📅 Day 16 | AWS RDS — Managed Database Service in AWS 🗄️☁️
Today, I learned about AWS RDS (Relational Database Service), which is a fully managed database service provided by AWS to easily set up, operate, and scale relational databases in the cloud.
AWS RDS helps teams focus on application development by handling database provisioning, backups, patching, scaling, and maintenance automatically.
🗄️ What is AWS RDS?
AWS RDS (Relational Database Service) allows you to run relational databases in AWS without managing the underlying infrastructure.
Supported Database Engines:
- MySQL
- PostgreSQL
- MariaDB
- Oracle
- SQL Server
- Amazon Aurora
🚀 Why Use AWS RDS?
- No manual database installation
- Automated backups and snapshots
- High availability with Multi-AZ
- Easy scaling of compute and storage
- Built-in monitoring using CloudWatch
- Secure access using VPC, Security Groups, and IAM
⚙️ Key Features of AWS RDS
- Multi-AZ Deployment → Automatic failover for high availability
- Read Replicas → Improve read performance
- Automated Backups → Point-in-time recovery
- Snapshots → Manual backups
- Encryption → Data at rest and in transit
🧩 AWS RDS in DevOps Workflow
- Backend database for applications
- Used in CI/CD pipelines
- Supports production and non-production environments
- Integrated with monitoring and alerting systems
🌍 Real-World Example
A web application running on EC2 / EKS uses AWS RDS to store application data.
The application scales automatically while RDS ensures data availability, security, and backups.
✅ Summary
AWS RDS is a core AWS service for building secure, scalable, and highly available applications and is widely used in production-level DevOps architectures.
Thank You
🔗 Connect With Me
| 🌐 Platform | 🔗 Link |
|---|---|
| 🐙 GitHub | https://lnkd.in/d2F3JPa3 |
| ✍️ Dev.to Blog | https://lnkd.in/dNtgqAME |
| https://lnkd.in/d3NctxFT | |
| 📄 Resume (Google Drive) | https://lnkd.in/dHDNsd_D |
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