Search Engine

Convenient Creation and Management of Search Engine in Web Environments

Search Engine offers Elasticsearch for machine learning data analysis and OpenSearch for large-scale searches with automated configurations and environments. The service runs in Virtual Server environments for reliable management and VPC-based single instance or cluster architecture is available. Backup/recovery, monitoring and other automation features support server log analysis, full text search, and application monitoring.

Overview

01

04

Service Architecture

Input → Search Engine
Input: Files, Message, Metric Data, Web Contents, Logs
Search Engine
  • Elesticsearch
    1. Master 1 : data node1 (p0, r1)
    2. Master 2 : data node2 (r2, p1)
    3. Master 3 : data node2 (p3, r0)
    Kibana
  • OpenSearch
    1. Master 1 : data node1 (p0, r1)
    2. Master 2 : data node2 (r2, p1)
    3. Master 3 : data node2 (p3, r0)
    Dashboard

Key Features

  • Rapid and secure instance creation
    1. Auto Provisioning : Automatically install Search Engine using Virtual Server with various spec
    2. Cluster configuration : Own replica architecture to guarantee availability
  • Simple and convenient management
    1. Backup : Store in Object Storage using its own backup function
    2. Recovery : Able to recover to a specific point in time based on backup files stored in Object Storage
    3. Monitoring : Monitor Virtual Server resources(CPU and Memory)
      and Search Engine status

※ Search Engine service provides Elasticsearch Enterprise 8 of Elastic and OpenSearch, an open source. Elasticsearch Enterprise’s software licenses use Bring Your Own License(BYOL), and software licenses in the cloud must comply with the policies of Elastic.

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