🔄 Definition — The Saga pattern is a design pattern used to manage distributed transactions in microservices by breaking them into a series of smaller, local transactions.
🧩 Components — Each local transaction updates the database and triggers the next transaction through events or messages.
⚙️ Coordination — Sagas can be coordinated using either choreography, where each service listens for events, or orchestration, where a central coordinator manages the process.
🔄 Compensating Transactions — If a transaction step fails, compensating transactions are executed to undo the changes made by previous steps.
📈 Use Case — 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
🔄 Choreography — 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.
🎯 Orchestration — 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.
🔔 Event-Driven — Choreography relies heavily on an event-driven architecture, where services communicate through events, often using message brokers.
🕹️ Central Control — Orchestration provides a single point of control, which can simplify error handling and compensating transactions.
🔄 Flexibility — Choreography offers more flexibility and resilience to changes, as services are loosely coupled and can evolve independently.
Advantages and Disadvantages
👍 Advantages — The Saga pattern allows for distributed transaction management without the need for a central transaction manager, improving system resilience and scalability.
🔄 Non-Blocking — Unlike 2PC, the Saga pattern does not block resources, allowing for better performance and availability.
🔄 Fault Tolerance — Sagas can handle failures gracefully by executing compensating transactions, maintaining data consistency.
👎 Disadvantages — Implementing compensating transactions can be complex, and ensuring eventual consistency requires careful design.
🔄 Complexity — The pattern can introduce complexity in terms of managing the sequence of transactions and handling failures.
Real-World Examples
🛒 E-commerce — In an e-commerce application, the Saga pattern can manage order processing, payment, inventory updates, and shipping as separate transactions.
🏦 Banking — Financial applications use sagas to handle transactions like money transfers, where each step (debit, credit) is a separate transaction.
🚚 Logistics — In logistics, sagas manage the sequence of operations like order placement, inventory check, and delivery scheduling.
🎟️ Ticketing — Ticket booking systems use sagas to handle seat reservation, payment processing, and ticket issuance.
🏥 Healthcare — In healthcare systems, sagas manage patient data updates across different services like appointment scheduling, billing, and medical records.
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