1. 1. Introduction / Case Studies
2. 2. Transitioning workloads to AWS Graviton
3. 3. Optimizing for Graviton
   1. 3.1. C/C++
   2. 3.2. Go
   3. 3.3. Groovy
   4. 3.4. Java
   5. 3.5. JAR files
   6. 3.6. .NET
   7. 3.7. Node.JS
   8. 3.8. PHP
   9. 3.9. PHP OPcache
   10. 3.10. Python
   11. 3.11. Rust
   12. 3.12. R
   13. 3.13. Spark
   14. 3.14. AWS Lambda
4. 4. Operating Systems support
5. 5. Containers on Graviton
6. 6. Headless website testing with Chrome and Puppeteer
7. 7. Kafka
8. 8. AMIs for Graviton
9. 9. AWS Managed Services available on Graviton
10. 10. Third-party Software Vendors
11. 11. HPC (High Perf Computing)
12. 12. Build HPC software
13. 13. FFmpeg Builder for AWS Graviton
15. Machine Learning
16. 14. PyTorch
17. 15. TensorFlow
18. 16. llama.cpp
19. 17. vLLM
20. 18. ONNX
22. Performance Runbook
23. 19. Pre-requisites and FAQ
24. 20. Introduction to Benchmarking
25. 21. System Load and Compute Headroom
26. 22. Defining your benchmark
27. 23. Configuring your load generator
28. 24. Configuring your system-under-test environment
29. 25. Debugging performance — “What part of the system is slow?”
30. 26. Debugging performance — “What part of the code is slow?”
31. 27. Debugging performance — “What part of the hardware is slow?”
32. 28. Optimizing performance
33. 29. Appendix — Additional resources
34. 30. References
36. Deep dive
37. 31. Linux Kernel
38. 32. Runtime feature detection
39. 33. DPDK, SPDK, and other datapath software
40. 34. Taking advantage of Arm Advanced SIMD instructions
41. 35. Assembly Optimization Guide for Graviton Arm64 Processors
42. 36. Profiling
44. Tools
45. 37. Overview
46. 38. Agent Skills
    1. 38.1. Java x86-to-Graviton Migration
49. How To Resources