Elasticsearch Service

Elastically scalable, secure and reliable Elasticsearch service for analysis and search of massive amounts of data

Overview

Tencent Cloud Elasticsearch Service (ES) is a scalable cloud-hosted Elasticsearch service with high availability built based on the open-source search engine Elasticsearch. Fully compatible with ELK architecture, ES is widely used for website search navigation, enterprise-grade search, service log exception monitoring and clickstream analysis in fields such as Internet, gaming and Internet-based finance.

Benefits

Elastic Deployment

ES comes in a variety of node spec options, allowing for selection of the most appropriate models based on data and query volume and customization of node storage capacity on demand for different scenarios to minimize wasteful costs caused by resource idleness. As your data volumes increase with business growth, clusters can be dynamically scaled to meet ever-changing business needs in real time.

Ease of Use

An ES cluster can be created in just minutes through a simple configuration process, eliminating the need for deploying and debugging hardware and software. ES also provides convenient cluster OPS tools (via Kibana pages) and a comprehensive cluster monitoring and alarming system to meet your daily cluster OPS needs.

Openness

ES supports the complete ELK ecosystem, covering the entire lifecycle from data collection to storage and consumption. It provides a RESTful API that enables you to build custom applications on the ES cluster with ease by selecting the plug-ins and clients most suitable to the characteristics of your business.

High Availability

ES adopts a multi-node and multi-replica deployment scheme which intelligently detects and replaces faulty nodes, reducing the risk of data loss caused by failures and ensuring data security and service stability.

Security

ES is deployed on logically isolated VPCs, enabling you to have full control over your VPC environment configuration and customize network access control lists and security groups. Further, access can be controlled via Kibana and an IP-based access blacklist and whitelist mechanism, systematically protecting the security of your cloud resources.

Service Integration

ES can be easily integrated with other products of Tencent Cloud such as COS, Flow Logs, Message Queue and CDB to provide users with various data capabilities like data transfer and backup for different usage scenarios.

Features

ES includes two components, i.e. Elasticsearch and Kibana. You can create an ES cluster quickly for log analysis and data search services.
Data Collection and Synchronization

Real-time logs of other cloud products such as CVM, CDB and CS and the stocked and incremental business data can be aggregated and transferred to the ES cluster through relevant data collection and transfer tools including Beats and Logstash for distributed data storage, query and analysis.

Scenarios

Log Analysis

Logs generated by devices such as web servers, mobile devices and IoT sensors are inherently scattered across nodes and vary in type and volume, posing a major challenge for troubleshooting and business analysis through log search. Featuring an elastically scalable and near real-time centralized storage solution and full-text search capability, ES simplifies the unified management and query of logs, helping users quickly locate issues and improve troubleshooting efficiency.

Full-text Search

Searches for ecommerce items, mobile applications, in-organization messages and other internal searches are necessary means for obtaining information efficiently. ES features full-text search with excellent support for both structured and unstructured data. In addition, it offers a RESTful API and multi-lingual client, allowing you to quickly and easily build stable search services that can be integrated into your existing business frameworks.

Business Intelligence (BI)

In the context of data-driven operations, fields such as ecommerce, mobile applications, advertising and media require in-depth statistical analysis and mining of data to assist business decision-making. However, the massive amounts of business data collected have posed a major challenge to companies in these fields. ES is capable of structural queries and supports complex filtering and aggregated statistics, helping customers perform statistical analysis of large volumes of data in an efficient and customized manner, identify problems and opportunities, make business decisions and fully unleash the value of data.