Operations | Monitoring | ITSM | DevOps | Cloud

Unlocking the Power of Real-Time Analytics with InfluxDB

Turn insights into action–in real-time–using your time series data. Now, more than ever, businesses generate massive amounts of time-stamped data. To get value from that data, you need to be able to ingest and query it in real-time. InfluxDB 3.0, built on innovative open source technology (Apache ecosystem), is the solution startups and enterprises use to achieve real-time insights.

Webinar Recap: Building an AI Anomaly Detection Pipeline with InfluxDB

In this webinar hosted by InfluxDB and HiveMQ, we focus on how you can create value for your business using new tools in the AI and database ecosystem to quickly deploy AI models to perform tasks like anomaly detection. The webinar starts with a high-level overview of how MQTT and time series data can be valuable in an industrial IoT environment.

What's the Deal with Cardinality and InfluxDB 3.0?

High cardinality data presented a challenge to previous versions of InfluxDB, but InfluxDB 3.0 solved that problem. Influxers Jay Clifford and Zoe Steinkamp explain what cardinality is, why high cardinality impacts performance, and how InfluxDB 3.0 eliminates cardinality limits to open up new time series use cases.