Grafana isn’t just being used for monitoring applications. Andrew Rodgers, Senior Systems Architect at New City Energy, spoke in Amsterdam at GrafanaCon EU 2018 about how his organization is using Grafana to measure energy usage in municipal buildings in Washington D.C. for the Department of General Services (DGS).
As operational complexity accelerates, our customers are realizing that it’s impossible to manage their services or innovate for their business without a mechanism to make sense of that complexity. That’s why our March product update focuses on Event Intelligence, which is all about turning chaotic monitoring data into actionable insights so that teams can work smarter and focus on the things that matter.
Throughout Pandora FMS’s history, constant improvements and functionalities have been introduced that have made Pandora FMS an advanced monitoring tool. At the same time, the more advanced the tool, the more complex its administration and configuration becomes. The R&D team, together with the team of developers, saw in this growth of complexity an issue to deal with, wanting to reduce as much as possible the doubts that a user could find when working with Pandora FMS.
As a Product Manager at BigPanda, I like to stay in touch with our customers on a regular basis. Recently, I visited a customer of ours in Atlanta. As I was getting got out of my rental car in the company’s parking lot, I noticed him pulling in into his small parking space in a very large pickup truck. “Those are some big wheels”, I commented.
In order for employees to get their jobs done in today’s world, they are relying on IT departments to deliver and support more complex and diverse technologies than ever before. It seems like every employee has their own preferred workflow that is supported by a specific data set, program, app or device, and IT is expected to understand and support them all.
Wherever you’re at in your monitoring journey, you’ve probably used Nagios at one time or another. Love it or hate it, a legacy tool like Nagios played a critical role in establishing monitoring as a practice and helped train a generation of operators who required visibility into system dependencies and performance.
