InfluxData

San Francisco, CA, USA
2012
Sep 21, 2021   |  By Brian Gilmore
With Industry 4.0 fundamentally transforming manufacturing systems and processes through IIoT technologies, manufacturers large and small are seeking the most efficient ways to reap its benefits. Potential gains include optimizing operations, generating data-driven insight, creating new revenue streams, and accelerating innovation. To paint the big picture, let’s start with a definition of Industry 4.0, followed by an explanation of what adopting it involves.
Sep 20, 2021   |  By Anais Dotis-Georgiou
InfluxData prides itself on its effort to prioritize developer happiness. This included providing developers with a variety of tools to interact with InfluxDB v2 OSS or InfluxDB Cloud, so they can pick the development style that works best for them. This article assumes you’re using the InfluxDB Cloud Free tier, which is the easiest way to get started and maintain InfluxDB. You can use any of the following tools for your IoT application development.
Sep 13, 2021   |  By Community
This article was written by Cameron Pavey, a full-stack dev living and working in Melbourne. Scroll below for this picture and bio. As a developer, it is likely that you will eventually run into a situation where a traditional relational database’s document stores don’t quite cut it. If you need to store points of data over time, you’ll likely need a time series database.
Sep 10, 2021   |  By Michael Hall
Aggregations are a powerful tool when processing large amounts of time series data. In fact, most of the time you’re going to care more about the min, max, mean, count or last values of your dataset than you will about the raw values you’re collecting. Knowing this, InfluxDB and the Flux language make it as easy as possible to run these aggregations, whenever and wherever you need to, and sometimes that leads people to running them in ways that aren’t as efficient as they could be.
Sep 7, 2021   |  By Anais Dotis-Georgiou
If you’re building an IoT application on top of InfluxDB, you’ll probably use a graphing library to handle your visualization needs. Today we’re going to take a look at the charting library, Highcharts, to visualize our time series data with InfluxDB Cloud. However, I also encourage you to take a look at Giraffe, a React-based visualization library that powers the data visualizations in the InfluxDB 2.0 UI.
Aug 26, 2021   |  By Russ Savage
One of the best things about getting started with InfluxDB over traditional relational databases is the fact that you don’t need to pre-define your schema in order to write data. This means you can create a bucket and write data in seconds, which can be pretty powerful to developers who care way more about the application they’re building than the mechanics of storing the data.
Aug 25, 2021   |  By Community
This post was written by James Hickey. Scroll below for full bio and picture following this article. Time series databases (TSDBs) can transform the way you handle streams of data in real time or IoT applications. In this tutorial, you’ll learn how to set one up in a C# application. Relational databases have their place. They’re great at things like data normalization, avoiding duplication, indexing over specific data points (like columns), and handling atomic changes to the schema.
Aug 19, 2021   |  By Russ Savage
Directly embedding passwords and API keys into the code you write is a bad practice. Of course, everyone knows this, but I’ll be the first to admit that it still happens now and then. In the world of source control and shared codebases, leaking a password can be a huge problem that costs your team time and money. Of course, today many companies leverage a secrets management system to lower the probability of something like this happening.
Aug 16, 2021   |  By Anais Dotis-Georgiou
So you’re interested in time series databases, and you decided to explore InfluxDB Cloud or InfluxDB v2. Perhaps you just created a free account or downloaded the binary, and now you’re playing around with the InfluxDB User Interface (UI) and learning Flux. The hardest thing for beginners to understand are the return results from a Flux query or Annotated CSV.
Aug 9, 2021   |  By Russ Savage
Adding annotations to your data is a great way to share context with other members of your team. In May, we added the ability to annotate individual points in your data. Today, we have added the ability to add ranged annotations to your dashboard graphs. We’ve also reworked some of the interactions with annotations based on user feedback so that they can be added quickly and easily. To learn more about working with annotations, check out our documentation.
Sep 21, 2021   |  By InfluxData
Are you looking for a low-code platform to help you get the most out of your time-stamped data from servers, sensors and systems? Find out if the InfluxDB time series platform is right for you.
Sep 8, 2021   |  By InfluxData
InfluxDB IOx Tech Talks - Observability of InfluxDB IOx: Tracing, Metrics and System Tables. The September 2021 edition of InfluxDB IOx Tech Talks is now available to watch on-demand. InfluxDB IOx Tech Talks are cone-hour community sessions that provide a chance to interact directly with Influxers about all things InfluxDB IOx and time series and a chance to get your questions answered in the live Q&A.
Aug 19, 2021   |  By InfluxData
This video demonstrates how to quickly build a dashboard to monitor a Windows system. The dashboard shows various metrics like uptime, processor and memory utilization, disk IO, network, etc. All the values are stored in InfluxDB for advanced analysis using full history. This video shows a whole end-to-end process that only takes 5 minutes. It begins with the Windows template installation and Telegraf agent installation and configuration that captures all the metrics from the monitored machine(s).
Jul 14, 2021   |  By InfluxData
InfluxDB IOx Tech Talks: Impacts of Sharding, Partitioning, Encoding, and Sorting on Distributed Query Performance.
Jun 9, 2021   |  By InfluxData
InfluxDB IOx Tech Talks: Performance Profiling in Rust.
May 24, 2021   |  By InfluxData
In this talk, Aengus Rooney from Grafana Labs provides a Grafana and InfluxDB update.
May 24, 2021   |  By InfluxData
Learn how you as a developer can use our InfluxDB Cloud web interface to ingest, explore, analyze, and understand your data. We highlight new capabilities and show you some tips and tricks to get the most out of the InfluxDB Cloud Platform.
May 19, 2021   |  By InfluxData
Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.
May 17, 2021   |  By InfluxData
Data from sensors and systems flows in from a myriad of sources in industrial settings. In this session, learn how to combine the power of InfluxDB with IoT tools and cloud resources from AWS to extract the most value out of your IoT data. We’ll also be sharing some real-world examples of how customers are using these combined solutions to gain a competitive edge.
May 11, 2021   |  By InfluxData
David Henthorn [Rose-Hulman Institute of Technology] | Illuminating the Dark Data of Critical Infrastructure | InfluxDays EMEA 2021
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.