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backend optimization

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Bilibili Tech
Bilibili Tech
Mar 14, 2025 · Backend Development

Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios

Bilibili’s ticketing platform evolved from a single‑transaction, synchronous design to an asynchronous batch system and finally to a Redis‑cached inventory layer, adding DB isolation changes, sharding, bloom‑filter protection and adaptive rate limiting, which together enabled handling up to 930 k requests per second and stable high‑concurrency ticket sales.

Database IsolationRedis cachingasynchronous processing
0 likes · 18 min read
Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Dec 4, 2024 · Backend Development

How Nginx Achieves Million-Connection Concurrency: Architecture and Optimization Techniques

This article explains how Nginx uses an event‑driven, asynchronous non‑blocking I/O model together with epoll/kqueue and various optimization strategies such as keep‑alive, caching, efficient data structures and load balancing to handle millions of concurrent connections in large‑scale internet architectures.

Load Balancingasynchronous I/Obackend optimization
0 likes · 5 min read
How Nginx Achieves Million-Connection Concurrency: Architecture and Optimization Techniques
IT Services Circle
IT Services Circle
Jul 31, 2024 · Frontend Development

How to Diagnose and Fix Slow Web Page Performance

This comprehensive guide explains how to identify and resolve slow web page performance by addressing hardware resources, network configuration, and both front‑end and back‑end optimizations such as server upgrades, CDN usage, HTTP/2, image compression, code minification, caching, and efficient database queries.

CDNCachingDatabase Tuning
0 likes · 5 min read
How to Diagnose and Fix Slow Web Page Performance
Zhuanzhuan Tech
Zhuanzhuan Tech
Jan 4, 2024 · Backend Development

Three‑Step Strategy for Identifying and Removing Zombie Services, Methods, and Component Dependencies

This article presents a detailed three‑step plan used by Zhezhuan to detect and eliminate zombie services, unused code methods, and obsolete component dependencies through monitoring, static analysis with Spoon, and Java‑agent based runtime tracing, achieving significant resource savings and improved code health.

Javabackend optimizationmonitoring
0 likes · 13 min read
Three‑Step Strategy for Identifying and Removing Zombie Services, Methods, and Component Dependencies
Qunar Tech Salon
Qunar Tech Salon
Dec 12, 2023 · Backend Development

System Slimming at Qunar Travel: Reducing Code and Service Footprint by 50% Using Observability and Automation

This article presents Qunar Travel's "system slimming" project, describing how observability techniques, a two‑stage strategy, and automated tooling were used to identify and remove unused services and code, achieving a 50% reduction in code size, a 26% cut in services, and measurable improvements in reliability and release efficiency.

AutomationJavabackend optimization
0 likes · 20 min read
System Slimming at Qunar Travel: Reducing Code and Service Footprint by 50% Using Observability and Automation
Top Architect
Top Architect
Oct 8, 2023 · Backend Development

Merging Backend Requests in SpringBoot to Reduce Database Connections

This article explains how to merge multiple backend requests in a SpringBoot application using a blocking queue, ScheduledThreadPoolExecutor, and CompletableFuture to batch database queries, reduce connection overhead, handle high concurrency, and includes full Java code examples and performance testing.

Java ConcurrencySpringBootbackend optimization
0 likes · 15 min read
Merging Backend Requests in SpringBoot to Reduce Database Connections
Beijing SF i-TECH City Technology Team
Beijing SF i-TECH City Technology Team
Sep 27, 2023 · Backend Development

Performance Analysis and Optimization Report for a Logistics Platform

This report analyzes performance issues in a logistics platform, identifying backend IC card interface timeouts causing database connection pool exhaustion and frontend problems from excessive DOM elements and network loading, then proposes optimizations including interface migration, CDN, compression, preloading, domain sharding, and virtual scrolling.

IC card interfaceVirtual Scrollingbackend optimization
0 likes · 9 min read
Performance Analysis and Optimization Report for a Logistics Platform
Top Architect
Top Architect
Jun 6, 2023 · Backend Development

Design Principles and Optimizations for High‑Traffic High‑Concurrency Systems

This article outlines the essential design principles, client‑side optimizations, CDN usage, clustering, caching, database tuning, and service governance techniques required to build and maintain high‑traffic, high‑concurrency backend systems that are reliable, scalable, and performant.

Cachingbackend optimizationhigh concurrency
0 likes · 12 min read
Design Principles and Optimizations for High‑Traffic High‑Concurrency Systems
Architecture Digest
Architecture Digest
Apr 26, 2023 · Backend Development

Common API Performance Optimization Strategies

This article outlines a comprehensive set of backend API performance optimization techniques—including batch processing, asynchronous execution, caching, pre‑processing, pooling, parallelization, indexing, transaction handling, SQL tuning, and lock granularity—to reduce latency and improve system efficiency.

API performanceAsynchronous ExecutionCaching
0 likes · 9 min read
Common API Performance Optimization Strategies
Inke Technology
Inke Technology
Oct 27, 2022 · Artificial Intelligence

Scaling Card‑Based Social Matching with Multi‑Task AI Models and Efficient Backend

This article details the design and optimization of Jimu’s card‑based stranger‑social recommendation system, covering product background, gameplay flow, technical challenges in strategy and engineering, a multi‑task AI ranking model, vector recall improvements, and the resulting performance gains.

Vector Retrievalbackend optimizationmulti-task learning
0 likes · 20 min read
Scaling Card‑Based Social Matching with Multi‑Task AI Models and Efficient Backend
JD Retail Technology
JD Retail Technology
Oct 10, 2022 · Backend Development

Design and Implementation of Asynchronous Pagination for JD Shopping Cart Auxiliary Information

This article presents a comprehensive case study of how JD.com tackled the growing load of its shopping‑cart service by introducing an asynchronous pagination mechanism for auxiliary product information, detailing the background, objectives, technical architecture, challenges, and measurable performance and cost benefits.

Asynchronous LoadingJD.combackend optimization
0 likes · 13 min read
Design and Implementation of Asynchronous Pagination for JD Shopping Cart Auxiliary Information
Top Architect
Top Architect
Jul 13, 2022 · Fundamentals

Understanding Bloom Filters, Counting Bloom Filters, and Cuckoo Filters

This article explains the motivation behind using filters to reduce database I/O, introduces Bloom filters and their bitmap implementation, discusses their limitations, then covers Counting Bloom filters and Cuckoo filters—including their hash structures, deletion support, performance trade‑offs, and practical improvements.

Bloom FilterCounting BloomCuckoo filter
0 likes · 13 min read
Understanding Bloom Filters, Counting Bloom Filters, and Cuckoo Filters
政采云技术
政采云技术
Jun 14, 2022 · Backend Development

Performance Testing, Response Time Analysis, and Database Connection Pool Optimization for a Multi‑Table Query Service

This article presents a comprehensive performance testing case study of a multi‑table database query interface, detailing common performance metrics, response‑time classifications, step‑by‑step load‑test results, root‑cause analysis of CPU, memory, and connection‑pool bottlenecks, and demonstrates how tuning Druid’s maxActive and maxWait parameters optimizes throughput and reduces latency.

Database Connection PoolDruidMyBatis
0 likes · 12 min read
Performance Testing, Response Time Analysis, and Database Connection Pool Optimization for a Multi‑Table Query Service
Alimama Tech
Alimama Tech
Jun 1, 2022 · Backend Development

Dynamic Compute Allocation and RT Control in Alibaba's Display Advertising Engine

Alibaba’s display advertising engine ‘Transformers’ introduces a four‑generation compute‑efficiency framework that allocates compute dynamically based on request value and controls real‑time latency through a three‑step, feedback‑driven process, delivering deeper retrieval, lower P99 latency, higher CTR and RPM while maintaining stable recall‑chain performance.

RT controladvertising enginebackend optimization
0 likes · 17 min read
Dynamic Compute Allocation and RT Control in Alibaba's Display Advertising Engine
IT Architects Alliance
IT Architects Alliance
May 21, 2022 · Backend Development

Cache Usage Techniques and Design Strategies

This article explains how caching can accelerate read/write performance and reduce backend load, analyzes its benefits and costs, and details practical design patterns such as update policies, granularity control, penetration, bottom‑hole, avalanche, and hot‑key optimizations for reliable high‑performance systems.

CachingDistributed SystemsPerformance
0 likes · 13 min read
Cache Usage Techniques and Design Strategies
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Mar 21, 2022 · Backend Development

Optimization of Local Vector Retrieval: Filtering, Storage, and Sorting Strategies

This article presents a comprehensive study of local vector retrieval optimization, covering memory‑based filtering techniques, Redis‑backed vector storage designs, and various sorting algorithms—including radix and heap‑based approaches—to achieve lower latency and higher throughput for large‑scale ad recommendation systems.

RedisSortingVector Search
0 likes · 13 min read
Optimization of Local Vector Retrieval: Filtering, Storage, and Sorting Strategies
Top Architect
Top Architect
Feb 11, 2022 · Backend Development

Cache Design and Optimization Strategies for High‑Concurrency Distributed Systems

The article explains why caching is essential in high‑concurrency distributed systems, analyzes its benefits and costs, and then details various cache update, penetration, no‑hole, avalanche, and hot‑key rebuilding techniques, offering practical guidance for backend engineers.

Cache AvalancheCache EvictionCache Penetration
0 likes · 14 min read
Cache Design and Optimization Strategies for High‑Concurrency Distributed Systems
Baidu Geek Talk
Baidu Geek Talk
Nov 15, 2021 · Backend Development

Baidu Short Video Push System: Architecture Design and Billion-Level Data Optimization Practice

Baidu’s Short Video Push System is a distributed platform serving hundreds of millions of users across multiple apps, delivering personalized, real‑time notifications via a modular architecture that includes material and user centers, recall, preprocessing, and delivery services, while optimizations such as activity‑based scheduling, bitmap‑based user segmentation, consistent‑hash frequency control, and protobuf compression boost click‑through rates, scalability, and resource efficiency.

BaiduProtobufPush Notification
0 likes · 15 min read
Baidu Short Video Push System: Architecture Design and Billion-Level Data Optimization Practice
Architect's Tech Stack
Architect's Tech Stack
Oct 25, 2021 · Backend Development

SpringBoot Project Optimization and JVM Tuning Guide

This article provides a step‑by‑step guide on optimizing SpringBoot projects by modifying configuration files and tuning JVM parameters, covering both IDE‑based VM options and command‑line scripts, with detailed explanations of each setting and practical examples.

ConfigurationJVM TuningJava
0 likes · 6 min read
SpringBoot Project Optimization and JVM Tuning Guide
Ctrip Technology
Ctrip Technology
Oct 14, 2021 · Backend Development

Optimizing a High‑Concurrency Ticket Reservation System for the "Travel with Love" Campaign

This article presents a comprehensive case study of the technical challenges and optimization strategies—including traffic surges, cache penetration, cache breakdown, limit‑purchase handling, and inventory deduction—encountered during a large‑scale ticket reservation event, and demonstrates how systematic backend improvements achieved over 50% performance gains and 98% cache hit rate.

CachingDistributed SystemsPerformance
0 likes · 13 min read
Optimizing a High‑Concurrency Ticket Reservation System for the "Travel with Love" Campaign