Courses / AWS
93. Scaling-backed datastore patterns
Design patterns for horizontally scaling datastores including read replicas and partitioning.
Infrastructure as Code / AWS
Scaling-backed datastore patterns
Techniques to let a datastore grow horizontally by adding read replicas and partitioning so it handles more traffic and data.
"I need my database to stay fast as traffic and data grow, without rewriting the app every time."
Scaling-backed datastore patterns are designs that split or duplicate data storage (read replicas, sharding/partitioning) so reads and writes scale separately and capacity increases without central bottlenecks.
"I need my database to stay fast as traffic and data grow, without rewriting the app every time."
Scaling-backed datastore patterns are designs that split or duplicate data storage (read replicas, sharding/partitioning) so reads and writes scale separately and capacity increases without central bottlenecks.