Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB is the go-to database for developers working with high-velocity time series data for use cases like application performance monitoring and real-time analytics. But InfluxDB exhibits its true power when combined with the right tools and integrations. The tools covered in this blog post can help at all stages of your workflow, from data collection to visualization and analysis, so you can get the most out of your InfluxDB deployment.

Your smart home devices generate vast amounts of scattered data—this tutorial shows you how to centralize it into a unified platform using InfluxDB 3 and Grafana. You’ll not only track your home’s vital signs but also learn professional software development concepts, such as time series database design and building resilient data pipelines, applicable to various monitoring and analytics systems. Before we begin, ensure you have.

InfluxDB 3.7 is now available for both Core and Enterprise, landing alongside version 1.5 of the InfluxDB 3 Explorer UI. This release focuses on giving developers faster visibility into what their system is doing with one-click monitoring, a streamlined installation pathway, and broader updates that simplify day-to-day operations. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

InfluxDB Cloud Dedicated provides hosted and managed InfluxDB Cloud clusters in a single-tenant environment and is optimized to handle high write and query loads. Today, InfluxData is releasing a visual overhaul and new features for its Admin UI. Among the recent updates are live observability for customer clusters, overhauled site navigation, and improved visibility into table schemas.

Aerospace systems operate in one of the most unforgiving environments imaginable. Each flight test, orbital maneuver, or satellite transmission subjects avionics, propulsion systems, sensors, and telemetry hardware to extreme conditions. Even a minor failure can cascade into grounded aircraft, interrupted communications, or compromised missions.

Getting started with any database technology can be daunting, and nothing is ever as easy as a snap of the fingers. With InfluxDB 3, we’ve made it as painless as possible. If you want to do some testing, development, or exploration, you’ve read the title: you should be up and running in under 10 minutes with very little hassle.

Learn how to visualize time series data from InfluxDB 3 Core using popular open source Apache Superset. This tutorial walks you through setting up both systems with Docker, writing sample IoT data, and creating your first visualization. For more information about Apache Superset, this article may be helpful.

As machines and systems grow more connected and complex, the traditional toolbox for managing them feels increasingly outdated. Engineers and operators need new approaches that match the realities of software-driven products and data-intensive environments. Digital twins provide that leap forward. By creating a virtual model of a physical asset and continuously feeding it with real-time data, digital twins reveal both current performance and likely future outcomes.