Operations | Monitoring | ITSM | DevOps | Cloud

In this video, Dev Advocate Cole Bowden walks you through where traditional data historians fail, and why a dedicated time series database like InfluxDB can streamline your operations. With an AI-powered demo showcasing an automative plant's data, you'll see the value of InfluxDB and where it can power insights that Data Historians can't handle on their own.

AI demand is pushing data centers to get bigger, denser, and more distributed, while the data that runs them still often sits in different systems, slowing down operations and hampering efficiency. By leveraging a time series database like InfluxDB to create a single, unified telemetry layer, you can simplify your data stack, comfortably handle the high volume of data, and solve problems faster and more efficiently, helping to minimize waste and maximize efficiency, saving time, electricity, equipment, and money.

InfluxDB 3’s Processing Engine lets you run native Python directly alongside your time series data to transform, analyze, and act on it as it arrives. Director of Product Management Pete Barnett walks you through it, and what you can do with plugins to power your time series data workloads.

InfluxDB 3.11 is the largest update to InfluxDB 3 since its initial launch, bringing major improvements to performance, data management, and deployment workflows. In this video, Peter Barnett walks through the key changes and what they mean for demanding time series workloads.

See how InfluxData built an AI-powered satellite fleet dashboard using InfluxDB 3 Enterprise. Head of Product Marketing Ryan Nelson demonstrates how the system handles high-cardinality telemetry and burst ingestion, detects anomalies in real time, and connects live operational data to Claude through the InfluxDB 3 MCP server. The result is faster fleet-wide analysis, reliable telemetry ingestion, and an integrated workflow for anomaly detection, investigation, and response.

Telegraf Controller is a centralized application designed for managing Telegraf deployments at scale by defining configurations in one location and consistently applying them across a fleet of agents. In this video, Product Manager Scott Anderson walks you through the steps of setting up and managing agents using the controller, covering.

Telegraf Controller makes it easier to manage and monitor your Telegraf agents in one place. In this overview, Product Manager Scott Anderson explains how it works. Agents pull their configurations directly from the controller and report their status back using a heartbeat plugin. This gives you a clear, real-time view of your deployment health. You can quickly see how everything is running at a high level or drill into individual agents for more detail. It's a simple way to stay on top of large Telegraf setups.

Telegraf Enterprise is built to help teams manage Telegraf at scale. In this overview, Product Manager Scott Anderson introduces what’s included and how it works. The package combines Telegraf Controller, a web app for centralized configuration and agent observability, with dedicated enterprise support from the InfluxData team and Telegraf maintainers. If you’re running large Telegraf deployments and want more visibility and support, this gives you a clear look at what Telegraf Enterprise brings to the table.

Telegraf is InfluxData’s open source agent for collecting metrics, and it’s used everywhere. In this quick overview, Product Manager Scott Anderson shares what makes it stand out, from more than 5 billion downloads to a huge plugin ecosystem with 400+ integrations. It’s also built by a strong community, with over 1,300 contributors and thousands of GitHub stars. That momentum is a big part of why Telegraf keeps growing.

InfluxDB 3 on Amazon Timestream for InfluxDB now scales to 15-node clusters, unlocking higher ingestion, greater query concurrency, and real-time performance at scale. In this video, PM Pete Barnett breaks down what this means for high-resolution, high-velocity workloads, and how you can scale from Core to Enterprise with zero downtime or data migration.