✅I got insights of three powerful data management services: 1) Amazon Relational Database Service (RDS), 2) Amazon DynamoDB, 3) AWS Lambda (serverles). 
✅These technologies opened doors to new possibilities for managing and manipulating data in the cloud. 1). Building Databases in the Cloud: Creating and Managing RDS and DynamoDB. ➡ First, I explored RDS, the managed database service for relational databases like MySQL.etc. I learned to create and manage RDS instances, configuring storage, security groups, and database settings. Inserting and deleting data using SQL queries. ➡ Next, I tried to understand NoSQL with DynamoDB as I learned how to create DynamoDB tables.etc. 
2). Bridging the Gap: Connecting RDS and EC2 with DynamoDB and Lambda ➡ The real magic happened when I connected these services. I learned how to connect an RDS instance to an EC2 instance, enabling applications running on EC2 to access and manipulate data stored in RDS. Similarly, I discovered how to connect a Lambda function to a DynamoDB table, allowing serverless code to trigger actions and process data as needed. 
✨This hands-on experience helps to understand how these services work together to create powerful and scalable cloud architectures.

✅I got insights of three powerful data management services:  
1) Amazon Relational Database Service (RDS),  
2) Amazon DynamoDB,  
3) AWS Lambda (serverles).  
  
✅These technologies opened doors to new possibilities for managing and manipulating data in the cloud.  
1). Building Databases in the Cloud: Creating and Managing RDS and  
DynamoDB.  
➡ First, I explored RDS, the managed database service for relational databases like MySQL.etc. I learned to create and manage RDS instances, configuring storage, security groups, and database settings. Inserting and deleting data using SQL queries.  
➡ Next, I tried to understand NoSQL with DynamoDB as I learned how to create DynamoDB tables.etc.  
  
2). Bridging the Gap: Connecting RDS and EC2 with DynamoDB and Lambda  
➡ The real magic happened when I connected these services. I learned how to connect an RDS instance to an EC2 instance, enabling applications running on EC2 to access and manipulate data stored in RDS. Similarly, I discovered how to connect a Lambda function to a DynamoDB table, allowing serverless code to trigger actions and process data as needed.  
  
✨This hands-on experience helps to understand how these services work  
together to create powerful and scalable cloud architectures.

🚀Day 16 - Diving Deeper into the Cloud - (RDS, DynamoDB, Lambdas & CLI)