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Articles by Config.setmaximum PoolSize

Configure AWS Advanced JDBC Wrapper connection pooling with the assistant

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By Dave Cramer, Config.setmaximum PoolSize, Lee Youngdong
| Amazon Web Services (AWS)
AWS Database Blog In this post, we show you how to configure connection pooling for the AWS Advanced JDBC Wrapper on Amazon Aurora and Amazon Relational Database Service. You also learn how the wrapper’s external and internal pooling differ, how to choose between them, and how JDBC-WRAPPER-CONFIGURATION-ASSISTANT helps you build the right configuration.
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Connection pooling strategies in Amazon Aurora DSQL

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By Dhvani Shah, Config.setmaximum PoolSize, Tejas Dubey
| Amazon Web Services (AWS)
AWS Database Blog In this post, you’ll learn four concrete strategies that help you reduce Aurora DSQL connection overhead, stay within the 100-connections-per-second rate limit, and avoid thundering-herd reconnection storms. By the end, you’ll have a production-ready checklist for configuring connection pools that support reliable performance at scale. Connection pooling strategies determine whether your Amazon Aurora DSQL applications scale reliably or fail under load.
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Solon物联网：设备管理平台-CSDN博客

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By long startTime, Config.setmaximum PoolSize, config.setMinimum Idle, config.setConnection Timeout
| CSDN
Solon物联网：设备管理平台 【免费下载链接】solon 🔥 面向全场景的 Java 企业级应用开发框架：克制、高效、开放、生态！并发高 700%；内存省 50%；启动快 10 倍；打包小 90%；同时兼容 java8 ~ java24。（对标“美国博通公司”（Broadcom）的 Spring 生态） 项目地址: https://gitcode.com/opensolon/solon 引言：物联网时代的设备管理挑战 在万物互联的时代，物联网设备数量呈指数级增长。传统设备管理方案面临诸多痛点： 海量设备连接：百万级设备并发连接，传统框架难以支撑 实时数据处理：设备数据高频上报，需要毫秒级响应 协议多样性：MQTT、WebSocket、TCP等多种协议并存 资源受限：边缘设备计算和存储资源有限 安全可靠：数据传输和存储需要端到端安全保障 Solon框架凭借其轻量级、高性能的特性，为物联网设备管理提供了全新的解决方案。 Solon物联网架构设计 整体架构图 核心组件说明 组件层级技术选型功能描述 协议网关 Solon Boot + Netty...
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2025年Java无服务器架构实战：AWS Lambda与Spring Cloud Function深度整合

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By Config.setmaximum PoolSize
| CSDN
本文深入探讨如何在2025年Java生态中实现AWS Lambda与Spring Cloud Function的无缝整合。我们将从基础概念讲起，逐步深入到实际部署、性能优化和最佳实践，通过详实的代码示例展示如何构建高效、可扩展的无服务器Java应用。 AWS Lambda与Java 无服务器(Serverless)架构不是真的没有服务器，而是开发者无需关心服务器管理，只需专注于业务逻辑。2025年的Java生态中，无服务器已成为主流选择之一，主要优势包括： 自动扩缩容：根据负载自动调整资源 按使用付费：只为实际执行时间付费 简化运维：无需管理基础设施 @SpringBootApplication public class TraditionalApp { public static void main(String[] args) { SpringApplication.run(TraditionalApp.class, args); } } public class ServerlessFunction { public String handleRequest(String...
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5 TestContainers Strategies That Revolutionize Java Integration Testing

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By DataSource dataSource, config.setConnection Timeout, Config.setmaximum PoolSize, oldVersion Db.getUsername
| DEV Community
As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! Testing is a critical part of software development, especially when dealing with complex applications that interact with multiple systems. As developers, we often face challenges creating realistic test environments that accurately reflect production scenarios.
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5 Proven Strategies to Boost Java Performance in Cloud-Native Applications

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By Config.setmaximum PoolSize, config.setMinimum Idle, config.setConnection Timeout
| DEV Community
As a Java developer with years of experience in cloud-native applications, I've learned that optimizing performance is crucial for success in distributed environments. Let's explore five strategies that have consistently helped me enhance Java application performance in cloud settings. Containerization is a game-changer for Java applications in the cloud. I always start by configuring the JVM to be container-aware.
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Spring Bean Scopes

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By Config.setmaximum PoolSize, config.setMinimum Idle
| DEV Community
Bean scope in Spring Framework refers to the lifecycle of a Spring bean and its visibility in the context of the application. When you create a bean definition, you create a recipe for creating actual instances of the class defined by that bean definition. The idea that a bean definition is a recipe is important, because it means that, as with a class, you can create many object instances from a single recipe.
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【架构之路】提升后端接口性能的实战技巧-CSDN博客

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By import redis.clients.jedis.Jedis, Import Config, Import Com.zaxxer.hikari.hikari DataSource, Config.setmaximum PoolSize
| CSDN
强烈推荐 前些天发现了一个巨牛的人工智能学习网站，通俗易懂，风趣幽默，忍不住分享一下给大家。点击跳转到网站:人工智能 引言 在现代软件开发中，后端接口的性能优化是确保系统高效运行的关键因素之一。 随着用户数量的增加和数据量的增长，未优化的后端接口会导致响应时间变长，用户体验下降，甚至引发系统崩溃。 本文将探讨一些常见且有效的后端接口性能优化方法，并通过具体的Java代码实例来展示如何实施这些优化策略。 无论是数据库优化、代码优化、缓存机制、负载均衡、网络优化，还是日志监控和服务器优化，每一个环节的改善都能显著提升系统性能。 优化技巧 1.
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自定义HikariCP连接池-阿里云开发者社区

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By config.setConnection Timeout, config.setMinimum Idle, Config.setmaximum PoolSize, config.setKeepalive Time
| dasizhe.cn
1、概述 官方解释： 快速、简单、可靠。HikariCP 是一个“零开销”的生产就绪 JDBC 连接池。大约 130Kb，库非常轻。 2、地址 Github 1、Hikari原生参数 1. 重要 driverClassName jdbcUrl username password 2.
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Java Data Masking Solutions Management

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By Import Config, Import Com.zaxxer.hikari.hikari DataSource, Config.setmaximum PoolSize, config.setMinimum Idle
| restack.io
Explore effective strategies for managing data sources in Java Data Masking Solutions to enhance data security and compliance. The framework for autonomous intelligence Connection pooling is particularly important when developing applications that require frequent interactions with a database. Keeping unnecessary connections open can be resource-intensive and may lead to performance degradation, which is why connection pooling plays a crucial role.
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