Many people experiment with BOLT and other Profile-Guided Optimization (PGO) methods because of the performance gains they promise. We often see developers struggle to get BOLT running smoothly or get confused by the variety of PGO methods. This tutorial aims to help with that by building understanding through: * Break down of the code-layout challenges BOLT solves, visualize them in binaries, and explain why traditional compilers struggle. * Describe the main profiling techniques and their trade-offs between performance and quality, relative to user's environment or other constraints. * Briefly compare BOLT, a Post-Link Optimizer (PLO), with other PLOs, as well compile-time or link-time PGOs it competes with or complements, such as Propeller, FE-, IR-, AFDO/S-, CS-, CSS-, HW-, and Temporal-PGO. To wrap up we will demonstrate the flow on a particular binary: 1. Use Arm’s latest Performance Analysis tools to predict whether BOLT can improve performance. 2. Capture a profile and optimize the binary with BOLT. 3. Validate results with metrics and visuals. Attendees will learn when to choose BOLT, what problem it solves, how to apply it effectively, and when to combine it with other PGOs.