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.

Nathaniel Cook

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

​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 …

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

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 …

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Announcing Flux (formerly IFQL) v0.0.4

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. …

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Announcing Flux (formerly IFQL) v0.0.3

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 …

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Announcing Kapacitor 1.0 – A Data Processing Engine for InfluxDB

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 …

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Combining Kapacitor and Continuous Queries

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. …

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Announcing Kapacitor 0.11 RC with Big Performance Gains and Simplified API

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.

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

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 …

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Announcing Kapacitor 0.2.0

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 …

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

Kapacitor is a standalone program that processes time series data. Data can be streamed or sent in scheduled batches to Kapacitor via any number of inputs, including InfluxDB. Kapacitor can even subscribe to receive all data sent to an InfluxDB cluster.

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