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 …
Announcing Flux (formerly IFQL) v0.0.5 with 12+ New Functions Read More »
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. …
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 …
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 …
Announcing Kapacitor 1.0 – A Data Processing Engine for InfluxDB Read More »
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. …
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.
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 …
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 …
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.
