AIP Observability & Trace Visualizer

Monitoring execution history, performance metrics, and resource consumption across AIP. AIP Observability & Trace Visualizer turns that idea into something you can manipulate directly and watch respond.

Monitoring execution history, performance metrics, and resource consumption across AIP. It focuses on Workflow Lineage, Distributed Tracing, P95 Duration, Execution History from the “AIP Observability and Monitoring” section.

The sliders change the key inputs; toggles show or hide layers so you can compare cases; the “Run Agent Trace” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

Palantir's Artificial Intelligence Platform (AIP) provides a secure and scalable framework for integrating Large Language Models (LLMs) with organizational data and operations. This course explores the core components o… This demo is the interactive piece for the “AIP Observability and Monitoring” section. Open the full AIP overview course wiki at https://www.getlykke.com/explore/public/aip-overview-00e99a23-f139-44ca-9f2b-a070b37d2252 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Workflow Lineage, Distributed Tracing, P95 Duration, Execution History — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on AIP overview alone.