In this tutorial, we’ll use the BIRCH (balanced iterative reducing and clustering using hierarchies) algorithm from scikit-learn with the ADTK (Anomaly Detection Tool Kit) package to detect anomalous CPU behavior. We’ll use the InfluxDB 2.0 Python Client to query our data in InfluxDB 2.0 and return it as a Pandas DataFrame. This tutorial assumes that you have InfluxDB and Telegraf installed and configured on your local machine to gather CPU stats.
When you want to spot hosts, applications, containers, plant equipment, or sensors that are behaving differently from others, you can use the Median Absolute Deviation (MAD) algorithm to identify when a time series is “deviating from the pack”. In this tutorial, we’ll identify anomalous hosts using mad() — the Flux implementation of MAD — from a Third Party Flux Package called anaisdg/anomalydetection.
The fleet management industry has been quick to embrace technology. They want to understand the current state of vehicles and drivers to improve operations and safety. Data privacy laws are especially important as fleet managers expand their reach into new territories. WayKonnect is using InfluxDB Enterprise to improve the fleet management industry.
This article was written by Gregory Scafarto, Data Scientist intern at Supralog, in collaboration with InfluxData’s DevRel Anais Dotis-Georgiou. At InfluxData, we pride ourselves on our awesome InfluxDB Community. We’re grateful for all of your contributions and feedback. Whether it’s Telegraf plugins, community templates, awesome InfluxDB projects, or Third Party Flux Packages, your contributions continue to both impress and humble us.
In a factory environment, collecting data to gain useful insights from various sources is challenging because it requires connecting to many different types of automation systems, plcs and devices that often speak different languages. This is the problem that German industrial software company, inray (specialized in data communication between software systems and components in Industry 4.0, IoT and IIoT) set out to solve for its customers.
The larger an enterprise becomes, the more systems and applications there are to monitor, and the more scalable its monitoring system has to be to keep up with business growth. This is the challenge that RingCentral — which provides cloud-based communications and collaboration solutions for businesses — faced and solved.
We released a new Modbus input plugin in Telegraf 1.14 and in this blog I’d like to tell you more about that plugin and how you can use it. Modbus is a messaging protocol for industrial devices that was developed by Modicon (now Schneider Electric) for main-secondary communication between these intelligent devices. It has become an ideal protocol for remote terminal units (RTUs) where wireless communication is necessary.
In a previous post, I demonstrated how to call InfluxDB APIs from AWS Lambda, but the setup is fairly manual and the results are not portable. Ideally, we as a community can expand and share ways to collect and process time series data. To that end, I want to share a CloudFormation template. CloudFormation is AWS’ infrastructure as code service that lets you define almost any AWS component in a configuration file.
EnerKey’s CTO Martti Kontula recently presented on how EnerKey uses InfluxDB Enterprise and Microsoft Azure to power their IoT platform which enables their customers to save millions of euros! Their analytics platform uses sensor data to detect energy usage fluctuations triggered by weather and geospatial data. If you missed attending the live session, we have shared the recording and the slides for everyone to review and watch at your leisure.
When the stakes are high, every decision is only as good as the information behind it. With the right information, enterprises and vital sectors can confidently make informed decisions. Data becomes a foundation for action — and a source of differentiation. But how do you store the relentless influx of data — especially since data storage costs, amplified by the risk of data loss, are among the top hurdles facing organizations today?
