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Application of the ELK Technology Stack for the Industrial Internet of Things

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В статье рассматриваются возможности использования стека технологий ElasticStack, включающие в себя Elasticsearch, Logstash и Kibana (ELK), для работы с данными промышленного интернета вещей (IIoT). Проведен обзор трех основных инструментов стека. Выявлены основные достоинства использования данных технологий в системах IIoT. Для наглядности была приведена практическая реализация системы при помощи программного обеспечения докер Docker. Приведены аналоги стека ELK, возможных для использования в системах IIoT. In this article discusses the possibilities of using the Elastic Stack, which including Elasticsearch, Logstash and Kibana (ELK), for work with data of industrial Internet of Things (IIoT). The main advantages of using these technologies in IIoT systems are revealed. For clarity, a practical implementation of the system using the Docker software was shown. The analogs of the ELK stack, which can be used in IIoT systems, are presented.
Title: Application of the ELK Technology Stack for the Industrial Internet of Things
Description:
В статье рассматриваются возможности использования стека технологий ElasticStack, включающие в себя Elasticsearch, Logstash и Kibana (ELK), для работы с данными промышленного интернета вещей (IIoT).
Проведен обзор трех основных инструментов стека.
Выявлены основные достоинства использования данных технологий в системах IIoT.
Для наглядности была приведена практическая реализация системы при помощи программного обеспечения докер Docker.
Приведены аналоги стека ELK, возможных для использования в системах IIoT.
In this article discusses the possibilities of using the Elastic Stack, which including Elasticsearch, Logstash and Kibana (ELK), for work with data of industrial Internet of Things (IIoT).
The main advantages of using these technologies in IIoT systems are revealed.
For clarity, a practical implementation of the system using the Docker software was shown.
The analogs of the ELK stack, which can be used in IIoT systems, are presented.

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