AWS RDS Deep Dive: Architecture, High Availability, and SRE Best Practices

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Amazon RDS is a fully managed AWS database service supporting engines such as PostgreSQL, MySQL, MariaDB, Oracle, SQL Server, and Aurora, designed to eliminate the operational burden of self-managed database clusters. Its Multi-AZ deployment model provisions a primary node and a warm standby across separate Availability Zones, using synchronous block-level writes to guarantee zero data loss and automatic DNS-based failover within 60–120 seconds. Up to 15 read replicas can be provisioned to offload analytics and reporting workloads, though asynchronous replication introduces a small lag that requires latency-sensitive reads to target the primary endpoint. Amazon Aurora enhances this architecture by decoupling compute from a distributed storage layer and using a 4-of-6 quorum write model across three Availability Zones, reducing network overhead and failover time. RDS Proxy sits between client applications and the database engine, pooling connections to prevent resource exhaustion and further cutting Multi-AZ failover time by up to 66%.

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