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ues
Product Introduction

Product Introduction

UES, built based on the open-source Elasticsearch, is a distributed full-text search engine service with multi-user capabilities. UES provides services by creating clusters, enabling quick deployment of clusters, and providing customers with the capability to perform real-time search and analysis on massive stored data.

Product Features

* Massive data storage, retrieval, and analysis

Handle massive data nearly in real time, full-text search, structured search, data analysis.

* Quick deployment, easy to use

Able to deploy and initialize service clusters within minutes. The service comes with common word segmentation, document parsing, and SQL plugins, and also supports operations such as linear expansion of the cluster.

* Superior performance, secure and reliable

The underlying nodes use high-performance SSD disks, and the operation of the cluster has basic and efficient support for data backup, data migration, and fault recovery. The service cluster operates in a private network to ensure the security of data entry and retrieval.

* Performance monitoring, provide visual management

The service supports rich performance metric monitoring, and comes with a visualization management platform Kibana which includes authority verification, to better help customers manage and maintain their own service clusters.

* Rich node configuration, flexible billing

Support annual, monthly, and hourly billing. It can select the appropriate node configuration and billing cycle according to business needs, effectively controlling costs.

Product Use Cases

* Log management analysis

Analyze web pages, mobile devices, servers, and other non-structured and semi-structured logs for error troubleshooting, application monitoring, fraud detection, and other analysis scenarios.

* Full-text search

Search and navigation services in e-commerce, O2O, enterprise, and other industries.

* Document storage

Provide friendly support for the storage and analysis of Json documents.

* Data storage (database functions)

Start a new project, consider using ES as the only data storage to help keep the design as simple as possible. This scenario does not support operations that involve frequent updates, transactions.

* Data analysis of traditional databases

For a complex running system, there is a need to add search services to the existing system. A relatively safe way is to add ES as a new component to the existing system.