tencent cloud

Elasticsearch Service

User Guide
Release Notes and Announcements
Release Notes
Product Announcements
Security Announcement
Product Introduction
Overview
Elasticsearch Version Support Notes
Features
Elastic Stack (X-Pack)
Strengths
Scenarios
Capabilities and Restrictions
Related Concepts
Purchase Guide
Billing Overview
Pricing
Elasticsearch Service Serverless Pricing
Notes on Arrears
ES Kernel Enhancement
Kernel Release Notes
Targeted Routing Optimization
Compression Algorithm Optimization
FST Off-Heap Memory Optimization
Getting Started
Evaluation of Cluster Specification and Capacity Configuration
Creating Clusters
Accessing Clusters
ES Serverless Guide
Service Overview
Basic Concepts
5-Minute Quick Experience
Quick Start
Access Control
Writing Data
Data Query
Index Management
Alarm Management
ES API References
Related Issues
Data Application Guide
Data Application Overview
Data Management
Elasticsearch Guide
Managing Clusters
Access Control
Multi-AZ Cluster Deployment
Cluster Scaling
Cluster Configuration
Plugin Configuration
Monitoring and Alarming
Log Query
Data Backup
Upgrade
Practical Tutorial
Data Migration and Sync
Use Case Construction
Index Configuration
SQL Support
Receiving Watcher Alerts via WeCom Bot
API Documentation
History
Introduction
API Category
Instance APIs
Making API Requests
Data Types
Error Codes
FAQs
Product
ES Cluster
Service Level Agreement
Glossary
New Version Introduction
Elasticsearch Service July 2020 Release
Elasticsearch Service February 2020 Release
Elasticsearch Service December 2019 Release

Scenarios

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Terakhir diperbarui: 2024-11-29 19:33:02

Log Analysis

Devices such as website servers, mobile devices, and IOT sensors can generate a high number of logs in various types that are stored on scattered nodes, which poses a great challenge to services relying on log search like troubleshooting and business analysis. ES provides a flexible, scalable, real-time, and centralized storage scheme and a full-text search feature to facilitate unified management and query of logs, helping you quickly identify and locate problems and improve the troubleshooting efficiency.
In-site search service for massive amounts of data such as search for ecommerce items, mobile apps, and organizational information is a necessary way to get the desired information efficiently. ES has a full-text search feature that can retrieve structured and unstructured data with ease. It also provides simple and convenient RESTful APIs and clients in various programming languages to help you quickly build a stable search service and integrate it into your existing business framework.

Business Intelligence (BI)

While data-driven operation is gaining popularity in today's industry landscape, businesses such as ecommerce, mobile app, advertising, and media need to rely on data analysis and data mining as assistance in business decision-making; however, large-scale business data poses great challenges to statistics collection and analysis. To cope with this problem, ES provides a structured query feature and supports complex filtering and aggregated statistics, which helps you efficiently perform statistical analysis on massive amounts of data, discover problems and opportunities, assist in business decision-making, and tap into the value of data.

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