Chapter 5: Saga Pattern for Distributed Transactions

In this section

• 5.1 Introduction to Sagas
  • Saga Pattern: Definition and Purpose in Distributed Transactions
    Explore the Saga Pattern, a crucial design pattern for managing distributed transactions in microservices architectures, ensuring data consistency without traditional ACID transactions.
  • Sagas vs. Traditional Transaction Models
    Explore the differences between sagas and traditional transaction models in distributed systems, focusing on scalability, resilience, and performance.
  • When to Use Sagas: Leveraging Sagas for Distributed Transactions in Event-Driven Architectures
    Explore when to use the Saga pattern in distributed transactions, focusing on high availability, scalability, and complex business processes in event-driven architectures.
• 5.2 Types of Sagas
  • Choreography-Based Sagas in Event-Driven Architecture
    Explore the decentralized coordination of choreography-based sagas in distributed transactions, highlighting their advantages, challenges, and implementation strategies.
  • Orchestration-Based Sagas: Centralized Coordination in Distributed Transactions
    Explore orchestration-based sagas in event-driven architectures, focusing on centralized coordination, communication flow, advantages, challenges, and implementation best practices.
  • Hybrid Approaches in Saga Patterns for Distributed Transactions
    Explore hybrid approaches in saga patterns, combining choreography and orchestration for effective distributed transaction management.
• 5.3 Implementing Sagas in EDA
  • Designing Compensation Actions in Saga Patterns for Distributed Transactions
    Explore the design and implementation of compensation actions in Saga patterns, essential for maintaining consistency in distributed transactions within event-driven architectures.
  • Managing Saga State in Distributed Transactions
    Explore strategies for managing saga state in distributed transactions, including persistence, concurrency handling, and recovery mechanisms, with practical examples.
  • Saga Management Tools and Frameworks for Distributed Transactions
    Explore popular tools and frameworks for implementing sagas in event-driven architectures, including Spring Cloud Sleuth, Axon Framework, Temporal.io, and more.
• 5.4 Best Practices and Common Pitfalls
  • Ensuring Idempotency in Sagas: Best Practices for Reliable Distributed Transactions
    Explore the critical role of idempotency in sagas for distributed transactions, with strategies for designing idempotent operations and handlers, ensuring reliable and consistent outcomes in event-driven architectures.
  • Handling Failure Scenarios in Saga Patterns for Distributed Transactions
    Explore strategies for handling failure scenarios in saga patterns, including compensating actions, retry mechanisms, and monitoring systems to ensure system consistency and reliability.
  • Monitoring and Observability of Sagas: Ensuring Robustness in Distributed Transactions
    Explore the intricacies of monitoring and observability in sagas, focusing on key metrics, logging practices, tracing tools, and continuous improvement strategies to enhance the reliability and performance of distributed transactions.