Cloud Search Service

Cloud Search Service (CSS) is a fully managed distributed search service powered by Elasticsearch. It is fully compatible with Elasticsearch APIs and provides you with structured and unstructured data search, statistics, and reports.

CSS allows you to build search boxes, making it easier to find what you need, and set up a log analysis platform to monitor service logs and analyze traffic.

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Product Advantages
  • Ease of Use

    You can search terabytes of data in just milliseconds, and review and analyze your search results using a visualized platform.

  • Easy O&M

    Search is fully managed, out-of-the-box. You can get started with just a few clicks, and a dedicated, professional support team is always there, ready to help.

  • Flexibility and Scalability

    On-demand requests are not a problem, and you can expand online capacity without interrupting services.

  • Custom Dictionaries

    Include dictionaries customized by domain and modify them without restarting clusters.

Application Scenarios
  • Log Analysis

  • Site Search

Log Analysis

Log Analysis

O&M analysis and fault location for IT devices, operational analysis based on service metrics

Advantages

Statistical Analysis

Over 20 statistical analysis methods and nearly 10 analytical dimensions

Real-Time Search

Insights within seconds once new data indexed

Visualized Data

Analysis displayed in tables, line charts, heat maps, or cloud maps

Related Services

obs

mrs

Site Search

Site Search

Website content search by keyword and search for products on e-commerce sites with recommendations included

Advantages

Real-Time Search

Find the content or products you are looking for within minutes or even just seconds.

Statistical Categories

Create custom requirements and produce categorized statistics on user searches.

Custom Highlight Style

Allow you to customize the way search results are highlighted.

Related Services

OBS

RDS for MySQL

Functions

  • Compatible with Elasticsearch APIs

    Use open-source Elasticsearch APIs that fully comply with ecosystems such as Beats and Kibana.

  • Various Data Sources

    Access data directly from FTP, OBS, HBase, Kafka, and other sources. There is no need to write code to access your data.

  • Simple Operations

    Conduct small-scale testing and large-scale rollout; or apply for, add, or restart clusters with just a few clicks.

Compatible with Elasticsearch APIs

Various Data Sources

Simple Operations

  • Custom Dictionaries

    Add custom dictionaries and Pinyin Analysis plugin. The dictionary takes effect immediately once configured. There is no need to restart your cluster.

  • Custom Snapshot Policy

    Create snapshots manually or configure an automated schedule.

Custom Dictionaries

Custom Snapshot Policy

Recommended Configurations

Economical Cluster

Basic business requirements

Economical Cluster

Basic business requirements

Configuration

  • Nodes 3
  • Node Specs 2 vCPUs, 16 GB
  • Data Disk Type High I/O
  • Data Disk Size 100 GB/node

Scenarios

  • App search, web search, log analysis
  • Suitable for small- and medium-sized customers with less than 100 GB of data. Provide website building, app search, site monitoring, and traffic analysis.

Common Cluster

High concurrency, large data volume

Common Cluster

High concurrency, large data volume

Configuration

  • Nodes 5
  • Node Specs 4 vCPUs, 32 GB
  • Data Disk Type High I/O
  • Data Disk Size 300 GB/node

Scenarios

  • App search, web search, log analysis
  • Suitable for medium-sized customers with less than 500 GB of data. Provide effective search and log analysis and ensure high data reliability.

Analysis-specific Cluster

High performance, large capacity

Analysis-specific Cluster

High performance, large capacity

Configuration

  • Nodes 9
  • Node Specs 8 vCPUs, 64 GB
  • Data Disk Type Ultra-high I/O
  • Data Disk Size 800 GB/node

Scenarios

  • App search, web search, log analysis
  • Suitable for large-sized customers who need to build a powerful search center or to provide a unified log analysis platform for website operations and IT system O&M.
Usage Guides

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