Operations | Monitoring | ITSM | DevOps | Cloud

Today, we’re announcing a major milestone for developers building the next generation of intelligent, real-time systems: InfluxDB 3 is available on Amazon Timestream for InfluxDB, now the default time series database offered directly in the AWS Management Console. This brings InfluxDB 3, our next-generation time series database, directly into the AWS ecosystem for the first time.

InfluxDB 3 Core and Enterprise bring real-time performance, unlimited cardinality, and low-cost storage to AWS developers running time series workloads at scale.

From pipelines to warehouses, modern operations generate more distributed data than ever, with equipment and connected devices spread across factories, grids, and remote sites. A single, centralized historian can no longer handle this volume or distribution. Without change, organizations risk fragmented visibility, higher costs, and slower responses.

Python developers often reach for Streamlit when they need to construct compelling web applications quickly. It provides a fast way to transform Python scripts into interactive applications without complex web frameworks. When paired with InfluxDB 3 Core, the leading time series database, engineers can build powerful real-time analytics dashboards entirely in Python.

We’ve been working on a number of items here at InfluxData to give you even more options for creating visualizations and dashboards for your time series data in InfluxDB 3.

Companies today face growing pressure to manage and analyze massive flows of time series data, from IoT sensors to cloud-native infrastructure. Storing this information is relatively straightforward. The greater obstacle is keeping it useful and consistent while balancing a wide range of tools and modern technology platforms that continue to evolve.

InfluxDB 3.5 is now available for both Core and Enterprise, along with updates to the new Explorer UI that make it easier to save, organize, and query your data. This release highlights the biggest updates since our 3.4 release, including Explorer Dashboards in beta, new cache querying capabilities, and stronger operational tools for managing clusters. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

Monitoring equipment isn’t enough for today’s smart buildings; true value comes from being able to predict issues, optimize performance, and take action automatically. Traditional building management systems often fall short, limited to dashboards and alarms that only notify you of an issue after the fact. With the rise of open source hardware, modern databases, and AI-driven diagnostics, facilities can now move from reactive to proactive management.

When milliseconds matter and data never stops flowing, you need a pipeline that can handle high-velocity streaming data with reliability and scale. The modern streaming stack of Kafka, Telegraf, and InfluxDB 3 Core delivers exactly that. To give you a concrete example, this blog works with a fictitious use case: “Papa Giuseppe’s Pizzeria.” Every oven, prep station, and order in this pizza restaurant generates data. Our workflow looks like this.

As technology scales and data volumes accelerate, organizations face a pressing challenge: how can they modernize data infrastructure without putting daily operations at risk? Data historians, specialized databases that capture and store time-stamped machine and sensor data, have long been the foundation for reliability and compliance. However, they were not designed for the openness and advanced analytics that modern workloads demand.