05,06,07 updates

Author: terhunej

content/modernizr/05-app-refactoring/index.en.md

@@ -8,9 +8,9 @@ chapter: true
 
 ## Building the Control System for Your Migration
 
-Stage 5 is where you build the actual control system that lets you safely switch between MySQL and DynamoDB. Think of this as building the cockpit controls for a spaceship - you need precise controls to navigate the transition from your old database system to the new one without crashing anything.
+Stage 5 is where you build the actual control system that lets you safely switch between MySQL and DynamoDB. This provides the precise controls needed to navigate the transition from your old database system to the new one without issues.
 
-This stage takes the dual database abstraction layer from Stage 3 and the DynamoDB connectivity from Stage 4, then adds the **feature flag** API system that gives you complete control over your migration process.
+This stage takes the dual database abstraction layer from Stage 3 and the DynamoDB connectivity from Stage 4, then adds the **feature flag** API system that gives you complete control over your migration process. Feature Flags allow you to easily enable or disable features without the need to modify source code or deploy new software.
 
 ## What You'll Build
 

content/modernizr/06-data-movement/etl-05.en.md

@@ -6,7 +6,7 @@ weight: 35
 chapter: false
 ---
 
-Now that your data has been successfully migrated to DynamoDB, it's time to access the admin portal that controls your feature flag system from Stage 5. Think of this as getting the keys to your spaceship's control panel - you need special administrator access to safely control the migration between databases.
+Now that your data has been successfully migrated to DynamoDB, it's time to access the admin portal that controls your feature flag system from Stage 5. You need special administrator access to safely control the migration between databases.
 
 The admin portal is where you'll manage the transition from MySQL-only operation to DynamoDB-only operation through the 5 migration phases you learned about in Stage 5.
 

content/modernizr/06-data-movement/etl-06.en.md

@@ -8,7 +8,7 @@ chapter: false
 
 Now comes the most exciting part - actually testing your migration system with real user actions! You'll see firsthand how the feature flag system controls where data goes, and you'll prove that your migration from MySQL to DynamoDB actually works.
 
-Think of this as taking your newly built spaceship for a test flight - you want to see all the systems working together before you declare the mission successful.
+This is your test flight - you want to see all the systems working together before you declare the mission successful.
 
 ### Monitoring the Migration Process
 
@@ -92,7 +92,7 @@ Finally, check your MySQL user views. You should NOT see the completed order the
 
 ![Migration control panel](/static/images/modernizr/6/stage06-32.png)
 
-This confirms the Phase 5  configuration is working correctly, your application is truly running on DynamoDB, MySQL is no longer part of your active system and the migration is functionally complete.
+This confirms the Phase 5 configuration is working correctly, your application is truly running on DynamoDB, MySQL is no longer part of your active system and the migration is functionally complete.
 
 ## What You've Accomplished
 

content/modernizr/06-data-movement/index.en.md

@@ -7,7 +7,7 @@ chapter: true
 
 ## Moving the data from MySQL to DynamoDB
 
-At this point, we have created the dual database layer that allows our application to connect to DynamoDB and MySQL, we have configured the connectivity to DynamoDB, and we have refactored the entire application implementing the applicaton access patterns we need to support. What we need to do is to gradually move the data from one database to the other. There are several approaches you can follow in this regards, however we have choosen to use a Dual Write approach, where we will be sending data gradually to the DynamoDB table. This process consists of 5 different stages. 
+At this point, we have created the dual database layer that allows our application to connect to DynamoDB and MySQL, we have configured the connectivity to DynamoDB, and we have refactored the entire application implementing the applicaton access patterns we need to support. Now we need to do is to gradually move the data from one database to the other. There are several approaches you can follow in this regards, however we have choosen to use a Dual Write approach, where we will be sending data gradually to the DynamoDB table. This process consists of 5 different stages. 
 
 ## Phase 1: MySQL Only (Baseline State)
 
@@ -114,6 +114,6 @@ This process will consist of 3 different actions:
 
 1. Using the `migrationContract.json` generate MySQL views, and use MySQL MCP server to create them. 
 2. Using the DynamoDB MCP server create the respective DynamoDB tables that are specified in the `migrationContract.json`
-3. Create the Glue ETL scripts and run them to move the data from MySQL to DynamoDB using the Data processing MCP server (Glue MCP Server).
+3. Create the Glue ETL scripts and run them to move bulk data from MySQL to DynamoDB using the Data processing MCP server (Glue MCP Server).
 
 

content/modernizr/07-conclusion/index.en.md

@@ -64,7 +64,7 @@ Database migrations are among the most critical operations in software developme
 
 While AI tools like `Cline` can generate a lot of code and configurations automatically, you still need to understand the fundamentals to:
 
-- **Validate AI Output**: AI tools sometimes make mistakes or choose suboptimal approaches. You need to understand enough to spot problems and ask better questions.
+- **Validate AI Output**: AI tools can often be a little too "creative" and may make mistakes or choose suboptimal approaches. You need to understand enough to spot problems and ask better questions.
 - **Debug Issues**: When something goes wrong in production (and it will), you need to understand the underlying systems to diagnose and fix problems quickly.
 - **Make Design Decisions**: AI can implement solutions, but you need to decide what problems to solve and what trade-offs to make.
 - **Optimize Performance**: Fine-tuning database performance requires deep understanding of how data flows through your system.