Distributed Transactions with 2-Phase Commit | Data Consistency in Microservices

Publicado em: 14 Julho 2025
no canal de: Lazy Programmer

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Welcome back to our System Design Series!
In this episode, we dive deep into one of the most fundamental concepts in distributed systems: Distributed Transactions starting with the 2-Phase Commit Protocol (2PC).

When working with microservices architecture, ensuring data consistency across services like Inventory, Payment, and Order becomes a challenge. What happens when one service succeeds but another fails? That’s where distributed transactions come in and 2PC is the basic protocol to coordinate them.

🔍 What You'll Learn in This Video:

Why data consistency is hard in microservices

Real-world example: placing an order across Inventory, Payment, and Order services

The need for distributed transactions in microservice-based systems

🔄 What is 2-Phase Commit and how it works

Phase 1: Prepare Phase

Phase 2: Commit Phase

✅ How 2PC ensures atomicity across distributed services

⚠️ Major problems with 2PC

Blocking resources

Single point of failure

Tight coupling and synchronous communication

Poor fault tolerance

🧠 When does 2PC still make sense?

💡 What's next after 2PC a glimpse into 3-Phase Commit, Saga Pattern, and Outbox Pattern

📌 This video is essential for backend engineers, architects, and anyone serious about learning system design and microservices best practices.

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#SystemDesign #DistributedSystems #2PC #Microservices #DistributedTransactions #Atomicity #Consistency #BackendEngineering #SoftwareArchitecture #SagaPattern #OutboxPattern #CloudNative #DesignPatterns #TechEducation
#RateLimiting #Throttling #Microservices #SystemDesign #DistributedSystems #NetflixArchitecture #TechExplained #CloudArchitecture #BackendEngineering #Scalability

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