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
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
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.