adding summary and faqs

Author: anupras-mohapatra-arm

content/learning-paths/servers-and-cloud-computing/mysql_tune/_index.md

@@ -15,9 +15,57 @@ prerequisites:
     - On-prem or cloud [installation of MySQL](https://dev.mysql.com/doc/refman/en/)
     - A repeatable MySQL workload or benchmark that you can run before and after tuning
 
+# START generated_summary_faq
+generated_summary_faq:
+  template_version: summary-faq-v3
+  generated_at: '2026-06-26T21:28:59Z'
+  generator: ai
+  ai_assisted: true
+  ai_review_required: true
+  model: gpt-5
+  prompt_template: summary-faq-v3
+  source_hash: 19acf30951401ec15201ee8e387eb59f9248f627664bc693cf05928233bf2b6f
+  summary_generated_at: '2026-06-26T21:28:59Z'
+  summary_source_hash: 19acf30951401ec15201ee8e387eb59f9248f627664bc693cf05928233bf2b6f
+  faq_generated_at: '2026-06-26T21:28:59Z'
+  faq_source_hash: 19acf30951401ec15201ee8e387eb59f9248f627664bc693cf05928233bf2b6f
+  summary: >-
+    You'll learn how to use a measurement-driven approach to tune MySQL on Arm-based platforms.
+    You'll explore system factors — storage technology and file systems,
+    disk scheduling, kernel memory management, compiler, and library versions — that you can adjust. In addition, you'll focus on MySQL parameters related to connection
+    handling, memory usage, disk flush behavior, and concurrency, and learn how to enable and
+    size huge pages based on the InnoDB buffer pool. By the end, you'll know what parameters to update for running controlled experiments,
+    and be able to make persistent configuration choices aligned with your workload.
+  faqs:
+  - question: How do I know a MySQL tuning change actually helped?
+    answer: >-
+      Run the same repeatable workload before and after the change and compare throughput, latency,
+      and profiles. Change one parameter at a time or use a designed experiment so results are
+      attributable to specific settings.
+  - question: Should I set MySQL parameters in an option file or on the mysqld command line?
+    answer: >-
+      Use an option file for persistent tuning so changes are reviewable, version controlled,
+      and applied on restart. The examples target the [mysqld] group; command-line flags are suitable
+      for temporary tests.
+  - question: Which storage option should I use when testing performance?
+    answer: >-
+      In general, locally attached SSD storage performs best, but network-based storage can also
+      perform well. Test the storage technologies and file systems you have, and review disk scheduling
+      behavior with your workload.
+  - question: When should I look at kernel, compiler, or library choices instead of MySQL settings?
+    answer: >-
+      Evaluate them before or alongside MySQL tuning because operating system settings, kernel
+      memory management, compiler choices, and library versions can affect throughput and latency.
+      Treat them as part of the same performance experiment set.
+  - question: How should I size huge pages for MySQL?
+    answer: >-
+      Enable huge pages for MySQL and size them based on the InnoDB buffer pool. This aligns page
+      allocation with the primary memory consumer in typical MySQL deployments.
+# END generated_summary_faq
+
 author: Julio Suarez
 
-generate_summary_faq: true
+generate_summary_faq: false
 rerun_summary: false
 rerun_faqs: false