The Explainer : Observability

✨ I couldn’t resist… I finally created a video on observability using NotebookML – and honestly, the result is quite impressive. Being able to combine data science notebooks with an interactive explanation layer opens up a whole new way to visualize and share complex concepts like observability. Instead of static dashboards or slides, you can walk through metrics, logs, traces, and explain the reasoning step by step – with a clear narrative. 🔍 For anyone working in IT Ops, AIOps, or modern monitoring stacks, I see real potential here: Clarity: concepts are explained visually and interactively Accessibility: even non-technical stakeholders can follow along Scalability: reproducible insights that go beyond screenshots I’ll share more soon, but let’s just say… observability explained through NotebookML is something worth exploring. 🚀 👉 What do you think? Could interactive storytelling become the new standard for explaining technical topics? #Observability #AIOps #DataScience #NotebookML