BestHub
Sign in
Tagged articles
19 articles
Page 1 of 1
SpringMeng
SpringMeng
Jan 8, 2026 · Backend Development

How to Cut API Latency from Seconds to Milliseconds: Elegant Optimization Techniques

This article walks through a series of practical backend techniques—batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction management, pagination, and lock granularity—to dramatically reduce API response times from several seconds to just a few milliseconds.

API optimizationAsynchronousBatch Processing
0 likes · 9 min read
How to Cut API Latency from Seconds to Milliseconds: Elegant Optimization Techniques
Architect's Tech Stack
Architect's Tech Stack
Dec 24, 2025 · Backend Development

10 Proven Techniques to Supercharge API Performance in Java Applications

This article presents a comprehensive, step‑by‑step guide to optimizing Java‑based API interfaces, covering batch processing, asynchronous execution, caching, pre‑processing, pooling, transaction handling, pagination, SQL tuning, lock granularity, and code restructuring, with practical code examples and diagrams.

API optimizationAsynchronousBatch Processing
0 likes · 10 min read
10 Proven Techniques to Supercharge API Performance in Java Applications
macrozheng
macrozheng
Aug 15, 2025 · Backend Development

10 Proven Strategies to Supercharge API Performance in Spring Boot

This article presents a comprehensive guide to optimizing API performance in Spring Boot projects, covering batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction management, code refactoring, pagination, SQL tuning, and lock granularity, complete with code examples and diagrams.

API optimizationBackend PerformanceSpring Boot
0 likes · 10 min read
10 Proven Strategies to Supercharge API Performance in Spring Boot
Tech Freedom Circle
Tech Freedom Circle
Aug 14, 2025 · Backend Development

10 Proven Techniques to Optimize API Latency from 11 s to 170 ms – A Meituan Interview Case

The article presents a step‑by‑step analysis of how to shrink a 11‑second API response to 170 ms by applying batch database writes, Redis pipeline, asynchronous processing, thread‑pool design, local‑memory buffering, MQ integration, and other performance‑tuning patterns, backed by real‑world benchmarks and code samples.

API optimizationAsyncJava
0 likes · 48 min read
10 Proven Techniques to Optimize API Latency from 11 s to 170 ms – A Meituan Interview Case
Java Interview Crash Guide
Java Interview Crash Guide
Jul 3, 2025 · Backend Development

10 Proven Strategies to Supercharge API Performance in Java

This article presents a comprehensive, step‑by‑step guide to optimizing API latency by applying batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelism, indexing, transaction management, code refactoring, pagination, SQL tuning, and fine‑grained locking techniques.

API optimizationBatch ProcessingSQL Tuning
0 likes · 10 min read
10 Proven Strategies to Supercharge API Performance in Java
Architect's Tech Stack
Architect's Tech Stack
Jun 22, 2025 · Backend Development

Boost API Performance: 12 Proven Backend Optimization Techniques

This article presents a comprehensive set of twelve backend optimization strategies—including batch processing, asynchronous execution, caching, pooling, parallelism, indexing, transaction management, and SQL tuning—to dramatically reduce API latency and improve overall system efficiency.

API optimizationAsynchronousBackend Performance
0 likes · 9 min read
Boost API Performance: 12 Proven Backend Optimization Techniques
Su San Talks Tech
Su San Talks Tech
Jun 7, 2025 · Backend Development

10 Proven Strategies to Supercharge API Performance in Java Applications

This article presents a comprehensive set of practical techniques—including batch processing, asynchronous execution, caching, preprocessing, pooling, parallelization, indexing, pagination, SQL tuning, and lock granularity—to dramatically reduce API latency and improve overall backend system efficiency.

API optimizationAsynchronousBackend Performance
0 likes · 12 min read
10 Proven Strategies to Supercharge API Performance in Java Applications
macrozheng
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 optimizationAsynchronousBackend Performance
0 likes · 10 min read
Boost API Performance: 12 Proven Backend Optimization Techniques
dbaplus Community
dbaplus Community
Jan 23, 2025 · Backend Development

10 Proven Techniques to Supercharge Java API Performance

This guide presents a comprehensive set of practical strategies—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction sizing, program refactoring, pagination, SQL tuning, and lock granularity—to dramatically reduce API latency in Java backend services.

API optimizationAsynchronousJava
0 likes · 10 min read
10 Proven Techniques to Supercharge Java API Performance
Architect
Architect
Apr 8, 2024 · Backend Development

Mastering Batch Processing: Boost API Performance and Cut Overhead

This guide explains why batch processing is essential for API tuning and provides step‑by‑step techniques—including bulk database operations, request merging, pagination, parallel execution, caching, and monitoring—backed by concrete Java code samples and SQL queries to help engineers dramatically improve throughput and latency.

API optimizationBatch ProcessingDatabase Performance
0 likes · 33 min read
Mastering Batch Processing: Boost API Performance and Cut Overhead
Java Architect Essentials
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 optimizationAsynchronousBatch Processing
0 likes · 10 min read
Comprehensive Interface Performance Optimization Strategies
Sanyou's Java Diary
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 optimizationBackendJava
0 likes · 19 min read
18 Proven Strategies to Supercharge Backend API Performance
IT Architects Alliance
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 ExecutionBatch Processing
0 likes · 8 min read
Common Interface Performance Optimization Strategies
Architect
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 optimizationBackend Performanceindexing
0 likes · 9 min read
Common Interface Performance Optimization Strategies
macrozheng
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 optimizationBackend Performanceasynchronous processing
0 likes · 10 min read
Boost API Performance: 11 Proven Backend Optimization Techniques
DaTaobao Tech
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 optimizationAsynchronousNetwork Latency
0 likes · 9 min read
Client‑Side Interface Performance Optimization: Analysis and Solutions
HomeTech
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 optimizationBackendGraphQL
0 likes · 15 min read
Using GraphQL to Reduce API Calls and Manage Data Complexity in Frontend Development
Programmer DD
Programmer DD
Aug 3, 2020 · Backend Development

How I Cut Search API Latency from 150ms to 32ms in 10 Days

This article recounts a developer's step‑by‑step optimization of a search API—detailing four load‑test rounds, configuration tweaks, batch queries, caching, and code clean‑up—that ultimately reduced average response time from 150 ms to 32 ms, meeting a sub‑100 ms requirement.

API optimizationOpenSearchredis
0 likes · 7 min read
How I Cut Search API Latency from 150ms to 32ms in 10 Days