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Kapacitor

ATH Infosystems

(1 classificações)

Kapacitor

ATH Infosystems

(1 classificações)

Version 1.7.2 + Free Support on Ubuntu 20.04

We provide comprehensive DevOps Cloud Infrastructure Setup and Support Services at an affordable rate of $1500/month. Our services encompass DevOps Solutions, Cloud Infrastructure Setup, and round-the-clock Support. Download our detailed proposal from the link below:

Download DevOps Proposal

Kapacitor is a powerful and versatile data processing engine designed to handle time-series data efficiently. It is an integral component of the TICK stack (Telegraf, InfluxDB, Chronograf, Kapacitor) and is used for performing real-time stream processing, data transformation, anomaly detection, and alerting.

Features of Kapacitor:

  • Kapacitor processes time-series data in real-time, enabling rapid analysis and response to changing conditions.
  • Kapacitor supports various data transformation operations, including filtering, aggregating, and joining, allowing users to manipulate data according to their requirements.
  • Kapacitor includes built-in functions for detecting anomalies and unusual patterns in time-series data, facilitating proactive monitoring and early problem detection.
  • Kapacitor provides flexible alerting mechanisms, allowing users to define custom alerting rules based on thresholds, trends, or other conditions. Notifications can be sent via email, SMS, Slack, and other channels to ensure timely response to critical events.
Disclaimer: Kapacitor is an open-source software distributed under the GNU General Public License (GPL). It is not affiliated with, endorsed by, or sponsored by any company. Kapacitor is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to Kapacitor hold no responsibility for any damages, losses, or consequences resulting from the use of this software. Users are advised to carefully review and comply with licensing terms and any applicable regulations while using Kapacitor.