Nine High-Performance Optimization Techniques for Large-Scale Backend Architecture

This article presents nine comprehensive performance‑optimization strategies—including load balancing, sharding, read/write separation, caching, indexing, CDN, asynchronous processing, code refinement, and algorithm improvement—aimed at boosting the efficiency and scalability of large‑scale backend systems.

Index OptimizationPerformance Optimizationcaching

0 likes · 7 min read

Nine High-Performance Optimization Techniques for Large-Scale Backend Architecture

Wukong Talks Architecture

May 23, 2024 · Backend Development

Key Design Principles for High‑Concurrency Architecture and Read/Write Separation

This article explains the essential conditions, metrics, and scenario classifications for building high‑concurrency systems, then details common solutions such as database read/write separation, local and distributed caching, cache‑eviction policies, handling master‑slave lag, preventing cache penetration and avalanche, and applying CQRS to achieve scalable, high‑performance back‑end services.

CQRScachingdatabase

0 likes · 21 min read

Key Design Principles for High‑Concurrency Architecture and Read/Write Separation

ITFLY8 Architecture Home

May 21, 2021 · Backend Development

When Should You Adopt CQRS? Balancing Read and Write Models for Scalable Systems

This article examines how evolving software requirements can lock systems into rigid data models, explains the Command Query Responsibility Segregation (CQRS) pattern, and outlines when CQRS is beneficial or detrimental, helping architects decide if separating read and write models will improve scalability and maintainability.

CQRSScalabilitySoftware Architecture

0 likes · 8 min read

When Should You Adopt CQRS? Balancing Read and Write Models for Scalable Systems