Courses / AWS
92. Stateful scaling patterns (leader election & sharding)
Approaches for scaling stateful services, including leader-election and sharding basics.
Infrastructure as Code / Cloud (AWS, Terraform, CloudFormation)
Stateful scaling patterns (leader election & sharding)
Techniques for growing services that hold state while keeping data correct and available.
"I need more capacity, but I can't just start identical copies and let them all write the same data."
Stateful scaling patterns are approaches (like leader-election and sharding) that let you run multiple instances of a stateful service safely, by coordinating which instance owns which data or responsibilities. They prevent conflicts and enable growth without corrupting or duplicating state.
"I need more capacity, but I can't just start identical copies and let them all write the same data."
Stateful scaling patterns are approaches (like leader-election and sharding) that let you run multiple instances of a stateful service safely, by coordinating which instance owns which data or responsibilities. They prevent conflicts and enable growth without corrupting or duplicating state.