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It’s About Time.
Real-time insights at any scale.

Paul Dix

Paul Dix

Paul is the creator of InfluxDB. He has helped build software for startups, large companies, and organizations including Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley’s Data & Analytics book and video series. In 2010 Paul wrote the book Service-Oriented Design with Ruby and Rails for Addison-Wesley. In 2009 he started the NYC Machine Learning Meetup, which now has more than 13,000 members. Paul holds a degree in computer science from Columbia University.

Why Build a Time Series Data Platform?

Please note: This blog was originally published on DB-Engines and can be found here. In the middle of the big data hype cycle, before IoT was on the top of everyone’s buzz list, before Cloud Native was common lingo and before...

InfluxDB and Kapacitor: An Enhanced Data Model and Functional Query Language

The current data model in InfluxDB of measurements, tags, and fields is a major change we made near the end of 2014. The query language has largely been the same since the initial introduction of the project in November of 2013....

Metrics are Dead? Thoughts after Monitorama

Last week I attended Monitorama in Portland, Oregon. It’s an annual conference that focuses on… you guessed it, monitoring. Much of the content and sponsor focus is on DevOps Monitoring, but it’s not exclusively devoted to that. Many of the talks were applicable...

The Open Source Business Model is Under Siege

A few weeks ago I gave the Day 2 opening keynote at PerconaLive, a conference focused on Open Source Databases. My talk, titled “The Open Source Business Model is Under Siege,” is about the existential threat that Open Source Database companies,...

Monitoring with Push vs. Pull: InfluxDB Adds Pull Support with Kapacitor

The monitoring community has been having a debate for a while now about push vs. pull monitoring. A year ago I was firmly in the push camp, but recently I’ve come around to appreciating what pull has to offer, and you need both...

Prometheus + InfluxDB: Thoughts After the Austin Monitoring Meetup

At The Austin Monitoring Meetup last night it was great to see how Prometheus and InfluxDB can be used together. I’ll highlight some of the details from my talk, but first I’d like to point to some work that Julius Volz, one...

Path to 1 Billion Time Series: InfluxDB High Cardinality Indexing Ready for Testing

One of the long-standing requests we’ve had for InfluxDB is to support a large number of time series. That is, a very high cardinality in the number of unique time series that the database stores. While we currently have customers with...

Why Community Matters

When we started building InfluxDB, we focused on doing it as an open source project because our fundamental belief is that an InfluxData developer community is key to success for any software platform. We knew we were doing the right thing...

InfluxDB 1.2 Released with Subqueries and 50% Better Write Throughput on Larger Hardware

Today we’re excited to announce the release of InfluxDB 1.2 along with the other components of the TICK stack, an open source, end-to-end solution for solving monitoring and analytics problems with time series data. This release of the stack brings some...

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