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Última atualização: 2026-10-30 15:11:34

Traduzido e Verificado por IA

﻿Spring Boot is a development framework based on the Spring framework that significantly improves development efficiency through automatic configuration, standalone operation, and production-grade features. It allows developers to focus on implementing business features, providing robust support for building monolithic applications or microservice architectures, enabling fast, simple, and efficient development. This document aims to help customers build Tencent Cloud Distributed Cache client latency monitoring based on Spring Boot, thus optimizing Tencent Cloud Distributed Cache performance and improving system stability.
Content Overview
Brief Description
﻿Preparation﻿
Prepare the CVM environment, and install Spring Boot, JDK, and Maven.
﻿Tencent Cloud Distributed Cache configurations and operations based on Spring Boot﻿
Configure Tencent Cloud Distributed Cache related features based on the Spring Boot project, mainly involving the introduction of the Spring Data Redis component dependency, configuring connection information, and integrating tool classes or templates for Tencent Cloud Distributed Cache operations. Quickly configure and use Tencent Cloud Distributed Cache to perform CRUD operations on Tencent Cloud Distributed Cache data.
﻿Monitoring through Prometheus and Grafana﻿
This practice tutorial exposes full-linkage latency data through Spring Boot Actuator. By using monitoring components such as Prometheus and Grafana, it enables the monitoring of the Tencent Cloud Distributed Cache command latency from the client, thereby assisting customers in achieving full-linkage business monitoring and issue location.

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tencent cloud

Tencent Cloud Distributed Cache (Redis OSS-Compatible)

Overview

Ajuda e Suporte

Content Overview	Brief Description
Preparation	Prepare the CVM environment, and install Spring Boot, JDK, and Maven.
Tencent Cloud Distributed Cache configurations and operations based on Spring Boot	Configure Tencent Cloud Distributed Cache related features based on the Spring Boot project, mainly involving the introduction of the Spring Data Redis component dependency, configuring connection information, and integrating tool classes or templates for Tencent Cloud Distributed Cache operations. Quickly configure and use Tencent Cloud Distributed Cache to perform CRUD operations on Tencent Cloud Distributed Cache data.
Monitoring through Prometheus and Grafana	This practice tutorial exposes full-linkage latency data through Spring Boot Actuator. By using monitoring components such as Prometheus and Grafana, it enables the monitoring of the Tencent Cloud Distributed Cache command latency from the client, thereby assisting customers in achieving full-linkage business monitoring and issue location.