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IP and Mobile Trends and Education

 

Visualization

09.2019

How to adjust data to your needs in Elastic

Elastic Stack allows to use multiple data source. On the ingest-layer you can use Logstash, any of the Beats or custom app, which feeds Elasticsearch with the data through the API. Each of them can be customized or configured to some extent. In this blog post we will present how elastic can be configured to support data in format we want.

08.2019

Custom monitoring for dense Wi-Fi using Kibana

We’ve built a high density and high capacity network. In order to properly operate such network, we designed a custom monitoring and analytics solution based on Elastic Stack and MQTTbeat receiving the measurements from all 494 IoT gateways (i.e. 494 Wi-Fi APs) through an MQTT broker. In this post I’m sheding some light on the different aspects of the solution and custom dashboards.

07.2019

Visualising your tickets using Kibana

There are multiple platforms that help you with handling tickets. If you are starting your business, you might simply reply to those emails directly via your mail client, but it quickly becomes too hard to follow and handle all the issues. We chose the tool, from the same vendor, we were already using for different purpose for easy integration. It was great for following threads, tagging and grouping issues, taking notes and automating responses. In this tool we had access to basic statistics like ticket count or time graph with incoming tickets, but we were interested in more advanced stats, which could give us more insight into what is going on. That’s why we decided to integrate that tool with already used by us Elastic Stack.

 

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