Observability dashboards are powerful tools for visualizing and monitoring the health of your systems and applications...
But what makes a BAD #observability dashboard?
1️⃣ To many dashboards!
Imagine logging into your observability platform, eager to find insights, only to be met with a chaotic array of dashboards with no apparent organization. 🥴 This lack of logical grouping or categorization can quickly lead to user frustration.
2️⃣ Difficult to interpret
A common mistake is information overload, where dashboard creators, in their enthusiasm to provide comprehensive data, cram too many metrics or visualizations onto a single screen. 😵💫
3️⃣ Answering the right questions?
Just like we hear location, location, location when trying to purchase a property, dashboards are all about context. You may have the most meaningful visualization but it doesn’t mean much without the context around that visualization. 🔍
We wrote a blog on best practices for creating and maintaining effective observability dashboards. Check it out ⬇️
https://okt.to/PFr4C2
#DeveloperExperience #Chronosphere #cloudnative