Pandora FMS Open Source is not a freemium software, it is not bloatware nor shareware (*Wink for those born before the 80s). Pandora FMS is licensed under GPL 2.0 and the first line of code was written in 2004 by Sancho Lerena, the company’s current CEO. At that time, free software was in full swing and MySQL was still an independent company, as was SUN Microsystems.
Application performance monitoring software is a basic need for most tech-related companies in the world. APM software is built by tech companies to help in the performance management of the application. Open Source APM tools are those whose source code is publicly accessible. In fact, for any software which is open source, the source code of the application must be publicly accessible on Github or any other website.
“Overwhelming.” It was the only word Grafana Labs CEO and Co-founder Raj Dutt could use to describe how it felt to look out at the sea of more than 600 Grafanistas gathered together in Whistler, British Columbia, for the first company-wide employee event in two years.
There are hundreds of monitoring tools available in the market for enterprises and MSPs to choose from. Many of these tools are open source or freeware. Over the years, the functionality of many of these open source tools have improved greatly. In this blog, we highlight the top open source IT monitoring tool options and discuss their pros and cons.
As businesses grow and develop, so must the tools that help manage them. Application monitoring tools provide enterprises with a way to keep track of the health and performance of their applications and ensure that everything is running smoothly. Application monitoring tools have a wide range of capabilities and data that enterprises can use to help answer questions about the current state of an application.
API Observability isn't exactly new, however it's popularity has seen rapid growth in the past few years in terms of popularity. API Observability using open source is different from regular API monitoring, as it allows you to get deeper and extract more valuable insights. Although it takes a bit more effort to set up, once you've got an observability infrastructure running it can be immensely helpful not only in catching errors and making debugging easier, but also in finding areas that can be optimized.