Data visualization principles

In today’s world, we’re surrounded by more data than ever before. Think about the health apps on your phone – tracking everything from your steps and heart rate to your sleeping patterns. There’s so much information being collected from various sources, and yet, these apps manage to present it all in a way that’s easy for us to understand and act upon. They have to make it simple, engaging, and informative, condensing vast amounts of data into digestible insights.

This approach isn’t just good for fitness apps; it’s essential for network observability too. Just like those health apps help you make sense of your data, network observability tools need to present complex network data clearly and concisely. This ensures that you can quickly grasp what’s happening in your infrastructure, make informed decisions, and take action when needed. So, let’s dive into the principles that make this possible...