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Latest Videos

AWS + InfluxData Fireside Chat: Unleash the Full Potential of Your Time Series Data

Watch this recent TechCrunch session where two time series data industry leaders–InfluxData Founder and CTO, Paul Dix, and AWS General Manager for Amazon Timestream and Amazon Neptune, Brad Bebee–join moderator Andrew Lamb, Staff Engineer at InfluxData, to discuss.

Expanding the AWS partnership Amazon Timestream for InfluxDB

InfluxData CEO, Evan Kaplan, discusses the company's expanded partnership with AWS. Open source InfluxDB is now available as a managed service on AWS. Discover what this means for InfluxDB and AWS users, and what additional offerings are in the works to help uers improve their Time to Awesome.

Avoiding the Data Roach Motel with Open Source

It's your data. You should be able to do whatever you want with it. However, vendor lock-in can trap your data in a single solution, making it extremely difficult to switch to something that better meets your needs. When your data goes in, but doesn't come out—that's a data roach motel. Open source technologies, and solutions built with open source tools, enable organizations to take control of their data, giving them the freedom to put it into and take it out of whatever databases or solutions they see fit.

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.

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.