InfluxData

San Francisco, CA, USA
2012
May 20, 2022   |  By Jason Myers
Prescient Devices focuses on changing the way businesses think about and use edge data and industrial IoT. The company built Prescient Designer, an edge data solutions platform that gives organizations the boost they need to transform their IT/OT processes. Prescient’s products empower data engineers, system integrators, and innovators to easily design and orchestrate edge-to-cloud data solutions.
May 11, 2022   |  By Anais Dotis-Georgiou
There are multiple ways to use Flux to bring in data from a variety of different sources including SQL databases, other InfluxDB Cloud Accounts, Annotated CSV from a URL, and JSON. However, previously you could only manually construct tables from a JSON object with Flux as described in this first example. We’ll describe how to work with three examples with increasingly complex JSON types. First we will describe how to work with these JSON types with metasyntactic examples.
May 5, 2022   |  By Community
MQTT is a standard messaging protocol used for the Internet of Things (IoT) because it requires minimal resources and can be executed by small microcontrollers found in connected devices. IoT devices have a real need for this type of lightweight protocol because it guarantees fast and reliable communication with minimal hardware requirements, keeping power consumption and manufacturing costs low.
Apr 26, 2022   |  By Anais Dotis-Georgiou
If you’re a 1.x user of InfluxDB, you might be a Kapacitor user as well. If so, you’re also familiar with TICKscripts, the data processing and transformation language for Kapacitor, the batch and stream processor for InfluxDB. Kapacitor is a great tool, but it’s largely a black box, so using and implementing TICKscripts to execute data processing tasks, checks, and notifications can be a challenging developer experience.
Apr 25, 2022   |  By Jay Clifford
In Part 1 of this series, we started to compare the uses of Kafka and MQTT within an IoT infrastructure. It was concluded that in a basic publish-and-subscribe model of an IoT device, Kafka might simply be overkill.
Apr 20, 2022   |  By Jay Clifford
With the Kafka Summit fast approaching, I thought it was time to get my hands dirty and see what it’s all about. As an advocate for IoT, I heard about Kafka but was too embedded in protocols like MQTT to investigate further. For the uninitiated (like me) both protocols seem extremely similar if not almost competing. However, I have learned this is far from the case and actually, in many cases, they complement one another.
Apr 18, 2022   |  By Darin Fisher
Keeping your systems secure is a never-ending challenge. Not only is it necessary to monitor and secure your own tech stack, but each new service a company uses creates another potential avenue for bad actors to try to exploit for their own ends.
Apr 13, 2022   |  By Brian Gilmore
The industrial revolution was a watershed period in human history. The shift from piecemeal, cottage-industry work to mechanized manufacturing transformed the way humans work. Since the 18th century, successive waves of innovation, such as the assembly line and the computer, continued to alter and change the nature of manufacturing. Today, we find ourselves in the midst of another industrial transformation.
Apr 12, 2022   |  By Samantha Wang
Many Telegraf and InfluxDB users often spend a lot of time finding that perfect balance of getting the data they want in while not writing in too much data that they have to deal with unnecessary data in their database. This blog post will give you a better understanding of Telegraf’s data collection settings and help you fine-tune your configuration.
Apr 11, 2022   |  By Charles Mahler
This article was originally published in The New Stack. As the technology landscape continues to change at a rapid pace, enterprise companies are in a rush to catch up and modernize their legacy IT and network infrastructure to capture the benefits of newly developed tools and best practices. By adopting modern DevOps techniques, they can reduce their operational costs, increase the reliability of their services and improve the overall speed and agility at which their IT teams are able to move.
May 19, 2022   |  By InfluxData
Telegraf has over 300 plugins available in four different categories. Here, developer Mya Longmire talks about two of those categories, aggregators and processors, covering what they do and how to use them.
May 19, 2022   |  By InfluxData
MQTT is one of the most common protocols used in IoT and IIoT. Here, Brian Gilmore and Mya Longmire talk discuss some MQTT basics, how to use MQTT with InfluxDB, and some of the advantages that combining MQTT and InfluxDB bring to IoT and IIoT tech stacks.
May 18, 2022   |  By InfluxData
Flux language developer Jonathan Sternberg demonstrates some query performance optimizations being made under the hood that make Flux faster for some of the most common use cases
May 18, 2022   |  By InfluxData
Flux language developer Jonathan Sternberg demonstrates more performance improvements being made to common Flux query functions to make working with large datasets much faster
Apr 21, 2022   |  By InfluxData
Flux Queries are scripts that let you work with your data in InfluxDB. Here, Scott Anderson provides some tips for optimizing Flux queries, so that your data and applications are more performant.
Apr 21, 2022   |  By InfluxData
Functions are the building blocks of the Flux scripting language. Here, Scott Anderson describes what Flux functions are, how they work, and how to use them.
Apr 21, 2022   |  By InfluxData
Flux is the native data language for the InfluxDB platform. Here, Scott Anderson discusses the 'stream of tables' concept, how that relates to Flux's data structure.
Apr 21, 2022   |  By InfluxData
InfluxDB has a feature that lets users invoke scripts using its API. Here, Jay Clifford explains how to use this feature with custom endpoints to improve the functionality, efficiency, and security of your applications.
Apr 21, 2022   |  By InfluxData
Client libraries are a powerful way to harness the power of InfluxDB's API using familiar programming languages. Here, Jay Clifford explains what client libraries are, how they work, and why you should use them when working with InfluxDB.
Apr 21, 2022   |  By InfluxData
In another video, Zoe Steinkamp discussed what checks and notifications in InfluxDB are. Here, she uses a real world example to demonstrate how and when to use the different types of checks and notifications available in InfluxDB.
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.