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🌐 Distributed System P1: Why One Server Is Never Enough
TechCraft Official
5:07
🌐 Distributed System P2: Vì Sao Distributed Systems Luôn Khó
5:54
🌐 Distributed System P3: Vì Sao Hệ Thống Phải Sao Chép Dữ Liệu (Replication)
5:32
🌐 Distributed System P4: Sharding — Chia Database Để Scale Hệ Thống
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🌐 Distributed System P5: Consistency — When Data Is No Longer Identical
5:20
🌐 Distributed System P6: CAP Theorem — Three Things You Cannot Have at the Same Time
4:27
🌐 Distributed System P7: Consensus — Làm Sao Các Server Đồng Ý Với Nhau
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🌐 Distributed System P8: Leader Election — Làm Sao Hệ Thống Chọn Ra Leader
6:27
🌐 Distributed System P9: Distributed Locks — Khóa Tài Nguyên Trong Hệ Thống Phân Tán
5:59
🌐 Distributed System P10: Event-Driven Architecture — When Systems Communicate Using Events
🌐 Distributed System P11: Idempotency — Vì Sao Retry Có Thể Làm Hỏng Hệ Thống
5:40
🌐 Distributed System P12: Backpressure — When the System is Overloaded
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🌐 Distributed System P13: Hot Partitions — Khi Một Shard Bị Cháy
6:05
🌐 Distributed System P14: Cache Stampede — Khi Cache Sập Hàng Loạt
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🌐 Distributed System P15: Saga Pattern — Khi Transaction Chạy Qua Nhiều Services
🌐 Distributed System P16: Observability — When the System Fails But You Don't Know Why
5:12
🌐 Distributed System P17: Auto Scaling — Khi Hệ Thống Tự Mở Rộng
4:55
🌐 Distributed Systems P18: How Systems Distribute Traffic
6:34
🌐 Distributed System P19: Distributed Cache — When Data is Stored Across the System
🌐 Distributed System P20: Circuit Breaker — When the System Disconnects Automatically to Prevent ...
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🌐 Distributed System P21: Retry Pattern — Khi Nên Thử Lại Và Khi Nên Dừng
5:28
🌐 Distributed System P22: Rate Limiting — Khi Hệ Thống Phải Từ Chối Request
🌐 Distributed System P23: Service Mesh — When a System Has Hundreds of Services
4:31
🌐 Distributed System P24: Blue-Green Deployment — Downtime-Free System Deployment
5:10
🌐 Distributed System P25: Canary Deployment — Deploy Phiên Bản Mới Với 1% Traffic