Add monthly learning path report [skip ci]

Author: github-actions

reports/LP-report-2026-03.md

@@ -9,22 +9,24 @@
 | [Understand KleidiAI SME2 matmul microkernels](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kai_sme2_matmul_ukernel_explained/) | February 24, 2026 | March 06, 2026 | 10 |  | mobile-graphics-and-gaming |  |
 | [Migrate applications between Arm platforms using Kiro Arm SoC Migration Power](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arm-soc-migration-learning-path/) | January 26, 2026 | March 06, 2026 | 39 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS, Oracle |
 | [Build, optimize, and deploy ML models with ONNX on Arm64 and mobile devices](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/) | January 13, 2026 | March 06, 2026 | 52 |  | mobile-graphics-and-gaming |  |
-| [Optimize AArch64 binaries with LLVM BOLT](https://learn.arm.com/learning-paths/servers-and-cloud-computing/bolt-demo/) |  | March 16, 2026 |  | ACM | servers-and-cloud-computing |  |
 | [Use Linux on the NXP FRDM i.MX 93 board](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/linux-nxp-board/) | January 14, 2026 | March 16, 2026 | 61 |  | embedded-and-microcontrollers |  |
 | [Automate MCP server testing using Pytest and Testcontainers](https://learn.arm.com/learning-paths/cross-platform/automate-mcp-with-testcontainers/) | March 05, 2026 | March 16, 2026 | 11 |  | cross-platform |  |
 | [Build a customer support chatbot on Android with Llama and ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/customer-support-chatbot-with-llama-and-executorch-on-arm-based-mobile-devices/) | December 04, 2025 | March 20, 2026 | 106 |  | mobile-graphics-and-gaming |  |
 | [Deploy ExecuTorch firmware on NXP FRDM i.MX 93 for Ethos-U65 acceleration](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/observing-ethos-u-on-nxp/) | January 30, 2026 | March 20, 2026 | 49 |  | embedded-and-microcontrollers |  |
 | [Build Robot Simulation and Reinforcement Learning Workflows with Isaac Sim and Isaac Lab on DGX Spark](https://learn.arm.com/learning-paths/laptops-and-desktops/dgx_spark_isaac_robotics/) | March 03, 2026 | March 20, 2026 | 17 |  | laptops-and-desktops |  |
 | [Run image classification on an Alif Ensemble E8 DevKit using ExecuTorch and Ethos-U85](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/alif-image-classification/) | March 12, 2026 | March 20, 2026 | 8 |  | embedded-and-microcontrollers |  |
 | [Monitor Azure Cobalt 100 Arm64 virtual machines using Dynatrace OneAgent](https://learn.arm.com/learning-paths/servers-and-cloud-computing/dynatrace-azure/) | March 16, 2026 | March 20, 2026 | 4 | ACM | servers-and-cloud-computing | Microsoft Azure |
+| [Optimize AArch64 binaries with LLVM BOLT](https://learn.arm.com/learning-paths/servers-and-cloud-computing/bolt-demo/) |  | March 24, 2026 |  | ACM | servers-and-cloud-computing |  |
+| [Optimize application performance using Arm Performix CPU microarchitecture analysis](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-microarchitecture/) | March 16, 2026 | March 24, 2026 | 8 | ACM | servers-and-cloud-computing |  |
+| [Find Code Hotspots with Arm Performix](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cpu_hotspot_performix/) | March 17, 2026 | March 24, 2026 | 7 | ACM | servers-and-cloud-computing |  |
 
 | Statistic | Value |
 |-----------|-------|
-| Number of Learning Paths published | 13 |
-| Number of ACM Learning Paths published | 5 |
-| Average time to publish (days) | 31.1 |
+| Number of Learning Paths published | 15 |
+| Number of ACM Learning Paths published | 7 |
+| Average time to publish (days) | 27.7 |
 | Longest time to publish (days) | 106 |
-| Number in 'servers-and-cloud-computing' | 5 |
+| Number in 'servers-and-cloud-computing' | 7 |
 | Number in 'mobile-graphics-and-gaming' | 3 |
 | Number in 'embedded-and-microcontrollers' | 3 |
 | Number in 'cross-platform' | 1 |
@@ -54,5 +56,5 @@
 Total planned Learning Paths: 13
 
 
-_Report generated on March 20, 2026 at 19:24:49 UTC_
+_Report generated on March 24, 2026 at 19:13:02 UTC_