API optimization

macrozheng

Mar 28, 2025 · Backend Development

Boost API Performance: 12 Proven Backend Optimization Techniques

This article presents a comprehensive set of backend optimization strategies—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, program refactoring, pagination, SQL tuning, and fine‑grained locking—to dramatically reduce API latency and improve system efficiency.

API optimizationCachingSQL indexing

0 likes · 10 min read

Boost API Performance: 12 Proven Backend Optimization Techniques

Java Architect Essentials

Dec 5, 2023 · Backend Development

Comprehensive Interface Performance Optimization Strategies

This article presents a collection of practical backend interface optimization techniques—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, code restructuring, pagination, SQL tuning, and lock granularity—to reduce latency and improve overall system efficiency.

API optimizationCachingPerformance

0 likes · 10 min read

Comprehensive Interface Performance Optimization Strategies

Sanyou's Java Diary

Jul 20, 2023 · Backend Development

18 Proven Strategies to Supercharge Backend API Performance

This article shares eighteen practical techniques—including batch database operations, asynchronous processing, caching, prefetching, pooling, event callbacks, parallel remote calls, lock granularity, file‑based storage, indexing, SQL tuning, transaction management, deep pagination fixes, compression, NoSQL alternatives, thread‑pool design, and machine‑level optimizations—to dramatically reduce API latency from seconds to milliseconds.

API optimizationJavaPerformance

0 likes · 19 min read

18 Proven Strategies to Supercharge Backend API Performance

IT Architects Alliance

Apr 23, 2023 · Backend Development

Common Interface Performance Optimization Strategies

This article outlines a comprehensive set of backend interface optimization techniques—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction sizing, code restructuring, deep pagination, SQL tuning, and lock granularity—to reduce latency and improve overall system efficiency.

API optimizationAsynchronous ExecutionCaching

0 likes · 8 min read

Common Interface Performance Optimization Strategies

Architect

Apr 20, 2023 · Backend Development

Common Interface Performance Optimization Strategies

This article summarizes practical techniques for reducing API latency, including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction size control, program structure refactoring, deep pagination handling, SQL tuning, and proper lock granularity.

API optimizationCachingIndexing

0 likes · 9 min read

macrozheng

Apr 3, 2023 · Backend Development

Boost API Performance: 11 Proven Backend Optimization Techniques

This article presents a comprehensive set of backend API optimization strategies—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction management, code restructuring, deep pagination, SQL tuning, and lock granularity—to dramatically reduce response times and improve system efficiency.

API optimizationCachingIndexing

0 likes · 10 min read

Boost API Performance: 11 Proven Backend Optimization Techniques

DaTaobao Tech

Oct 18, 2022 · Frontend Development

Client‑Side Interface Performance Optimization: Analysis and Solutions

Client‑side developers can boost API speed and user experience by collaborating with back‑end teams to cut server processing and network latency, using caching, concurrency, smaller or UDP‑based packets, and aggressively pruning or compressing payloads, which can shrink megabyte responses to tens of kilobytes and shave dozens of milliseconds off latency.

API optimizationCachingPerformance

0 likes · 9 min read

Client‑Side Interface Performance Optimization: Analysis and Solutions

HomeTech

Jan 6, 2021 · Backend Development

Using GraphQL to Reduce API Calls and Manage Data Complexity in Frontend Development

The article explains how the rapid growth of API endpoints and data fields in complex business scenarios can be mitigated by introducing a GraphQL middle‑layer built with Node.js, detailing schema design, resolvers, performance considerations, tooling, custom scalars, response formatting, caching, and security measures.

API optimizationGraphQLNode.js

0 likes · 15 min read

Using GraphQL to Reduce API Calls and Manage Data Complexity in Frontend Development