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Nathaniel Cook

Nathaniel is the leader of the Kapacitor Project at InfluxData. Nathaniel started his career as an operations engineer, trying to make data do the hard work of monitoring and managing large-scale SaaS products. Along the way, he learned some data science and machine learning and put them to use detecting anomalies in time series data. Nathaniel holds an MS degree from University of Illinois.

Flux and Static Analysis

By Nathaniel Cook / Jun 01, 2020 / Community, Developer, Flux

?Have you seen this when using the Flux code editor? Pretty neat to be able to get that much help from an editor while writing code. ?Have you ever wondered how that worked? Today, I’ll take us on a bit of...

Announcing Flux (formerly IFQL) v0.0.5 with 12+ New Functions

By Nathaniel Cook / Feb 27, 2018 / InfluxDB, Developer, Flux

This release represents a big leap forward for Flux. In the first part of the release cycle, we focused on formalizing the way query operations are chained within Flux. Once that was complete we tried it out, and quickly found that...

Announcing Flux (formerly IFQL) v0.0.4

By Nathaniel Cook / Jan 22, 2018 / InfluxDB, Community, Developer, Flux

We recently released v0.0.4 of IFQL - Influx Query Language [now called Flux]. With the holidays at the end of the year, we were a little slow getting this release out. Going forward, we expect to release every two weeks. This...

Announcing Flux (formerly IFQL) v0.0.3

By Nathaniel Cook / Dec 13, 2017 / InfluxDB, Community, Developer, Flux

The Flux (formerly IFQL) team releases a new version every two weeks. We want to get our changes into the hands of our community quickly so we can hear of your experiences early. Please submit issues and PRs on the repo....

Announcing Kapacitor 1.0 - A Data Processing Engine for InfluxDB

By Nathaniel Cook / Sep 08, 2016 / Community, Kapacitor

Kapacitor 1.0 GA is here. Kapacitor is the brains of the TICK stack. You can leverage Kapacitor to process your data for various business needs and use it to find changes or anomalies within your time series data. We have come...

Combining Kapacitor and Continuous Queries

By Nathaniel Cook / May 10, 2016 / InfluxDB, Kapacitor

Kapacitor can be used to do the same work as Continuous Queries in InfluxDB. Today we are going to explore reasons to use one over the other, Kapacitor vs Continuous Queries, and the basics of using Kapacitor for CQ type workloads. What’s...

Announcing Kapacitor 0.11 RC with Big Performance Gains and Simplified API

By Nathaniel Cook / Mar 15, 2016 / Kapacitor

We are excited to announce that Kapacitor v0.11 RC is here with big changes. Kapacitor is significantly more performant, exposes internal performance metrics, and has a simplified API for working with functions from InfluxQL. What's Kapacitor? Kapacitor is InfluxDB's native data...

Announcing Kapacitor v0.10: Support for Custom Functions, More Integrations and a Dead Man's Switch

By Nathaniel Cook / Jan 28, 2016 / Kapacitor

Since the initial release of Kapacitor v0.10 in December of last year there have been a few common themes among the community on what features they’d most like to see Custom User Functions & Anomaly Detection This release gives users the...

Announcing Kapacitor 0.2.0

By Nathaniel Cook / Dec 07, 2015 / Kapacitor

Kapacitor version 0.2.0 has been released today. What’s Kapacitor? If you missed out announcement last week, it’s the “K” in the TICK stack. Kapacitor is an alerting and data processing engine for time series data. It lets you define your own custom...

Announcing Kapacitor, an Open Source Streaming and Batch Time Series Processor

By Nathaniel Cook / Dec 01, 2015 / Kapacitor

Today we are happy to announce Kapacitor an open source data processing engine for time series data written in Go. Kapacitor enables you to: trigger alerts based on complex and dynamic criteria, run ETL jobs on current and historical data, and...

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