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AWS
Amazon RDS
Amazon RDS
Curriculum
8 Sections
29 Lessons
10 Weeks
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Introduction to Amazon RDS
3
1.0
Overview of Amazon RDS and its purpose
1.1
Supported database engines: MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Amazon Aurora
1.2
Key benefits: Managed service, scalability, and automated backups
Setting Up Amazon RDS
4
2.0
Steps to create an RDS instance
2.1
Choosing the right database engine and instance type
2.1
Configuring storage and networking settings
2.2
Initializing a database and connecting to it
Security and Access Management
4
3.0
Securing RDS instances with IAM roles and policies
3.1
Configuring network security groups and VPC settings
3.2
Using SSL/TLS for secure database connections
3.3
Managing database users and permissions
Backup and Recovery
4
4.0
Understanding automated backups and snapshots
4.1
Restoring databases from backups
4.2
Implementing multi-AZ deployments for high availability
4.3
Configuring read replicas for scalability and failover
Performance Optimization
4
5.0
Monitoring RDS performance using Amazon CloudWatch
5.1
Understanding key performance metrics
5.1
Implementing best practices for database tuning
5.2
Using parameter groups and instance classes to optimize performance
Maintenance and Monitoring
4
6.0
Overview of automated maintenance: Patching, upgrades, and backups
6.1
Monitoring RDS instances through the AWS Management Console
6.2
Handling common operational tasks: Scaling, modifying, and restarting instances
6.3
Troubleshooting common RDS issues
Cost Management
3
7.0
Understanding RDS pricing models
7.1
Optimizing costs with Reserved Instances and on-demand pricing
7.2
Managing storage costs through automated storage scaling
Integration with AWS Services
3
8.0
Integrating RDS with other AWS services like Lambda, EC2, and S3
8.0
Using RDS in combination with AWS Glue and Redshift for data analytics
8.1
Best practices for data migration to RDS using AWS DMS (Database Migration Service)
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