scaling-patterns

The Saga pattern orchestrates distributed transactions across microservices by coordinating a sequence of local transactions with explicit compensation steps. This Skill generates orchestration plans and configuration assets to handle rollback scenarios and maintain data consistency.

CQRS and Event Sourcing separate read and write models by persisting domain state as a sequence of immutable events. This Skill scaffolds write/read models and event streams, enabling scalable queries and reliable auditing for distributed architectures.

Implementing resilience patterns like Circuit Breaker and Bulkhead in distributed systems isolates failures and prevents cascading service outages. This Skill provides reference implementations and validation tooling to configure retries and bulkhead resource limits.

Yes, this approach supports event-driven architectures with AI-assisted workflows by applying integration patterns for tool-use and autonomous operations. It guides service decomposition and communication strategies tailored for AI agent interactions.

Yes, you can use pyyaml configuration to validate and bootstrap microservices scaling patterns. This Skill relies on pyyaml to parse explicit configuration assets, generating reference implementations and validation tooling for patterns like Saga and CQRS.