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🏗️ Ensuring Data Consistency in Microservices: Key Strategies & Patterns
3 min read1 day ago
Introduction
Data consistency is a critical challenge in microservices architecture, where multiple services interact asynchronously. Without proper consistency mechanisms, race conditions, stale reads, and data corruption can occur. In this article, we explore the top five data consistency strategies that ensure reliability and correctness in a distributed system.
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- Java — All things Java-related.
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🔄 1. Saga Pattern — Handling Distributed Transactions
The Saga Pattern manages long-running transactions through a sequence of local transactions. If one transaction fails, the previous ones are compensated (rolled back).
Implementation Steps:
- Choreography (Event-driven) — Services listen to events…
