Cybersecurity in the Industrial Internet of Things (IIoT) is often overlooked despite powering critical infrastructure such as energy grids, telecom networks, factories, robotics, and aerospace, all of which are prime targets for cyberattacks and data breaches. A single breach can disrupt essential services or expose sensitive data. So, how do we stay ahead of bad actors and proactively defend these systems?

As part of the InfluxDB 3 Core and InfluxDB 3 Enterprise public alpha, the Last Value Cache (LVC) is available for testing. The LVC lets you cache the most recent values for specific fields in a table, improving the performance of queries that return the most recent value of a field for specific time series or the last N values of a field, typical of many monitoring workloads. With the LVC, these types of queries return in under 10ms.

Forecasting is all about predicting the future—in data science, it is one of the key skills in dealing with time series data, such as stock price prediction, sales forecasting, logistics planning, etc. In this tutorial, we’ll learn how to forecast the notorious weather pattern of London, UK, using the following free and open source technologies.

This blog covers the nitty-gritty of essential command-line tools and workflows to effectively manage and interact with your InfluxDB 3 Core and Enterprise instances. Whether you’re starting or stopping the server with configurations like memory, file, or object store, this guide will walk you through the process. We’ll also look at creating and writing data into databases using authentication tokens, exploring direct line protocol input versus file-based approaches for tasks like testing.

All machinery and equipment, including their controls and sensors, tell a story through the data they collect. This data, or Industrial Internet of Things (IIoT) data, provides a detailed narrative about the machines, offering actionable insights to improve operations. IIoT data empowers businesses to optimize and enhance industrial processes by detailing operational status, performance metrics, usage patterns, health diagnostics, and environmental conditions.

Two weeks into the alpha release of InfluxDB 3 Core (our new open source offering) and InfluxDB 3 Enterprise (our newest commercial offering), we’ve received a good amount of feedback that the 72 hour limitation in Core is too limiting. This fell into three categories: For the users in category 1, we’re announcing a free tier of InfluxDB 3 Enterprise for at-home, non-commercial use.

Time series data is everywhere—from IoT sensors and server metrics to financial transactions and user behavior. To collect, store, and analyze this data efficiently, you need tools purpose-built for the job. That’s where the TIG Stack comes in: Telegraf for data collection, InfluxDB for storage and analytics, and Grafana for visualization. Together, these tools offer a powerful solution for real-time analytics, observability, and monitoring.

InfluxDB 3 builds on open-source technologies—Flight, DataFusion, Arrow, and Parquet—but even if a developer made their own time series database using the same technologies, they would not be able to replicate InfluxDB 3. The FDAP stack provides many of the building blocks required for a high-performance database, such as the fast, multi-threaded, streaming, columnar execution engine that defines InfluxDB 3.