spring-boot-saga-pattern

Coordinates distributed transactions across Spring Boot microservices using compensating actions and Kafka or RabbitMQ messaging.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill spring-boot-saga-pattern-rizaldiem
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Skill: spring-boot-saga-pattern
Source: https://github.com/rizaldiem/digital-invitation-web_V2/tree/main/.windsurf/skills/spring-boot-saga-pattern
Command: npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill spring-boot-saga-pattern-rizaldiem

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinating and recovering distributed transactions across multiple Spring Boot microservices without using distributed locks or two-phase commit, ensuring eventual consistency and safe rollback via compensating transactions.

Core Features & Use Cases

  • Choreography and Orchestration: Guidance and examples for both event-driven choreography (Spring Cloud Stream + Kafka/RabbitMQ) and centralized orchestration (Axon, Eventuate, Camunda).
  • Compensating Transactions & Idempotency: Patterns and example code to design idempotent compensations, retry policies, semantic locks, and dead-letter handling.
  • State Persistence, Monitoring & Testing: Recommendations for persisting saga state, timeouts, observability (Micrometer, Sleuth/Zipkin), and integration testing with Testcontainers.
  • Use Case: E-commerce order processing spanning Order → Payment → Inventory → Shipment with automatic compensation on failure.

Quick Start

Implement a choreography-based saga in Spring Boot using Kafka to coordinate Order → Payment → Inventory with idempotent compensations and persisted saga state.

Frequently Asked Questions about spring-boot-saga-pattern

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage distributed transactions across Spring Boot microservices?

Distributed transactions across Spring Boot microservices can be managed using the saga pattern, ensuring eventual consistency and safe rollback via compensating transactions without distributed locks or two-phase commit.

What is the difference between choreography and orchestration for a saga?

Choreography uses event-driven coordination via Spring Cloud Stream with Kafka or RabbitMQ, whereas orchestration relies on centralized coordination using frameworks like Axon, Eventuate, or Camunda to manage the saga flow.

How do I implement compensating transactions and handle idempotency in a saga?

Compensating transactions in a saga handle rollback during failures, requiring idempotent operations, retry policies, semantic locks, and dead-letter handling to ensure safe and reliable multi-step workflow execution.

Can I use Kafka with Spring Boot to coordinate an order processing saga?

Kafka can be used with Spring Boot to coordinate a choreography-based saga for order processing, linking steps like Order, Payment, and Inventory with idempotent compensations and persisted saga state.

How do I persist saga state and monitor timeouts in Spring Boot microservices?

Saga state persistence and timeout monitoring in Spring Boot involve tracking the transaction lifecycle, using Micrometer and Sleuth or Zipkin for observability, and testing integration with Testcontainers.

When do I need the saga pattern for eventual consistency in microservices?

The saga pattern is needed for eventual consistency in microservices handling multi-step workflows like e-commerce order processing, where failures require automatic compensating transactions to safely rollback previous steps.