Operations | Monitoring | ITSM | DevOps | Cloud

Choosing the proper Home Assistant hardware can be overwhelming. Whether you’re new to home automation or a seasoned pro, the hardware you select can make or break your experience. This comprehensive guide will demystify the requirements, delve into the various options, and help you make an informed decision. From the compact Raspberry Pi to the powerful Intel NUC, we’ve got you covered. So, strap in, and let’s dive into the world of Home Assistant hardware!

Monitoring starts with data, but action depends on timely alerts. When an alerting workflow relies on scheduled queries or external checks, engineers miss short windows where values shift and conditions form. The alerting plugin closes that gap by evaluating alert rules inside InfluxDB 3 as new values arrive, enabling faster detection and more responsive monitoring.

Modern systems generate huge volumes of time series data. Advances in hardware and edge instrumentation enable sensors and applications to capture new values every second—or faster—which makes high-frequency measurement easy and affordable. When applied effectively, this steady flow of data reveals early warning signs, highlights subtle performance shifts, and helps teams understand how systems behave in real-time.

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.