Tools and Frontier

Tools and Frontier

ExpertTopic4 lessons~3h 35m

Lessons, in order

01 The Tool LandscapeThere are hundreds of observability products and a small number of jobs: instrument, collect, store, query, alert — and, for AI, read the accelerator, read the engine, trace the model call, … Advanced 50 min 02 How It Is ChangingObservability is moving in two directions at once. The general field is consolidating on open standards, adding a fourth signal, instrumenting from the kernel, and shifting from … Expert 1h 03 What to WatchTwo lists. First, the metrics to watch on an AI serving platform — about two dozen, layer by layer, each with the direction that means trouble. Second, the projects and feeds to watch, with … Expert 45 min 04 Designing Observability for an Inference PlatformThis lesson assembles the course into one design. The method is the same for any system: write down the questions people will ask, decide which signal answers each, define a common schema so … Expert 1h

About this topic

The mechanisms in topics I–V are stable. The products that implement them are not: this topic maps what exists, explains the direction the field is moving, and gives you a method for keeping up without rereading everything each quarter.

#	Lesson	The question it answers
01	The Tool Landscape	What tools exist at each layer, and how do I choose?
02	How It Is Changing	Which shifts are under way, and why?
03	What to Watch	Which metrics, projects and feeds deserve attention?
04	Designing Observability for an Inference Platform	How do the pieces fit into one design?

Everything dated in this topic was checked on 3 October 2026. Treat names and statuses as a snapshot; the reasoning around them is what lasts.