In today’s article, we will focus on Meraki management for Cisco Catalyst 9300 switches in Cloud Management model migration. Let’s see if the process itself goes as smoothly as it did with the Catalyst 9200 switch. I have a model with software upgraded to version 17.12.01, the latest as of the date of this article.  […]

Migrating to a data & service cloud is a thing that resembles a gigantic cargo rolling stock gaining momentum. Its inception is already very far behind us, and currently we’re at a point, where this monstrosity of scrap metal has accelerated so much that it’s impossible to stop. It still picks up speed, grows stronger, […]

How far does system monitoring reach? How do we know what to observe? Which monitoring tool to choose? Let’s dive into the topic.

This is a short overview on Smart Cities and company’s IoT product deployment case study, which is based on the article “Adoption of Smart Cities with a Practical Smart Building Implementation“ [1] by Marcin Dryjański, Mateusz Buczkowski, Youssouf Ould-Cheikh-Mouhamedou, and Adrian Kliks which is a magazine article in IEEE Internet of Things Magazine.   Abstract [1] […]

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.

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.

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.