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

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.

🔔 Subscribe for more deep dives into Microservices, System Design, and Cloud Architecture.
👍 Like | 💬 Comment | 📤 Share

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

To check out more on the tutorials Topic wise you can follow below links

Links:

Please do checkout other tutorial videos also if required:

Spring Framework:    • Spring Framework  

DevOps:    • DevOps  

Java Design Patterns:    • Design Patterns  

Java 8 Features:    • Java 8  

Core Java Complete Tutorial:    • Core Java Complete Guide  

Interview Preparation for Java:    • Interview Preparation Java  

Python:    • Python  

Linux:    • Linux  

Please do LIKE, Share and SUBSCRIBE

Thank You
Database Sharding, Sharding Explained, Data Hotspot, Optimal Sharding Key, Database Scaling, Cardinality in Sharding, Frequency in Sharding, Monotonic Change in Sharding, Database Architecture, System Design, Scalable Databases, Backend Architecture, Sharding Key Selection, Avoiding Data Hotspots, Hash Based Sharding, Database Performance, Sharding Strategies, Distributed Databases, High Scalability Databases, Backend Engineering, System Design for Beginners, Database Optimization, Sharding Mistakes, Database Partitioning, Black Friday Scaling, Auto Increment ID Sharding, Range Based Sharding, Hash Based Distribution, Composite Sharding Key, Handling Hotspots, Microservices Database Design