InfluxData

San Francisco, CA, USA
2012
Mar 5, 2021   |  By Sam Dillard
Data platforms — or databases with sets of APIs for flexibly working with data — are quintessential backbones for those who rely heavily on being able to change how they obtain data and work with their data over time. A good data platform will provide you the necessary tools to glean the insights you need to solve tangible problems. That platform should also hopefully make it so you don’t have a bad time doing it!
Feb 26, 2021   |  By Paul Dix
I was recently on the Changelog Podcast talking about Elastic’s recent change away from open source licensing. I’m at 1:02:45 to 1:24:03, but the whole thing is pretty interesting if you have time to listen. This is where #InfluxDB is headed. No more open core, we're going to a combination of cloud offering, or if on-premise, a complementary offering to the open source. It'll take us time to get there, but that's the vision. Commercial complements the open source rather than replace.
Feb 24, 2021   |  By Ignacio Van Droogenbroeck
I’ve always had a good experience using DigitalOcean, a cloud infrastructure provider which offers developers cloud services that help deploy and scale applications that run simultaneously on multiple computers. I’ve used DigitalOcean a lot for my personal projects — for example, to host my personal blog, its stats, and a NextCloud instance, all running in Kubernetes.
Feb 23, 2021   |  By Nigel Griffiths
Currently, there is no official InfluxDB C language client library. Fortunately, I wanted to do exactly that for capturing Operating System performance statistics for AIX and Linux. This data capturing tool is called “njmon” and is open source on Sourceforge. So having worked out how and developing a small library of 12 functions for my use to make saving data simple, I thought I would share it. I hope it will prove useful for others.
Feb 22, 2021   |  By Community
This article is a re-post of the article written by Matthew Gregory and published on the Ockam blog. Let’s investigate how to build applications with trusted time series data in a zero trust environment! To trust an application we need to trust the data that feeds into it. Increasingly, applications rely on time series data from outside the datacenter, at the edge, or in IoT. This means we need to think of trust and data in new ways.
Feb 17, 2021   |  By Russ Savage
One of the great things about InfluxDB is that it is really easy to get up and running, and it doesn’t require much monitoring when you are dealing with datasets that fit well on your local dev machine. Once you start using InfluxDB in production and pushing orders of magnitude more data into the system, it’s critical to monitor how your instance is performing so that you can proactively respond to things like disk or network failures, memory saturation, and write or query loads.
Feb 16, 2021   |  By Al Sargent
Here at InfluxData, we’ve been focusing recently on deepening our support for Microsoft Azure. First we turned on InfluxDB Cloud on Azure West Europe, in Amsterdam, back in July. Then we launched InfluxDB Cloud on Azure East US, in Virginia, in September. Today, we’re pleased to announce that InfluxDB Cloud joins InfluxDB Enterprise on Azure Marketplace.
Feb 11, 2021   |  By Anais Dotis-Georgiou
If you didn’t already know, one of the perks of InfluxDB 2.0 is having access to templates. InfluxDB templates allow you to easily apply a variety of preconfigured resources including Telegraf configurations, buckets, dashboard, tasks, and alerts to your InfluxDB instance. In this TL;DR we’ll walk through the easiest way to use and create a template.
Feb 9, 2021   |  By Nikki Attea
In the real world, if your observability pipeline goes down, you may not receive vital alerts for the system that’s being monitored. To solve that problem, I looked to Sensu Go internally, and decided to utilize the /metrics API endpoint that advertises Prometheus metrics. This is how I conceptualized the Sensu Go Monitoring Template, an InfluxDB Template, by simply posing the question: “How do you monitor your monitoring solution?”
Feb 4, 2021   |  By Gene Hynson
During an InfluxData internal hackathon, I was looking to work on a project that would help me strengthen my Telegraf and Flux skills. I also wanted to use InfluxData’s Giraffe to visualize my project in a React application. After reading Sean Brickley’s blog post on tracking the International Space Station with InfluxDB, I was inspired to build on this idea.
Jan 22, 2021   |  By InfluxData
Notebooks is currently an early-access feature on InfluxDB Cloud. Notebooks let you create documents with live code, equations, visualizations and explanatory notes and save outputs as dashboards or schedule to repeat as tasks. Downsample data to reduce the overall disk usage as data collects over time.
Jan 22, 2021   |  By InfluxData
Notebooks is currently an early-access feature on InfluxDB Cloud. Notebooks let you create documents with live code, equations, visualizations and explanatory notes and save outputs as dashboards or schedule to repeat as tasks. In this video, you will learn how to:
Jan 14, 2021   |  By InfluxData
Since the rise of Kubernetes, GitOps workflows have become the standard way for teams to manage the state of large systems. GitOps is a way to perform application management and delivery, which at its core leverages a version control system to maintain the desired state of the system. Being able to describe the desired state using human readable text files, and allowing automation to handle deployments and updates based on those files, means less opportunity for human error and faster deployments.
Jan 13, 2021   |  By InfluxData
InfluxDB IOx Tech Talks: The Data Lifecycle in InfluxDB IOx and How it Uses Object Storage for Persistence
Dec 14, 2020   |  By InfluxData
Learn how to use Telegram as your notification endpoint with telegram.message() for custom Tasks and Alerts.
Dec 9, 2020   |  By InfluxData
InfluxDB IOx Tech Talks: A Rusty Introduction to Apache Arrow and How it Applies to a Time Series Database Paul Dix and Andrew Lamb provide an update on InfluxDB IOx and live Q&A.
Nov 30, 2020   |  By InfluxData
Learn how you can monitor your system metrics by automatically configuring Telegraf in InfluxDB Cloud. Be sure to sign up from InfluxDB Cloud and download Telegraf prior to following this demonstration.
Nov 12, 2020   |  By InfluxData
In this talk, Tim will review the roadmap and will cover what you can expect in the future in terms of InfluxDB and Flux capabilities.
Nov 12, 2020   |  By InfluxData
In this session, Ronald shows a few new features of Grafana 7, focusing on the new native Flux query support in Grafana. He shows you how you can query with both Flux and the older InfluxQL support, using both side by side to ease migration. As a bonus, you see how to combine Flux queries with other data to perform advanced analytics and joins to truly understand your entire environment!
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.