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A Rust Client for InfluxDB 3

Summary A new async Rust client for InfluxDB. Built for the edge gateways, embedded systems, and high-throughput ingest pipelines where Rust already runs. Table of Contents Time series data shows up wherever the physical world meets software. A satellite constellation streams altitude, power, and thermal telemetry from every spacecraft on every pass. A factory floor running on Industry 4.0 principles instruments every line, every motor, every batch.

From Data Analytics to AI: The Technology Behind Modern Fraud Detection

A supplier changes its bank details at 3:12 p.m. Three invoices arrive before 5:00, each just below the level requiring senior approval. That evening, an unfamiliar device accesses the payment account. None of those events proves fraud. Together, they form the kind of pattern modern detection systems are built to recognise.

The Next Phase of Technology Will Be Built Around Real-World Data

The internet gave machines access to what people have written, photographed, watched and built. That created systems able to summarise documents, generate software and reproduce visual styles. It is not enough for a machine that must understand a changing street, hospital room, factory line or electricity grid. The next phase will depend on data produced by physical activity. Sensors will capture it, edge devices will process it and models will act on it. The challenge is turning imperfect signals into useful, traceable and safe decisions outside a controlled demonstration.

Deploying Apache Kafka Streams next to your data

If you’re using Apache Kafka for data streaming, then you’re likely to want to take data from one topic and write an amended version of that data to another topic, for instance: for filtering (give me the items that have been delivered), enrichment (add some more information to messages, from another data source) or anomaly detection (show me potential signs of trouble). The premier solution in this space is the Apache Kafka Streams library.

How Businesses Can Improve Their Digital Marketing ROI

Every business wants to know its marketing dollars are working hard. You invest in digital campaigns, social media content, and email outreach, expecting a positive return. But figuring out and improving your digital marketing return on investment (ROI) can feel like a moving target. If you're struggling to connect your marketing spending to real business results, it's time to focus on strategies that deliver measurable value.

Skills as Guardrails: Contributing to Apache Kafka with AI, Without Knowing Every Module

Let me start with something most Kafka contributors think but rarely say out loud: nobody understands all of Kafka. I'm not a core committer and have only contributed a few times, but those contributions I have made have been in part thanks to using coding assistants. There are some issues with this approach though, the Apache Kafka project is huge. It's split into many parts: the core, the server, the client libraries, the streams engine, the storage layer, the consensus code, and more.

The AI Technologies That Will Change Business Over the Next Five Years

Artificial intelligence is no longer viewed as an experimental technology reserved for large enterprises. It has become an essential business tool that helps organizations automate processes, analyze information, improve customer experiences, and make faster decisions. Over the next five years, AI will continue evolving beyond simple automation into systems capable of reasoning, collaborating, and independently managing increasingly complex workflows.

Where Historians Fall Short for Physical AI

Summary Physical AI—machines and industrial systems that sense conditions, reason, and act in the real world—needs two things from operational data: detailed history for training, and real-time telemetry for inference. Traditional data historians weren’t built for either at the speed Physical AI requires. Four gaps result: limited real-time access, compression that strips model-relevant signal, IT/OT fragmentation, and site-by-site architectures.

What's New in InfluxDB 3.11: A Significant Performance Upgrade for Complex Time Series Workloads

Summary InfluxDB 3.11 delivers major performance and data management updates for growing time series workloads, with significantly faster queries on recent data, expanded support for wide and ultra-sparse schemas, and a more predictable resource profile under load. InfluxDB 3 Enterprise also adds backup and restore, bulk Parquet import, row-level deletes, and a built-in Explorer UI.

AI-Powered Spacecraft Operations with InfluxDB 3

Summary The InfluxDB satellite telemetry demo is a live mission-control application that monitors a simulated fleet of 12 satellites in real-time. It shows how the InfluxDB 3 Processing Engine can detect anomalies as data is written, enrich time series data with third-party data, and power a grounded AI agent using the InfluxDB 3 MCP server to investigate and explain fleet health.