Understanding the Role of LoRaWAN in the Internet of Things

The Internet of Things (IoT) is rapidly becoming a reality, with more and more devices being connected to the internet every day. These devices range from smart thermostats and security cameras to fitness trackers and smart appliances. They all have one thing in common: they need a way to communicate with each other and the internet. This is where LoRaWAN comes in.

LoRaWAN is a wireless communication protocol designed specifically for IoT devices. It is a low-power, long-range technology that allows these devices to transmit data over long distances without needing a WiFi or cellular connection. This makes it ideal for IoT applications where devices may be located in remote or hard-to-reach areas or where a traditional internet connection is unavailable.

One of the key benefits of LoRaWAN is its ability to support many devices on a single network. This makes it ideal for large-scale IoT deployments, where thousands or even millions of devices may need to be connected. LoRaWAN is an open standard, which means it is not tied to any specific vendor or technology. This allows manufacturers to easily integrate LoRaWAN into their products and enables users to mix and match different devices on the same network.

Another important advantage of LoRaWAN is its low power consumption. Because IoT devices often run on batteries, they must use as little power as possible to extend their lifespan. LoRaWAN is designed to be highly efficient, allowing devices to run on a single battery charge for long periods. This makes it an ideal solution for applications where power may be limited, such as in remote sensors or in wearable devices.

Overall, LoRaWAN is an essential part of the IoT ecosystem. It provides a low-power, long-range communication solution that allows IoT devices to connect and communicate with each other and the internet. Its open standard and ability to support many devices make it an ideal choice for many IoT applications.


Monitoring 101: The Basics of Monitoring with Grafana, InfluxDB and Telegraf

In this blog post, we’ll look at some of the most common tools for monitoring various services in any IT infrastructure. There are several solutions out there, each with unique pros and cons. In this post, we will focus on using Grafana, InfluxDB and Telegraf to monitor your network, servers, services and other components from a single pane of glass. Why use Grafana, InfluxDB and Telegraf together? Because these three open-source projects work very well together to create an end-to-end monitoring solution for any environment. Let’s dive in…

What is monitoring?

Monitoring is gathering data about your network and IT infrastructure, usually in real-time, and then analyzing that data to identify trends, issues and metrics that can help you determine what needs to happen next to keep your systems safe, secure and running smoothly. Monitoring is also a very important part of any DevOps implementation. Monitoring is sometimes referred to as “the eyes of the network”. The information gathered through monitoring can also be referred to as metrics. There are two main ways to approach monitoring: — End-to-end monitoring: This is when you monitor everything from end-to-end, including applications, web servers, databases and other pieces of the IT stack. — Shoe-box monitoring is when you monitor only a few key pieces of your IT stack — usually the bare minimum.


Grafana is an open-source tool for centralized metrics and monitoring. It can be used for many use cases — monitoring of various services, server statistics, application metrics, etc. Grafana is a great choice for centralized metrics and monitoring due to its flexibility and powerful features. Grafana has some of the best visualization options, allowing you to create high-quality dashboards that are easy to use and understand. Moreover, it is an open-source tool with a vibrant and engaged community, which means that you can expect regular updates and great support.


The first component of the monitoring stack is InfluxDB. InfluxDB is a high-performance time series database that is purpose-built for collecting metrics and analytics. It comes with a ton of features out of the box, including a built-in HTTP API, user authentication, a language-agnostic querying interface, built-in data compression and data retention policies. For monitoring and metrics, InfluxDB is used as a data store. It can store large amounts of metrics and analytics data that can be analyzed later. It is a great choice for this particular task due to its scalability, performance and wide range of features.


Telegraf is a metrics collection engine for a variety of data sources. Telegraf can collect metrics from various sources, such as system metrics (disk usage, CPU load, etc.), application metrics (HTTP request rates, response times, etc.), and other metrics collectors. Telegraf can then send these metrics to various data sources, including InfluxDB. Overall, Telegraf is well-suited for metrics collection and metrics aggregation due to its simplicity and ease of use. It can be easily installed on various servers and nodes across your network and configured with a simple and straightforward configuration file. Moreover, it is an open-source project with a vibrant and engaged community.

Summing up

Monitoring is an important part of any IT infrastructure, as it can help you quickly identify issues and potential problems across your network. There are several monitoring tools available that can help you with this. In this post, we looked at some of the most common tools for monitoring various services in any IT infrastructure. We explored what monitoring is, why it’s important, and what some of the most common tools for monitoring are. We also examined why it’s important to use Grafana, InfluxDB and Telegraf to create an end-to-end monitoring solution for any environment.