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PID Controllers and InfluxDB: Part 2 - Digital Twin

Aug 29, 2024 | influxdata.com | Anais Dotis-Georgiou

In a previous post, we described a CSTR and a PID controller. This post will cover the code and architecture of the digital twin from this project repo. The project leverages Kafka for data streaming, Faust for data processing, InfluxDB for storing the time series data, and Telegraf for writing data from the topic to InfluxDB. We’ll also cover the advantages and disadvantages of this stack. The corresponding repo for this blog post can be found here.
PID Controllers and InfluxDB: Part 1 - Background

Aug 27, 2024 | influxdata.com | Anais Dotis-Georgiou

In the fast-evolving chemical industry, maintaining precise control over Chemical reactors like a continuous stirred-tank reactor (CSTRs) is paramount to ensuring optimal performance and product quality. This blog post delves into integrating advanced data tools and techniques to achieve this control. We’ll explore how to leverage InfluxDB, Kafka, and Faust streaming, along with Telegraf, to effectively model and manage a CSTR and its PID controller (Proportional-Integral-Derivative Controller).
Expert Panel Recap: Operational Excellence with IIoT and Advanced Analytics

Jan 24, 2024 | influxdata.com | Jason Myers

About the sessionThis panel covered the use of Internet of Things (IoT) and advanced analytics in manufacturing. The panelists discussed the importance of machine data, the challenges of collecting and analyzing this data, using advanced analytics and machine learning in industrial processes, and future trends in this area. They also examined the role of time series data in manufacturing and how it can drive operational excellence.
Mage for Anomaly detection with InfluxDB and Half-space Trees

Nov 10, 2023 | influxdata.com | Anais Dotis-Georgiou

Any existing InfluxDB user will notice that InfluxDB underwent a transformation with the release of InfluxDB 3.0. InfluxDB v3 provides 45x better write throughput and has 5-25x faster queries compared to previous versions of InfluxDB (see this post for more performance benchmarks). ETL with InfluxDBWe also deprioritized several features that existed in 2.x to focus on interoperability with existing tools. The task engine is one of the deprioritized features that existed in InfluxDB v2.
Flight, DataFusion, Arrow, and Parquet: Using the FDAP Architecture to build InfluxDB 3.0

Oct 25, 2023 | influxdata.com | Andrew Lamb |Jason Myers |Charles Mahler |Paul Dix

This article coins the term “FDAP stack”, explains why we used it to build InfluxDB 3.0, and argues that it will enable and power a generation of analytics applications in the same way that the LAMP stack enabled and powered a generation of interactive websites (by the way we are hiring!). BackgroundWhen he announced the InfluxDB IOx project, InfluxData founder Paul Dix effectively bet that the FDAP stack would form the future foundation of analytic systems.
The Advantage of Cold Storage in InfluxDB

Oct 18, 2023 | influxdata.com | Jason Myers

Imagine, if you will, having hundreds of devices that you need to monitor. All these devices generate data at sub-second intervals, and you need all that high fidelity data for historical analysis to feed machine learning models. Storing all that data can get really expensive, really fast. When that happens, you must decide what’s more important: keeping all your data or sacrificing insights and analysis. It may not be a big stretch of the imagination for many readers.
An Introduction to Stream Processing

Oct 13, 2023 | influxdata.com | Charles Mahler

This article was originally published on The New Stack and is reposted here with permission. In the field of big data analytics, stream processing has emerged as a crucial paradigm, reshaping how businesses interact with data. But what is stream processing and why are more businesses using it? Stream processing is a method of continuously ingesting, analyzing and acting on data as it’s generated.
Getting Started with Infrastructure Monitoring

Oct 11, 2023 | influxdata.com | Charles Mahler

This article was originally published on The New Stack and is reposted here with permission. By taking advantage of monitoring data, companies can ensure their infrastructure is performing optimally while reducing costs. While building new features and launching new products is fun, none of it matters if your software isn’t reliable. One key part of making sure your apps run smoothly is having robust infrastructure monitoring in place.
A Long Time Ago, on a Server Far, Far Away…

Oct 9, 2023 | influxdata.com | Jason Myers

This article was originally published on The New Stack and is reposted here with permission. Here is a brief case study that explores the logistics and motivations that would lead a successful company to spend time and resources completely rewriting the core of their flagship product in Rust. Calling a programming language Rust almost seems like a misnomer. Rust is the brittle byproduct of corrosion — not something that would typically inspire confidence.
Build a Home Internet Speed Test with Grafana and InfluxDB

Oct 3, 2023 | influxdata.com | Jessica Lynne Wachtel

This post was originally published on The New Stack and is reposted here with permission. A tutorial on how to use time series data to test your home internet speeds. Time series data is ubiquitous in everyday life. Collecting, storing and analyzing time series data provides clarity and insight on just about anything. Time series data exists in outer space and inside your home.