-Time Analytics Leveraging the investment in instrumentation and observability—detecting patterns and creating new business opportunities.

Customers turn to InfluxData to build DevOps Monitoring (Infrastructure Monitoring, Application Monitoring, Cloud Monitoring), IoT Monitoring, and Real-Time Analytics applications faster, easier, and to scale.