Amazon Relational Database Service (RDS)
Description
Comprehensive understanding of AWS RDS including database engines, Multi-AZ deployments, read replicas, backup strategies, and performance optimization for managed relational databases.
Learning Objectives
Learners will master RDS concepts including selecting appropriate database engines, configuring Multi-AZ deployments for high availability, implementing read replicas for performance scaling, setting up automated backups and point-in-time recovery, configuring database security, monitoring database performance, and optimizing costs for relational database workloads.
Topics (10)
Understanding MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server engines available in RDS, their features, licensing models, and use case recommendations.
Setting up Multi-AZ configurations, understanding synchronous replication, automatic failover processes, and maintenance benefits.
Creating and managing read replicas, understanding asynchronous replication, cross-region replicas, and read traffic distribution strategies.
Configuring automated backups, creating manual snapshots, implementing point-in-time recovery, and understanding backup retention policies.
Configuring database encryption, SSL/TLS connections, VPC security groups, database authentication, and compliance considerations.
Setting up CloudWatch monitoring, using Performance Insights, analyzing query performance, and implementing performance optimization strategies.
Understanding parameter groups, modifying database configurations, implementing best practices for different workload types, and change management.
Configuring maintenance windows, understanding automatic patching, planning major version upgrades, and implementing maintenance best practices.
Understanding migration tools, Database Migration Service (DMS), homogeneous and heterogeneous migrations, and minimizing downtime during migrations.
Understanding RDS pricing models, implementing Reserved Instances, right-sizing database instances, and monitoring cost optimization opportunities.