1*) Amazon RDS (Relational Database Service)*
Service Overview
Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale relational databases in the cloud.
Key Features
1.Supports MySQL, PostgreSQL, MariaDB, Oracle, SQL Server
2.Automated backups & snapshots
3High availability with Multi-AZ deployment
4.Automatic patching & maintenance
5.Read replicas for performance scaling
6.Built-in security (encryption, IAM, VPC)
AWS Category / Cloud Domain
1.Database
2.Managed Relational Database
Where It Fits in Cloud / DevOps Lifecycle
1.Application data storage
2.Used in development, testing, and production
3.Supports CI/CD pipelines with stable backend databases
4.Part of Operate & Monitor phase
Programming Language / Access Methods
1.Accessed using SQL
2.Works with Java, Python, PHP, Node.js, .NET, etc.
4.Access via:
-AWS Console
- AWS CLI
- AWS SDKs Pricing Model 1.Pay-as-you-go 2.Charged based on:
- Instance type
Storage used
I/O operations
Backup storage
2) Amazon DynamoDB
Service Overview
Amazon DynamoDB is a fully managed NoSQL key-value and document database designed for high performance and scalability.
Key Features
Serverless (no infrastructure management)
Extremely low latency (milliseconds)
Automatic scaling
Built-in high availability & replication
Supports event-driven architectures
Integrated security with IAM
AWS Category / Cloud Domain
Database
NoSQL Database
Serverless Database
Where It Fits in Cloud / DevOps Lifecycle
Used in cloud-native & microservices applications
Ideal for real-time apps, IoT, mobile backends
Fits into Build, Deploy & Operate stages
Works well with DevOps automation
Programming Language / Access Methods
No SQL (uses key-value / JSON documents)
Supported languages:
Python, Java, JavaScript, Go, .NET
Access via:
AWS Console
AWS CLI
AWS SDKs
API calls
Pricing Model
Pay-per-request or provisioned capacity
Charged for:
Read/write requests
Storage
Data transfer
Free tier available
Quick Comparison (For Exams)
Feature
RDS
DynamoDB
Database Type
Relational (SQL)
NoSQL
Schema
Fixed
Flexible
Scaling
Manual/Read replicas
Automatic
Use Case
Traditional apps
High-scale apps
Serverless
❌ No
✅ Yes
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