π Definition β The Saga pattern is a design pattern used to manage distributed transactions in microservices by breaking them into a series of smaller, local transactions.
𧩠Components β Each local transaction updates the database and triggers the next transaction through events or messages.
βοΈ Coordination β Sagas can be coordinated using either choreography, where each service listens for events, or orchestration, where a central coordinator manages the process.
π Compensating Transactions β If a transaction step fails, compensating transactions are executed to undo the changes made by previous steps.
π Use Case β The Saga pattern is particularly useful in systems where traditional ACID transactions are not feasible due to the distributed nature of microservices.
Saga Pattern Approaches
π Choreography β In this approach, each service involved in the saga listens for events and performs its transaction when triggered by an event. This method is decentralized and allows services to operate independently.
π― Orchestration β This approach uses a central coordinator to manage the sequence of transactions. The orchestrator directs each service on what action to take and when, providing a more controlled flow.
π Event-Driven β Choreography relies heavily on an event-driven architecture, where services communicate through events, often using message brokers.
πΉοΈ Central Control β Orchestration provides a single point of control, which can simplify error handling and compensating transactions.
π Flexibility β Choreography offers more flexibility and resilience to changes, as services are loosely coupled and can evolve independently.
Advantages and Disadvantages
π Advantages β The Saga pattern allows for distributed transaction management without the need for a central transaction manager, improving system resilience and scalability.
π Non-Blocking β Unlike 2PC, the Saga pattern does not block resources, allowing for better performance and availability.
π Fault Tolerance β Sagas can handle failures gracefully by executing compensating transactions, maintaining data consistency.
π Disadvantages β Implementing compensating transactions can be complex, and ensuring eventual consistency requires careful design.
π Complexity β The pattern can introduce complexity in terms of managing the sequence of transactions and handling failures.
Real-World Examples
π E-commerce β In an e-commerce application, the Saga pattern can manage order processing, payment, inventory updates, and shipping as separate transactions.
π¦ Banking β Financial applications use sagas to handle transactions like money transfers, where each step (debit, credit) is a separate transaction.
π Logistics β In logistics, sagas manage the sequence of operations like order placement, inventory check, and delivery scheduling.
ποΈ Ticketing β Ticket booking systems use sagas to handle seat reservation, payment processing, and ticket issuance.
π₯ Healthcare β In healthcare systems, sagas manage patient data updates across different services like appointment scheduling, billing, and medical records.
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