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Technical Articles

Database

Performance optimization in Java microservice architecture

Performance optimization for Java microservices architecture includes the following techniques: Use JVM tuning tools to identify and adjust performance bottlenecks. Optimize the garbage collector and select and configure a GC strategy that matches your application's needs. Use a caching service such as Memcached or Redis to improve response times and reduce database load. Employ asynchronous programming to improve concurrency and responsiveness. Split microservices, breaking large monolithic applications into smaller services to improve scalability and performance.

Jun 04, 2024 pm 12:43 PM

Java 性能优化

Golang framework usage tips and troubleshooting

Tips for using the Go framework include dependency management, middleware initialization, cache utilization, error handling, and type safety. Troubleshooting issues involving unrecognized handler functions, middleware not executing, application crashes, and poor performance. Practical cases demonstrate the use of the Gin framework to create simple web applications.

Jun 04, 2024 am 11:20 AM

框架 Golang

How to improve response time of Java framework

In order to improve the response time of the Java framework, first identify bottlenecks, including database queries, data caching, parallel processing and asynchronous processing. Optimize database queries by using indexes, avoiding N+1 queries and using lazy loading. Caching data uses local caching or distributed caching solutions. Parallel processing uses the Fork/Join framework or the Callable and Future classes. Asynchronous processing uses CompletableFuture or ReactorPattern. Minimize network requests by merging requests and using a CDN. By implementing these strategies, case studies have shown query times reduced by 90%, cache times reduced by 90%, and response times improved by 20%.

Jun 04, 2024 am 11:11 AM

Java 响应时间

Optimization strategies for distributed transaction processing in high concurrency scenarios

Strategies for optimizing distributed transactions under high concurrency include: 1. Use a distributed transaction coordinator (such as ZooKeeper); 2. Optimize data sharding; 3. Use asynchronous processing; 4. Optimize the lock mechanism; 5. Reduce the scope of the transaction. These optimization strategies help improve concurrent processing capabilities, reduce transaction failure rates, and ensure the stability of distributed systems.

Jun 04, 2024 am 10:22 AM

分布式事务高并发场景优化

PHP code optimization and performance improvement

PHP code optimization is the key to improving web development performance. This article provides seven practical techniques: 1. Caching system to reduce database overhead; 2. Use PHP built-in functions to improve efficiency; 3. Optimize database query speed; 4. Choose appropriate data structures; 5. Reduce the number of function calls; 6. Asynchronous Program to avoid blocking operations; 7. Monitor application performance to identify bottlenecks.

Jun 03, 2024 pm 10:44 PM

性能 PHP

The best guide to java framework performance tuning

Best Java Framework Performance Tuning Guide: Analysis using tools like JProfiler, VisualVM, jstack, and jmap. Adjust JVM configuration to optimize memory allocation, garbage collection and JIT compilation. Use connection pooling to optimize database connections, limit the number of connections and optimize queries. Reuse objects, for example using Guava object pooling. Use asynchronous programming (such as asyncio or SpringWebFlux). Use a cache (such as Redis or Memcached). Limit the number of threads and use a thread pool to manage thread lifecycle.

Jun 03, 2024 pm 10:33 PM

Java 性能调优

Questions and Answers on PHP Performance Optimization Architecture Design

In order to improve the performance of concurrent, high-traffic PHP applications, it is crucial to implement the following architectural optimizations: 1. Optimize PHP configuration and enable caching; 2. Use frameworks such as Laravel; 3. Optimize code to avoid nested loops; 4. Optimize database, Build index; 5. Use CDN to cache static resources; 6. Monitor and analyze performance, and take measures to solve bottlenecks. For example, website user registration optimization successfully handled a surge in user registrations by fragmenting data tables and enabling caching.

Jun 03, 2024 pm 07:15 PM

PHP 性能优化

Performance optimization tips and best practices for Java frameworks

The performance of Java framework applications can be significantly improved by adopting best practices: using caching to reduce database pressure and improve performance. Find data quickly using database indexes. Avoid N+1 queries and reduce the number of queries. Use efficient data structures such as HashMap. Utilize performance analysis tools to identify and fix performance bottlenecks.

Jun 03, 2024 pm 07:02 PM

性能优化 Java框架

Caching strategies in Java microservice architecture

Caching strategy in Java microservice architecture In microservice architecture, caching plays a vital role, which can significantly improve system performance and responsiveness. This article will introduce common caching strategies in Java microservice architecture and provide practical cases to show how to use them. Cache strategy type Local cache: This strategy caches data within individual microservice instances to reduce interaction with backend storage. Distributed caching: Use a dedicated cache server, such as Redis or Memcached, to share data among multiple microservice instances. Read-write cache: Allows reading and writing data from the cache. Write-through cache: Although the data will be cached, update operations will be written directly to the backend storage without updating the cache first. Write back delay

Jun 03, 2024 pm 06:49 PM

Java 缓存策略

Compatibility issues between JavaEE and container technology

When using Java EE containerized applications, you may encounter compatibility issues such as session state management, dependency injection, resource pooling, and security. Solutions to these problems include using external session storage, configuring JNDI, managing resource pools, and configuring security to ensure that Java EE applications are seamlessly integrated with container technology and gain the advantages of containerization.

Jun 03, 2024 pm 05:11 PM

javaee 容器技术

Performance optimization of Java framework in cloud environment

In a cloud environment, optimizing Java framework performance is crucial. Common techniques include: using caching to reduce database access and latency. Optimize database queries to improve query efficiency. Optimize network communications to reduce latency and request volume. Use thread pools to improve concurrent request processing efficiency. Continuous monitoring and analysis identifies bottlenecks and implements improvements.

Jun 03, 2024 pm 04:19 PM

Java 云优化

Microservice architecture performance tuning of Java framework

Java microservices architecture performance can be optimized by adopting the following strategies: Optimizing database queries using asynchronous processing Caching data Using lightweight frameworks Adopting microservices governance tools

Jun 03, 2024 pm 04:12 PM

微服务架构 Java框架

Java Framework Performance Tuning Guide

For Java framework performance tuning, best practices include: enabling code optimization, optimizing GC, using caching, leveraging parallel processing, optimizing database queries, selecting appropriate data structures, reducing network overhead, and monitoring and diagnostics. By applying these measures, our e-commerce applications experienced significant improvements in response time and throughput, improved user experience and increased application capacity.

Jun 03, 2024 pm 02:09 PM

Java 性能优化

Performance bottlenecks and optimization of PHP cross-platform development

Common performance bottlenecks in PHP cross-platform development include: slow database queries, memory leaks, slow file processing, external API integration, and poorly written code. Application performance can be improved through techniques such as database query optimization, memory optimization, file processing optimization, external API integration optimization, and code optimization. For example, asynchronous file upload technology can significantly increase file upload speeds, thereby optimizing file processing.

Jun 03, 2024 pm 12:42 PM

PHP 跨平台开发